record_id,study_id,model_id,table,column,page,var_name_printed,taxonomy_id,taxonomy_group,x_transform,x_unit,beta,se,t,p,p_stars,ci_lo,ci_hi,confidence,notes,dep_var,dep_transform,estimator,n_obs,r2,paren,sample_subset
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,No. of rooms,bedrooms,A_structural,level,count,0.0499,0.0029,,,***,,,medium,Total number of rooms (jian) of the estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,No. of rooms,bedrooms,A_structural,level,count,0.0502,0.0035,,,***,,,medium,Total number of rooms (jian) of the estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,No. of rooms,bedrooms,A_structural,level,count,0.0626,0.0039,,,***,,,medium,Total number of rooms (jian) of the estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,No. of rooms,bedrooms,A_structural,level,count,0.0682,0.0052,,,***,,,medium,Total number of rooms (jian) of the estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,No. of Courtyards,other,other,level,count,0.32,0.0454,,,***,,,medium,Number of courtyards (size measure specific to Beijing courtyard houses); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,No. of Courtyards,other,other,level,count,0.33,0.0471,,,***,,,medium,Number of courtyards (size measure specific to Beijing courtyard houses); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,No. of Courtyards,other,other,level,count,0.269,0.0459,,,***,,,medium,Number of courtyards (size measure specific to Beijing courtyard houses); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,No. of Courtyards,other,other,level,count,0.254,0.0484,,,***,,,medium,Number of courtyards (size measure specific to Beijing courtyard houses); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Red contract,other,other,binary,binary,0.079,0.0948,,,,,,medium,Officially registered (red) vs unregistered (white) contract; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,Red contract,other,other,binary,binary,0.0958,0.121,,,,,,medium,Officially registered (red) vs unregistered (white) contract; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Red contract,other,other,binary,binary,0.0242,0.094,,,,,,medium,Officially registered (red) vs unregistered (white) contract; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,Red contract,other,other,binary,binary,0.105,0.117,,,,,,medium,Officially registered (red) vs unregistered (white) contract; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Close to commercial center,commercial_distance,D_location,binary,binary,-0.261,0.0851,,,***,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,Close to commercial center,commercial_distance,D_location,binary,binary,-0.264,0.0944,,,***,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Close to commercial center,commercial_distance,D_location,binary,binary,-0.245,0.0842,,,***,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,Close to commercial center,commercial_distance,D_location,binary,binary,-0.216,0.0917,,,**,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Far from commercial center,commercial_distance,D_location,binary,binary,-0.318,0.127,,,**,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,Far from commercial center,commercial_distance,D_location,binary,binary,-0.853,0.215,,,***,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Far from commercial center,commercial_distance,D_location,binary,binary,-0.278,0.128,,,**,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,Far from commercial center,commercial_distance,D_location,binary,binary,-0.817,0.216,,,***,,,medium,Reference: inside commercial district; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Forbidden city,cbd_distance,D_location,binary,binary,-0.0142,0.156,,,,,,medium,Adjacent to Forbidden City (political centre); reference: elsewhere in Inner City; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Forbidden city,cbd_distance,D_location,binary,binary,-0.0428,0.154,,,,,,medium,Adjacent to Forbidden City (political centre); reference: elsewhere in Inner City; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Outer city,cbd_distance,D_location,binary,binary,-0.302,0.107,,,***,,,medium,Located in Outer City (vs Inner City); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Outer city,cbd_distance,D_location,binary,binary,-0.22,0.108,,,**,,,medium,Located in Outer City (vs Inner City); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Clay material,roof_materials,A_structural,binary,binary,-0.675,0.204,,,***,,,medium,Built with clay (vs brick and tile); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,Clay material,roof_materials,A_structural,binary,binary,-0.679,0.257,,,***,,,medium,Built with clay (vs brick and tile); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Clay material,roof_materials,A_structural,binary,binary,-0.473,0.21,,,**,,,medium,Built with clay (vs brick and tile); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,Clay material,roof_materials,A_structural,binary,binary,-0.466,0.258,,,*,,,medium,Built with clay (vs brick and tile); parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Commercial estate,other,other,binary,binary,0.235,0.111,,,**,,,medium,Commercial vs residential estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,Commercial estate,other,other,binary,binary,0.151,0.15,,,,,,medium,Commercial vs residential estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Commercial estate,other,other,binary,binary,0.276,0.11,,,**,,,medium,Commercial vs residential estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,Commercial estate,other,other,binary,binary,0.206,0.147,,,,,,medium,Commercial vs residential estate; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Broken,condition,A_structural,binary,binary,-0.333,0.143,,,**,,,medium,Property in poor repair; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,Broken,condition,A_structural,binary,binary,-0.291,0.186,,,,,,medium,Property in poor repair; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Broken,condition,A_structural,binary,binary,-0.391,0.14,,,***,,,medium,Property in poor repair; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,Broken,condition,A_structural,binary,binary,-0.325,0.18,,,*,,,medium,Property in poor repair; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c1,7,1,35,Having a well,other,other,binary,binary,0.756,0.271,,,***,,,medium,Presence of a water well; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,498.0,0.522,se,"All available contracts (Inner and Outer City); 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c2,7,2,35,Having a well,other,other,binary,binary,0.64,0.335,,,*,,,medium,Presence of a water well; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,331.0,0.583,se,"Outer City contracts only; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c3,7,3,35,Having a well,other,other,binary,binary,0.507,0.269,,,*,,,medium,Presence of a water well; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,488.0,0.513,se,"All contracts, outliers (room number > 100 or = 1) dropped; 8 period dummies (25-year periods) included, not reported"
008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d,008c3229443d60b36b8e1525b5af0589f63eb75d:T7-c4,7,4,35,Having a well,other,other,binary,binary,0.354,0.328,,,,,,medium,Presence of a water well; parentheses assumed standard errors (no explicit legend; consistent with star pattern),log price of transacted estate,log,OLS,325.0,0.583,se,"Outer City only, outliers dropped; 8 period dummies (25-year periods) included, not reported"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,mk,living_area,A_structural,level,m2,0.002,,7.75,,***,,,high,"dwelling size in m2 (mean 163.9); robust SE printed as 0.000 (rounded) -> se null; columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,yas,age,A_structural,level,years,-0.019,0.002,-11.65,,***,,,high,"age of dwelling in years; columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,oda,bedrooms,A_structural,level,count,0.096,0.02,4.9,,***,,,high,"number of rooms (oda sayisi), all rooms; columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,kbk,floor_level,A_structural,level,count,0.024,0.005,4.69,,***,,,high,"floor on which the dwelling is located; columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,bks,storeys,A_structural,level,count,0.023,0.004,5.35,,***,,,high,"number of floors in the building; columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,bs,bathrooms,A_structural,level,count,0.184,0.028,6.63,,***,,,high,"number of bathrooms; columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,kombi,heating,A_structural,dummy,binary,0.05,0.051,0.97,,,,,high,"1 if heating by individual combi boiler (kombi); reference = other heating types; columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,soba,heating,A_structural,dummy,binary,0.007,0.091,0.08,,,,,high,"1 if heating by stove (soba); columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,kalorifer,heating,A_structural,dummy,binary,0.065,0.113,0.56,,,,,high,"1 if central heating (kalorifer); columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,yer,heating,A_structural,dummy,binary,-0.032,0.132,-0.25,,,,,high,"1 if underfloor heating (yerden isitma); columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,site,other,other,dummy,binary,-0.027,0.036,-0.76,,,,,high,"1 if dwelling is inside a gated housing complex (site); columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,emlk,other,other,dummy,binary,-0.047,0.026,-1.88,,*,,,high,"1 if listed by a real-estate agent (reference: sold by owner, shbn); columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78,00a2fd8a3af8f6e0e127c590fbea4879d95d7c78:T4-c1,4,1,11,daire,dwelling_type,A_structural,dummy,binary,-0.34,0.07,-5.91,,***,,,high,"1 if apartment flat (daire), reference = detached house (mustakil); columns: Katsayi (coef+stars), t istatistik, Direncli Standart Hata (White robust SE); table note says *,**,*** = 1%,5%,10% but t-values show the conventional reading (*** = 1%, * = 10%) is intended","lnp (log of listing price, TL)",log,OLS,1000.0,0.6664,se,"Full sample of 1,000 listings, five provinces; stepwise variable selection (AIC/R2), VIF>5 variables dropped; robust SE in separate column"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(SQM),living_area,A_structural,log,m2,0.777,0.005,,,***,,,high,"floor area in m2, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,LIFT,accessibility,B_interior,binary,binary,0.026,0.004,,,***,,,high,"building has a lift; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,FIREPLACE,fireplace,B_interior,binary,binary,0.108,0.01,,,***,,,high,"stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,BALCONY,terrace_balcony,C_exterior,binary,binary,0.033,0.004,,,***,,,high,"one or more balconies; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,GTERRACE,terrace_balcony,C_exterior,binary,binary,0.105,0.015,,,***,,,high,"garden terrace; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,ISHOUSE,dwelling_type,A_structural,binary,binary,0.133,0.013,,,***,,,high,"single family house (vs apartment); stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,BUILTBEF21,age,A_structural,dummy,years,0.077,0.006,,,***,,,high,"built before 1921; reference 1931-1980; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,BUILT21TO30,age,A_structural,dummy,years,0.086,0.011,,,***,,,high,"built 1921-1930; reference 1931-1980; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,BUILT81TO90,age,A_structural,dummy,years,0.018,0.005,,,***,,,high,"built 1981-1990; reference 1931-1980; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,BUILT91TO05,age,A_structural,dummy,years,0.067,0.005,,,***,,,high,"built 1991-2005; reference 1931-1980; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(CARTT_CBD),cbd_distance,D_location,log,minutes,-0.294,0.007,,,***,,,high,"average car travel time to Zürich CBD in minutes, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,PTACC,employment_access,D_location,level,index,0.006,0.001,,,***,,,high,"regional public transport accessibility to employment (log-sum index); stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(RAILSTATION),transit_distance,D_location,log,km,-0.012,0.002,,,***,,,high,"Euclidean distance to next rail station in km, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,AUTOBAHN,highway_distance,D_location,binary,binary,-0.06,0.013,,,***,,,high,"Autobahn within 100 m; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,AIRNOISE,noise,E_environment,binary,binary,-0.039,0.006,,,***,,,high,"daily average aircraft noise above 52 dB; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(HOTREST_JOBS),neighbourhood_amenities,F_neighbourhood,log,count,0.02,0.002,,,***,,,high,"jobs in hotel and restaurant industry within 1 km, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(POP_DENS),density,F_neighbourhood,log,per_hectare,-0.028,0.002,,,***,,,high,"inhabitants per hectare, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,FOREIGNERS (logit),demographics,F_neighbourhood,other,share,-0.018,0.002,,,***,,,high,"fraction of foreigners (non NW-Europe/N-America/Australia) in hectare, logit transform; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(TAXLEVEL),public_services,F_neighbourhood,log,index,-0.13,0.014,,,***,,,high,"local income tax level for individuals (index), log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,SLOPE (logit),other,other,other,share,0.016,0.002,,,***,,,high,"terrain slope (25 m raster), logit transform; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(VIEW_LAKE),view,E_environment,log,hectare,0.008,0.001,,,***,,,high,"visibility of lake surface (>1 km2) in hectares, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(VIEW_ALL),view,E_environment,log,hectare,0.005,0.002,,,**,,,high,"total visibility of terrain surface in hectares, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c1,2,Model 1,14,Ln(SOLAR_EVE),sunlight,E_environment,log,index,0.037,0.003,,,***,,,high,"evening solar exposure index, log; stars: *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.854,se,Model 1: with Ln(CARTT_CBD); adj R2; quarterly time dummies
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(SQM),living_area,A_structural,log,m2,0.776,0.005,,,***,,,high,"floor area in m2, log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,LIFT,accessibility,B_interior,binary,binary,0.024,0.005,,,***,,,high,building has a lift,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,FIREPLACE,fireplace,B_interior,binary,binary,0.118,0.011,,,***,,,high,,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,BALCONY,terrace_balcony,C_exterior,binary,binary,0.033,0.004,,,***,,,high,one or more balconies,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,GTERRACE,terrace_balcony,C_exterior,binary,binary,0.107,0.016,,,***,,,high,garden terrace,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,ISHOUSE,dwelling_type,A_structural,binary,binary,0.125,0.013,,,***,,,high,single family house (vs apartment),"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,BUILTBEF21,age,A_structural,dummy,years,0.109,0.006,,,***,,,high,built before 1921; reference 1931-1980,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,BUILT21TO30,age,A_structural,dummy,years,0.094,0.011,,,***,,,high,built 1921-1930; reference 1931-1980,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,BUILT81TO90,age,A_structural,dummy,years,0.018,0.005,,,***,,,high,built 1981-1990; reference 1931-1980,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,BUILT91TO05,age,A_structural,dummy,years,0.067,0.005,,,***,,,high,built 1991-2005; reference 1931-1980,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,CARACC,employment_access,D_location,level,index,0.119,0.005,,,***,,,high,regional car accessibility to employment (log-sum index),"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,PTACC,employment_access,D_location,level,index,0.011,0.001,,,***,,,high,regional public transport accessibility to employment (log-sum index),"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(RAILSTATION),transit_distance,D_location,log,km,-0.012,0.003,,,***,,,high,"Euclidean distance to next rail station in km, log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,AUTOBAHN,highway_distance,D_location,binary,binary,-0.067,0.013,,,***,,,high,Autobahn within 100 m,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,AIRNOISE,noise,E_environment,binary,binary,-0.096,0.006,,,***,,,high,daily average aircraft noise above 52 dB,"Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(HOTREST_JOBS),neighbourhood_amenities,F_neighbourhood,log,count,0.032,0.002,,,***,,,high,"jobs in hotel and restaurant industry within 1 km, log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(POP_DENS),density,F_neighbourhood,log,per_hectare,-0.026,0.002,,,***,,,high,"inhabitants per hectare, log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,FOREIGNERS (logit),demographics,F_neighbourhood,other,share,-0.023,0.002,,,***,,,high,"fraction of foreigners (non NW-Europe/N-America/Australia) in hectare, logit transform","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(TAXLEVEL),public_services,F_neighbourhood,log,index,-0.223,0.015,,,***,,,high,"local income tax level for individuals (index), log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,SLOPE (logit),other,other,other,share,0.026,0.002,,,***,,,high,"terrain slope (25 m raster), logit transform","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(VIEW_LAKE),view,E_environment,log,hectare,0.012,0.001,,,***,,,high,"visibility of lake surface (>1 km2) in hectares, log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(VIEW_ALL),view,E_environment,log,hectare,-0.001,0.002,,,,,,high,"total visibility of terrain surface in hectares, log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T2-c2,2,Model 2,14,Ln(SOLAR_EVE),sunlight,E_environment,log,index,0.018,0.003,,,***,,,high,"evening solar exposure index, log","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.836,se,Model 2: with CARACC instead of CARTT_CBD; adj R2
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(SQM),living_area,A_structural,log,m2,0.773,,,,,,,medium,"floor area in m2, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,LIFT,accessibility,B_interior,binary,binary,0.026,,,,,,,medium,building has a lift; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,FIREPLACE,fireplace,B_interior,binary,binary,0.085,,,,,,,medium,no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,BALCONY,terrace_balcony,C_exterior,binary,binary,0.03,,,,,,,medium,one or more balconies; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,GTERRACE,terrace_balcony,C_exterior,binary,binary,0.094,,,,,,,medium,garden terrace; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,ISHOUSE,dwelling_type,A_structural,binary,binary,0.137,,,,,,,medium,single family house (vs apartment); no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,BUILTBEF21,age,A_structural,dummy,years,0.082,,,,,,,medium,built before 1921; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,BUILT21TO30,age,A_structural,dummy,years,0.075,,,,,,,medium,built 1921-1930; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,BUILT81TO90,age,A_structural,dummy,years,0.019,,,,,,,medium,built 1981-1990; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,BUILT91TO05,age,A_structural,dummy,years,0.08,,,,,,,medium,built 1991-2005; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,CARACC,employment_access,D_location,level,index,0.113,,,,,,,medium,regional car accessibility to employment (log-sum index); no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,PTACC,employment_access,D_location,level,index,0.006,,,,,,,medium,regional public transport accessibility to employment (log-sum index); no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(RAILSTATION),transit_distance,D_location,log,km,-0.013,,,,,,,medium,"Euclidean distance to next rail station in km, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,AUTOBAHN,highway_distance,D_location,binary,binary,-0.076,,,,,,,medium,Autobahn within 100 m; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,AIRNOISE,noise,E_environment,binary,binary,-0.083,,,,,,,medium,daily average aircraft noise above 52 dB; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(HOTREST_JOBS),neighbourhood_amenities,F_neighbourhood,log,count,0.029,,,,,,,medium,"jobs in hotel and restaurant industry within 1 km, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(POP_DENS),density,F_neighbourhood,log,per_hectare,-0.028,,,,,,,medium,"inhabitants per hectare, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,FOREIGNERS (logit),demographics,F_neighbourhood,other,share,-0.014,,,,,,,medium,"fraction of foreigners (non NW-Europe/N-America/Australia) in hectare, logit transform; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(TAXLEVEL),public_services,F_neighbourhood,log,index,-0.201,,,,,,,medium,"local income tax level for individuals (index), log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,SLOPE (logit),other,other,other,share,0.016,,,,,,,medium,"terrain slope (25 m raster), logit transform; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(VIEW_LAKE),view,E_environment,log,hectare,0.01,,,,,,,medium,"visibility of lake surface (>1 km2) in hectares, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(VIEW_ALL),view,E_environment,log,hectare,0.008,,,,,,,medium,"total visibility of terrain surface in hectares, log; printed * = NOT significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c2,4,SARerr,16,Ln(SOLAR_EVE),sunlight,E_environment,log,index,0.012,,,,,,,medium,"evening solar exposure index, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_error,8592.0,,none,"spatial error model (k=9 nearest neighbours), Model 2 variables; no SE printed; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(SQM),living_area,A_structural,log,m2,0.773,,,,,,,medium,"floor area in m2, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,LIFT,accessibility,B_interior,binary,binary,0.025,,,,,,,medium,building has a lift; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,FIREPLACE,fireplace,B_interior,binary,binary,0.088,,,,,,,medium,no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,BALCONY,terrace_balcony,C_exterior,binary,binary,0.03,,,,,,,medium,one or more balconies; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,GTERRACE,terrace_balcony,C_exterior,binary,binary,0.097,,,,,,,medium,garden terrace; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,ISHOUSE,dwelling_type,A_structural,binary,binary,0.141,,,,,,,medium,single family house (vs apartment); no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,BUILTBEF21,age,A_structural,dummy,years,0.075,,,,,,,medium,built before 1921; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,BUILT21TO30,age,A_structural,dummy,years,0.07,,,,,,,medium,built 1921-1930; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,BUILT81TO90,age,A_structural,dummy,years,0.02,,,,,,,medium,built 1981-1990; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,BUILT91TO05,age,A_structural,dummy,years,0.085,,,,,,,medium,built 1991-2005; reference 1931-1980; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,CARACC,employment_access,D_location,level,index,0.068,,,,,,,medium,regional car accessibility to employment (log-sum index); no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,PTACC,employment_access,D_location,level,index,0.002,,,,,,,medium,regional public transport accessibility to employment (log-sum index); printed * = NOT significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(RAILSTATION),transit_distance,D_location,log,km,-0.016,,,,,,,medium,"Euclidean distance to next rail station in km, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,AUTOBAHN,highway_distance,D_location,binary,binary,-0.079,,,,,,,medium,Autobahn within 100 m; no SE printed; unmarked = significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,AIRNOISE,noise,E_environment,binary,binary,0.032,,,,,,,medium,daily average aircraft noise above 52 dB; printed * = NOT significant at 0.05,"Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(HOTREST_JOBS),neighbourhood_amenities,F_neighbourhood,log,count,0.014,,,,,,,medium,"jobs in hotel and restaurant industry within 1 km, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(POP_DENS),density,F_neighbourhood,log,per_hectare,-0.028,,,,,,,medium,"inhabitants per hectare, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,FOREIGNERS (logit),demographics,F_neighbourhood,other,share,-0.013,,,,,,,medium,"fraction of foreigners (non NW-Europe/N-America/Australia) in hectare, logit transform; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(TAXLEVEL),public_services,F_neighbourhood,log,index,-0.002,,,,,,,medium,"local income tax level for individuals (index), log; printed * = NOT significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,SLOPE (logit),other,other,other,share,0.007,,,,,,,medium,"terrain slope (25 m raster), logit transform; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(VIEW_LAKE),view,E_environment,log,hectare,0.003,,,,,,,medium,"visibility of lake surface (>1 km2) in hectares, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(VIEW_ALL),view,E_environment,log,hectare,0.017,,,,,,,medium,"total visibility of terrain surface in hectares, log; no SE printed; unmarked = significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c3,4,SARmix,16,Ln(SOLAR_EVE),sunlight,E_environment,log,index,0.006,,,,,,,medium,"evening solar exposure index, log; printed * = NOT significant at 0.05","Ln(RENT), monthly net asking rent in CHF",log,spatial_lag,8592.0,,none,"SARmix (spatial lag with lagged regressors, spdep 'mixed' = spatial Durbin), rho 0.599; no SE; * marks NOT significant at 0.05"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(SQM),living_area,A_structural,log,m2,0.772,,,,,,,medium,"floor area in m2, log; GWR mean of local coefficients; std. dev. across study area = 0.055 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,LIFT,accessibility,B_interior,binary,binary,0.022,,,,,,,medium,building has a lift; GWR mean of local coefficients; std. dev. across study area = 0.017 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,FIREPLACE,fireplace,B_interior,binary,binary,0.096,,,,,,,medium,GWR mean of local coefficients; std. dev. across study area = 0.038 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,BALCONY,terrace_balcony,C_exterior,binary,binary,0.031,,,,,,,medium,one or more balconies; GWR mean of local coefficients; std. dev. across study area = 0.011 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,GTERRACE,terrace_balcony,C_exterior,binary,binary,0.098,,,,,,,medium,garden terrace; GWR mean of local coefficients; std. dev. across study area = 0.073 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,ISHOUSE,dwelling_type,A_structural,binary,binary,0.138,,,,,,,medium,single family house (vs apartment); GWR mean of local coefficients; std. dev. across study area = 0.047 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,BUILTBEF21,age,A_structural,dummy,years,0.091,,,,,,,medium,built before 1921; reference 1931-1980; GWR mean of local coefficients; std. dev. across study area = 0.026 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,BUILT21TO30,age,A_structural,dummy,years,0.084,,,,,,,medium,built 1921-1930; reference 1931-1980; GWR mean of local coefficients; std. dev. across study area = 0.042 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,BUILT81TO90,age,A_structural,dummy,years,0.026,,,,,,,medium,built 1981-1990; reference 1931-1980; GWR mean of local coefficients; std. dev. across study area = 0.024 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,BUILT91TO05,age,A_structural,dummy,years,0.078,,,,,,,medium,built 1991-2005; reference 1931-1980; GWR mean of local coefficients; std. dev. across study area = 0.023 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,CARACC,employment_access,D_location,level,index,0.011,,,,,,,medium,regional car accessibility to employment (log-sum index); GWR mean of local coefficients; std. dev. across study area = 0.098 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,PTACC,employment_access,D_location,level,index,0.039,,,,,,,medium,regional public transport accessibility to employment (log-sum index); GWR mean of local coefficients; std. dev. across study area = 0.034 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(RAILSTATION),transit_distance,D_location,log,km,-0.009,,,,,,,medium,"Euclidean distance to next rail station in km, log; GWR mean of local coefficients; std. dev. across study area = 0.016 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,AUTOBAHN,highway_distance,D_location,binary,binary,-0.071,,,,,,,medium,Autobahn within 100 m; GWR mean of local coefficients; std. dev. across study area = 0.066 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,AIRNOISE,noise,E_environment,binary,binary,-0.014,,,,,,,medium,daily average aircraft noise above 52 dB; GWR mean of local coefficients; std. dev. across study area = 0.032 (not a SE),"Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(HOTREST_JOBS),neighbourhood_amenities,F_neighbourhood,log,count,0.025,,,,,,,medium,"jobs in hotel and restaurant industry within 1 km, log; GWR mean of local coefficients; std. dev. across study area = 0.017 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(POP_DENS),density,F_neighbourhood,log,per_hectare,-0.029,,,,,,,medium,"inhabitants per hectare, log; GWR mean of local coefficients; std. dev. across study area = 0.014 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,FOREIGNERS (logit),demographics,F_neighbourhood,other,share,-0.018,,,,,,,medium,"fraction of foreigners (non NW-Europe/N-America/Australia) in hectare, logit transform; GWR mean of local coefficients; std. dev. across study area = 0.007 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(TAXLEVEL),public_services,F_neighbourhood,log,index,-0.16,,,,,,,medium,"local income tax level for individuals (index), log; GWR mean of local coefficients; std. dev. across study area = 0.268 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,SLOPE (logit),other,other,other,share,0.01,,,,,,,medium,"terrain slope (25 m raster), logit transform; GWR mean of local coefficients; std. dev. across study area = 0.009 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(VIEW_LAKE),view,E_environment,log,hectare,0.008,,,,,,,medium,"visibility of lake surface (>1 km2) in hectares, log; GWR mean of local coefficients; std. dev. across study area = 0.007 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(VIEW_ALL),view,E_environment,log,hectare,0.006,,,,,,,medium,"total visibility of terrain surface in hectares, log; GWR mean of local coefficients; std. dev. across study area = 0.024 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T4-c4,4,GWR,16,Ln(SOLAR_EVE),sunlight,E_environment,log,index,0.024,,,,,,,medium,"evening solar exposure index, log; GWR mean of local coefficients; std. dev. across study area = 0.027 (not a SE)","Ln(RENT), monthly net asking rent in CHF",log,GWR,8592.0,,none,GWR (adaptive kernel): mean of local coefficients; second column is std. dev. across study area (not SE)
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(CARTT_CBD),cbd_distance,D_location,log,minutes,-0.258,,,,***,,,medium,"average car travel time to Zürich CBD in minutes, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,PTACC05,employment_access,D_location,level,index,-0.012,,,,***,,,medium,"regional public transport accessibility to employment (2005 version); stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(RAILSTATION),transit_distance,D_location,log,km,-0.019,,,,***,,,medium,"Euclidean distance to next rail station in km, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,AUTOBAHN,highway_distance,D_location,binary,binary,-0.061,,,,**,,,medium,"Autobahn within 100 m; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,AIRNOISE,noise,E_environment,binary,binary,-0.009,,,,,,,medium,"daily average aircraft noise above 52 dB; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(HOTREST_JOBS),neighbourhood_amenities,F_neighbourhood,log,count,0.0,,,,,,,medium,"jobs in hotel and restaurant industry within 1 km, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(POP_DENS),density,F_neighbourhood,log,per_hectare,-0.093,,,,***,,,medium,"inhabitants per hectare, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,FOREIGNERS (logit),demographics,F_neighbourhood,other,share,-0.087,,,,***,,,medium,"fraction of foreigners (non NW-Europe/N-America/Australia) in hectare, logit transform; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(TAXLEVEL),public_services,F_neighbourhood,log,index,-0.289,,,,***,,,medium,"local income tax level for individuals (index), log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,SLOPE (logit),other,other,other,share,0.018,,,,***,,,medium,"terrain slope (25 m raster), logit transform; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(VIEW_LAKE),view,E_environment,log,hectare,0.015,,,,***,,,medium,"visibility of lake surface (>1 km2) in hectares, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(VIEW_ALL),view,E_environment,log,hectare,0.007,,,,,,,medium,"total visibility of terrain surface in hectares, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c1,6,Model 3,25,Ln(SOLAR_EVE),sunlight,E_environment,log,index,0.071,,,,***,,,medium,"evening solar exposure index, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.235,none,"appendix: spatial variables only, with Ln(CARTT_CBD); stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,CARACC05,employment_access,D_location,level,index,0.064,,,,***,,,medium,"regional car accessibility to employment (2005 version); stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,PTACC05,employment_access,D_location,level,index,-0.004,,,,,,,medium,"regional public transport accessibility to employment (2005 version); stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,Ln(RAILSTATION),transit_distance,D_location,log,km,-0.015,,,,**,,,medium,"Euclidean distance to next rail station in km, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,AUTOBAHN,highway_distance,D_location,binary,binary,-0.064,,,,**,,,medium,"Autobahn within 100 m; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,AIRNOISE,noise,E_environment,binary,binary,-0.053,,,,***,,,medium,"daily average aircraft noise above 52 dB; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,Ln(HOTREST_JOBS),neighbourhood_amenities,F_neighbourhood,log,count,0.02,,,,***,,,medium,"jobs in hotel and restaurant industry within 1 km, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,Ln(POP_DENS),density,F_neighbourhood,log,per_hectare,-0.091,,,,***,,,medium,"inhabitants per hectare, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,FOREIGNERS (logit),demographics,F_neighbourhood,other,share,-0.091,,,,***,,,medium,"fraction of foreigners (non NW-Europe/N-America/Australia) in hectare, logit transform; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,Ln(TAXLEVEL),public_services,F_neighbourhood,log,index,-0.368,,,,***,,,medium,"local income tax level for individuals (index), log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,SLOPE (logit),other,other,other,share,0.027,,,,***,,,medium,"terrain slope (25 m raster), logit transform; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,Ln(VIEW_LAKE),view,E_environment,log,hectare,0.018,,,,***,,,medium,"visibility of lake surface (>1 km2) in hectares, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,Ln(VIEW_ALL),view,E_environment,log,hectare,0.005,,,,,,,medium,"total visibility of terrain surface in hectares, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3,03ae226b461f39ce77988b8e944f5ba8259156d3:T6-c2,6,Model 4,25,Ln(SOLAR_EVE),sunlight,E_environment,log,index,0.056,,,,***,,,medium,"evening solar exposure index, log; stars only, no SE; *** p<0.01, ** p<0.05, * p<0.1","Ln(RENT), monthly net asking rent in CHF",log,OLS,8592.0,0.215,none,"appendix: spatial variables only, with CARACC05; stars only; adj R2"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T2-c1,2,1 (HMA),7,Effect of wood,roof_materials,A_structural,dummy,binary,0.017,0.025,,0.498,,,,high,wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant),ln(transaction price of dwelling),log,OLS,27954.0,0.907,se,"Helsinki metropolitan area (Helsinki+Espoo+Vantaa), 137 postal-code dummies; housing, neighbourhood characteristics and distance to CBD included; apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T2-c2,2,2 (Helsinki),7,Effect of wood,roof_materials,A_structural,dummy,binary,0.085,0.02,,0.0,***,,,high,wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant),ln(transaction price of dwelling),log,OLS,14867.0,0.91,se,"City of Helsinki, 79 postal codes; full controls; apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T2-c3,2,3 (Espoo),7,Effect of wood,roof_materials,A_structural,dummy,binary,0.029,0.037,,0.443,,,,high,wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant),ln(transaction price of dwelling),log,OLS,7422.0,0.891,se,"City of Espoo, 33 postal codes; full controls; apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T2-c4,2,4 (Vantaa),7,Effect of wood,roof_materials,A_structural,dummy,binary,-0.011,0.022,,0.613,,,,high,wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant),ln(transaction price of dwelling),log,OLS,5665.0,0.876,se,"City of Vantaa, 25 postal codes; distance to CBD excluded (multicollinearity); apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T4-c1,4,1 (Helsinki),8,Wood,roof_materials,A_structural,dummy,binary,-0.259,0.079,,,**,,,high,"wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: wood only",ln(transaction price of dwelling),log,OLS,14888.0,0.003,se,"Helsinki only, gradually adding variable groups: wood only; SE clustered by 79 postal codes"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T4-c2,4,2 (Helsinki),8,Wood,roof_materials,A_structural,dummy,binary,-0.167,0.07,,,*,,,high,"wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: wood + age & size",ln(transaction price of dwelling),log,OLS,14888.0,0.574,se,"Helsinki only, gradually adding variable groups: wood + age & size; SE clustered by 79 postal codes"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T4-c3,4,3 (Helsinki),8,Wood,roof_materials,A_structural,dummy,binary,0.043,0.024,,,,,,high,"wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: + housing characteristics + CBD Euclidean distance",ln(transaction price of dwelling),log,OLS,14888.0,0.85,se,"Helsinki only, gradually adding variable groups: + housing characteristics + CBD Euclidean distance; SE clustered by 79 postal codes"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T4-c4,4,4 (Helsinki),8,Wood,roof_materials,A_structural,dummy,binary,0.041,0.02,,,*,,,high,"wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: + neighbourhood characteristics",ln(transaction price of dwelling),log,OLS,14867.0,0.894,se,"Helsinki only, gradually adding variable groups: + neighbourhood characteristics; SE clustered by 79 postal codes"
03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f,03bfeba917085bc65a0ab641e5a03916b687b20f:T4-c5,4,5 (Helsinki),8,Wood,roof_materials,A_structural,dummy,binary,0.085,0.02,,,***,,,high,"wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: + postal codes [79]; identical to Table 2 col 2",ln(transaction price of dwelling),log,OLS,14867.0,0.91,se,"Helsinki only, gradually adding variable groups: + postal codes [79]; identical to Table 2 col 2; SE clustered by 79 postal codes"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,AREA,living_area,A_structural,level,m2,0.006,,,0.0,,,,medium,Area of apartment in square metres; p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,AREA,living_area,A_structural,level,m2,0.006,,,0.0,,,,medium,Area of apartment in square metres; p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,AGE,age,A_structural,level,years,-0.063,,,0.02,,,,medium,Age in years adjusted for major rehabilitation; magnitude per year seems large but recorded as printed; p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,AGE,age,A_structural,level,years,-0.084,,,0.0,,,,medium,Age in years adjusted for major rehabilitation; magnitude per year seems large but recorded as printed; p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,BATH,bathrooms,A_structural,level,count,0.148,,,0.005,,,,medium,p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,BATH,bathrooms,A_structural,level,count,0.128,,,0.002,,,,medium,p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,PENT,dwelling_type,A_structural,binary,binary,0.169,,,0.016,,,,medium,Penthouse; p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,PENT,dwelling_type,A_structural,binary,binary,0.124,,,0.02,,,,medium,Penthouse; p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,HEAT,heating,A_structural,binary,binary,0.112,,,0.029,,,,medium,Central heating; p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,HEAT,heating,A_structural,binary,binary,0.084,,,0.03,,,,medium,Central heating; p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,AIRCON,air_conditioning,A_structural,binary,binary,0.141,,,0.001,,,,medium,p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,AIRCON,air_conditioning,A_structural,binary,binary,0.109,,,0.0,,,,medium,p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,ELEV,accessibility,B_interior,binary,binary,0.369,,,0.0,,,,medium,Elevator; p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,ELEV,accessibility,B_interior,binary,binary,0.295,,,0.0,,,,medium,Elevator; p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-OLS,2,OLS,14,FURNISH,other,other,binary,binary,0.124,,,0.003,,,,medium,Furnished apartment; p-value in parentheses (0.000 = <0.0005); no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,OLS,296.0,,p,Structural characteristics only; cross-validation R2 0.596 (not in-sample)
03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee,03c7319d6d03a3326e49bd775951ee9918110cee:T2-RK,2,RK,14,FURNISH,other,other,binary,binary,0.113,,,0.0,,,,medium,Furnished apartment; p-value in parentheses; no SE or t printed,"log(PRICE) (asking price, thousand EUR)",log,other,296.0,,p,"Regression-kriging (GLS regression + kriging of residuals, spherical variogram); cross-validation R2 0.733"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,log(Median Household Income),income,F_neighbourhood,log,currency,0.041,0.019,,,**,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Frac Black,demographics,F_neighbourhood,level,share,-0.12,0.08,,,,,,high,Share Black residents,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Frac Hispanic,demographics,F_neighbourhood,level,share,-0.166,0.057,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Frac Asian,demographics,F_neighbourhood,level,share,-0.069,0.088,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2005,school_quality,F_neighbourhood,level,index,-0.156,0.027,,,***,,,high,"Standardized school test score, Illinois, year 2005 interaction",log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2006,school_quality,F_neighbourhood,level,index,-0.175,0.027,,,***,,,high,year 2006 interaction,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2007,school_quality,F_neighbourhood,level,index,-0.143,0.027,,,***,,,high,year 2007 interaction,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2008,school_quality,F_neighbourhood,level,index,0.025,0.028,,,,,,high,year 2008 interaction,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2009,school_quality,F_neighbourhood,level,index,0.128,0.027,,,***,,,high,year 2009 interaction,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2010,school_quality,F_neighbourhood,level,index,0.114,0.027,,,***,,,high,year 2010 interaction,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2011,school_quality,F_neighbourhood,level,index,0.081,0.026,,,***,,,high,year 2011 interaction,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Average Test Score (IL) x2012,school_quality,F_neighbourhood,level,index,0.077,0.027,,,***,,,high,year 2012 interaction,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Share of Schools with B,school_quality,F_neighbourhood,level,share,0.018,0.061,,,,,,high,Indiana school grades (ref. A),log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Share of Schools with C,school_quality,F_neighbourhood,level,share,-0.205,0.053,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Share of Schools with D,school_quality,F_neighbourhood,level,share,-0.111,0.061,,,*,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Share of Schools with F,school_quality,F_neighbourhood,level,share,-0.104,0.145,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Median Test Score (WI),school_quality,F_neighbourhood,level,index,-0.045,1.22,,,,,,high,Wisconsin,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Median Year Structure Built,age,A_structural,level,years,0.004,0.001,,,***,,,high,Median year built (higher = newer),log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,Median Number of Rooms,bedrooms,A_structural,level,count,0.032,0.01,,,***,,,high,Median rooms in block group,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T2-c1,2,1,44,log(Offenses Per Capita),crime,F_neighbourhood,log,rate,-0.376,0.686,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.793,se,block group x year; year-specific test-score coefficients
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,log(Median Household Income),income,F_neighbourhood,log,currency,0.044,0.022,,,**,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Frac. Black,demographics,F_neighbourhood,level,share,-0.16,0.09,,,*,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Frac. Hispanic,demographics,F_neighbourhood,level,share,-0.201,0.06,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Frac. Asian,demographics,F_neighbourhood,level,share,0.032,0.09,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Mean Test Score (IL),school_quality,F_neighbourhood,level,index,-0.03,0.006,,,***,,,high,Illinois standardized test score,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Share of Schools with B (IN),school_quality,F_neighbourhood,level,share,0.015,0.06,,,,,,high,Indiana school grades (ref. A),log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Share of Schools with C (IN),school_quality,F_neighbourhood,level,share,-0.201,0.053,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Share of Schools with D (IN),school_quality,F_neighbourhood,level,share,-0.108,0.061,,,*,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Share of Schools with F (IN),school_quality,F_neighbourhood,level,share,-0.093,0.144,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Median Test Score (WI),school_quality,F_neighbourhood,level,index,-0.027,1.219,,,,,,high,Wisconsin,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Median Year Structure Built,age,A_structural,level,years,0.004,0.001,,,***,,,high,Median year built (higher = newer),log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,Median Number of Rooms,bedrooms,A_structural,level,count,0.05,0.012,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c1,3,1,45,log(Offenses per Capita),crime,F_neighbourhood,log,rate,-5.474,0.695,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.772,se,block group x year; amenities only
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,log(Median Household Income),income,F_neighbourhood,log,currency,0.001,0.019,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Frac. Black,demographics,F_neighbourhood,level,share,-0.118,0.085,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Frac. Hispanic,demographics,F_neighbourhood,level,share,-0.23,0.058,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Frac. Asian,demographics,F_neighbourhood,level,share,-0.363,0.095,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Mean Test Score (IL),school_quality,F_neighbourhood,level,index,0.016,0.006,,,***,,,high,Illinois standardized test score,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Share of Schools with B (IN),school_quality,F_neighbourhood,level,share,0.004,0.063,,,,,,high,Indiana school grades (ref. A),log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Share of Schools with C (IN),school_quality,F_neighbourhood,level,share,-0.265,0.058,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Share of Schools with D (IN),school_quality,F_neighbourhood,level,share,-0.061,0.067,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Share of Schools with F (IN),school_quality,F_neighbourhood,level,share,0.141,0.133,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Median Test Score (WI),school_quality,F_neighbourhood,level,index,-0.557,1.239,,,,,,high,Wisconsin,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Median Year Structure Built,age,A_structural,level,years,0.002,0.001,,,***,,,high,Median year built (higher = newer),log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,Median Number of Rooms,bedrooms,A_structural,level,count,0.002,0.011,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c2,3,2,45,log(Offenses per Capita),crime,F_neighbourhood,log,rate,-3.338,0.664,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.788,se,adds Trading Opportunities r and E(V) controls
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,log(Median Household Income),income,F_neighbourhood,log,currency,0.005,0.015,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Frac. Black,demographics,F_neighbourhood,level,share,-0.106,0.057,,,*,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Frac. Hispanic,demographics,F_neighbourhood,level,share,-0.081,0.042,,,*,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Frac. Asian,demographics,F_neighbourhood,level,share,-0.18,0.066,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Mean Test Score (IL),school_quality,F_neighbourhood,level,index,0.004,0.005,,,,,,high,Illinois standardized test score,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Share of Schools with B (IN),school_quality,F_neighbourhood,level,share,0.006,0.051,,,,,,high,Indiana school grades (ref. A),log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Share of Schools with C (IN),school_quality,F_neighbourhood,level,share,-0.161,0.045,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Share of Schools with D (IN),school_quality,F_neighbourhood,level,share,-0.056,0.055,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Share of Schools with F (IN),school_quality,F_neighbourhood,level,share,-0.039,0.124,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Median Test Score (WI),school_quality,F_neighbourhood,level,index,-0.175,1.047,,,,,,high,Wisconsin,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Median Year Structure Built,age,A_structural,level,years,0.001,0.001,,,,,,high,Median year built (higher = newer),log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,Median Number of Rooms,bedrooms,A_structural,level,count,0.011,0.008,,,,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6,05133875334147dc5ac7d37a0479720642327db6:T3-c3,3,3,45,log(Offenses per Capita),crime,F_neighbourhood,log,rate,-2.329,0.549,,,***,,,high,,log(Transaction Price_jt),log,OLS,37564.0,0.844,se,"adds credit-friction interactions and log balance, approval rate, interest cost controls"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,CONDITION,condition,A_structural,level,"ordinal (0 = bad, 1 = average, 3 = good)",0.0991,0.0149,,,***,,,high,condition of dwelling,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,CONDITION,condition,A_structural,level,"ordinal (0 = bad, 1 = average, 3 = good)",0.12,0.0181,,,***,,,high,condition of dwelling,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,CONDITION,condition,A_structural,level,"ordinal (0 = bad, 1 = average, 3 = good)",0.075,0.0236,,,**,,,high,condition of dwelling,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,CONDITION,condition,A_structural,level,"ordinal (0 = bad, 1 = average, 3 = good)",0.05,0.0187,,,**,,,high,condition of dwelling,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,CONDITION,condition,A_structural,level,"ordinal (0 = bad, 1 = average, 3 = good)",0.136,0.0187,,,***,,,high,condition of dwelling,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,CONDITION,condition,A_structural,level,"ordinal (0 = bad, 1 = average, 3 = good)",0.0541,0.018,,,**,,,high,condition of dwelling,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,CONDITION,condition,A_structural,level,"ordinal (0 = bad, 1 = average, 3 = good)",0.0758,0.0011,,,***,,,high,condition of dwelling,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,ELEVATOR,accessibility,B_interior,binary,binary,0.0695,0.0401,,,,,,high,,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,ELEVATOR,accessibility,B_interior,binary,binary,0.0079,0.0422,,,,,,high,,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,ELEVATOR,accessibility,B_interior,binary,binary,0.1287,0.1104,,,,,,high,,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,ELEVATOR,accessibility,B_interior,binary,binary,0.0161,0.0446,,,,,,high,,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,ELEVATOR,accessibility,B_interior,binary,binary,-0.1336,0.0492,,,**,,,high,,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,ELEVATOR,accessibility,B_interior,binary,binary,-0.0249,0.0436,,,,,,high,,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,ELEVATOR,accessibility,B_interior,binary,binary,0.0253,0.0256,,,,,,high,,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,ROOMS,bedrooms,A_structural,level,count (rooms excl. kitchen),-0.2708,0.0161,,,***,,,medium,number of rooms excluding kitchen; dependent variable is price per m2; SE printed without brackets,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,ROOMS,bedrooms,A_structural,level,count (rooms excl. kitchen),-0.2565,0.0189,,,***,,,high,number of rooms excluding kitchen; dependent variable is price per m2,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,ROOMS,bedrooms,A_structural,level,count (rooms excl. kitchen),-0.2929,0.025,,,***,,,high,number of rooms excluding kitchen; dependent variable is price per m2,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,ROOMS,bedrooms,A_structural,level,count (rooms excl. kitchen),-0.2427,0.0216,,,*,,,high,number of rooms excluding kitchen; dependent variable is price per m2,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,ROOMS,bedrooms,A_structural,level,count (rooms excl. kitchen),-0.091,0.0019,,,***,,,high,number of rooms excluding kitchen; dependent variable is price per m2,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,ROOMS,bedrooms,A_structural,level,count (rooms excl. kitchen),-0.2384,0.0187,,,***,,,high,number of rooms excluding kitchen; dependent variable is price per m2,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,ROOMS,bedrooms,A_structural,level,count (rooms excl. kitchen),-0.2798,0.0157,,,***,,,high,number of rooms excluding kitchen; dependent variable is price per m2,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,FLOOR,floor_level,A_structural,level,share (floor number / total number of floors),-0.0617,0.05654,,,,,,high,relative floor position,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,FLOOR,floor_level,A_structural,level,share (floor number / total number of floors),0.1484,0.0633,,,*,,,high,relative floor position,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,FLOOR,floor_level,A_structural,level,share (floor number / total number of floors),0.0852,0.0709,,,,,,high,relative floor position,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,FLOOR,floor_level,A_structural,level,share (floor number / total number of floors),0.0438,0.0657,,,,,,high,relative floor position,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,FLOOR,floor_level,A_structural,level,share (floor number / total number of floors),0.2984,0.0074,,,***,,,high,relative floor position,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,FLOOR,floor_level,A_structural,level,share (floor number / total number of floors),-0.0107,0.0675,,,,,,high,relative floor position,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,FLOOR,floor_level,A_structural,level,share (floor number / total number of floors),0.1189,0.0399,,,**,,,high,relative floor position,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,SEA,water_proximity,E_environment,level,m,-0.00031,0.00075,,,,,,high,distance to the sea coast,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,SEA,water_proximity,E_environment,level,m,-0.0007,0.00019,,,***,,,high,distance to the sea coast,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,SEA,water_proximity,E_environment,level,m,0.0017,0.005519,,,**,,,medium,distance to the sea coast; SE printed '(0.005519' (bracket missing),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,SEA,water_proximity,E_environment,level,m,-0.00019,0.00021,,,,,,high,distance to the sea coast,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,SEA,water_proximity,E_environment,level,m,-0.00076,0.00019,,,***,,,high,distance to the sea coast,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,SEA,water_proximity,E_environment,level,m,-0.0003,0.0001,,,**,,,medium,distance to the sea coast; SE printed '(–0.00010)' with a minus sign,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,SEA,water_proximity,E_environment,level,m,4.677e-05,8.573e-05,,,,,,high,distance to the sea coast,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,CBD,cbd_distance,D_location,level,m,0.00051,0.00069,,,,,,high,distance to city centre (railway station),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,CBD,cbd_distance,D_location,level,m,0.000132,0.000629,,,*,,,high,distance to city centre (railway station),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,CBD,cbd_distance,D_location,level,m,-0.0016,0.0005349,,,**,,,high,distance to city centre (railway station),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,CBD,cbd_distance,D_location,level,m,0.00023,0.0002,,,,,,high,distance to city centre (railway station),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,CBD,cbd_distance,D_location,level,m,0.00017,6.175e-05,,,**,,,high,distance to city centre (railway station),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,CBD,cbd_distance,D_location,level,m,0.0001,9.64e-05,,,,,,high,distance to city centre (railway station),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,CBD,cbd_distance,D_location,level,m,-0.0002,7.082e-05,,,**,,,high,distance to city centre (railway station),"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,GREEN,green_space,E_environment,level,m,0.00049,0.00012,,,***,,,high,distance to parks or green areas,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,GREEN,green_space,E_environment,level,m,-0.000495,0.000185,,,**,,,high,distance to parks or green areas,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,GREEN,green_space,E_environment,level,m,1.089e-06,0.0006365,,,,,,medium,distance to parks or green areas; printed '1.089e–6 (0.6365e–3)',"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,GREEN,green_space,E_environment,level,m,4e-05,0.00016,,,,,,high,distance to parks or green areas,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,GREEN,green_space,E_environment,level,m,-0.00018,0.00023,,,,,,high,distance to parks or green areas,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,GREEN,green_space,E_environment,level,m,7.77e-05,0.0001,,,,,,high,distance to parks or green areas,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,GREEN,green_space,E_environment,level,m,-5.349e-05,0.00015,,,,,,high,distance to parks or green areas,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,TREAT,other,other,dummy,binary (treatment neighbourhood with infill development vs control),0.2943,0.1074,,,**,,,high,DiD treatment-group indicator,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,TREAT,other,other,dummy,binary (treatment neighbourhood with infill development vs control),0.1873,0.1094,,,,,,high,DiD treatment-group indicator,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,TREAT,other,other,dummy,binary (treatment neighbourhood with infill development vs control),0.7863,0.3022,,,*,,,high,DiD treatment-group indicator,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,TREAT,other,other,dummy,binary (treatment neighbourhood with infill development vs control),-0.0244,0.1102,,,,,,high,DiD treatment-group indicator,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,TREAT,other,other,dummy,binary (treatment neighbourhood with infill development vs control),0.201,0.1,,,*,,,high,DiD treatment-group indicator,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,TREAT,other,other,dummy,binary (treatment neighbourhood with infill development vs control),-0.7073,0.2201,,,**,,,high,DiD treatment-group indicator,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,TREAT,other,other,dummy,binary (treatment neighbourhood with infill development vs control),0.4244,0.1981,,,*,,,high,DiD treatment-group indicator,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case1,4,Case 1,7,TREAT*AFTER,other,other,other,binary interaction (treatment x after infill development),-0.0953,0.0692,,,,,,high,DiD interaction: effect of infill development on existing apartment prices,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,328.0,0.6885,se,"Case 1 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case2,4,Case 2,7,TREAT*AFTER,other,other,other,binary interaction (treatment x after infill development),-0.0298,0.0905,,,,,,high,DiD interaction: effect of infill development on existing apartment prices,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,512.0,0.6012,se,"Case 2 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case3,4,Case 3,7,TREAT*AFTER,other,other,other,binary interaction (treatment x after infill development),0.0641,0.0852,,,,,,high,DiD interaction: effect of infill development on existing apartment prices,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,256.0,0.7302,se,"Case 3 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case4,4,Case 4,7,TREAT*AFTER,other,other,other,binary interaction (treatment x after infill development),-0.1545,0.0857,,,,,,high,DiD interaction: effect of infill development on existing apartment prices,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,309.0,0.7499,se,"Case 4 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case5,4,Case 5,7,TREAT*AFTER,other,other,other,binary interaction (treatment x after infill development),-0.2703,0.1018,,,**,,,high,DiD interaction: effect of infill development on existing apartment prices,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,528.0,0.7855,se,"Case 5 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case6,4,Case 6,7,TREAT*AFTER,other,other,other,binary interaction (treatment x after infill development),0.1426,0.131,,,,,,high,DiD interaction: effect of infill development on existing apartment prices,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,446.0,0.664,se,"Case 6 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056,07441798ac5873fe53746864fd3cf3231a87b056:T4-case7,4,Case 7,7,TREAT*AFTER,other,other,other,binary interaction (treatment x after infill development),-0.1597,0.077,,,*,,,high,DiD interaction: effect of infill development on existing apartment prices,"sale price (thousand EUR) per m2, CPI-deflated 2012",per_m2,OLS,363.0,0.8112,se,"Case 7 neighbourhood and its reference neighbourhood, before/after infill development; DiD specification; n = sum of Table 3 group counts; multiple R2"
0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319:EQ2-c1,Equation 2,1,11,Landvalue,other,other,level,"currency (estimated land value, AUD)",1.4,,,,,,,medium,"Estimated land value of the parcel (AUD); coefficient read from Equation (2), no SE/t/p printed","Sale price (AUD, level)",level,OLS,4210.0,0.3694,none,"Stepwise multiple regression, all Bathurst sales; adjusted R2 0.3694 from Table 2; N inferred"
0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319:EQ2-c1,Equation 2,1,11,Yearsold,transaction_timing,G_market,level,years (calendar year of sale),5491.0,,,,,,,medium,"Year of sale as a linear trend; coefficient read from Equation (2), no SE/t/p printed","Sale price (AUD, level)",level,OLS,4210.0,0.3694,none,"Stepwise multiple regression, all Bathurst sales; adjusted R2 0.3694 from Table 2; N inferred"
0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319:EQ2-c1,Equation 2,1,11,Dcity,cbd_distance,D_location,level,"m (distance to CBD; unit not printed, metres implied)",7491.0,,,,,,,medium,"Positive sign as printed; coefficient read from Equation (2), no SE/t/p printed","Sale price (AUD, level)",level,OLS,4210.0,0.3694,none,"Stepwise multiple regression, all Bathurst sales; adjusted R2 0.3694 from Table 2; N inferred"
0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319:EQ2-c1,Equation 2,1,11,Dculd,other,other,level,m (distance to cul-de-sac; unit not printed),-6305.0,,,,,,,medium,"Distance to the nearest cul-de-sac; coefficient read from Equation (2), no SE/t/p printed","Sale price (AUD, level)",level,OLS,4210.0,0.3694,none,"Stepwise multiple regression, all Bathurst sales; adjusted R2 0.3694 from Table 2; N inferred"
0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319:EQ2-c1,Equation 2,1,11,Slope,other,other,level,degrees (slope of parcel centroid),1613.0,,,,,,,medium,"Topographic slope (Slope_deg); coefficient read from Equation (2), no SE/t/p printed","Sale price (AUD, level)",level,OLS,4210.0,0.3694,none,"Stepwise multiple regression, all Bathurst sales; adjusted R2 0.3694 from Table 2; N inferred"
0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319,0795e1f2569ab3c9b87c0451960aa54739093319:EQ2-c1,Equation 2,1,11,Dpark,green_space,E_environment,level,m (distance to closest park; unit not printed),-23052.0,,,,,,,medium,"Negative sign as printed; coefficient read from Equation (2), no SE/t/p printed","Sale price (AUD, level)",level,OLS,4210.0,0.3694,none,"Stepwise multiple regression, all Bathurst sales; adjusted R2 0.3694 from Table 2; N inferred"
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,TENURE,other,other,binary,binary,0.022,0.029,0.745,0.456,,,,high,Printed name TENURE; freehold (1) vs leasehold (0),LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,NUMBER OF ROOMS,bedrooms,A_structural,level,count,-0.003,0.014,-0.197,0.844,,,,high,"Number of rooms (bedrooms per data description, range 1-5)",LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,HILLVIEW,view,E_environment,binary,binary,-0.056,0.026,-2.131,0.033,,,,high,Hill view dummy (reference: town view),LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,SEAVIEW,view,E_environment,binary,binary,0.155,0.023,6.651,0.0,,,,high,Sea view dummy (reference: town view),LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,FACILITIES,recreation_private,C_exterior,binary,binary,-0.167,0.02,-8.374,0.0,,,,high,Full facilities vs semi-facilities of the scheme,LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,SECURITY,other,other,binary,binary,0.176,0.039,4.529,0.0,,,,high,Printed name SECURITY; double gated vs single gated,LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,OCCUPANCY,vacancy,F_neighbourhood,binary,binary,-0.077,0.018,-4.304,0.0,,,,high,Occupancy rate above 75% = 1 (inverse of vacancy),LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,DEVELOPER,other,other,binary,binary,0.18,0.017,10.535,0.0,,,,high,Printed name DEVELOPER; top-30 ranked developer = 1,LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,GREEN -GBI,energy_efficiency,A_structural,binary,binary,0.065,0.033,1.987,0.047,,,,high,Green Building Index certified condominium = 1,LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,LOGSIZE,living_area,A_structural,log,m2,-0.08,0.02,-3.979,0.0,,,,high,Log of floor area in square metres; dependent variable is per m2 so coefficient is elasticity of unit price,LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,LOGLEVEL,floor_level,A_structural,log,count,0.016,0.01,1.564,0.118,,,,high,Log of floor level of unit,LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d,0893ce95f4ec80e891e9cf83dfb029d633e4a22d:T5-c1,5,1,8,LOGAGE,age,A_structural,log,years,0.007,0.019,0.393,0.694,,,,high,Log of age of building (years),LOGPRICE PSM (log of price per square metre),per_m2,OLS,934.0,0.36,se,All 934 condominium resale transactions 2016-2020; dep var is log of price per m2 (log + per_m2)
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,DIS,cbd_distance,D_location,level,km,-0.059,,,0.0,***,,,high,"Distance from project to city centre (HCMC post office), km",Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,DIS,cbd_distance,D_location,level,km,-0.065,,,0.0,***,,,high,"Distance from project to city centre (HCMC post office), km",Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,FLO,floor_level,A_structural,level,count,0.047,,,0.0,***,,,high,Floor of the apartment,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,FLO,floor_level,A_structural,level,count,0.031,,,0.0,***,,,high,Floor of the apartment,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,TIME-USED,age,A_structural,level,years,0.012,,,0.311,,,,high,Years the apartment has been used,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,TIME-USED,age,A_structural,level,years,0.015,,,0.162,,,,high,Years the apartment has been used,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,RE-PRICE,other,other,level,currency,0.565,,,0.0,***,,,high,Reference price (billion VND); market variable,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,RE-PRICE,other,other,level,currency,0.464,,,0.0,***,,,high,Reference price (billion VND); market variable,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,FUR,luxury_finishes,B_interior,binary,binary,0.324,,,0.0,***,,,high,"Interior: 1 high-end, 0 budget",Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,FUR,luxury_finishes,B_interior,binary,binary,0.324,,,0.0,***,,,high,"Interior: 1 high-end, 0 budget",Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,VIEW,view,E_environment,binary,binary,0.056,,,0.397,,,,high,1 = river/lake/park view,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,VIEW,view,E_environment,binary,binary,0.045,,,0.443,,,,high,1 = river/lake/park view,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,IN-ENVI,recreation_private,C_exterior,binary,binary,-0.011,,,0.875,,,,high,"1 = project has gym, swimming pool, supermarket",Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,IN-ENVI,recreation_private,C_exterior,binary,binary,-0.02,,,0.759,,,,high,"1 = project has gym, swimming pool, supermarket",Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,INVEST,other,other,binary,binary,0.009,,,0.899,,,,high,Investor reputation: 1 = at least 2 projects,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,INVEST,other,other,binary,binary,0.027,,,0.666,,,,high,Investor reputation: 1 = at least 2 projects,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,LEG,other,other,binary,binary,0.009,,,0.897,,,,high,Legal status: 1 = has pink book,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,LEG,other,other,binary,binary,-0.071,,,0.281,,,,high,Legal status: 1 = has pink book,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,ULSTRUCTURE,other,other,binary,binary,-0.145,,,0.044,**,,,high,Planned supermarket/school/administrative works nearby next year,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,ULSTRUCTURE,other,other,binary,binary,-0.167,,,0.009,***,,,high,Planned supermarket/school/administrative works nearby next year,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,TREND,other,other,binary,binary,-0.083,,,0.133,,,,high,Expected price trend: 1 = uptrend; market expectation variable,Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,TREND,other,other,binary,binary,-0.091,,,0.065,*,,,high,Expected price trend: 1 = uptrend; market expectation variable,Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c1,4,Model 1,6,WCBR,bedrooms,A_structural,level,count,0.379,,,0.0,***,,,high,Combined number of toilets and bedrooms (Model 1 only),Total apartment value (billion VND),level,OLS,339.0,0.829,p,"Model 1: with WCBR, without SQUA"
0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321,0a4917c7f444817b4974629ac2f7d58ef2f99321:T4-c2,4,Model 2,6,SQUA,living_area,A_structural,level,m2,0.016,,,0.0,***,,,high,Apartment area m2 (Model 2 only),Total apartment value (billion VND),level,OLS,339.0,0.863,p,"Model 2: with SQUA, without WCBR"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Distance,hazard_site,E_environment,level,other,200.2874,,0.871,,,,,medium,"Straight-line distance from the landfill in 240-ft city blocks (unit ambiguous: 'blocks' in equation, 'feet' grouped into 240-ft blocks in variable definitions); positive = price rises away from landfill","sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Lot Size,lot_size,A_structural,level,sqft,0.5924,,1.654,,,,,high,Lot size in square feet,"sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,House Size,living_area,A_structural,level,sqft,5.906,,2.783,,,,,high,Interior space in square feet,"sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Age,age,A_structural,level,years,-136.873,,-3.317,,,,,high,"Age of house at sale, years","sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Bedroom,bedrooms,A_structural,level,count,888.9424,,1.145,,,,,high,Number of bedrooms,"sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Bathroom,bathrooms,A_structural,level,count,7131.2993,,5.226,,,,,high,Number of bathrooms,"sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Height,storeys,A_structural,level,count,8029.9949,,0.991,,,,,high,Height of house in stories,"sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Basement,basement,A_structural,binary,binary,164.1152,,0.137,,,,,high,Basement dummy,"sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c1,XI,1,98,Garage,garage,A_structural,binary,binary,1179.4304,,1.272,,,,,high,Garage dummy,"sale price of home, 1972 constant dollars (USD)",level,OLS,56.0,0.8779,t,"Homes sold in 1971 (Before) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Distance,hazard_site,E_environment,level,other,675.8605,,2.323,,,,,medium,"Straight-line distance from the landfill in 240-ft city blocks (unit ambiguous: 'blocks' in equation, 'feet' grouped into 240-ft blocks in variable definitions); positive = price rises away from landfill","sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Lot Size,lot_size,A_structural,level,sqft,0.8929,,1.814,,,,,high,Lot size in square feet,"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,House Size,living_area,A_structural,level,sqft,14.6419,,3.709,,,,,high,Interior space in square feet,"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Age,age,A_structural,level,years,-281.8343,,-5.134,,,,,medium,"Age of house at sale, years; value read through OCR spacing","sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Bedroom,bedrooms,A_structural,level,count,-2906.6269,,-2.071,,,,,high,Number of bedrooms,"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Bathroom,bathrooms,A_structural,level,count,3454.0527,,1.541,,,,,high,Number of bathrooms,"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Height,storeys,A_structural,level,count,12426.0,,2.01,,,,,high,Height of house in stories,"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Basement,basement,A_structural,binary,binary,4770.998,,2.616,,,,,high,Basement dummy,"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Fireplace,fireplace,B_interior,binary,binary,1091.5975,,0.561,,,,,high,Fireplace dummy (no fireplaces among 1971 sales),"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c2,XI,2,98,Garage,garage,A_structural,binary,binary,2484.6345,,1.224,,,,,high,Garage dummy,"sale price of home, 1972 constant dollars (USD)",level,OLS,79.0,0.7281,t,"Homes sold in 1979 (During) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Distance,hazard_site,E_environment,level,other,-165.0572,,-0.606,,,,,medium,"Straight-line distance from the landfill in 240-ft city blocks (unit ambiguous: 'blocks' in equation, 'feet' grouped into 240-ft blocks in variable definitions); positive = price rises away from landfill","sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Lot Size,lot_size,A_structural,level,sqft,0.2752,,0.572,,,,,high,Lot size in square feet,"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,House Size,living_area,A_structural,level,sqft,16.2432,,4.04,,,,,high,Interior space in square feet,"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Age,age,A_structural,level,years,-150.0718,,-3.298,,,,,high,"Age of house at sale, years","sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Bedroom,bedrooms,A_structural,level,count,620.9696,,0.495,,,,,high,Number of bedrooms,"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Bathroom,bathrooms,A_structural,level,count,4395.0062,,2.262,,,,,high,Number of bathrooms,"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Height,storeys,A_structural,level,count,-5098.5247,,-0.752,,,,,high,Height of house in stories,"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Basement,basement,A_structural,binary,binary,4885.4162,,3.05,,,,,high,Basement dummy,"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Fireplace,fireplace,B_interior,binary,binary,1053.9359,,0.597,,,,,high,Fireplace dummy (no fireplaces among 1971 sales),"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc,0a56ff9c5aeeb80c811f28d082785dd37d837fcc:TXI-c3,XI,3,98,Garage,garage,A_structural,binary,binary,7811.6183,,4.205,,,,,high,Garage dummy,"sale price of home, 1972 constant dollars (USD)",level,OLS,76.0,0.764,t,"Homes sold in 1986 (After) the Lavele landfill operation, within about 0.5 mile of the site"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Green (<500m),green_space,E_environment,binary,binary,0.006,0.014,,,,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Green (<500m),green_space,E_environment,binary,binary,0.075,0.007,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Green (<500m),green_space,E_environment,binary,binary,0.021,0.023,,,,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Green (<500m),green_space,E_environment,binary,binary,0.085,0.014,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Transport stop (<500m),transit_distance,D_location,binary,binary,0.245,0.041,,,***,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Transport stop (<500m),transit_distance,D_location,binary,binary,0.11,0.041,,,***,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Transport stop (<500m),transit_distance,D_location,binary,binary,-1.028,0.233,,,***,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Transport stop (<500m),transit_distance,D_location,binary,binary,0.05,0.079,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Distance train station (>1km),transit_distance,D_location,binary,binary,0.01,0.02,,,,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Distance train station (>1km),transit_distance,D_location,binary,binary,-0.093,0.019,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Distance train station (>1km),transit_distance,D_location,binary,binary,0.02,0.024,,,,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Distance train station (>1km),transit_distance,D_location,binary,binary,-0.155,0.037,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Car park,parking,A_structural,binary,binary,0.077,0.027,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Car park,parking,A_structural,binary,binary,0.186,0.026,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Car park,parking,A_structural,binary,binary,0.135,0.048,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Car park,parking,A_structural,binary,binary,0.159,0.044,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Commercial,commercial_distance,D_location,binary,binary,0.344,0.037,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Commercial,commercial_distance,D_location,binary,binary,0.374,0.084,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Commercial,commercial_distance,D_location,binary,binary,0.3,0.057,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Commercial,commercial_distance,D_location,binary,binary,0.406,0.028,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,View river/mountains,view,E_environment,binary,binary,0.144,0.021,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,View river/mountains,view,E_environment,binary,binary,0.131,0.012,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,View river/mountains,view,E_environment,binary,binary,0.117,0.031,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,View river/mountains,view,E_environment,binary,binary,0.188,0.027,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Number of baths+,bathrooms,A_structural,log,count,0.449,0.036,,,***,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Number of baths+,bathrooms,A_structural,log,count,0.11,0.016,,,***,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Number of baths+,bathrooms,A_structural,log,count,0.386,0.069,,,***,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Number of baths+,bathrooms,A_structural,log,count,0.06,0.028,,,**,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Economic building,condition,A_structural,binary,binary,-0.277,0.028,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Economic building,condition,A_structural,binary,binary,-0.327,0.009,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Economic building,condition,A_structural,binary,binary,-0.364,0.051,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Economic building,condition,A_structural,binary,binary,-0.389,0.016,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Historical building,other,other,binary,binary,0.35,0.023,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Historical building,other,other,binary,binary,0.31,0.021,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Historical building,other,other,binary,binary,0.356,0.032,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Historical building,other,other,binary,binary,0.231,0.031,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Age+,age,A_structural,log,years,-0.047,0.015,,,***,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Age+,age,A_structural,log,years,-0.016,0.008,,,**,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Age+,age,A_structural,log,years,-0.064,0.02,,,***,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Age+,age,A_structural,log,years,0.01,0.017,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Total surface+,living_area,A_structural,log,m2,1.028,0.029,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Total surface+,living_area,A_structural,log,m2,0.961,0.014,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Total surface+,living_area,A_structural,log,m2,1.093,0.04,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Total surface+,living_area,A_structural,log,m2,0.948,0.026,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Floor level+,floor_level,A_structural,log,count,-0.011,0.01,,,,,,high,Log of floor level (1-9),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Floor level+,floor_level,A_structural,log,count,0.02,0.005,,,***,,,high,Log of floor level (1-9),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Floor level+,floor_level,A_structural,log,count,0.001,0.014,,,,,,high,Log of floor level (1-9),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Floor level+,floor_level,A_structural,log,count,0.024,0.011,,,**,,,high,Log of floor level (1-9),"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Movida 50 (#),noise,E_environment,level,count,-0.008,0.012,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Movida 50 (#),noise,E_environment,level,count,0.0,0.006,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Movida 50 (#),noise,E_environment,level,count,0.021,0.023,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Movida 50 (#),noise,E_environment,level,count,0.008,0.013,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Movida_51-75 (#),noise,E_environment,level,count,0.008,0.019,,,,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Movida_51-75 (#),noise,E_environment,level,count,-0.002,0.005,,,,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Movida_51-75 (#),noise,E_environment,level,count,-0.039,0.021,,,*,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Movida_51-75 (#),noise,E_environment,level,count,-0.025,0.013,,,*,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c1,3,1,34,Movida 76-100 (#),noise,E_environment,level,count,-0.0,0.013,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample (Turin, 2017-2018); coefficients for dwellings < 1 year on the market in a fully interacted specification; month-year and urban macro-area fixed effects; two-way clustered SE"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c2,3,2,34,Movida 76-100 (#),noise,E_environment,level,count,0.002,0.005,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,6861.0,0.865,se,"Full sample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 1)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c3,3,3,34,Movida 76-100 (#),noise,E_environment,level,count,0.006,0.011,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,Central subsample (OMI central districts); coefficients for dwellings < 1 year on the market (fully interacted specification)
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T3-c4,3,4,34,Movida 76-100 (#),noise,E_environment,level,count,0.008,0.011,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,OLS,1788.0,0.873,se,"Central subsample; coefficients for dwellings >= 1 year on the market (fully interacted specification, same regression as column 3)"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Green (<500m),green_space,E_environment,binary,binary,0.108,0.027,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Green (<500m),green_space,E_environment,binary,binary,0.118,0.023,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Green (<500m),green_space,E_environment,binary,binary,0.116,0.024,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Green (<500m),green_space,E_environment,binary,binary,0.105,0.021,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Green (<500m),green_space,E_environment,binary,binary,0.115,0.021,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Green (<500m),green_space,E_environment,binary,binary,0.099,0.021,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Green (<500m),green_space,E_environment,binary,binary,0.086,0.021,,,***,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Green (<500m),green_space,E_environment,binary,binary,0.044,0.025,,,*,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Green (<500m),green_space,E_environment,binary,binary,0.055,0.03,,,*,,,high,Dummy = 1 if a green area lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Transport (<500m),transit_distance,D_location,binary,binary,0.381,0.203,,,*,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Transport (<500m),transit_distance,D_location,binary,binary,0.103,0.167,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Transport (<500m),transit_distance,D_location,binary,binary,0.109,0.16,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Transport (<500m),transit_distance,D_location,binary,binary,-0.08,0.15,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Transport (<500m),transit_distance,D_location,binary,binary,-0.057,0.125,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Transport (<500m),transit_distance,D_location,binary,binary,-0.037,0.106,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Transport (<500m),transit_distance,D_location,binary,binary,-0.12,0.098,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Transport (<500m),transit_distance,D_location,binary,binary,-0.001,0.09,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Transport (<500m),transit_distance,D_location,binary,binary,-0.025,0.102,,,,,,high,Dummy = 1 if a bus/metro stop lies within 500 m,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.211,0.062,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.168,0.056,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.128,0.049,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.134,0.045,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.124,0.046,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.126,0.049,,,***,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.111,0.059,,,*,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.144,0.06,,,**,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Trainstation (>1km),transit_distance,D_location,binary,binary,-0.158,0.08,,,**,,,high,Dummy = 1 if the train station is more than 1 km away (reverse-coded proximity),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Car park,parking,A_structural,binary,binary,-0.134,0.132,,,,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Car park,parking,A_structural,binary,binary,0.045,0.142,,,,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Car park,parking,A_structural,binary,binary,0.206,0.097,,,**,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Car park,parking,A_structural,binary,binary,0.181,0.067,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Car park,parking,A_structural,binary,binary,0.221,0.056,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Car park,parking,A_structural,binary,binary,0.207,0.045,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Car park,parking,A_structural,binary,binary,0.206,0.046,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Car park,parking,A_structural,binary,binary,0.216,0.056,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Car park,parking,A_structural,binary,binary,0.218,0.064,,,***,,,high,Dummy = 1 if a car park / parking facility is included or nearby,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Commercial,commercial_distance,D_location,binary,binary,0.066,0.075,,,,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Commercial,commercial_distance,D_location,binary,binary,0.111,0.063,,,*,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Commercial,commercial_distance,D_location,binary,binary,0.197,0.07,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Commercial,commercial_distance,D_location,binary,binary,0.274,0.077,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Commercial,commercial_distance,D_location,binary,binary,0.465,0.073,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Commercial,commercial_distance,D_location,binary,binary,0.529,0.058,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Commercial,commercial_distance,D_location,binary,binary,0.593,0.052,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Commercial,commercial_distance,D_location,binary,binary,0.667,0.062,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Commercial,commercial_distance,D_location,binary,binary,0.773,0.093,,,***,,,high,"Dummy = 1 if commercial activities/services lie within 500 m (proximity, not distance)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,View river/mountains,view,E_environment,binary,binary,0.195,0.054,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,View river/mountains,view,E_environment,binary,binary,0.22,0.042,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,View river/mountains,view,E_environment,binary,binary,0.215,0.036,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,View river/mountains,view,E_environment,binary,binary,0.219,0.035,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,View river/mountains,view,E_environment,binary,binary,0.229,0.037,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,View river/mountains,view,E_environment,binary,binary,0.195,0.038,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,View river/mountains,view,E_environment,binary,binary,0.172,0.039,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,View river/mountains,view,E_environment,binary,binary,0.142,0.045,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,View river/mountains,view,E_environment,binary,binary,0.149,0.045,,,***,,,high,Dummy = 1 if the dwelling enjoys a panoramic view of the river and/or mountains,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Number of baths+,bathrooms,A_structural,log,count,0.036,0.055,,,,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Number of baths+,bathrooms,A_structural,log,count,0.041,0.05,,,,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Number of baths+,bathrooms,A_structural,log,count,0.043,0.044,,,,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Number of baths+,bathrooms,A_structural,log,count,0.075,0.04,,,*,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Number of baths+,bathrooms,A_structural,log,count,0.12,0.038,,,***,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Number of baths+,bathrooms,A_structural,log,count,0.101,0.037,,,***,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Number of baths+,bathrooms,A_structural,log,count,0.095,0.041,,,**,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Number of baths+,bathrooms,A_structural,log,count,0.092,0.045,,,**,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Number of baths+,bathrooms,A_structural,log,count,0.106,0.052,,,**,,,high,Log of number of bathrooms (+ = logarithmic form),"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Economic Building,condition,A_structural,binary,binary,-0.381,0.032,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Economic Building,condition,A_structural,binary,binary,-0.361,0.025,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Economic Building,condition,A_structural,binary,binary,-0.371,0.027,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Economic Building,condition,A_structural,binary,binary,-0.369,0.025,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Economic Building,condition,A_structural,binary,binary,-0.392,0.025,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Economic Building,condition,A_structural,binary,binary,-0.402,0.026,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Economic Building,condition,A_structural,binary,binary,-0.415,0.026,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Economic Building,condition,A_structural,binary,binary,-0.422,0.029,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Economic Building,condition,A_structural,binary,binary,-0.376,0.038,,,***,,,high,Realtor/cadastral building class 'economic' (lower-quality building) vs base 'residential' building,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Historical Building,other,other,binary,binary,0.184,0.07,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Historical Building,other,other,binary,binary,0.253,0.071,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Historical Building,other,other,binary,binary,0.284,0.057,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Historical Building,other,other,binary,binary,0.275,0.047,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Historical Building,other,other,binary,binary,0.245,0.044,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Historical Building,other,other,binary,binary,0.235,0.04,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Historical Building,other,other,binary,binary,0.21,0.039,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Historical Building,other,other,binary,binary,0.173,0.044,,,***,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Historical Building,other,other,binary,binary,0.142,0.058,,,**,,,high,Realtor building class 'historical building' vs base 'residential'; printed name 'Historical building',"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Age+,age,A_structural,log,years,-0.006,0.033,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Age+,age,A_structural,log,years,-0.012,0.025,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Age+,age,A_structural,log,years,0.017,0.022,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Age+,age,A_structural,log,years,0.034,0.022,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Age+,age,A_structural,log,years,0.048,0.024,,,**,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Age+,age,A_structural,log,years,0.034,0.023,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Age+,age,A_structural,log,years,0.031,0.021,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Age+,age,A_structural,log,years,-0.002,0.026,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Age+,age,A_structural,log,years,-0.008,0.028,,,,,,high,"Log of age in years, measured from the date of the last renovation if any (years since construction or renewal)","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Total Surface+,living_area,A_structural,log,m2,1.002,0.052,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Total Surface+,living_area,A_structural,log,m2,1.0,0.043,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Total Surface+,living_area,A_structural,log,m2,0.95,0.041,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Total Surface+,living_area,A_structural,log,m2,0.933,0.037,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Total Surface+,living_area,A_structural,log,m2,0.904,0.033,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Total Surface+,living_area,A_structural,log,m2,0.911,0.03,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Total Surface+,living_area,A_structural,log,m2,0.917,0.034,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Total Surface+,living_area,A_structural,log,m2,0.917,0.033,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Total Surface+,living_area,A_structural,log,m2,0.899,0.035,,,***,,,high,Log of total surface in square metres,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Floor level,floor_level,A_structural,log,count,0.033,0.019,,,*,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Floor level,floor_level,A_structural,log,count,0.028,0.015,,,*,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Floor level,floor_level,A_structural,log,count,0.038,0.017,,,**,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Floor level,floor_level,A_structural,log,count,0.034,0.016,,,**,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Floor level,floor_level,A_structural,log,count,0.03,0.016,,,*,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Floor level,floor_level,A_structural,log,count,0.02,0.015,,,,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Floor level,floor_level,A_structural,log,count,0.017,0.016,,,,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Floor level,floor_level,A_structural,log,count,0.015,0.017,,,,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Floor level,floor_level,A_structural,log,count,0.029,0.022,,,,,,high,"Log of floor level (1-9) ; printed without the '+' log marker in Table 4 (model described as log-log), transform assumed as in Table 3","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Movida 50 (#),noise,E_environment,level,count,0.025,0.024,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Movida 50 (#),noise,E_environment,level,count,0.016,0.017,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Movida 50 (#),noise,E_environment,level,count,0.006,0.019,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Movida 50 (#),noise,E_environment,level,count,0.019,0.018,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Movida 50 (#),noise,E_environment,level,count,0.022,0.017,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Movida 50 (#),noise,E_environment,level,count,0.02,0.016,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Movida 50 (#),noise,E_environment,level,count,0.016,0.015,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Movida 50 (#),noise,E_environment,level,count,0.023,0.017,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Movida 50 (#),noise,E_environment,level,count,-0.002,0.02,,,,,,high,"Number of night-time recreational activities (bars, pubs, nightclubs open Saturday 10 pm - 2 am, Google Maps) within 50 m of the dwelling - recreational-noise proxy, not a dB measure","log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Movida 51_75 (#),noise,E_environment,level,count,0.0,0.021,,,,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Movida 51_75 (#),noise,E_environment,level,count,-0.031,0.019,,,,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Movida 51_75 (#),noise,E_environment,level,count,-0.026,0.02,,,,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Movida 51_75 (#),noise,E_environment,level,count,-0.029,0.016,,,*,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Movida 51_75 (#),noise,E_environment,level,count,-0.032,0.014,,,**,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Movida 51_75 (#),noise,E_environment,level,count,-0.028,0.014,,,*,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Movida 51_75 (#),noise,E_environment,level,count,-0.038,0.016,,,**,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Movida 51_75 (#),noise,E_environment,level,count,-0.039,0.02,,,**,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Movida 51_75 (#),noise,E_environment,level,count,-0.032,0.025,,,,,,high,Number of night-time recreational activities located 51-75 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c1,4,1,35,Movida 76_100 (#),noise,E_environment,level,count,-0.027,0.017,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.10; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.612; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c2,4,2,35,Movida 76_100 (#),noise,E_environment,level,count,0.0,0.018,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.20; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.616; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c3,4,3,35,Movida 76_100 (#),noise,E_environment,level,count,0.0,0.019,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.30; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.624; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c4,4,4,35,Movida 76_100 (#),noise,E_environment,level,count,0.01,0.014,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.40; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.635; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c5,4,5,35,Movida 76_100 (#),noise,E_environment,level,count,0.014,0.011,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.50; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.643; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c6,4,6,35,Movida 76_100 (#),noise,E_environment,level,count,0.007,0.011,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.60; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.65; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c7,4,7,35,Movida 76_100 (#),noise,E_environment,level,count,0.017,0.012,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.70; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.654; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c8,4,8,35,Movida 76_100 (#),noise,E_environment,level,count,-0.001,0.015,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.80; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.658; SE type not stated"
0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442,0aed4606387835599541d79050eabb05449e0442:T4-c9,4,9,35,Movida 76_100 (#),noise,E_environment,level,count,0.017,0.022,,,,,,high,Number of night-time recreational activities located 76-100 m from the dwelling - recreational-noise proxy,"log(price), real transaction price (EUR, CPI-deflated)",log,quantile,1176.0,,se,"Quantile regression tau = 0.90; central subsample, dwellings on the market for more than one year (N = 1,176); urban-area and time dummies; pseudo-R2 = 0.661; SE type not stated"
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T5-c1,5,1,6,square,living_area,A_structural,level,m2,-59.74631,5.937107,-10.06,0.0,,-71.38733,-48.1053,high,Total housing area,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,OLS,3139.0,0.8689,se,Full sample of first 3139 complete Lianjia rows; robust SEs (Table 3 R2 refers to the non-robust OLS with identical point estimates)
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T5-c1,5,1,6,livingRoom,bedrooms,A_structural,level,count,542.6135,291.935,1.86,0.063,,-29.78979,1115.017,medium,"Printed meaning ""the living room's number""; in the Lianjia/Kaggle Beijing dataset this field (shi) is the number of bedrooms, hence mapped to bedrooms","price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,OLS,3139.0,0.8689,se,Full sample of first 3139 complete Lianjia rows; robust SEs (Table 3 R2 refers to the non-robust OLS with identical point estimates)
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T5-c1,5,1,6,drawingRoom,other,other,level,count,1993.013,351.7496,5.67,0.0,,1303.329,2682.696,high,"Number of drawing rooms (ting, living/reception rooms)","price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,OLS,3139.0,0.8689,se,Full sample of first 3139 complete Lianjia rows; robust SEs (Table 3 R2 refers to the non-robust OLS with identical point estimates)
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T5-c1,5,1,6,ladderRatio,other,other,level,ratio (residents per floor per elevator),2716.725,932.9369,2.91,0.004,,887.4948,4545.954,high,Ladder ratio: proportion between number of residents on the same floor and number of elevators,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,OLS,3139.0,0.8689,se,Full sample of first 3139 complete Lianjia rows; robust SEs (Table 3 R2 refers to the non-robust OLS with identical point estimates)
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T5-c1,5,1,6,elevator,accessibility,B_interior,binary,binary,843.4289,327.006,2.58,0.01,,202.2612,1484.597,high,=1 if building has an elevator,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,OLS,3139.0,0.8689,se,Full sample of first 3139 complete Lianjia rows; robust SEs (Table 3 R2 refers to the non-robust OLS with identical point estimates)
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T5-c1,5,1,6,subway,transit_distance,D_location,binary,binary (proximity to subway),968.7746,315.3396,3.07,0.002,,350.4814,1587.068,high,Proximity to subway dummy (Lianjia field),"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,OLS,3139.0,0.8689,se,Full sample of first 3139 complete Lianjia rows; robust SEs (Table 3 R2 refers to the non-robust OLS with identical point estimates)
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T5-c1,5,1,6,communityAverage,other,other,level,currency (RMB per m2),0.8442177,0.0078306,107.81,0.0,,0.8288642,0.8595713,high,Average price per m2 in the community (neighbourhood price level control),"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,OLS,3139.0,0.8689,se,Full sample of first 3139 complete Lianjia rows; robust SEs (Table 3 R2 refers to the non-robust OLS with identical point estimates)
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T7-c1,7,1,7,square,living_area,A_structural,level,m2,-52.27434,11.09248,-4.71,0.0,,-74.0152,-30.53347,high,Total housing area; z-statistic recorded in t,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,IV,3139.0,0.8688,se,"2SLS, square instrumented by number of bathrooms and number of followers; robust SEs; z-statistics"
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T7-c1,7,1,7,livingRoom,bedrooms,A_structural,level,count,299.7442,408.9099,0.73,0.464,,-501.7045,1101.193,medium,"Printed meaning ""the living room's number""; in the Lianjia/Kaggle Beijing dataset this field (shi) is the number of bedrooms, hence mapped to bedrooms; z-statistic recorded in t","price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,IV,3139.0,0.8688,se,"2SLS, square instrumented by number of bathrooms and number of followers; robust SEs; z-statistics"
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T7-c1,7,1,7,drawingRoom,other,other,level,count,1812.467,407.2673,4.45,0.0,,1014.238,2610.696,high,"Number of drawing rooms (ting, living/reception rooms); z-statistic recorded in t","price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,IV,3139.0,0.8688,se,"2SLS, square instrumented by number of bathrooms and number of followers; robust SEs; z-statistics"
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T7-c1,7,1,7,ladderRatio,other,other,level,ratio (residents per floor per elevator),2368.047,1112.697,2.13,0.033,,187.2018,4548.892,high,Ladder ratio: proportion between number of residents on the same floor and number of elevators; z-statistic recorded in t,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,IV,3139.0,0.8688,se,"2SLS, square instrumented by number of bathrooms and number of followers; robust SEs; z-statistics"
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T7-c1,7,1,7,elevator,accessibility,B_interior,binary,binary,663.3836,404.546,1.64,0.101,,-129.512,1456.279,high,=1 if building has an elevator; z-statistic recorded in t,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,IV,3139.0,0.8688,se,"2SLS, square instrumented by number of bathrooms and number of followers; robust SEs; z-statistics"
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T7-c1,7,1,7,subway,transit_distance,D_location,binary,binary (proximity to subway),974.9528,314.9833,3.1,0.002,,357.597,1592.309,high,Proximity to subway dummy (Lianjia field); z-statistic recorded in t,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,IV,3139.0,0.8688,se,"2SLS, square instrumented by number of bathrooms and number of followers; robust SEs; z-statistics"
0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359,0b9eefecd90b818651be4c57fe476bab87958359:T7-c1,7,1,7,communityAverage,other,other,level,currency (RMB per m2),0.8450588,0.0079132,106.79,0.0,,0.8295493,0.8605683,high,Average price per m2 in the community (neighbourhood price level control); z-statistic recorded in t,"price (average price per square metre, Lianjia listing/transaction data, RMB per m2)",per_m2,IV,3139.0,0.8688,se,"2SLS, square instrumented by number of bathrooms and number of followers; robust SEs; z-statistics"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,EPC band A/B,energy_efficiency,A_structural,dummy,binary,0.022,,,,***,0.011,0.033,high,EPC band A/B vs reference D,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,EPC band C,energy_efficiency,A_structural,dummy,binary,0.013,,,,***,0.011,0.015,high,EPC band C vs reference D,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,EPC band E,energy_efficiency,A_structural,dummy,binary,-0.015,,,,***,-0.018,-0.013,high,EPC band E vs reference D,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,EPC band F/G,energy_efficiency,A_structural,dummy,binary,-0.041,,,,***,-0.047,-0.035,high,EPC band F/G vs reference D,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,EPC score,energy_efficiency,A_structural,level,index,0.001,,,,***,0.001,0.001,high,"Continuous EPC score 0-100 (SAP points); CI printed [0.001,0.001] (rounded)",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Tenure: Leasehold,other,other,dummy,binary,-0.007,,,,***,-0.009,-0.005,high,Printed name Tenure Leasehold vs freehold,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Tenure: Leasehold,other,other,dummy,binary,-0.007,,,,***,-0.009,-0.005,high,Printed name Tenure Leasehold vs freehold,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Property type: Bungalow,dwelling_type,A_structural,dummy,binary,0.094,,,,***,0.09,0.097,high,Bungalow vs house,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Property type: Bungalow,dwelling_type,A_structural,dummy,binary,0.094,,,,***,0.09,0.097,high,Bungalow vs house,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Total floor area (log),living_area,A_structural,log,m2,0.496,,,,***,0.491,0.501,high,Natural log of total floor area in sqm (EPC record),natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Total floor area (log),living_area,A_structural,log,m2,0.496,,,,***,0.491,0.501,high,Natural log of total floor area in sqm (EPC record),natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Habitable rooms: 4,bedrooms,A_structural,dummy,count,0.014,,,,***,0.01,0.017,high,"Habitable rooms (all rooms, not bedrooms) 4 vs reference 1-3",natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Habitable rooms: 4,bedrooms,A_structural,dummy,count,0.013,,,,***,0.01,0.017,high,"Habitable rooms (all rooms, not bedrooms) 4 vs reference 1-3",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Habitable rooms: 5,bedrooms,A_structural,dummy,count,0.054,,,,***,0.051,0.058,high,Habitable rooms 5 vs 1-3,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Habitable rooms: 5,bedrooms,A_structural,dummy,count,0.054,,,,***,0.051,0.058,high,Habitable rooms 5 vs 1-3,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Habitable rooms: 6-7,bedrooms,A_structural,dummy,count,0.126,,,,***,0.121,0.13,high,Habitable rooms 6-7 vs 1-3,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Habitable rooms: 6-7,bedrooms,A_structural,dummy,count,0.126,,,,***,0.121,0.13,high,Habitable rooms 6-7 vs 1-3,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Habitable rooms: 8-10,bedrooms,A_structural,dummy,count,0.196,,,,***,0.189,0.203,high,Habitable rooms 8-10 vs 1-3,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Habitable rooms: 8-10,bedrooms,A_structural,dummy,count,0.196,,,,***,0.188,0.203,high,Habitable rooms 8-10 vs 1-3,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Built form: Detached,dwelling_type,A_structural,dummy,binary,0.174,,,,***,0.171,0.177,high,Detached vs semi-detached,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Built form: Detached,dwelling_type,A_structural,dummy,binary,0.174,,,,***,0.171,0.177,high,Detached vs semi-detached,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Built form: Terraced,dwelling_type,A_structural,dummy,binary,-0.172,,,,***,-0.175,-0.17,high,Terraced vs semi-detached,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Built form: Terraced,dwelling_type,A_structural,dummy,binary,-0.172,,,,***,-0.175,-0.17,high,Terraced vs semi-detached,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Building age: Before 1900,age,A_structural,dummy,years,0.001,,,,,-0.003,0.005,high,"Construction period band vs reference 1950-1966 (year built, not age)",natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Building age: Before 1900,age,A_structural,dummy,years,0.002,,,,,-0.002,0.006,high,"Construction period band vs reference 1950-1966 (year built, not age)",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Building age: 1900-1929,age,A_structural,dummy,years,-0.032,,,,***,-0.035,-0.028,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Building age: 1900-1929,age,A_structural,dummy,years,-0.031,,,,***,-0.034,-0.027,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Building age: 1930-1949,age,A_structural,dummy,years,0.014,,,,***,0.011,0.017,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Building age: 1930-1949,age,A_structural,dummy,years,0.015,,,,***,0.012,0.018,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Building age: 1967-1982,age,A_structural,dummy,years,0.026,,,,***,0.023,0.029,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Building age: 1967-1982,age,A_structural,dummy,years,0.025,,,,***,0.022,0.029,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Building age: 1983-2002,age,A_structural,dummy,years,0.099,,,,***,0.095,0.103,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Building age: 1983-2002,age,A_structural,dummy,years,0.098,,,,***,0.094,0.102,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Building age: 2003-2011,age,A_structural,dummy,years,0.132,,,,***,0.127,0.137,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Building age: 2003-2011,age,A_structural,dummy,years,0.128,,,,***,0.123,0.133,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Building age: 2012-2024,age,A_structural,dummy,years,0.139,,,,***,0.115,0.162,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Building age: 2012-2024,age,A_structural,dummy,years,0.132,,,,***,0.109,0.156,high,Construction period band vs 1950-1966,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Modern kitchen,kitchen_quality,B_interior,dummy,binary,0.043,,,,***,0.041,0.045,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Modern kitchen,kitchen_quality,B_interior,dummy,binary,0.043,,,,***,0.041,0.045,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Garage,garage,A_structural,dummy,binary,0.057,,,,***,0.055,0.06,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Garage,garage,A_structural,dummy,binary,0.058,,,,***,0.055,0.06,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Basement,basement,A_structural,dummy,binary,0.051,,,,***,0.043,0.059,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Basement,basement,A_structural,dummy,binary,0.052,,,,***,0.044,0.06,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Garden,garden,C_exterior,dummy,binary,0.073,,,,***,0.07,0.076,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Garden,garden,C_exterior,dummy,binary,0.073,,,,***,0.07,0.075,high,Keyword from listing text,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,School quality,school_quality,F_neighbourhood,level,index,0.008,,,,***,0.003,0.012,high,Average Ofsted rating (1-4) of nearest primary and secondary school,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,School quality,school_quality,F_neighbourhood,level,index,0.008,,,,***,0.003,0.012,high,Average Ofsted rating (1-4) of nearest primary and secondary school,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Population density (natural log),density,F_neighbourhood,log,per_km2,-0.006,,,,,-0.023,0.01,high,Log of 100s of residents per km2 (LSOA),natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Population density (natural log),density,F_neighbourhood,log,per_km2,-0.006,,,,,-0.023,0.01,high,Log of 100s of residents per km2 (LSOA),natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Accessibility PC1,transit_distance,D_location,level,index,0.017,,,,***,0.015,0.019,high,First principal component of PTAI public transport accessibility measures (LSOA),natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Accessibility PC1,transit_distance,D_location,level,index,0.017,,,,***,0.015,0.019,high,First principal component of PTAI public transport accessibility measures (LSOA),natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Accessibility PC2,transit_distance,D_location,level,index,-0.004,,,,,-0.011,0.003,high,Second principal component of PTAI measures,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Accessibility PC2,transit_distance,D_location,level,index,-0.004,,,,,-0.011,0.003,high,Second principal component of PTAI measures,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M1,3,Model 1: EPC bands,10,Income Deprivation,income,F_neighbourhood,level,share,-1.589,,,,***,-1.694,-1.484,high,Income Deprivation score = share (0-1) of residents on low-income benefits (LSOA); inverse of income,natural log of listing price (GBP),log,other,170137.0,0.896,none,"Full sample 2017-09 to 2024-05; two-level random-intercept model (LSOA); 95% CIs in brackets, no SE; year-quarter dummies"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T3-M2,3,Model 2: EPC score,10,Income Deprivation,income,F_neighbourhood,level,share,-1.59,,,,***,-1.694,-1.484,high,Income Deprivation score = share (0-1) of residents on low-income benefits (LSOA); inverse of income,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; continuous EPC score instead of bands
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,EPC A/B,energy_efficiency,A_structural,dummy,binary,0.02,,,,*,0.006,0.034,high,"EPC A/B vs D, pre-2022 baseline (interaction model)",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,After energy crisis * EPC A/B,energy_efficiency,A_structural,other,binary,0.005,,,,,-0.017,0.028,high,Interaction: change in A/B premium from 2022 onwards,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,EPC C,energy_efficiency,A_structural,dummy,binary,0.012,,,,***,0.009,0.015,high,"EPC C vs D, pre-2022 baseline",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,After energy crisis * EPC C,energy_efficiency,A_structural,other,binary,0.001,,,,,-0.003,0.005,high,Interaction: change in C premium from 2022,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,EPC E,energy_efficiency,A_structural,dummy,binary,-0.013,,,,***,-0.016,-0.01,high,"EPC E vs D, pre-2022 baseline",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,After energy crisis * EPC E,energy_efficiency,A_structural,other,binary,-0.008,,,,**,-0.013,-0.003,high,Interaction: change in E discount from 2022,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,EPC F/G,energy_efficiency,A_structural,dummy,binary,-0.036,,,,***,-0.043,-0.03,high,"EPC F/G vs D, pre-2022 baseline",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M3,4,Model 3: Interaction with EPC bands,10,After energy crisis * EPC F/G,energy_efficiency,A_structural,other,binary,-0.019,,,,**,-0.032,-0.006,high,Interaction: change in F/G discount from 2022,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC bands interacted with post-2022 energy-crisis dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M4,4,Model 4: Interaction with EPC score,10,EPC score,energy_efficiency,A_structural,level,index,0.0012,,,,***,0.0011,0.0013,high,"Continuous EPC score, pre-2022 baseline",natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC score interacted with post-2022 dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T4-M4,4,Model 4: Interaction with EPC score,10,After energy crisis * EPC score,energy_efficiency,A_structural,other,index,0.0003,,,,***,0.0001,0.0005,high,Interaction: change in per-point premium from 2022,natural log of listing price (GBP),log,other,170137.0,0.896,none,Full sample; EPC score interacted with post-2022 dummy; only variables of interest reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-matched-bands,5,Matched listings,11,EPC band A/B,energy_efficiency,A_structural,dummy,binary,0.018,,,,*,0.001,0.035,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,64292.0,,none,"Listings matched to Land Registry transactions, 2017-09 to 2023-10; EPC bands model; only EPC rows reported"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-matched-bands,5,Matched listings,11,EPC band C,energy_efficiency,A_structural,dummy,binary,0.012,,,,***,0.009,0.015,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,64292.0,,none,"Listings matched to Land Registry transactions, 2017-09 to 2023-10; EPC bands model; only EPC rows reported"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-matched-bands,5,Matched listings,11,EPC band E,energy_efficiency,A_structural,dummy,binary,-0.014,,,,***,-0.018,-0.011,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,64292.0,,none,"Listings matched to Land Registry transactions, 2017-09 to 2023-10; EPC bands model; only EPC rows reported"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-matched-bands,5,Matched listings,11,EPC band F/G,energy_efficiency,A_structural,dummy,binary,-0.045,,,,***,-0.053,-0.037,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,64292.0,,none,"Listings matched to Land Registry transactions, 2017-09 to 2023-10; EPC bands model; only EPC rows reported"
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-matched-score,5,Matched listings,11,EPC score,energy_efficiency,A_structural,level,index,0.001,,,,***,0.001,0.001,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,64292.0,,none,Matched listings; EPC score model; only EPC row reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-all-bands,5,All listings,11,EPC band A/B,energy_efficiency,A_structural,dummy,binary,0.019,,,,**,0.007,0.031,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,149526.0,,none,All listings 2017-09 to 2023-10; EPC bands model; only EPC rows reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-all-bands,5,All listings,11,EPC band C,energy_efficiency,A_structural,dummy,binary,0.012,,,,***,0.01,0.014,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,149526.0,,none,All listings 2017-09 to 2023-10; EPC bands model; only EPC rows reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-all-bands,5,All listings,11,EPC band E,energy_efficiency,A_structural,dummy,binary,-0.016,,,,***,-0.018,-0.013,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,149526.0,,none,All listings 2017-09 to 2023-10; EPC bands model; only EPC rows reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-all-bands,5,All listings,11,EPC band F/G,energy_efficiency,A_structural,dummy,binary,-0.04,,,,***,-0.046,-0.035,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,149526.0,,none,All listings 2017-09 to 2023-10; EPC bands model; only EPC rows reported
0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89,0ce3fe88a1c7202d8a2a9d78f61d5b7af8475b89:T5-all-score,5,All listings,11,EPC score,energy_efficiency,A_structural,level,index,0.001,,,,***,0.001,0.001,high,Robustness model; reference band D; only EPC variables reported,natural log of listing price (GBP),log,other,149526.0,,none,All listings 2017-09 to 2023-10; EPC score model; only EPC row reported
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c1,4,1,8,Area,living_area,A_structural,level,100 m2,0.443,0.004,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.846,se,Baseline hedonic model without geomantic attributes; district + quarter FE
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c1,4,1,8,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), i.e. rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.846,se,Baseline hedonic model without geomantic attributes; district + quarter FE
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c1,4,1,8,Subway,transit_distance,D_location,dummy,binary,0.027,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.846,se,Baseline hedonic model without geomantic attributes; district + quarter FE
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c1,4,1,8,Bus,transit_distance,D_location,dummy,binary,0.024,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.846,se,Baseline hedonic model without geomantic attributes; district + quarter FE
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c1,4,1,8,Log_Park,green_space,E_environment,log,m,-0.023,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.846,se,Baseline hedonic model without geomantic attributes; district + quarter FE
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c1,4,1,8,Log_CBD,cbd_distance,D_location,log,m,-0.027,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.846,se,Baseline hedonic model without geomantic attributes; district + quarter FE
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Graveyard,other,other,dummy,binary,-0.043,0.01,,,***,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Funeral home,other,other,dummy,binary,-0.023,0.011,,,**,,,high,Dummy = 1 if near a funeral home; printed name 'Funeral home',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Hospital,hospital_distance,D_location,dummy,binary,-0.024,0.007,,,***,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.143,0.034,,,***,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Highway,highway_distance,D_location,dummy,binary,-0.015,0.007,,,**,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Unlucky floor,other,other,dummy,binary,-0.004,0.005,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Unlucky address,other,other,dummy,binary,-0.009,0.005,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Unlucky unit,other,other,dummy,binary,0.005,0.004,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Area,living_area,A_structural,level,100 m2,0.442,0.004,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), i.e. rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Subway,transit_distance,D_location,dummy,binary,0.026,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Bus,transit_distance,D_location,dummy,binary,0.022,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Log_Park,green_space,E_environment,log,m,-0.026,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c2,4,2,8,Log_CBD,cbd_distance,D_location,log,m,-0.025,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.847,se,Stepwise: adds unfavorable geomantic attributes and unlucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Graveyard,other,other,dummy,binary,-0.037,0.01,,,***,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Funeral home,other,other,dummy,binary,-0.024,0.011,,,**,,,high,Dummy = 1 if near a funeral home; printed name 'Funeral home',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Hospital,hospital_distance,D_location,dummy,binary,-0.021,0.007,,,***,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.139,0.031,,,***,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Highway,highway_distance,D_location,dummy,binary,-0.017,0.007,,,**,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Unlucky floor,other,other,dummy,binary,-0.006,0.005,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Unlucky address,other,other,dummy,binary,-0.008,0.005,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Unlucky unit,other,other,dummy,binary,0.004,0.004,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Pearl River,water_proximity,E_environment,dummy,binary,0.025,0.004,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Orientation,sunlight,E_environment,dummy,binary,0.001,0.003,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Area,living_area,A_structural,level,100 m2,0.44,0.005,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), i.e. rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Subway,transit_distance,D_location,dummy,binary,0.023,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Bus,transit_distance,D_location,dummy,binary,0.021,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Log_Park,green_space,E_environment,log,m,-0.027,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c3,4,3,8,Log_CBD,cbd_distance,D_location,log,m,-0.024,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.848,se,Stepwise: adds favorable geomantic attributes
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Graveyard,other,other,dummy,binary,-0.037,0.01,,,***,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Funeral home,other,other,dummy,binary,-0.025,0.011,,,**,,,high,Dummy = 1 if near a funeral home; printed name 'Funeral home',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Hospital,hospital_distance,D_location,dummy,binary,-0.021,0.007,,,***,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.137,0.031,,,***,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Highway,highway_distance,D_location,dummy,binary,-0.018,0.007,,,**,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Unlucky floor,other,other,dummy,binary,-0.004,0.005,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Unlucky address,other,other,dummy,binary,-0.007,0.005,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Unlucky unit,other,other,dummy,binary,0.004,0.004,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Pearl River,water_proximity,E_environment,dummy,binary,0.026,0.004,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Orientation,sunlight,E_environment,dummy,binary,0.001,0.003,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Lucky floor,other,other,dummy,binary,0.012,0.005,,,***,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Lucky address,other,other,dummy,binary,0.012,0.004,,,***,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Lucky unit,other,other,dummy,binary,-0.004,0.006,,,,,,high,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Area,living_area,A_structural,level,100 m2,0.44,0.005,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), i.e. rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Subway,transit_distance,D_location,dummy,binary,0.023,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Bus,transit_distance,D_location,dummy,binary,0.021,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Log_Park,green_space,E_environment,log,m,-0.027,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c4,4,4,8,Log_CBD,cbd_distance,D_location,log,m,-0.025,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,Stepwise: adds lucky numbers
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Graveyard,other,other,dummy,binary,-0.037,0.01,,,***,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Funeral home,other,other,dummy,binary,-0.026,0.011,,,**,,,high,Dummy = 1 if near a funeral home; printed name 'Funeral home',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Hospital,hospital_distance,D_location,dummy,binary,-0.021,0.007,,,***,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.134,0.033,,,***,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Highway,highway_distance,D_location,dummy,binary,-0.018,0.007,,,**,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Unlucky floor,other,other,dummy,binary,-0.004,0.005,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Unlucky address,other,other,dummy,binary,-0.007,0.005,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Unlucky unit,other,other,dummy,binary,0.003,0.004,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Pearl River,water_proximity,E_environment,dummy,binary,0.027,0.004,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Orientation,sunlight,E_environment,dummy,binary,-0.001,0.003,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Lucky floor,other,other,dummy,binary,0.012,0.005,,,**,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Lucky address,other,other,dummy,binary,0.012,0.004,,,***,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Lucky unit,other,other,dummy,binary,-0.003,0.006,,,,,,high,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Area,living_area,A_structural,level,100 m2,0.436,0.005,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), i.e. rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Subway,transit_distance,D_location,dummy,binary,0.024,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Bus,transit_distance,D_location,dummy,binary,0.019,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Log_Park,green_space,E_environment,log,m,-0.028,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T4-c5,4,5,8,Log_CBD,cbd_distance,D_location,log,m,-0.024,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Full model incl. buyer demographic characteristics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,BFS_1,other,other,level,count,-0.022,0.004,,,***,,,high,"Count of unfavorable geomantic attributes near the house (graveyard, funeral home, highway, hospital); printed name 'BFS_1'","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Pearl River,water_proximity,E_environment,dummy,binary,0.028,0.004,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Orientation,sunlight,E_environment,dummy,binary,-0.001,0.003,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Unlucky floor,other,other,dummy,binary,-0.004,0.005,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Unlucky address,other,other,dummy,binary,-0.007,0.005,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Unlucky unit,other,other,dummy,binary,0.003,0.004,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Lucky floor,other,other,dummy,binary,0.012,0.005,,,**,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Lucky address,other,other,dummy,binary,0.012,0.004,,,***,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Lucky unit,other,other,dummy,binary,-0.002,0.006,,,,,,high,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Area,living_area,A_structural,level,100 m2,0.436,0.005,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), i.e. rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Bus,transit_distance,D_location,dummy,binary,0.02,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Subway,transit_distance,D_location,dummy,binary,0.022,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Log_Park,green_space,E_environment,log,m,-0.027,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c2,5,2,10,Log_CBD,cbd_distance,D_location,log,m,-0.024,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_1 (count of 4 unfavorable attributes) replaces individual unfavorable dummies; incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,BFS_2,other,other,level,count,-0.024,0.004,,,***,,,high,Count of unfavorable geomantic attributes incl. slaughterhouse; printed name 'BFS_2',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Pearl River,water_proximity,E_environment,dummy,binary,0.028,0.004,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Orientation,sunlight,E_environment,dummy,binary,-0.001,0.003,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Unlucky floor,other,other,dummy,binary,-0.004,0.005,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Unlucky address,other,other,dummy,binary,-0.007,0.005,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Unlucky unit,other,other,dummy,binary,0.003,0.004,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Lucky floor,other,other,dummy,binary,0.012,0.005,,,**,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Lucky address,other,other,dummy,binary,0.012,0.004,,,***,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Lucky unit,other,other,dummy,binary,-0.002,0.006,,,,,,high,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Area,living_area,A_structural,level,100 m2,0.436,0.005,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), i.e. rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Bus,transit_distance,D_location,dummy,binary,0.02,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Subway,transit_distance,D_location,dummy,binary,0.022,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Log_Park,green_space,E_environment,log,m,-0.027,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T5-c3,5,3,10,Log_CBD,cbd_distance,D_location,log,m,-0.024,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.85,se,Group variable BFS_2 (count of 5 unfavorable attributes incl. slaughterhouse); incl. demographics
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Graveyard,other,other,dummy,binary,-0.036,0.01,,,***,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Funeral home,other,other,dummy,binary,-0.027,0.011,,,**,,,high,Dummy = 1 if near a funeral home; printed name 'Funeral home',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Hospital,hospital_distance,D_location,dummy,binary,-0.021,0.007,,,***,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.136,0.032,,,***,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Highway,highway_distance,D_location,dummy,binary,-0.018,0.007,,,**,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Unlucky floor,other,other,dummy,binary,-0.004,0.005,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Unlucky address,other,other,dummy,binary,-0.007,0.005,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Unlucky unit,other,other,dummy,binary,0.004,0.004,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Pearl River,water_proximity,E_environment,dummy,binary,0.027,0.004,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Orientation,sunlight,E_environment,dummy,binary,-0.001,0.003,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Lucky floor,other,other,dummy,binary,0.012,0.005,,,**,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,11,Lucky address,other,other,dummy,binary,0.012,0.004,,,***,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,12,Lucky unit,other,other,dummy,binary,-0.003,0.006,,,,,,high,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,12,Area,living_area,A_structural,level,100 m2,0.441,0.005,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,12,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,12,Subway,transit_distance,D_location,dummy,binary,0.023,0.004,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,12,Bus,transit_distance,D_location,dummy,binary,0.02,0.004,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,12,Log_Park,green_space,E_environment,log,m,-0.028,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c1,6,1,12,Log_CBD,cbd_distance,D_location,log,m,-0.025,0.004,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,4859.0,0.849,se,"Whole sample; demographics (Guangdong, gender, age) included, improvement-demand dummy excluded"
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Graveyard,other,other,dummy,binary,-0.041,0.012,,,***,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Funeral home,other,other,dummy,binary,-0.008,0.014,,,,,,high,Dummy = 1 if near a funeral home; printed name 'Funeral home',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Hospital,hospital_distance,D_location,dummy,binary,-0.01,0.011,,,,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.122,0.039,,,***,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Highway,highway_distance,D_location,dummy,binary,-0.008,0.009,,,,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Unlucky floor,other,other,dummy,binary,-0.006,0.007,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Unlucky address,other,other,dummy,binary,-0.012,0.007,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Unlucky unit,other,other,dummy,binary,-0.001,0.005,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Pearl River,water_proximity,E_environment,dummy,binary,0.023,0.006,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Orientation,sunlight,E_environment,dummy,binary,0.002,0.005,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Lucky floor,other,other,dummy,binary,0.007,0.006,,,,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,11,Lucky address,other,other,dummy,binary,0.011,0.006,,,*,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,12,Lucky unit,other,other,dummy,binary,-0.001,0.008,,,,,,high,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,12,Area,living_area,A_structural,level,100 m2,0.462,0.007,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,12,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,12,Subway,transit_distance,D_location,dummy,binary,0.03,0.005,,,***,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,12,Bus,transit_distance,D_location,dummy,binary,0.021,0.006,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,12,Log_Park,green_space,E_environment,log,m,-0.025,0.008,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c2,6,2,12,Log_CBD,cbd_distance,D_location,log,m,-0.02,0.005,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,2789.0,0.827,se,First-time demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Graveyard,other,other,dummy,binary,-0.027,0.012,,,**,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Funeral home,other,other,dummy,binary,-0.057,0.011,,,***,,,high,Dummy = 1 if near a funeral home; printed name 'Funeral home',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Hospital,hospital_distance,D_location,dummy,binary,-0.042,0.012,,,***,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.193,0.017,,,***,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Highway,highway_distance,D_location,dummy,binary,-0.024,0.012,,,**,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Unlucky floor,other,other,dummy,binary,0.0,0.008,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Unlucky address,other,other,dummy,binary,-0.003,0.008,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Unlucky unit,other,other,dummy,binary,0.007,0.007,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Pearl River,water_proximity,E_environment,dummy,binary,0.024,0.007,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Orientation,sunlight,E_environment,dummy,binary,-0.005,0.005,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Lucky floor,other,other,dummy,binary,0.021,0.007,,,***,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,11,Lucky address,other,other,dummy,binary,0.012,0.007,,,*,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,12,Lucky unit,other,other,dummy,binary,-0.009,0.0011,,,,,,medium,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit'; SE printed as (-0.0011)/(-0.0031): likely typo for 0.011/0.031 (implied |t| would be ~8-15 for an unstarred coefficient); recorded as printed,"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,12,Area,living_area,A_structural,level,100 m2,0.4,0.007,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,12,Floor,floor_level,A_structural,level,count,0.002,,,,***,,,high,"Floor level of the unit (mean 13.8, max 47); SE printed as (0.000), rounds to zero at 3 decimals; not usable","Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,12,Subway,transit_distance,D_location,dummy,binary,0.009,0.007,,,,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,12,Bus,transit_distance,D_location,dummy,binary,0.02,0.007,,,***,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,12,Log_Park,green_space,E_environment,log,m,-0.032,0.008,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c3,6,3,12,Log_CBD,cbd_distance,D_location,log,m,-0.031,0.007,,,***,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,1854.0,0.865,se,Improvement demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Graveyard,other,other,dummy,binary,0.018,0.044,,,,,,high,Dummy = 1 if house located near a graveyard (unfavorable geomantic attribute); printed name 'Graveyard',"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Hospital,hospital_distance,D_location,dummy,binary,-0.017,0.023,,,,,,high,"Dummy = 1 if near a hospital (unfavorable geomantic attribute); proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Slaughterhouse,hazard_site,E_environment,dummy,binary,-0.08,0.06,,,,,,high,Dummy = 1 if near a slaughterhouse (unfavorable geomantic attribute); printed name 'Slaughterhouse',"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Highway,highway_distance,D_location,dummy,binary,-0.063,0.033,,,*,,,high,"Dummy = 1 if near a highway; proximity indicator, not distance","Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Unlucky floor,other,other,dummy,binary,-0.012,0.025,,,,,,high,Dummy = 1 if unit on 4th/14th/24th/34th/44th floor; printed name 'Unlucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Unlucky address,other,other,dummy,binary,0.019,0.037,,,,,,high,Dummy = 1 if address number ends with 4; printed name 'Unlucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Unlucky unit,other,other,dummy,binary,-0.014,0.018,,,,,,high,Dummy = 1 if unit number ends with 4; printed name 'Unlucky unit',"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Pearl River,water_proximity,E_environment,dummy,binary,0.107,0.02,,,***,,,high,Dummy = 1 if located near the Pearl River (favorable geomantic attribute),"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Orientation,sunlight,E_environment,dummy,binary,0.0,0.016,,,,,,high,Dummy = 1 if south-facing,"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Lucky floor,other,other,dummy,binary,0.001,0.022,,,,,,high,Dummy = 1 if unit on 8th/18th/28th/38th floor; printed name 'Lucky floor',"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,11,Lucky address,other,other,dummy,binary,0.031,0.021,,,,,,high,Dummy = 1 if address number ends with 8; printed name 'Lucky address',"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,12,Lucky unit,other,other,dummy,binary,-0.047,0.0031,,,,,,medium,Dummy = 1 if unit number ends with 8; printed name 'Lucky unit'; SE printed as (-0.0011)/(-0.0031): likely typo for 0.011/0.031 (implied |t| would be ~8-15 for an unstarred coefficient); recorded as printed,"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,12,Area,living_area,A_structural,level,100 m2,0.531,0.026,,,***,,,high,Ground floor area in units of 100 m2 (sample mean 1.041 = 104 m2),"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,12,Floor,floor_level,A_structural,level,count,0.001,0.001,,,,,,high,"Floor level of the unit (mean 13.8, max 47)","Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,12,Subway,transit_distance,D_location,dummy,binary,0.025,0.018,,,,,,high,Dummy = 1 if subway station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,12,Bus,transit_distance,D_location,dummy,binary,-0.005,0.02,,,,,,high,Dummy = 1 if bus station within 800 m,"Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,12,Log_Park,green_space,E_environment,log,m,-0.037,0.024,,,,,,high,"Log (base 10, inferred from descriptives) of distance to nearest park in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801,0d749c58da0b3282e774a34a3cbd378d57ba0801:T6-c4,6,4,12,Log_CBD,cbd_distance,D_location,log,m,0.02,0.02,,,,,,high,"Log (base 10, inferred from descriptives) of distance to nearest CBD in metres","Log_Price (log10 of transaction price, RMB)",log,OLS,216.0,0.873,se,Investment demand buyers subsample
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,net.area,living_area,A_structural,level,m2,0.004,0.0,13.863,0.0,***,,,high,"net surface area of the dwelling in m2; SE printed as 0.000 (rounded to 3 decimals), t=13.863",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,bedroom,bedrooms,A_structural,level,count,-0.013,0.015,-0.862,0.389,,,,high,number of bedrooms,ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,livingroom,other,other,level,count,-0.048,0.052,-0.916,0.36,,,,high,number of living rooms,ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,bath: more.than.one,bathrooms,A_structural,binary,binary,0.286,0.019,14.87,0.0,***,,,high,more than one bathroom (=1) vs one,ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,floor: ground.floor,floor_level,A_structural,dummy,binary,-0.212,0.02,-10.461,0.0,***,,,high,ground floor vs middle floors (reference),ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,floor: top.floor,floor_level,A_structural,dummy,binary,-0.073,0.019,-3.912,0.0,***,,,high,top floor vs middle floors (reference),ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,floor: basement.floor,floor_level,A_structural,dummy,binary,-0.447,0.024,-18.323,0.0,***,,,high,basement level vs middle floors (reference),ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,total.floor,storeys,A_structural,level,count,0.024,0.002,15.813,0.0,***,,,high,total number of floors in the building,ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,age,age,A_structural,level,years,-0.007,0.001,-9.138,0.0,***,,,high,age of the building in years,ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,carpark.indoor: yes,parking,A_structural,binary,binary,0.17,0.018,9.57,0.0,***,,,high,building has indoor parking (=1),ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,carpark.outdoor: yes,parking,A_structural,binary,binary,-0.035,0.015,-2.328,0.02,*,,,high,building has outdoor parking (=1),ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,gated.community: yes,other,other,binary,binary,-0.01,0.016,-0.663,0.507,,,,high,located in a gated community (=1),ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,num.views,view,E_environment,level,count,-0.007,0.008,-0.879,0.379,,,,high,"number of facade orientations/views (east, west, south, north)",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,dist.transportation,transit_distance,D_location,level,km,-0.015,0.01,-1.518,0.129,,,,high,"distance to closest transportation station, km",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,dist.school,school_distance,D_location,level,km,0.21,0.011,18.965,0.0,***,,,high,"distance to closest primary school, km",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,dist.mall,commercial_distance,D_location,level,km,-0.16,0.008,-19.614,0.0,***,,,high,"distance to closest shopping mall, km",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,dist.hospital,hospital_distance,D_location,level,km,-0.091,0.011,-8.619,0.0,***,,,high,"distance to closest hospital, km",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,dist.university,university_distance,D_location,level,km,-0.049,0.008,-6.395,0.0,***,,,high,"distance to closest university, km",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T3-ols,3,Coef.,4,dist.police,public_services,F_neighbourhood,level,km,0.06,0.007,8.394,0.0,***,,,high,"distance to closest police station, km",ln asking price (TRY),log,OLS,2784.0,0.6974,se,"Global OLS; SE, t and p in separate columns; adj R2 0.6953"
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,net.area,living_area,A_structural,level,m2,0.003,,,,,,,medium,"net surface area of the dwelling in m2; GWR median of local coefficients; min=-0.001, Q1=0.002, Q3=0.004, max=0.012; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,bedroom,bedrooms,A_structural,level,count,0.06,,,,,,,medium,"number of bedrooms; GWR median of local coefficients; min=-0.401, Q1=0.007, Q3=0.093, max=0.205; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,livingroom,other,other,level,count,0.039,,,,,,,medium,"number of living rooms; GWR median of local coefficients; min=-14.027, Q1=-0.14, Q3=0.184, max=0.969; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,bath: more.than.one,bathrooms,A_structural,binary,binary,0.147,,,,,,,medium,"more than one bathroom (=1) vs one; GWR median of local coefficients; min=-0.07, Q1=0.094, Q3=0.21, max=0.4; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,floor: ground.floor,floor_level,A_structural,dummy,binary,-0.271,,,,,,,medium,"ground floor vs middle floors (reference); GWR median of local coefficients; min=-0.472, Q1=-0.348, Q3=-0.205, max=0.225; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,floor: top.floor,floor_level,A_structural,dummy,binary,-0.073,,,,,,,medium,"top floor vs middle floors (reference); GWR median of local coefficients; min=-0.278, Q1=-0.105, Q3=-0.034, max=0.119; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,floor: basement.floor,floor_level,A_structural,dummy,binary,-0.481,,,,,,,medium,"basement level vs middle floors (reference); GWR median of local coefficients; min=-0.856, Q1=-0.566, Q3=-0.41, max=0.679; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,total.floor,storeys,A_structural,level,count,0.025,,,,,,,medium,"total number of floors in the building; GWR median of local coefficients; min=-0.023, Q1=0.018, Q3=0.031, max=0.053; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,age,age,A_structural,level,years,-0.011,,,,,,,medium,"age of the building in years; GWR median of local coefficients; min=-0.036, Q1=-0.016, Q3=-0.008, max=0.003; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,carpark.indoor: yes,parking,A_structural,binary,binary,0.071,,,,,,,medium,"building has indoor parking (=1); GWR median of local coefficients; min=-0.105, Q1=0.026, Q3=0.125, max=0.384; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,carpark.outdoor: yes,parking,A_structural,binary,binary,0.005,,,,,,,medium,"building has outdoor parking (=1); GWR median of local coefficients; min=-0.195, Q1=-0.019, Q3=0.036, max=0.175; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,gated.community: yes,other,other,binary,binary,-0.021,,,,,,,medium,"located in a gated community (=1); GWR median of local coefficients; min=-0.141, Q1=-0.047, Q3=0.009, max=0.112; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,num.views,view,E_environment,level,count,-0.002,,,,,,,medium,"number of facade orientations/views (east, west, south, north); GWR median of local coefficients; min=-0.069, Q1=-0.021, Q3=0.013, max=0.104; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,dist.transportation,transit_distance,D_location,level,km,-0.033,,,,,,,medium,"distance to closest transportation station, km; GWR median of local coefficients; min=-76.786, Q1=-0.141, Q3=0.068, max=2.473; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,dist.school,school_distance,D_location,level,km,0.083,,,,,,,medium,"distance to closest primary school, km; GWR median of local coefficients; min=-552.54, Q1=-0.112, Q3=0.262, max=3.246; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,dist.mall,commercial_distance,D_location,level,km,-0.096,,,,,,,medium,"distance to closest shopping mall, km; GWR median of local coefficients; min=-2.735, Q1=-0.208, Q3=-0.019, max=304.215; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,dist.hospital,hospital_distance,D_location,level,km,-0.056,,,,,,,medium,"distance to closest hospital, km; GWR median of local coefficients; min=-1.741, Q1=-0.139, Q3=0.054, max=409.446; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,dist.university,university_distance,D_location,level,km,-0.021,,,,,,,medium,"distance to closest university, km; GWR median of local coefficients; min=-2.022, Q1=-0.158, Q3=0.068, max=38.315; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr1,5,GWR 1 (CV approach) Median,6,dist.police,public_services,F_neighbourhood,level,km,-0.007,,,,,,,medium,"distance to closest police station, km; GWR median of local coefficients; min=-170.9, Q1=-0.103, Q3=0.089, max=3.612; no SE",ln asking price (TRY),log,GWR,2784.0,0.9,none,GWR adaptive bandwidth 45 (CV); median of local coefficients; adj R2 0.866
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,net.area,living_area,A_structural,level,m2,0.003,,,,,,,medium,"net surface area of the dwelling in m2; GWR median of local coefficients; min=0.0, Q1=0.002, Q3=0.004, max=0.009; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,bedroom,bedrooms,A_structural,level,count,0.053,,,,,,,medium,"number of bedrooms; GWR median of local coefficients; min=-0.234, Q1=0.005, Q3=0.094, max=0.192; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,livingroom,other,other,level,count,0.04,,,,,,,medium,"number of living rooms; GWR median of local coefficients; min=-0.999, Q1=-0.111, Q3=0.165, max=0.431; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,bath: more.than.one,bathrooms,A_structural,binary,binary,0.155,,,,,,,medium,"more than one bathroom (=1) vs one; GWR median of local coefficients; min=-0.027, Q1=0.104, Q3=0.207, max=0.396; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,floor: ground.floor,floor_level,A_structural,dummy,binary,-0.27,,,,,,,medium,"ground floor vs middle floors (reference); GWR median of local coefficients; min=-0.444, Q1=-0.347, Q3=-0.209, max=0.093; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,floor: top.floor,floor_level,A_structural,dummy,binary,-0.075,,,,,,,medium,"top floor vs middle floors (reference); GWR median of local coefficients; min=-0.199, Q1=-0.106, Q3=-0.04, max=0.06; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,floor: basement.floor,floor_level,A_structural,dummy,binary,-0.476,,,,,,,medium,"basement level vs middle floors (reference); GWR median of local coefficients; min=-0.774, Q1=-0.564, Q3=-0.413, max=-0.097; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,total.floor,storeys,A_structural,level,count,0.025,,,,,,,medium,"total number of floors in the building; GWR median of local coefficients; min=-0.005, Q1=0.02, Q3=0.03, max=0.05; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,age,age,A_structural,level,years,-0.011,,,,,,,medium,"age of the building in years; GWR median of local coefficients; min=-0.034, Q1=-0.015, Q3=-0.008, max=0.002; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,carpark.indoor: yes,parking,A_structural,binary,binary,0.075,,,,,,,medium,"building has indoor parking (=1); GWR median of local coefficients; min=-0.068, Q1=0.035, Q3=0.123, max=0.36; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,carpark.outdoor: yes,parking,A_structural,binary,binary,0.004,,,,,,,medium,"building has outdoor parking (=1); GWR median of local coefficients; min=-0.177, Q1=-0.016, Q3=0.032, max=0.137; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,gated.community: yes,other,other,binary,binary,-0.019,,,,,,,medium,"located in a gated community (=1); GWR median of local coefficients; min=-0.096, Q1=-0.043, Q3=0.006, max=0.052; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,num.views,view,E_environment,level,count,-0.002,,,,,,,medium,"number of facade orientations/views (east, west, south, north); GWR median of local coefficients; min=-0.061, Q1=-0.019, Q3=0.012, max=0.058; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,dist.transportation,transit_distance,D_location,level,km,-0.02,,,,,,,medium,"distance to closest transportation station, km; GWR median of local coefficients; min=-1.223, Q1=-0.109, Q3=0.07, max=1.89; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,dist.school,school_distance,D_location,level,km,0.127,,,,,,,medium,"distance to closest primary school, km; GWR median of local coefficients; min=-1.42, Q1=-0.076, Q3=0.301, max=2.545; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,dist.mall,commercial_distance,D_location,level,km,-0.118,,,,,,,medium,"distance to closest shopping mall, km; GWR median of local coefficients; min=-2.14, Q1=-0.213, Q3=-0.045, max=1.43; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,dist.hospital,hospital_distance,D_location,level,km,-0.071,,,,,,,medium,"distance to closest hospital, km; GWR median of local coefficients; min=-1.448, Q1=-0.138, Q3=0.014, max=0.85; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,dist.university,university_distance,D_location,level,km,-0.024,,,,,,,medium,"distance to closest university, km; GWR median of local coefficients; min=-1.666, Q1=-0.135, Q3=0.055, max=3.673; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211,0d7a1f874f9358489f6f5882b5a4900f21774211:T5-gwr2,5,GWR 2 (AIC approach) Median,6,dist.police,public_services,F_neighbourhood,level,km,-0.013,,,,,,,medium,"distance to closest police station, km; GWR median of local coefficients; min=-5.637, Q1=-0.084, Q3=0.074, max=1.923; no SE",ln asking price (TRY),log,GWR,2784.0,0.889,none,GWR adaptive bandwidth 59 (AIC); median of local coefficients; adj R2 0.860
0e568775e77ac2d90b96f6f8ecad954135ed43b0,0e568775e77ac2d90b96f6f8ecad954135ed43b0,0e568775e77ac2d90b96f6f8ecad954135ed43b0:T4-c1,4,1,7,log(Size),living_area,A_structural,log,m2,0.73296,0.03107,,,***,,,high,"floor area in square metres, log","listing price (ZAR), gamma GLM with log link",other,other,1314.0,,se,
0e568775e77ac2d90b96f6f8ecad954135ed43b0,0e568775e77ac2d90b96f6f8ecad954135ed43b0,0e568775e77ac2d90b96f6f8ecad954135ed43b0:T4-c1,4,1,7,NumBaths,bathrooms,A_structural,level,count,0.20298,0.01878,,,***,,,high,,"listing price (ZAR), gamma GLM with log link",other,other,1314.0,,se,
0e568775e77ac2d90b96f6f8ecad954135ed43b0,0e568775e77ac2d90b96f6f8ecad954135ed43b0,0e568775e77ac2d90b96f6f8ecad954135ed43b0:T4-c1,4,1,7,NumBeds,bedrooms,A_structural,level,count,0.03851,0.0183,,,*,,,high,,"listing price (ZAR), gamma GLM with log link",other,other,1314.0,,se,
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Property size,living_area,A_structural,level,m2,-0.003,0.001,,,***,,,high,Total weighted area of dwelling incl. garage (m2); dep var is price per m2,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Property size,living_area,A_structural,level,m2,-0.003,0.001,,,***,,,high,Total weighted area of dwelling incl. garage (m2); dep var is price per m2,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,EPC ABCD,energy_efficiency,A_structural,dummy,binary,0.324,0.0764,,,**,,,high,EPC class A4-D vs reference G,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,EPC ABCD,energy_efficiency,A_structural,dummy,binary,0.337,0.074,,,***,,,high,EPC class A4-D vs reference G,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,EPC E,energy_efficiency,A_structural,dummy,binary,0.226,0.0706,,,**,,,high,EPC class E vs reference G,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,EPC E,energy_efficiency,A_structural,dummy,binary,0.233,0.069,,,***,,,high,EPC class E vs reference G,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,EPC F,energy_efficiency,A_structural,dummy,binary,0.202,0.058,,,***,,,high,EPC class F vs reference G,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,EPC F,energy_efficiency,A_structural,dummy,binary,0.205,0.057,,,***,,,high,EPC class F vs reference G,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Building age,age,A_structural,level,years,-0.011,0.001,,,***,,,high,Age = 2024 minus construction year; quadratic term also included,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Building age,age,A_structural,level,years,-0.012,0.001,,,***,,,high,Age = 2024 minus construction year; quadratic term also included,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Building age (^2),age,A_structural,squared,years,0.0,0.0,,,***,,,medium,Quadratic term printed as 0.000*** (SE printed 0.000); rounding hides magnitude,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Building age (^2),age,A_structural,squared,years,0.0,0.0,,,***,,,medium,Quadratic term printed as 0.000*** (SE printed 0.000); rounding hides magnitude,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,House,dwelling_type,A_structural,dummy,binary,-0.104,0.107,,,,,,high,House vs reference apartment,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,House,dwelling_type,A_structural,dummy,binary,-0.087,0.104,,,,,,high,House vs reference apartment,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Portion of the house,dwelling_type,A_structural,dummy,binary,-0.21,0.052,,,***,,,high,Portion of house vs reference apartment,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Portion of the house,dwelling_type,A_structural,dummy,binary,-0.2,0.051,,,***,,,high,Portion of house vs reference apartment,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Bathrooms,bathrooms,A_structural,level,count,0.165,0.055,,,**,,,high,,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Bathrooms,bathrooms,A_structural,level,count,0.157,0.054,,,**,,,high,,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Mediation,other,other,dummy,binary,0.121,0.044,,,**,,,high,Printed name Mediation: sale mediated by real estate agency = 1,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Mediation,other,other,dummy,binary,0.119,0.042,,,**,,,high,Printed name Mediation: sale mediated by real estate agency = 1,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Number of hotels,neighbourhood_amenities,F_neighbourhood,level,count,0.046,0.02,,,*,,,high,Number of hotels within 250 m buffer,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Number of hotels,neighbourhood_amenities,F_neighbourhood,level,count,0.049,0.019,,,*,,,high,Number of hotels within 250 m buffer,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Forest cover (250 m radius),green_space,E_environment,level,share,-0.004,0.001,,,***,,,high,Percentage of 250 m buffer area covered by forest (unit: percentage points),log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Forest cover (250 m radius),green_space,E_environment,level,share,-0.003,0.001,,,**,,,high,Percentage of 250 m buffer area covered by forest (unit: percentage points),log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Log of distance to the ski lift,other,other,log,m,-0.053,0.029,,,,,,high,Printed name: log of distance to nearest ski lift (metres),log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Log of distance to the ski lift,other,other,log,m,-0.027,0.029,,,,,,high,Printed name: log of distance to nearest ski lift (metres),log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Log of distance to primary road,highway_distance,D_location,log,m,0.059,0.016,,,***,,,high,Log of distance to nearest primary road (metres),log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Log of distance to primary road,highway_distance,D_location,log,m,0.053,0.016,,,***,,,high,Log of distance to nearest primary road (metres),log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Winter temperature,urban_heat,E_environment,level,degrees_C,-0.136,0.031,,,***,,,high,"Mean DJF air temperature 2018-2022 (degrees C), with quadratic term",log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Winter temperature,urban_heat,E_environment,level,degrees_C,-0.088,0.032,,,**,,,high,"Mean DJF air temperature 2018-2022 (degrees C), with quadratic term",log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-OLS,2,OLS,10,Winter temperature (^2),urban_heat,E_environment,squared,degrees_C,-0.032,0.011,,,**,,,high,Quadratic term of winter temperature,log of transaction price per m2,per_m2,OLS,447.0,0.606,se,Full sample; dep var log(price/m2)
0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679,0e8221fad5dffd447b52c9be164621765eb67679:T2-SAR,2,SAR,10,Winter temperature (^2),urban_heat,E_environment,squared,degrees_C,-0.023,0.011,,,*,,,high,Quadratic term of winter temperature,log of transaction price per m2,per_m2,spatial_lag,447.0,0.615,se,Full sample; pseudo R2; spatial lag rho=0.39 (SE 0.115)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,TTBellecour,cbd_distance,D_location,log,"minutes (travel time by car to Bellecour, morning peak)",-0.224,,,0.001,,,,high,travel time by car to Bellecour (central Lyon public-transport junction); log; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,TTBellecour,cbd_distance,D_location,log,"minutes (travel time by car to Bellecour, morning peak)",-0.093,,,0.001,,,,high,travel time by car to Bellecour (central Lyon public-transport junction); log; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,TTBellecour,cbd_distance,D_location,log,"minutes (travel time by car to Bellecour, morning peak)",-0.176,,,0.001,,,,high,travel time by car to Bellecour (central Lyon public-transport junction); log; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,TTBellecour,cbd_distance,D_location,log,"minutes (travel time by car to Bellecour, morning peak)",-0.136,,,,,,,high,travel time by car to Bellecour (central Lyon public-transport junction); log; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Area,living_area,A_structural,log,m2,0.932,,,0.001,,,,high,p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Area,living_area,A_structural,log,m2,0.69,,,0.001,,,,high,p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Area,living_area,A_structural,log,m2,0.383,,,0.001,,,,high,p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Area,living_area,A_structural,log,m2,0.937,,,,,,,high,mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Bath2,bathrooms,A_structural,dummy,binary (2 bathrooms vs 1),0.094,,,0.001,,,,high,reference Bath1; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Bath2,bathrooms,A_structural,dummy,binary (2 bathrooms vs 1),0.046,,,0.001,,,,high,reference Bath1,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Bath2,bathrooms,A_structural,dummy,binary (2 bathrooms vs 1),0.053,,,0.78,,,,high,reference Bath1,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Bath2,bathrooms,A_structural,dummy,binary (2 bathrooms vs 1),0.081,,,,,,,high,reference Bath1; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,ParkUn,parking,A_structural,dummy,binary,0.092,,,0.001,,,,high,dummy for no data about parking places; reference Park0; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,ParkUn,parking,A_structural,dummy,binary,0.016,,,0.48,,,,high,dummy for no data about parking places; reference Park0,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,ParkUn,parking,A_structural,dummy,binary,0.043,,,0.09,,,,high,dummy for no data about parking places; reference Park0,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,ParkUn,parking,A_structural,dummy,binary,0.043,,,,,,,high,dummy for no data about parking places; reference Park0; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Park1,parking,A_structural,dummy,binary (1 parking place vs 0),0.154,,,0.001,,,,high,reference Park0; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Park1,parking,A_structural,dummy,binary (1 parking place vs 0),0.039,,,0.2,,,,high,reference Park0,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Park1,parking,A_structural,dummy,binary (1 parking place vs 0),0.09,,,0.001,,,,high,reference Park0,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Park1,parking,A_structural,dummy,binary (1 parking place vs 0),0.099,,,,,,,high,reference Park0; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Park2,parking,A_structural,dummy,binary (2 parking places vs 0),0.193,,,0.001,,,,high,reference Park0; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Park2,parking,A_structural,dummy,binary (2 parking places vs 0),0.08,,,0.01,,,,high,reference Park0,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Park2,parking,A_structural,dummy,binary (2 parking places vs 0),0.067,,,0.58,,,,high,reference Park0,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Park2,parking,A_structural,dummy,binary (2 parking places vs 0),0.139,,,,,,,high,reference Park0; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Floor1,floor_level,A_structural,dummy,binary (storey 1 vs ground floor),0.067,,,0.001,,,,high,reference FloorGr; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Floor1,floor_level,A_structural,dummy,binary (storey 1 vs ground floor),0.027,,,0.36,,,,high,reference FloorGr,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Floor1,floor_level,A_structural,dummy,binary (storey 1 vs ground floor),0.078,,,0.01,,,,high,reference FloorGr,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Floor1,floor_level,A_structural,dummy,binary (storey 1 vs ground floor),0.072,,,,,,,high,reference FloorGr; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Floor2_4,floor_level,A_structural,dummy,binary (storeys 2-4 vs ground floor),0.104,,,0.001,,,,high,reference FloorGr; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Floor2_4,floor_level,A_structural,dummy,binary (storeys 2-4 vs ground floor),0.038,,,0.16,,,,high,reference FloorGr,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Floor2_4,floor_level,A_structural,dummy,binary (storeys 2-4 vs ground floor),0.103,,,0.001,,,,high,reference FloorGr; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Floor2_4,floor_level,A_structural,dummy,binary (storeys 2-4 vs ground floor),0.118,,,,,,,high,reference FloorGr; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Floor5_8,floor_level,A_structural,dummy,binary (storeys 5-8 vs ground floor),0.133,,,0.001,,,,high,reference FloorGr; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Floor5_8,floor_level,A_structural,dummy,binary (storeys 5-8 vs ground floor),0.073,,,0.01,,,,high,reference FloorGr,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Floor5_8,floor_level,A_structural,dummy,binary (storeys 5-8 vs ground floor),0.134,,,0.001,,,,high,reference FloorGr; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Floor5_8,floor_level,A_structural,dummy,binary (storeys 5-8 vs ground floor),0.147,,,,,,,high,reference FloorGr; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Floor9+,floor_level,A_structural,dummy,binary (storey 9+ vs ground floor),0.132,,,0.001,,,,high,reference FloorGr; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Floor9+,floor_level,A_structural,dummy,binary (storey 9+ vs ground floor),0.166,,,0.002,,,,high,reference FloorGr,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Floor9+,floor_level,A_structural,dummy,binary (storey 9+ vs ground floor),0.194,,,0.01,,,,high,reference FloorGr,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Floor9+,floor_level,A_structural,dummy,binary (storey 9+ vs ground floor),0.165,,,,,,,high,reference FloorGr; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Constr1850_1913,age,A_structural,dummy,binary (construction period 1850-1913),-0.092,,,0.001,,,,high,"construction-period dummy, not age; reference Constr1981_1991; p printed as <0.001 (upper bound)",log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Constr1850_1913,age,A_structural,dummy,binary (construction period 1850-1913),0.042,,,0.18,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Constr1850_1913,age,A_structural,dummy,binary (construction period 1850-1913),-0.119,,,0.01,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Constr1850_1913,age,A_structural,dummy,binary (construction period 1850-1913),-0.083,,,,,,,high,"construction-period dummy, not age; reference Constr1981_1991; mean of local GWR coefficients",log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Constr1914_1947,age,A_structural,dummy,binary (construction period 1914-1947),-0.082,,,0.001,,,,high,"construction-period dummy, not age; reference Constr1981_1991; p printed as <0.001 (upper bound)",log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Constr1914_1947,age,A_structural,dummy,binary (construction period 1914-1947),0.112,,,0.001,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Constr1914_1947,age,A_structural,dummy,binary (construction period 1914-1947),-0.11,,,0.01,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Constr1914_1947,age,A_structural,dummy,binary (construction period 1914-1947),-0.062,,,,,,,high,"construction-period dummy, not age; reference Constr1981_1991; mean of local GWR coefficients",log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Constr1948_1969,age,A_structural,dummy,binary (construction period 1948-1969),-0.153,,,0.001,,,,high,"construction-period dummy, not age; reference Constr1981_1991; p printed as <0.001 (upper bound)",log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Constr1948_1969,age,A_structural,dummy,binary (construction period 1948-1969),0.008,,,0.73,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Constr1948_1969,age,A_structural,dummy,binary (construction period 1948-1969),-0.122,,,0.002,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Constr1948_1969,age,A_structural,dummy,binary (construction period 1948-1969),-0.119,,,,,,,high,"construction-period dummy, not age; reference Constr1981_1991; mean of local GWR coefficients",log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Constr1970_1980,age,A_structural,dummy,binary (construction period 1970-1980),-0.123,,,0.001,,,,high,"construction-period dummy, not age; reference Constr1981_1991; p printed as <0.001 (upper bound)",log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Constr1970_1980,age,A_structural,dummy,binary (construction period 1970-1980),-0.005,,,0.83,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Constr1970_1980,age,A_structural,dummy,binary (construction period 1970-1980),-0.088,,,0.03,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Constr1970_1980,age,A_structural,dummy,binary (construction period 1970-1980),-0.083,,,,,,,high,"construction-period dummy, not age; reference Constr1981_1991; mean of local GWR coefficients",log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Constr1992<,age,A_structural,dummy,binary (constructed 1992 or later),0.099,,,0.001,,,,high,"construction-period dummy, not age; reference Constr1981_1991; p printed as <0.001 (upper bound)",log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Constr1992<,age,A_structural,dummy,binary (constructed 1992 or later),0.099,,,0.001,,,,high,"construction-period dummy, not age; reference Constr1981_1991; p printed as <0.001 (upper bound)",log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Constr1992<,age,A_structural,dummy,binary (constructed 1992 or later),-0.085,,,0.12,,,,high,"construction-period dummy, not age; reference Constr1981_1991",log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Constr1992<,age,A_structural,dummy,binary (constructed 1992 or later),0.104,,,,,,,high,"construction-period dummy, not age; reference Constr1981_1991; mean of local GWR coefficients",log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,CondMed,condition,A_structural,dummy,binary (some maintenance needed vs good),-0.109,,,0.001,,,,high,reference CondGood; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,CondMed,condition,A_structural,dummy,binary (some maintenance needed vs good),0.009,,,0.63,,,,high,reference CondGood,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,CondMed,condition,A_structural,dummy,binary (some maintenance needed vs good),-0.072,,,0.001,,,,high,reference CondGood,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,CondMed,condition,A_structural,dummy,binary (some maintenance needed vs good),-0.107,,,,,,,high,reference CondGood; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,CondBad,condition,A_structural,dummy,binary (renovation needed vs good),-0.215,,,0.001,,,,high,reference CondGood; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,CondBad,condition,A_structural,dummy,binary (renovation needed vs good),-0.092,,,0.04,,,,high,reference CondGood,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,CondBad,condition,A_structural,dummy,binary (renovation needed vs good),-0.197,,,0.001,,,,high,reference CondGood; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,CondBad,condition,A_structural,dummy,binary (renovation needed vs good),-0.225,,,,,,,high,reference CondGood; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,ViewNo,view,E_environment,dummy,binary (no data about view vs good view),-0.04,,,0.001,,,,high,missing-data dummy; reference ViewGood; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,ViewNo,view,E_environment,dummy,binary (no data about view vs good view),-0.027,,,0.03,,,,high,missing-data dummy; reference ViewGood,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,ViewNo,view,E_environment,dummy,binary (no data about view vs good view),-0.017,,,0.37,,,,high,missing-data dummy; reference ViewGood,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,ViewNo,view,E_environment,dummy,binary (no data about view vs good view),-0.035,,,,,,,high,missing-data dummy; reference ViewGood; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,ViewBad,view,E_environment,dummy,binary (view decreasing value vs good view),-0.098,,,0.001,,,,high,reference ViewGood,log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,ViewBad,view,E_environment,dummy,binary (view decreasing value vs good view),0.0,,,0.99,,,,low,"reference ViewGood; coefficient printed as <0.001 (recorded as 0.0, not usable)",log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,ViewBad,view,E_environment,dummy,binary (view decreasing value vs good view),-0.002,,,0.96,,,,high,reference ViewGood,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,ViewBad,view,E_environment,dummy,binary (view decreasing value vs good view),-0.083,,,,,,,high,reference ViewGood; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Cellar1,basement,A_structural,dummy,binary (1 cellar vs 0),0.099,,,0.001,,,,high,reference Cellar0,log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Cellar1,basement,A_structural,dummy,binary (1 cellar vs 0),-0.002,,,0.88,,,,high,reference Cellar0,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Cellar1,basement,A_structural,dummy,binary (1 cellar vs 0),0.092,,,0.001,,,,high,reference Cellar0; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Cellar1,basement,A_structural,dummy,binary (1 cellar vs 0),0.076,,,,,,,high,reference Cellar0; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Cellar2,basement,A_structural,dummy,binary (2 cellars vs 0),0.032,,,0.001,,,,high,reference Cellar0,log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Cellar2,basement,A_structural,dummy,binary (2 cellars vs 0),0.001,,,0.98,,,,high,reference Cellar0,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Cellar2,basement,A_structural,dummy,binary (2 cellars vs 0),0.021,,,0.84,,,,high,reference Cellar0,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Cellar2,basement,A_structural,dummy,binary (2 cellars vs 0),-0.005,,,,,,,high,reference Cellar0; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Garden,garden,C_exterior,binary,binary,0.049,,,0.02,,,,high,,log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Garden,garden,C_exterior,binary,binary,-0.011,,,0.73,,,,high,,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Garden,garden,C_exterior,binary,binary,0.101,,,0.16,,,,high,,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Garden,garden,C_exterior,binary,binary,0.046,,,,,,,high,mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,Terrace,terrace_balcony,C_exterior,binary,binary,0.043,,,0.01,,,,high,,log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,Terrace,terrace_balcony,C_exterior,binary,binary,0.049,,,0.01,,,,high,,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,Terrace,terrace_balcony,C_exterior,binary,binary,0.037,,,0.69,,,,high,,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,Terrace,terrace_balcony,C_exterior,binary,binary,0.041,,,,,,,high,mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,NewApartment,age,A_structural,dummy,binary (new apartment sold on primary market),0.046,,,0.01,,,,high,"new-build indicator, not age in years",log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,NewApartment,age,A_structural,dummy,binary (new apartment sold on primary market),-0.067,,,0.001,,,,high,"new-build indicator, not age in years",log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,NewApartment,age,A_structural,dummy,binary (new apartment sold on primary market),0.256,,,0.001,,,,high,"new-build indicator, not age in years; p printed as <0.001 (upper bound)",log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,NewApartment,age,A_structural,dummy,binary (new apartment sold on primary market),0.047,,,,,,,high,"new-build indicator, not age in years; mean of local GWR coefficients",log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,%MidIncome,income,F_neighbourhood,log,"share (% of middle-income households in IRIS zone), log",0.671,,,0.001,,,,high,log of percentage of middle-income households; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,%MidIncome,income,F_neighbourhood,log,"share (% of middle-income households in IRIS zone), log",0.313,,,0.05,,,,high,log of percentage of middle-income households,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,%MidIncome,income,F_neighbourhood,log,"share (% of middle-income households in IRIS zone), log",0.558,,,0.01,,,,high,log of percentage of middle-income households,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,%MidIncome,income,F_neighbourhood,log,"share (% of middle-income households in IRIS zone), log",0.77,,,,,,,high,log of percentage of middle-income households; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-overall,Appendix 2,Overall,14,%HighIncome,income,F_neighbourhood,log,"share (% of high-income households in IRIS zone), log",0.136,,,0.001,,,,high,log of percentage of high-income households; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,0.838,p,Overall sample; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-expensive,Appendix 2,Expensive,14,%HighIncome,income,F_neighbourhood,log,"share (% of high-income households in IRIS zone), log",0.097,,,,,,,high,log of percentage of high-income households; no significance level printed for this cell,log transaction price (Euro),log,OLS,873.0,0.839,p,20% most expensive apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-OLS-cheap,Appendix 2,Cheap,14,%HighIncome,income,F_neighbourhood,log,"share (% of high-income households in IRIS zone), log",0.029,,,0.61,,,,high,log of percentage of high-income households,log transaction price (Euro),log,OLS,872.0,0.705,p,20% cheapest apartments; model with TTBellecour by car
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A2-GWR-overall,Appendix 2,GWR,14,%HighIncome,income,F_neighbourhood,log,"share (% of high-income households in IRIS zone), log",0.028,,,,,,,high,log of percentage of high-income households; mean of local GWR coefficients,log transaction price (Euro),log,GWR,4362.0,0.875,none,"Average of local GWR estimates over all 4,362 observations; no significance reported in Appendix 2; model with TTBellecour by car"
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-overall-2,4,Overall / TTCityHall by car,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.278,,,0.001,,,,high,TTCityHall by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,,p,Overall sample; variant with TTCityHall by car as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.85; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-overall-3,4,Overall / Centrality Index by car,10,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.0085,,,0.001,,,,high,Centrality Index by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,,p,Overall sample; variant with Centrality Index by car as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.85; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-overall-4,4,Overall / Accessibility Index by car,10,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.0051,,,0.001,,,,high,Accessibility Index by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,,p,Overall sample; variant with Accessibility Index by car as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.85; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-overall-5,4,Overall / TTBellecour by public transport,10,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.223,,,0.001,,,,high,TTBellecour by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,,p,Overall sample; variant with TTBellecour by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.85; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-overall-6,4,Overall / TTCityHall by public transport,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.228,,,0.001,,,,high,TTCityHall by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,,p,Overall sample; variant with TTCityHall by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.85; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-overall-7,4,Overall / Centrality Index by public transport,10,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.0078,,,0.001,,,,high,Centrality Index by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,,p,Overall sample; variant with Centrality Index by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.85; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-overall-8,4,Overall / Accessibility Index by public transport,10,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.0049,,,0.001,,,,high,Accessibility Index by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,4362.0,,p,Overall sample; variant with Accessibility Index by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.85; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-expensive-2,4,Expensive / TTCityHall by car,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.129,,,0.001,,,,high,TTCityHall by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,,p,Expensive sample; variant with TTCityHall by car as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.86; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-expensive-3,4,Expensive / Centrality Index by car,10,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.0042,,,0.001,,,,high,Centrality Index by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,,p,Expensive sample; variant with Centrality Index by car as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.86; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-expensive-4,4,Expensive / Accessibility Index by car,10,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.0024,,,0.001,,,,high,Accessibility Index by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,,p,Expensive sample; variant with Accessibility Index by car as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.86; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-expensive-5,4,Expensive / TTBellecour by public transport,10,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.062,,,0.001,,,,high,TTBellecour by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,,p,Expensive sample; variant with TTBellecour by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.86; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-expensive-6,4,Expensive / TTCityHall by public transport,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.083,,,0.001,,,,high,TTCityHall by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,,p,Expensive sample; variant with TTCityHall by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.86; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-expensive-7,4,Expensive / Centrality Index by public transport,10,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.0028,,,0.001,,,,high,Centrality Index by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,873.0,,p,Expensive sample; variant with Centrality Index by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.86; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-expensive-8,4,Expensive / Accessibility Index by public transport,10,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.0011,,,0.017,,,,high,Accessibility Index by public transport; same specification as Appendix 2 with this accessibility measure,log transaction price (Euro),log,OLS,873.0,,p,Expensive sample; variant with Accessibility Index by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.84-0.86; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-cheap-2,4,Cheap / TTCityHall by car,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.217,,,0.001,,,,high,TTCityHall by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,,p,Cheap sample; variant with TTCityHall by car as the accessibility measure; adj. R2 range across the 8 variants 0.70-0.72; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-cheap-3,4,Cheap / Centrality Index by car,10,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.0069,,,0.001,,,,high,Centrality Index by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,,p,Cheap sample; variant with Centrality Index by car as the accessibility measure; adj. R2 range across the 8 variants 0.70-0.72; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-cheap-4,4,Cheap / Accessibility Index by car,10,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.0043,,,0.001,,,,high,Accessibility Index by car; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,,p,Cheap sample; variant with Accessibility Index by car as the accessibility measure; adj. R2 range across the 8 variants 0.70-0.72; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-cheap-5,4,Cheap / TTBellecour by public transport,10,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.173,,,0.001,,,,high,TTBellecour by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,,p,Cheap sample; variant with TTBellecour by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.70-0.72; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-cheap-6,4,Cheap / TTCityHall by public transport,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.157,,,0.001,,,,high,TTCityHall by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,,p,Cheap sample; variant with TTCityHall by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.70-0.72; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-cheap-7,4,Cheap / Centrality Index by public transport,10,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.006,,,0.001,,,,high,Centrality Index by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,,p,Cheap sample; variant with Centrality Index by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.70-0.72; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-OLS-cheap-8,4,Cheap / Accessibility Index by public transport,10,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.0038,,,0.001,,,,high,Accessibility Index by public transport; same specification as Appendix 2 with this accessibility measure; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,872.0,,p,Cheap sample; variant with Accessibility Index by public transport as the accessibility measure; adj. R2 range across the 8 variants 0.70-0.72; full covariate set as Appendix 2
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-GWR-overall-2,4,GWR overall average / TTCityHall by car,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.235,,,,,,,high,"TTCityHall by car; mean of local GWR coefficients, no inference",log transaction price (Euro),log,GWR,4362.0,,none,Average of local GWR estimates over all observations; variant with TTCityHall by car; R2 range 0.87-0.88; parentheses in table give share of observations significant at 5% (not extracted)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-GWR-overall-3,4,GWR overall average / Centrality Index by car,10,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.0071,,,,,,,high,"Centrality Index by car; mean of local GWR coefficients, no inference",log transaction price (Euro),log,GWR,4362.0,,none,Average of local GWR estimates over all observations; variant with Centrality Index by car; R2 range 0.87-0.88; parentheses in table give share of observations significant at 5% (not extracted)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-GWR-overall-4,4,GWR overall average / Accessibility Index by car,10,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.0049,,,,,,,high,"Accessibility Index by car; mean of local GWR coefficients, no inference",log transaction price (Euro),log,GWR,4362.0,,none,Average of local GWR estimates over all observations; variant with Accessibility Index by car; R2 range 0.87-0.88; parentheses in table give share of observations significant at 5% (not extracted)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-GWR-overall-5,4,GWR overall average / TTBellecour by public transport,10,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.151,,,,,,,high,"TTBellecour by public transport; mean of local GWR coefficients, no inference",log transaction price (Euro),log,GWR,4362.0,,none,Average of local GWR estimates over all observations; variant with TTBellecour by public transport; R2 range 0.87-0.88; parentheses in table give share of observations significant at 5% (not extracted)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-GWR-overall-6,4,GWR overall average / TTCityHall by public transport,10,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.159,,,,,,,high,"TTCityHall by public transport; mean of local GWR coefficients, no inference",log transaction price (Euro),log,GWR,4362.0,,none,Average of local GWR estimates over all observations; variant with TTCityHall by public transport; R2 range 0.87-0.88; parentheses in table give share of observations significant at 5% (not extracted)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-GWR-overall-7,4,GWR overall average / Centrality Index by public transport,10,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.0052,,,,,,,high,"Centrality Index by public transport; mean of local GWR coefficients, no inference",log transaction price (Euro),log,GWR,4362.0,,none,Average of local GWR estimates over all observations; variant with Centrality Index by public transport; R2 range 0.87-0.88; parentheses in table give share of observations significant at 5% (not extracted)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:T4-GWR-overall-8,4,GWR overall average / Accessibility Index by public transport,10,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.004,,,,,,,high,"Accessibility Index by public transport; mean of local GWR coefficients, no inference",log transaction price (Euro),log,GWR,4362.0,,none,Average of local GWR estimates over all observations; variant with Accessibility Index by public transport; R2 range 0.87-0.88; parentheses in table give share of observations significant at 5% (not extracted)
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-1,Appendix 3,OLS / Sainte-Foy-les-Lyon / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),-0.525,,,0.02,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with TTBellecour by car; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-2,Appendix 3,OLS / Sainte-Foy-les-Lyon / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.381,,,0.11,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with TTCityHall by car; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-3,Appendix 3,OLS / Sainte-Foy-les-Lyon / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.022,,,0.12,,,,high,Centrality Index by car; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with Centrality Index by car; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-4,Appendix 3,OLS / Sainte-Foy-les-Lyon / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.006,,,0.06,,,,high,Accessibility Index by car; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with Accessibility Index by car; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-5,Appendix 3,OLS / Sainte-Foy-les-Lyon / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.304,,,0.05,,,,high,TTBellecour by public transport; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with TTBellecour by public transport; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-6,Appendix 3,OLS / Sainte-Foy-les-Lyon / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.203,,,0.21,,,,high,TTCityHall by public transport; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with TTCityHall by public transport; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-7,Appendix 3,OLS / Sainte-Foy-les-Lyon / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.013,,,0.19,,,,high,Centrality Index by public transport; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with Centrality Index by public transport; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-SFL-8,Appendix 3,OLS / Sainte-Foy-les-Lyon / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.003,,,0.13,,,,high,Accessibility Index by public transport; submarket model,log transaction price (Euro),log,OLS,84.0,,p,Sainte-Foy-les-Lyon submarket; OLS model with Accessibility Index by public transport; R2 (adj. for OLS) 0.83-0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-1,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),-0.599,,,0.01,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with TTBellecour by car; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-2,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.427,,,0.1,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with TTCityHall by car; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-3,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.027,,,0.1,,,,high,Centrality Index by car; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with Centrality Index by car; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-4,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.007,,,0.05,,,,high,Accessibility Index by car; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with Accessibility Index by car; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-5,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.486,,,0.01,,,,high,TTBellecour by public transport; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with TTBellecour by public transport; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-6,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.268,,,0.17,,,,high,TTCityHall by public transport; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with TTCityHall by public transport; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-7,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.021,,,0.1,,,,high,Centrality Index by public transport; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with Centrality Index by public transport; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-SFL-8,Appendix 3,spatial_error / Sainte-Foy-les-Lyon / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.005,,,0.07,,,,high,Accessibility Index by public transport; submarket model,log transaction price (Euro),log,spatial_error,84.0,,p,Sainte-Foy-les-Lyon submarket; spatial_error model with Accessibility Index by public transport; R2 (adj. for OLS) 0.88; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-1,Appendix 3,OLS / Oullins / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),0.098,,,0.62,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with TTBellecour by car; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-2,Appendix 3,OLS / Oullins / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),0.306,,,0.25,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with TTCityHall by car; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-3,Appendix 3,OLS / Oullins / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",-0.008,,,0.39,,,,high,Centrality Index by car; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with Centrality Index by car; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-4,Appendix 3,OLS / Oullins / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",-0.003,,,0.33,,,,high,Accessibility Index by car; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with Accessibility Index by car; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-5,Appendix 3,OLS / Oullins / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),0.307,,,0.18,,,,high,TTBellecour by public transport; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with TTBellecour by public transport; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-6,Appendix 3,OLS / Oullins / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),0.396,,,0.03,,,,high,TTCityHall by public transport; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with TTCityHall by public transport; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-7,Appendix 3,OLS / Oullins / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",-0.02,,,0.08,,,,high,Centrality Index by public transport; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with Centrality Index by public transport; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-OUL-8,Appendix 3,OLS / Oullins / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",-0.005,,,0.06,,,,high,Accessibility Index by public transport; submarket model,log transaction price (Euro),log,OLS,100.0,,p,Oullins submarket; OLS model with Accessibility Index by public transport; R2 (adj. for OLS) 0.88-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-1,Appendix 3,spatial_error / Oullins / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),0.117,,,0.59,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with TTBellecour by car; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-2,Appendix 3,spatial_error / Oullins / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),0.311,,,0.27,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with TTCityHall by car; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-3,Appendix 3,spatial_error / Oullins / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",-0.008,,,0.43,,,,high,Centrality Index by car; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with Centrality Index by car; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-4,Appendix 3,spatial_error / Oullins / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",-0.003,,,0.35,,,,high,Accessibility Index by car; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with Accessibility Index by car; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-5,Appendix 3,spatial_error / Oullins / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),0.318,,,0.18,,,,high,TTBellecour by public transport; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with TTBellecour by public transport; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-6,Appendix 3,spatial_error / Oullins / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),0.422,,,0.02,,,,high,TTCityHall by public transport; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with TTCityHall by public transport; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-7,Appendix 3,spatial_error / Oullins / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",-0.022,,,0.06,,,,high,Centrality Index by public transport; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with Centrality Index by public transport; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-OUL-8,Appendix 3,spatial_error / Oullins / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",-0.005,,,0.05,,,,high,Accessibility Index by public transport; submarket model,log transaction price (Euro),log,spatial_error,100.0,,p,Oullins submarket; spatial_error model with Accessibility Index by public transport; R2 (adj. for OLS) 0.91; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-1,Appendix 3,OLS / Venissieux / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),-0.237,,,0.17,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with TTBellecour by car; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-2,Appendix 3,OLS / Venissieux / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.478,,,0.02,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with TTCityHall by car; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-3,Appendix 3,OLS / Venissieux / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.022,,,0.001,,,,high,Centrality Index by car; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with Centrality Index by car; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-4,Appendix 3,OLS / Venissieux / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.006,,,0.001,,,,high,Accessibility Index by car; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with Accessibility Index by car; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-5,Appendix 3,OLS / Venissieux / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.935,,,0.001,,,,high,TTBellecour by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with TTBellecour by public transport; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-6,Appendix 3,OLS / Venissieux / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.911,,,0.001,,,,high,TTCityHall by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with TTCityHall by public transport; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-7,Appendix 3,OLS / Venissieux / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.061,,,0.001,,,,high,Centrality Index by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with Centrality Index by public transport; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEN-8,Appendix 3,OLS / Venissieux / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.013,,,0.001,,,,high,Accessibility Index by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,OLS,97.0,,p,Venissieux submarket; OLS model with Accessibility Index by public transport; R2 (adj. for OLS) 0.78-0.85; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-1,Appendix 3,spatial_error / Venissieux / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),0.284,,,0.39,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with TTBellecour by car; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-2,Appendix 3,spatial_error / Venissieux / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.26,,,0.45,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with TTCityHall by car; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-3,Appendix 3,spatial_error / Venissieux / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.022,,,0.04,,,,high,Centrality Index by car; submarket model,log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with Centrality Index by car; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-4,Appendix 3,spatial_error / Venissieux / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.005,,,0.11,,,,high,Accessibility Index by car; submarket model,log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with Accessibility Index by car; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-5,Appendix 3,spatial_error / Venissieux / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),-0.947,,,0.001,,,,high,TTBellecour by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with TTBellecour by public transport; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-6,Appendix 3,spatial_error / Venissieux / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-1.162,,,0.001,,,,high,TTCityHall by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with TTCityHall by public transport; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-7,Appendix 3,spatial_error / Venissieux / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",0.061,,,0.001,,,,high,Centrality Index by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with Centrality Index by public transport; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEN-8,Appendix 3,spatial_error / Venissieux / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",0.014,,,0.001,,,,high,Accessibility Index by public transport; submarket model; p printed as <0.001 (upper bound),log transaction price (Euro),log,spatial_error,97.0,,p,Venissieux submarket; spatial_error model with Accessibility Index by public transport; R2 (adj. for OLS) 0.87-0.89; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-1,Appendix 3,OLS / Vaulx-en-Velin / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),1.97,,,0.19,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with TTBellecour by car; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-2,Appendix 3,OLS / Vaulx-en-Velin / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),0.016,,,0.99,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with TTCityHall by car; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-3,Appendix 3,OLS / Vaulx-en-Velin / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",-0.014,,,0.74,,,,high,Centrality Index by car; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with Centrality Index by car; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-4,Appendix 3,OLS / Vaulx-en-Velin / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",-0.005,,,0.69,,,,high,Accessibility Index by car; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with Accessibility Index by car; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-5,Appendix 3,OLS / Vaulx-en-Velin / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),0.559,,,0.54,,,,high,TTBellecour by public transport; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with TTBellecour by public transport; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-6,Appendix 3,OLS / Vaulx-en-Velin / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),-0.355,,,0.67,,,,high,TTCityHall by public transport; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with TTCityHall by public transport; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-7,Appendix 3,OLS / Vaulx-en-Velin / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",-0.007,,,0.87,,,,high,Centrality Index by public transport; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with Centrality Index by public transport; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-OLS-VEV-8,Appendix 3,OLS / Vaulx-en-Velin / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",-0.004,,,0.72,,,,high,Accessibility Index by public transport; submarket model,log transaction price (Euro),log,OLS,54.0,,p,Vaulx-en-Velin submarket; OLS model with Accessibility Index by public transport; R2 (adj. for OLS) 0.66-0.68; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-1,Appendix 3,spatial_error / Vaulx-en-Velin / TTBellecour by car,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by car to Bellecour),0.147,,,0.94,,,,high,TTBellecour by car; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with TTBellecour by car; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-2,Appendix 3,spatial_error / Vaulx-en-Velin / TTCityHall by car,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by car to Lyon City Hall),-0.562,,,0.65,,,,high,TTCityHall by car; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with TTCityHall by car; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-3,Appendix 3,spatial_error / Vaulx-en-Velin / Centrality Index by car,15,Centrality Index,employment_access,D_location,level,"index (gravity-based tertiary employment centrality, car, 0-100)",0.019,,,0.7,,,,high,Centrality Index by car; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with Centrality Index by car; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-4,Appendix 3,spatial_error / Vaulx-en-Velin / Accessibility Index by car,15,Accessibility Index,employment_access,D_location,level,"index (fuzzy-logic tertiary employment accessibility, car, 0-100)",0.003,,,0.81,,,,high,Accessibility Index by car; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with Accessibility Index by car; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-5,Appendix 3,spatial_error / Vaulx-en-Velin / TTBellecour by public transport,15,TTBellecour,cbd_distance,D_location,log,minutes (travel time by public transport to Bellecour),0.685,,,0.5,,,,high,TTBellecour by public transport; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with TTBellecour by public transport; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-6,Appendix 3,spatial_error / Vaulx-en-Velin / TTCityHall by public transport,15,TTCityHall,cbd_distance,D_location,log,minutes (travel time by public transport to Lyon City Hall),0.499,,,0.57,,,,high,TTCityHall by public transport; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with TTCityHall by public transport; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-7,Appendix 3,spatial_error / Vaulx-en-Velin / Centrality Index by public transport,15,Centrality Index,employment_access,D_location,level,"index (tertiary employment centrality, public transport, 0-100)",-0.008,,,0.86,,,,high,Centrality Index by public transport; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with Centrality Index by public transport; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4,0f2b62072edfd32a439d1606541bbbb8547810e4:A3-SE-VEV-8,Appendix 3,spatial_error / Vaulx-en-Velin / Accessibility Index by public transport,15,Accessibility Index,employment_access,D_location,level,"index (tertiary employment accessibility, public transport, 0-100)",-0.005,,,0.65,,,,high,Accessibility Index by public transport; submarket model,log transaction price (Euro),log,spatial_error,54.0,,p,Vaulx-en-Velin submarket; spatial_error model with Accessibility Index by public transport; R2 (adj. for OLS) 0.84; submarket models exclude construction-period and some structural dummies; n printed for OLS rows only
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Distance,transit_distance,D_location,level,miles,0.028,0.007,,,***,,,high,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Distance squared,transit_distance,D_location,squared,miles,-0.002,0.001,,,**,,,high,Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared,"ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Age,age,A_structural,level,years,-0.001,0.001,,,,,,high,age of home; with Age squared,"ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Age squared,age,A_structural,squared,years,-0.0,0.0,,,,,,medium,printed -0.000 (0.000),"ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Structural area (ln),living_area,A_structural,log,sqft,0.411,0.019,,,***,,,high,log structural area in sq ft,"ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Basement,basement,A_structural,binary,binary,0.161,0.01,,,***,,,high,,"ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Below average,condition,A_structural,binary,binary,-0.109,0.017,,,***,,,high,1 = below average condition,"ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Split level,dwelling_type,A_structural,binary,binary,0.06,0.012,,,***,,,high,1 = split-level house,"ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c1,3,1,11,Parking,other,other,level,count,0.0,0.0,,,,,,medium,"number of all-day parking spaces within one mile of nearest station (station attribute, not property parking); printed 0.000 (0.000)","ln(sales price), 2000 dollars",log,OLS,57912.0,,se,"full sample hedonic; ZIP code FE, year-quarter FE, ZIP linear trends; SE clustered at ZIP"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c2,3,2,11,Distance,transit_distance,D_location,level,miles,0.05,0.011,,,***,,,high,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; repeat sales with house FE; stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,FE_panel,16511.0,,se,"repeat-sales sample with house FE, time FE, ZIP linear trends"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c2,3,2,11,Distance squared,transit_distance,D_location,squared,miles,-0.002,0.001,,,*,,,high,Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared,"ln(sales price), 2000 dollars",log,FE_panel,16511.0,,se,"repeat-sales sample with house FE, time FE, ZIP linear trends"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T3-c2,3,2,11,Parking,other,other,level,count,0.0,0.0,,,,,,medium,station park-and-ride spaces within one mile; printed 0.000 (0.000),"ln(sales price), 2000 dollars",log,FE_panel,16511.0,,se,"repeat-sales sample with house FE, time FE, ZIP linear trends"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c2,4,2,14,Distance,transit_distance,D_location,level,miles,0.044,0.01,,,***,,,high,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties built before 1990; stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,FE_panel,11243.0,,se,repeat-sales robustness: properties built before 1990; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c2,4,2,14,Distance squared,transit_distance,D_location,squared,miles,-0.001,0.001,,,+,,,high,Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties built before 1990,"ln(sales price), 2000 dollars",log,FE_panel,11243.0,,se,repeat-sales robustness: properties built before 1990; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c3,4,3,14,Distance,transit_distance,D_location,level,miles,0.058,0.031,,,+,,,high,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties < 5 miles from station; stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,FE_panel,8956.0,,se,repeat-sales robustness: properties < 5 miles from station; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c3,4,3,14,Distance squared,transit_distance,D_location,squared,miles,-0.0,0.005,,,,,,high,Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties < 5 miles from station,"ln(sales price), 2000 dollars",log,FE_panel,8956.0,,se,repeat-sales robustness: properties < 5 miles from station; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c4,4,4,14,Distance,transit_distance,D_location,level,miles,0.078,0.021,,,***,,,high,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties < 7 miles; stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,FE_panel,12132.0,,se,repeat-sales robustness: properties < 7 miles; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c4,4,4,14,Distance squared,transit_distance,D_location,squared,miles,-0.005,0.003,,,*,,,high,Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties < 7 miles,"ln(sales price), 2000 dollars",log,FE_panel,12132.0,,se,repeat-sales robustness: properties < 7 miles; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c5,4,5,14,Distance,transit_distance,D_location,level,miles,0.062,0.012,,,***,,,high,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties < 10 miles; stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,FE_panel,15980.0,,se,repeat-sales robustness: properties < 10 miles; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c5,4,5,14,Distance squared,transit_distance,D_location,squared,miles,-0.003,0.001,,,**,,,high,Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; properties < 10 miles,"ln(sales price), 2000 dollars",log,FE_panel,15980.0,,se,repeat-sales robustness: properties < 10 miles; robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c6,4,6,14,Distance,transit_distance,D_location,level,miles,0.042,0.007,,,***,,,high,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; all repeat sales 1994-2011 (extended window); stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,FE_panel,32231.0,,se,repeat-sales robustness: all repeat sales 1994-2011 (extended window); robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c6,4,6,14,Distance squared,transit_distance,D_location,squared,miles,-0.001,0.001,,,*,,,high,Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; all repeat sales 1994-2011 (extended window),"ln(sales price), 2000 dollars",log,FE_panel,32231.0,,se,repeat-sales robustness: all repeat sales 1994-2011 (extended window); robust SE
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c7,4,7,14,Distance,transit_distance,D_location,level,miles,0.019,0.012,,,,,,medium,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; placebo-type: treatment date = construction groundbreaking, 1994-2011 sample; stars: *** p<0.001, ** p<0.01, * p<0.05, + p<0.10 (non-standard legend)","ln(sales price), 2000 dollars",log,FE_panel,32231.0,,se,"repeat-sales robustness: placebo-type: treatment date = construction groundbreaking, 1994-2011 sample; robust SE"
0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b,0f88c3ee1b9c25f3d6602c7c07d55400a39f254b:T4-c7,4,7,14,Distance squared,transit_distance,D_location,squared,miles,-0.001,0.001,,,,,,medium,"Euclidean distance (miles) to nearest Metro station in sales year; quadratic with Distance squared; placebo-type: treatment date = construction groundbreaking, 1994-2011 sample","ln(sales price), 2000 dollars",log,FE_panel,32231.0,,se,"repeat-sales robustness: placebo-type: treatment date = construction groundbreaking, 1994-2011 sample; robust SE"
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Land area (ln),lot_size,A_structural,log,sqft,0.175,,,,***,,,high,"Unit of land area not stated in table (US data, sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Land area (ln),lot_size,A_structural,log,sqft,0.184,,,,***,,,high,"Unit of land area not stated in table (US data, sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Land area (ln),lot_size,A_structural,log,sqft,0.178,,,,***,,,high,"Unit of land area not stated in table (US data, sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Land area (ln),lot_size,A_structural,log,sqft,0.161,,,,***,,,high,"Unit of land area not stated in table (US data, sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Land area (ln),lot_size,A_structural,log,sqft,0.222,,,,***,,,high,"Unit of land area not stated in table (US data, sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Land area (ln),lot_size,A_structural,log,sqft,0.241,,,,***,,,high,"Unit of land area not stated in table (US data, sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Floor area (ln),living_area,A_structural,log,sqft,0.657,,,,***,,,high,Unit not stated in table (sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Floor area (ln),living_area,A_structural,log,sqft,0.68,,,,***,,,high,Unit not stated in table (sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Floor area (ln),living_area,A_structural,log,sqft,0.682,,,,***,,,high,Unit not stated in table (sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Floor area (ln),living_area,A_structural,log,sqft,0.686,,,,***,,,high,Unit not stated in table (sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Floor area (ln),living_area,A_structural,log,sqft,0.589,,,,***,,,high,Unit not stated in table (sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Floor area (ln),living_area,A_structural,log,sqft,0.454,,,,***,,,high,Unit not stated in table (sq ft assumed); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Age,age,A_structural,level,years,-0.009,,,,***,,,high,No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Age,age,A_structural,level,years,-0.01,,,,***,,,high,No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Age,age,A_structural,level,years,-0.01,,,,***,,,high,No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Age,age,A_structural,level,years,-0.009,,,,***,,,high,No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Age,age,A_structural,level,years,-0.011,,,,***,,,high,No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Age,age,A_structural,level,years,-0.01,,,,***,,,high,No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Age squared,age,A_structural,squared,years,7.03e-05,,,,***,,,high,Printed as 7.03x10-5 etc.; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Age squared,age,A_structural,squared,years,6.69e-05,,,,***,,,high,Printed as 7.03x10-5 etc.; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Age squared,age,A_structural,squared,years,6.94e-05,,,,***,,,high,Printed as 7.03x10-5 etc.; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Age squared,age,A_structural,squared,years,4.7e-05,,,,***,,,high,Printed as 7.03x10-5 etc.; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Age squared,age,A_structural,squared,years,6.29e-05,,,,***,,,high,Printed as 7.03x10-5 etc.; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Age squared,age,A_structural,squared,years,5.85e-05,,,,***,,,high,Printed as 7.03x10-5 etc.; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Quality: Average,condition,A_structural,binary,binary,0.789,,,,***,,,high,Construction quality category (reference: below average); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Quality: Average,condition,A_structural,binary,binary,0.688,,,,***,,,high,Construction quality category (reference: below average); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Quality: Average,condition,A_structural,binary,binary,0.688,,,,***,,,high,Construction quality category (reference: below average); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Quality: Average,condition,A_structural,binary,binary,0.671,,,,***,,,high,Construction quality category (reference: below average); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Quality: Average,condition,A_structural,binary,binary,0.559,,,,***,,,high,Construction quality category (reference: below average); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Quality: Average,condition,A_structural,binary,binary,0.452,,,,***,,,high,Construction quality category (reference: below average); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Quality: Above average,condition,A_structural,binary,binary,0.224,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Quality: Above average,condition,A_structural,binary,binary,0.198,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Quality: Above average,condition,A_structural,binary,binary,0.193,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Quality: Above average,condition,A_structural,binary,binary,0.178,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Quality: Above average,condition,A_structural,binary,binary,0.165,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Quality: Above average,condition,A_structural,binary,binary,0.12,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Quality: Excellent or superior,condition,A_structural,binary,binary,0.499,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Quality: Excellent or superior,condition,A_structural,binary,binary,0.438,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Quality: Excellent or superior,condition,A_structural,binary,binary,0.44,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Quality: Excellent or superior,condition,A_structural,binary,binary,0.404,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Quality: Excellent or superior,condition,A_structural,binary,binary,0.345,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Quality: Excellent or superior,condition,A_structural,binary,binary,0.273,,,,***,,,high,Construction quality category; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Special features' value (ln),other,other,log,currency,0.007,,,,***,,,high,Assessor's value of special features (pools etc.); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Special features' value (ln),other,other,log,currency,0.006,,,,***,,,high,Assessor's value of special features (pools etc.); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Special features' value (ln),other,other,log,currency,0.006,,,,***,,,high,Assessor's value of special features (pools etc.); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Special features' value (ln),other,other,log,currency,0.006,,,,***,,,high,Assessor's value of special features (pools etc.); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Special features' value (ln),other,other,log,currency,0.006,,,,***,,,high,Assessor's value of special features (pools etc.); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Special features' value (ln),other,other,log,currency,0.005,,,,***,,,high,Assessor's value of special features (pools etc.); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Distance to ocean (ln),water_proximity,E_environment,log,unknown,-0.192,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Distance to ocean (ln),water_proximity,E_environment,log,unknown,-0.205,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Distance to ocean (ln),water_proximity,E_environment,log,unknown,-0.204,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Distance to ocean (ln),water_proximity,E_environment,log,unknown,-0.12,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Distance to ocean (ln),water_proximity,E_environment,log,unknown,-0.187,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Distance to ocean (ln),water_proximity,E_environment,log,unknown,-0.16,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Distance to nearest water body (ln),water_proximity,E_environment,log,unknown,-0.033,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Distance to nearest water body (ln),water_proximity,E_environment,log,unknown,-0.016,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Distance to nearest water body (ln),water_proximity,E_environment,log,unknown,-0.018,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Distance to nearest water body (ln),water_proximity,E_environment,log,unknown,-0.039,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Distance to nearest water body (ln),water_proximity,E_environment,log,unknown,-0.031,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Distance to nearest water body (ln),water_proximity,E_environment,log,unknown,-0.036,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Distance to nearest railroad (ln),transit_distance,D_location,log,unknown,-0.007,,,,***,,,medium,"Railroad line (disamenity), not a station; Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Distance to nearest railroad (ln),transit_distance,D_location,log,unknown,0.006,,,,***,,,medium,"Railroad line (disamenity), not a station; Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Distance to nearest railroad (ln),transit_distance,D_location,log,unknown,0.008,,,,***,,,medium,"Railroad line (disamenity), not a station; Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Distance to nearest railroad (ln),transit_distance,D_location,log,unknown,0.023,,,,***,,,medium,"Railroad line (disamenity), not a station; Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Distance to nearest railroad (ln),transit_distance,D_location,log,unknown,0.004,,,,,,,medium,"Railroad line (disamenity), not a station; Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Distance to nearest railroad (ln),transit_distance,D_location,log,unknown,0.006,,,,,,,medium,"Railroad line (disamenity), not a station; Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Distance to nearest expressway (ln),highway_distance,D_location,log,unknown,0.017,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Distance to nearest expressway (ln),highway_distance,D_location,log,unknown,0.027,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Distance to nearest expressway (ln),highway_distance,D_location,log,unknown,0.028,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Distance to nearest expressway (ln),highway_distance,D_location,log,unknown,0.029,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Distance to nearest expressway (ln),highway_distance,D_location,log,unknown,0.01,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Distance to nearest expressway (ln),highway_distance,D_location,log,unknown,0.021,,,,**,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Airport noise > 60 LEQ,noise,E_environment,binary,binary,0.006,,,,,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Airport noise > 60 LEQ,noise,E_environment,binary,binary,0.002,,,,,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Airport noise > 60 LEQ,noise,E_environment,binary,binary,0.006,,,,,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Airport noise > 60 LEQ,noise,E_environment,binary,binary,-0.149,,,,***,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Airport noise > 60 LEQ,noise,E_environment,binary,binary,-0.016,,,,,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Airport noise > 60 LEQ,noise,E_environment,binary,binary,-0.216,,,,**,,,medium,Row block garbled in dump (5 amenity rows x 6 models listed as 30 values); reconstructed column-wise and cross-checked with text (airport noise significant only in Models 4 and 6); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Elementary school A,school_quality,F_neighbourhood,binary,binary,0.106,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Elementary school A,school_quality,F_neighbourhood,binary,binary,0.098,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Elementary school A,school_quality,F_neighbourhood,binary,binary,0.089,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Elementary school A,school_quality,F_neighbourhood,binary,binary,0.095,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Elementary school A,school_quality,F_neighbourhood,binary,binary,0.122,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Elementary school A,school_quality,F_neighbourhood,binary,binary,0.092,,,,**,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Elementary school B,school_quality,F_neighbourhood,binary,binary,-0.002,,,,,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Elementary school B,school_quality,F_neighbourhood,binary,binary,-0.002,,,,,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Elementary school B,school_quality,F_neighbourhood,binary,binary,-0.006,,,,,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Elementary school B,school_quality,F_neighbourhood,binary,binary,0.012,,,,,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Elementary school B,school_quality,F_neighbourhood,binary,binary,0.095,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Elementary school B,school_quality,F_neighbourhood,binary,binary,0.093,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Elementary school C,school_quality,F_neighbourhood,binary,binary,-0.059,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Elementary school C,school_quality,F_neighbourhood,binary,binary,-0.051,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Elementary school C,school_quality,F_neighbourhood,binary,binary,-0.046,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Elementary school C,school_quality,F_neighbourhood,binary,binary,-0.018,,,,,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Elementary school C,school_quality,F_neighbourhood,binary,binary,0.056,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Elementary school C,school_quality,F_neighbourhood,binary,binary,0.101,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Middle school A,school_quality,F_neighbourhood,binary,binary,0.238,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Middle school A,school_quality,F_neighbourhood,binary,binary,0.215,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Middle school A,school_quality,F_neighbourhood,binary,binary,0.193,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Middle school A,school_quality,F_neighbourhood,binary,binary,0.193,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Middle school A,school_quality,F_neighbourhood,binary,binary,0.05,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Middle school A,school_quality,F_neighbourhood,binary,binary,0.034,,,,,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Middle school B,school_quality,F_neighbourhood,binary,binary,0.333,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Middle school B,school_quality,F_neighbourhood,binary,binary,0.321,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Middle school B,school_quality,F_neighbourhood,binary,binary,0.307,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Middle school B,school_quality,F_neighbourhood,binary,binary,0.269,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Middle school B,school_quality,F_neighbourhood,binary,binary,0.122,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Middle school B,school_quality,F_neighbourhood,binary,binary,0.062,,,,*,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,Middle school C,school_quality,F_neighbourhood,binary,binary,0.196,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,Middle school C,school_quality,F_neighbourhood,binary,binary,0.155,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,Middle school C,school_quality,F_neighbourhood,binary,binary,0.148,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,Middle school C,school_quality,F_neighbourhood,binary,binary,0.128,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,Middle school C,school_quality,F_neighbourhood,binary,binary,0.038,,,,***,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,Middle school C,school_quality,F_neighbourhood,binary,binary,0.0,,,,,,,high,School grade dummy (Florida school accountability grades; reference: D/F or lower grades); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,High school B,school_quality,F_neighbourhood,binary,binary,0.275,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,High school B,school_quality,F_neighbourhood,binary,binary,0.261,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,High school B,school_quality,F_neighbourhood,binary,binary,0.253,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,High school B,school_quality,F_neighbourhood,binary,binary,0.161,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,High school B,school_quality,F_neighbourhood,binary,binary,0.047,,,,*,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,High school B,school_quality,F_neighbourhood,binary,binary,-0.029,,,,,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M1,4,Model 1,24,High school C,school_quality,F_neighbourhood,binary,binary,0.264,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.809,none,Base model: control variables only
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,24,High school C,school_quality,F_neighbourhood,binary,binary,0.277,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,24,High school C,school_quality,F_neighbourhood,binary,binary,0.267,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,24,High school C,school_quality,F_neighbourhood,binary,binary,0.201,,,,***,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M5,4,Model 5,24,High school C,school_quality,F_neighbourhood,binary,binary,0.002,,,,,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,OLS,13932.0,0.897,none,Adds 68 submarket (area) dummies (not reported)
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M6,4,Model 6,24,High school C,school_quality,F_neighbourhood,binary,binary,-0.06,,,,,,,medium,"School grade dummy (Florida school accountability grades; reference: D/F or lower grades); row garbled in dump (High school B, High school C and February values interleaved), reconstructed in groups of three per model; No SE/t printed; stars only (*0.10 **0.05 ***0.01)",ln(sale price),log,SAC,13932.0,0.935,none,Spatial autoregressive + spatial error model with lags of control variables (5 NN inverse distance); lagged controls not reported
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M2,4,Model 2,25,Travel demand automobile (ln),employment_access,D_location,log,index,0.126,,,,***,,,high,Automobile job accessibility index from regional travel demand model; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.817,none,Adds travel-demand-model automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M3,4,Model 3,25,Sugar Access automobile (ln),employment_access,D_location,log,index,0.175,,,,***,,,high,Big-data (Sugar Access) automobile job accessibility index; No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.819,none,Adds Sugar Access (big data) automobile accessibility index
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,25,Nearest CBD (ln),cbd_distance,D_location,log,unknown,-0.061,,,,***,,,high,Distance to nearest CBD (unit not stated in table); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a,0ff4eb143517f757d1f3f4078cf390068474a83a:M4,4,Model 4,25,Nearest employment center (ln),employment_access,D_location,log,unknown,-0.183,,,,***,,,high,Distance to nearest employment subcenter (unit not stated); No SE/t printed; stars only (*0.10 **0.05 ***0.01),ln(sale price),log,OLS,13932.0,0.84,none,Adds distances to nearest CBD and employment subcenter
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Building Type,dwelling_type,A_structural,binary,binary,-0.473,0.022,-21.673,0.0,,,,high,"1 = apartment, reference = villa (text p.5/9)",ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Bed Room,bedrooms,A_structural,level,count,0.012,0.004,2.837,0.005,,,,high,,ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Living Room,other,other,level,count,0.045,0.008,5.349,0.0,,,,high,number of living rooms (printed 'Living Room'),ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Bathroom,bathrooms,A_structural,level,count,0.03,0.006,5.007,0.0,,,,high,,ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Kitchen,other,other,level,count,-0.005,0.019,-0.259,0.795,,,,high,"number of kitchens (printed 'Kitchen'), not kitchen quality",ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Size,living_area,A_structural,level,m2,0.002,,27.336,0.0,,,,high,"Size in square metres (Table 1: Size (m2), 56-930). Std. Error printed as '0' (rounded to 3 decimals) -> not recorded; t = 27.336 printed",ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Street Wide,other,other,level,m,0.001,0.001,1.468,0.142,,,,medium,"street width; unit not stated in paper, metres presumed",ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Floor,floor_level,A_structural,level,count,-0.022,0.006,-3.599,0.0,,,,high,floor number 0-10,ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Age,age,A_structural,level,years,-0.007,0.001,-5.051,0.0,,,,high,"age in years (Table 1: Age (years), 0-20)",ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Entrance Number,other,other,level,count,0.047,0.016,2.972,0.003,,,,high,number of entrances (1-2),ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd,1076844f99e9f35c7768a4e64f2c167ab26b5afd:T2-c1,2,1,9,Elevator,accessibility,B_interior,binary,binary,0.065,0.011,5.861,0.0,,,,high,presence of elevator (dummy),ln(listing price),log,OLS,2097.0,0.8178,se,"Full sample of apartments and villas; district dummies (reference East Riyadh); N and R2 taken from Table 3 training results (70% split), Table 2 itself does not print N"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c1,2,1,10,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.182,0.026,,,***,,,high,DiD interaction: sold after the 2014 wildfire x located within 20 km of the wildfire perimeter,Log(selling price),log,OLS,98269.0,0.062,se,"DiD only, no characteristics, no FE; treatment < 20 km"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c2,2,2,10,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.14,0.022,,,***,,,high,DiD interaction: sold after the 2014 wildfire x located within 20 km of the wildfire perimeter,Log(selling price),log,OLS,98269.0,0.335,se,"DiD + basic characteristics, no FE; treatment < 20 km"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c3,2,3,10,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.096,0.015,,,***,,,high,DiD interaction: sold after the 2014 wildfire x located within 20 km of the wildfire perimeter,Log(selling price),log,spatial_lag,98269.0,0.682,se,+ spatial price lag W(Price); no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.104,0.015,,,***,,,high,DiD interaction: sold after the 2014 wildfire x located within 20 km of the wildfire perimeter,Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.027,0.011,,,**,,,high,DiD interaction: sold after the 2014 wildfire x located within 20 km of the wildfire perimeter,Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c2,2,2,10,Living Area (m2),living_area,A_structural,level,m2,0.005,0.0001,,,***,,,high,,Log(selling price),log,OLS,98269.0,0.335,se,"DiD + basic characteristics, no FE; treatment < 20 km"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c2,2,2,10,Age,age,A_structural,level,years,-0.004,0.0001,,,***,,,high,Quadratic in age (Age2 also included),Log(selling price),log,OLS,98269.0,0.335,se,"DiD + basic characteristics, no FE; treatment < 20 km"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c2,2,2,10,Age2,age,A_structural,squared,years,0.0,0.0,,,***,,,low,Printed as 0.00000 (0.00000); value rounded to zero in the table,Log(selling price),log,OLS,98269.0,0.335,se,"DiD + basic characteristics, no FE; treatment < 20 km"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c2,2,2,10,Number of rooms,bedrooms,A_structural,level,count,0.076,0.002,,,***,,,high,"Total number of rooms, not bedrooms",Log(selling price),log,OLS,98269.0,0.335,se,"DiD + basic characteristics, no FE; treatment < 20 km"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c3,2,3,10,Living Area (m2),living_area,A_structural,level,m2,0.005,0.0001,,,***,,,high,,Log(selling price),log,spatial_lag,98269.0,0.682,se,+ spatial price lag W(Price); no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c3,2,3,10,Age,age,A_structural,level,years,-0.0003,0.0001,,,***,,,high,Quadratic in age (Age2 also included),Log(selling price),log,spatial_lag,98269.0,0.682,se,+ spatial price lag W(Price); no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c3,2,3,10,Age2,age,A_structural,squared,years,0.0,0.0,,,***,,,low,Printed as 0.00000 (0.00000); value rounded to zero in the table,Log(selling price),log,spatial_lag,98269.0,0.682,se,+ spatial price lag W(Price); no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c3,2,3,10,Number of rooms,bedrooms,A_structural,level,count,0.05,0.002,,,***,,,high,"Total number of rooms, not bedrooms",Log(selling price),log,spatial_lag,98269.0,0.682,se,+ spatial price lag W(Price); no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Living Area (m2),living_area,A_structural,level,m2,0.005,0.0001,,,***,,,high,,Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Age,age,A_structural,level,years,-0.0004,0.0001,,,***,,,high,Quadratic in age (Age2 also included),Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Age2,age,A_structural,squared,years,0.0,0.0,,,***,,,low,Printed as 0.00000 (0.00000); value rounded to zero in the table,Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Number of rooms,bedrooms,A_structural,level,count,0.052,0.002,,,***,,,high,"Total number of rooms, not bedrooms",Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Living Area (m2),living_area,A_structural,level,m2,0.005,5e-05,,,***,,,high,,Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Age,age,A_structural,level,years,-0.002,5e-05,,,***,,,high,Quadratic in age (Age2 also included),Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Age2,age,A_structural,squared,years,0.0,0.0,,,***,,,low,Printed as 0.00000 (0.00000); value rounded to zero in the table,Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Number of rooms,bedrooms,A_structural,level,count,0.06,0.001,,,***,,,high,"Total number of rooms, not bedrooms",Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Distance fire,wildfire_risk,E_environment,level,m,0.0,0.0,,,***,,,low,"Distance from the wildfire perimeter in meters; printed as -0.00000 (0.00000), rounded to zero",Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Distance fire,wildfire_risk,E_environment,level,m,0.0,0.0,,,,,,low,"Distance from the wildfire perimeter in meters; printed as -0.00000 (0.00000), rounded to zero",Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Distance forest,green_space,E_environment,level,m,0.0001,0.0,,,***,,,medium,Distance to closest forest in meters; SE printed as 0.00000,Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Distance forest,green_space,E_environment,level,m,2e-05,1e-05,,,***,,,medium,Distance to closest forest in meters,Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Distance train,transit_distance,D_location,level,m,-1e-05,0.0,,,***,,,medium,Distance to closest train station in meters; SE printed as 0.00000,Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Distance train,transit_distance,D_location,level,m,-1e-05,0.0,,,***,,,medium,Distance to closest train station in meters; SE printed as 0.00000,Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c4,2,4,10,Distance lake,water_proximity,E_environment,level,m,-0.0001,0.0,,,***,,,medium,Distance to closest lake in meters; SE printed as 0.00000,Log(selling price),log,spatial_lag,98269.0,0.694,se,+ distances; no FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T2-c5,2,5,10,Distance lake,water_proximity,E_environment,level,m,-0.0001,0.0,,,***,,,medium,Distance to closest lake in meters; SE printed as 0.00000,Log(selling price),log,spatial_lag,98269.0,0.829,se,full model with month FE and postal code FE; treatment < 20 km
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T3-c1,3,1,13,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.199,0.057,,,***,,,high,"DiD interaction, treatment group = within < 5 km of the wildfire perimeter",Log(selling price),log,spatial_lag,98269.0,0.693,se,treatment = within < 5 km of wildfire perimeter; no FE; full characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T3-c2,3,2,13,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.107,0.043,,,**,,,high,"DiD interaction, treatment group = within < 5 km of the wildfire perimeter",Log(selling price),log,spatial_lag,98269.0,0.829,se,treatment = within < 5 km of wildfire perimeter; month + postal code FE; full characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T3-c3,3,3,13,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.159,0.037,,,***,,,high,"DiD interaction, treatment group = within < 10 km of the wildfire perimeter",Log(selling price),log,spatial_lag,98269.0,0.694,se,treatment = within < 10 km of wildfire perimeter; no FE; full characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T3-c4,3,4,13,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.093,0.029,,,***,,,high,"DiD interaction, treatment group = within < 10 km of the wildfire perimeter",Log(selling price),log,spatial_lag,98269.0,0.829,se,treatment = within < 10 km of wildfire perimeter; month + postal code FE; full characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T3-c5,3,5,13,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.092,0.013,,,***,,,high,"DiD interaction, treatment group = within < 25 km of the wildfire perimeter",Log(selling price),log,spatial_lag,98269.0,0.694,se,treatment = within < 25 km of wildfire perimeter; no FE; full characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T3-c6,3,6,13,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.024,0.01,,,**,,,high,"DiD interaction, treatment group = within < 25 km of the wildfire perimeter",Log(selling price),log,spatial_lag,98269.0,0.829,se,treatment = within < 25 km of wildfire perimeter; month + postal code FE; full characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T4-c1,4,1,14,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.163,0.05,,,***,,,high,"DiD interaction, treatment group = 1st ring postal codes",Log(selling price),log,spatial_lag,98269.0,0.694,se,treatment = 1st ring postal codes around wildfire; no FE; characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T4-c2,4,2,14,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.127,0.045,,,***,,,medium,"DiD interaction, treatment group = 1st ring postal codes; SE printed as (0.0.045), read as 0.045",Log(selling price),log,spatial_lag,98269.0,0.7522,se,treatment = 1st ring postal codes around wildfire; month + municipality FE; characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T4-c3,4,3,14,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.129,0.018,,,***,,,high,"DiD interaction, treatment group = 1st and 2nd ring postal codes",Log(selling price),log,spatial_lag,98269.0,0.694,se,treatment = 1st and 2nd ring postal codes around wildfire; no FE; characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T4-c4,4,4,14,Post * Treatment,wildfire_risk,E_environment,other,binary,-0.099,0.014,,,***,,,high,"DiD interaction, treatment group = 1st and 2nd ring postal codes",Log(selling price),log,spatial_lag,98269.0,0.7521,se,treatment = 1st and 2nd ring postal codes around wildfire; month + municipality FE; characteristic controls omitted from table
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T6-c1,6,1,16,Treatmentd*Treatmentt,wildfire_risk,E_environment,other,binary,-0.183,0.073,,,**,,,high,Repeat-sales DiD: within 10 km x wildfire occurred between the two consecutive sales; dependent variable is change in log price,Δ log(selling price) between consecutive sales,other,OLS,5865.0,0.171,se,"Repeat-sales, single/multi-family houses only, 2005-2019, treatment within 10 km; no year controls/FE"
11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5,11135c13b52c3fe849cfd9899af8e92968906ec5:T6-c2,6,2,16,Treatmentd*Treatmentt,wildfire_risk,E_environment,other,binary,-0.115,0.07,,,*,,,high,Repeat-sales DiD: within 10 km x wildfire occurred between the two consecutive sales; dependent variable is change in log price,Δ log(selling price) between consecutive sales,other,OLS,5865.0,0.257,se,"Repeat-sales, single/multi-family houses only, 2005-2019, treatment within 10 km; year controls + postal code FE"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,P_LGPERMOPEN,green_space,E_environment,level,share,0.6303,,3.59,,*,,,high,"Share of permanently preserved open space within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,SMPERMOPEN,green_space,E_environment,level,share,-0.1134,,-1.72,,,,,high,Share of permanently preserved open space within 100 m buffer,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,P_LGAGFOREST,green_space,E_environment,level,share,-0.3492,,-7.42,,*,,,high,"Share of non-preserved agricultural and forest land within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,SMAGFOREST,green_space,E_environment,level,share,-0.0482,,-2.38,,,,,high,Share of non-preserved agricultural and forest land within 100 m buffer; no star printed despite |t| > 1.96 (as printed),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,LN_ACRE,lot_size,A_structural,log,acres,0.0982,,13.83,,*,,,high,Natural log of parcel size in acres,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,LN_AGE,age,A_structural,log,years,-0.0226,,-5.31,,*,,,high,Natural log of age of structure in years,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,LN_SQFT,living_area,A_structural,log,sqft,0.3894,,20.46,,*,,,high,Natural log of structure size in square feet,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,AVERAGE,condition,A_structural,dummy,binary,0.2106,,13.88,,*,,,high,Assessor quality grade average (omitted category: fair),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,GOOD_VGOOD,condition,A_structural,dummy,binary,0.4859,,12.29,,*,,,high,Assessor quality grade good or very good (omitted: fair),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,NUSTORY,storeys,A_structural,level,count,0.079,,5.99,,*,,,high,Number of stories,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,BASEMENT,basement,A_structural,binary,binary,-0.0126,,-1.12,,,,,high,,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,FRAME,roof_materials,A_structural,binary,binary,-0.0052,,-0.22,,,,,high,Framed structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,ALUM,roof_materials,A_structural,binary,binary,-0.0422,,-1.82,,,,,high,Aluminum-sided structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,LN_POPDEN,density,F_neighbourhood,log,households per sq mile,-0.0396,,-3.67,,*,,,high,Natural log of census tract/block-group population density (households per square mile),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,%EDUCB,education_level,F_neighbourhood,level,share,0.9934,,3.94,,*,,,high,Share of population with bachelor's degree or higher (1990 Census block group),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,MEDHSINC,income,F_neighbourhood,level,USD,0.0,,-0.3,,,,,medium,"Median household income of census tract in dollars; coefficient printed as 0.0000 (rounded) in most columns; beta printed as 0.0000 — magnitude not recoverable, use t only","LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,LN_CITYDIST,cbd_distance,D_location,log,km,-0.1669,,-4.27,,*,,,high,"Natural log of Euclidean distance to nearest of Washington DC or Baltimore; printed in units of 100 km (log, so scale does not affect the elasticity)","LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c1,3,1,8,LN_TOWNDIST,other,other,log,km,0.0241,,2.67,,*,,,high,Natural log of distance to nearest town (units of 100 km),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,1676.0,0.7549,t,"Calvert County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,P_LGPERMOPEN,green_space,E_environment,level,share,0.7118,,2.83,,*,,,high,"Share of permanently preserved open space within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,SMPERMOPEN,green_space,E_environment,level,share,-0.1117,,-1.67,,,,,high,Share of permanently preserved open space within 100 m buffer,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,P_LGAGFOREST,green_space,E_environment,level,share,-0.3907,,-6.03,,*,,,high,"Share of non-preserved agricultural and forest land within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,SMAGFOREST,green_space,E_environment,level,share,-0.0496,,-2.42,,,,,high,Share of non-preserved agricultural and forest land within 100 m buffer; no star printed despite |t| > 1.96 (as printed),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,LN_ACRE,lot_size,A_structural,log,acres,0.1002,,12.87,,*,,,high,Natural log of parcel size in acres,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,LN_AGE,age,A_structural,log,years,-0.0287,,-6.28,,*,,,high,Natural log of age of structure in years,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,LN_SQFT,living_area,A_structural,log,sqft,0.3765,,19.49,,*,,,high,Natural log of structure size in square feet,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,AVERAGE,condition,A_structural,dummy,binary,0.202,,12.94,,*,,,high,Assessor quality grade average (omitted category: fair),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,GOOD_VGOOD,condition,A_structural,dummy,binary,0.4699,,11.56,,*,,,high,Assessor quality grade good or very good (omitted: fair),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,NUSTORY,storeys,A_structural,level,count,0.0655,,5.14,,*,,,high,Number of stories,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,BASEMENT,basement,A_structural,binary,binary,-0.0008,,-0.07,,,,,high,,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,FRAME,roof_materials,A_structural,binary,binary,-0.0311,,-1.36,,,,,high,Framed structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,ALUM,roof_materials,A_structural,binary,binary,-0.0464,,-2.07,,,,,high,Aluminum-sided structure (omitted: all other construction types); no star printed despite |t| > 1.96 (as printed),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,LN_POPDEN,density,F_neighbourhood,log,households per sq mile,-0.0393,,-2.85,,*,,,high,Natural log of census tract/block-group population density (households per square mile),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,%EDUCB,education_level,F_neighbourhood,level,share,1.0015,,2.83,,*,,,high,Share of population with bachelor's degree or higher (1990 Census block group),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,MEDHSINC,income,F_neighbourhood,level,USD,0.0,,-0.18,,,,,medium,"Median household income of census tract in dollars; coefficient printed as 0.0000 (rounded) in most columns; beta printed as 0.0000 — magnitude not recoverable, use t only","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,LN_CITYDIST,cbd_distance,D_location,log,km,-0.1432,,-2.59,,*,,,high,"Natural log of Euclidean distance to nearest of Washington DC or Baltimore; printed in units of 100 km (log, so scale does not affect the elasticity)","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T3-c2,3,2,8,LN_TOWNDIST,other,other,log,km,0.0265,,2.02,,,,,high,Natural log of distance to nearest town (units of 100 km); no star printed despite |t| > 1.96 (as printed),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,1676.0,0.7785,t,"Calvert County, spatial error model (lambda 0.4067); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,P_LGPERMOPEN,green_space,E_environment,level,share,-0.1181,,-1.86,,,,,high,"Share of permanently preserved open space within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,SMPERMOPEN,green_space,E_environment,level,share,0.0443,,2.01,,,,,high,Share of permanently preserved open space within 100 m buffer; no star printed despite |t| > 1.96 (as printed),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,P_LGAGFOREST,green_space,E_environment,level,share,-0.1932,,-3.39,,*,,,high,"Share of non-preserved agricultural and forest land within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,SMAGFOREST,green_space,E_environment,level,share,0.0027,,0.2,,,,,high,Share of non-preserved agricultural and forest land within 100 m buffer,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,LN_ACRE,lot_size,A_structural,log,acres,0.1334,,31.68,,*,,,high,Natural log of parcel size in acres,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,LN_AGE,age,A_structural,log,years,-0.0641,,-21.8,,*,,,high,Natural log of age of structure in years,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,LN_SQFT,living_area,A_structural,log,sqft,0.2692,,24.29,,*,,,high,Natural log of structure size in square feet,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,AVERAGE,condition,A_structural,dummy,binary,0.1546,,17.51,,*,,,high,Assessor quality grade average (omitted category: fair),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,GOOD_VGOOD,condition,A_structural,dummy,binary,0.4036,,17.17,,*,,,high,Assessor quality grade good or very good (omitted: fair),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,NUSTORY,storeys,A_structural,level,count,-0.0212,,-2.52,,,,,high,Number of stories; no star printed despite |t| > 1.96 (as printed),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,BASEMENT,basement,A_structural,binary,binary,0.1324,,8.74,,*,,,high,,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,FRAME,roof_materials,A_structural,binary,binary,-0.0528,,-4.05,,*,,,high,Framed structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,ALUM,roof_materials,A_structural,binary,binary,-0.0015,,-0.16,,,,,high,Aluminum-sided structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,LN_POPDEN,density,F_neighbourhood,log,households per sq mile,0.0286,,4.75,,*,,,high,Natural log of census tract/block-group population density (households per square mile),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,%EDUCB,education_level,F_neighbourhood,level,share,0.0814,,0.62,,,,,high,Share of population with bachelor's degree or higher (1990 Census block group),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,MEDHSINC,income,F_neighbourhood,level,USD,0.0,,6.82,,*,,,medium,"Median household income of census tract in dollars; coefficient printed as 0.0000 (rounded) in most columns; beta printed as 0.0000 — magnitude not recoverable, use t only","LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,LN_CITYDIST,cbd_distance,D_location,log,km,-0.1581,,-6.45,,*,,,high,"Natural log of Euclidean distance to nearest of Washington DC or Baltimore; printed in units of 100 km (log, so scale does not affect the elasticity)","LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c1,4,1,8,LN_TOWNDIST,other,other,log,km,-0.0044,,-0.76,,,,,high,Natural log of distance to nearest town (units of 100 km),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,3133.0,0.7394,t,"Carroll County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,P_LGPERMOPEN,green_space,E_environment,level,share,-0.1171,,-1.57,,,,,high,"Share of permanently preserved open space within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,SMPERMOPEN,green_space,E_environment,level,share,0.0317,,1.33,,,,,high,Share of permanently preserved open space within 100 m buffer,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,P_LGAGFOREST,green_space,E_environment,level,share,-0.2074,,-3.26,,*,,,high,"Share of non-preserved agricultural and forest land within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,SMAGFOREST,green_space,E_environment,level,share,0.0027,,0.2,,,,,high,Share of non-preserved agricultural and forest land within 100 m buffer,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,LN_ACRE,lot_size,A_structural,log,acres,0.1338,,31.06,,*,,,high,Natural log of parcel size in acres,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,LN_AGE,age,A_structural,log,years,-0.061,,-20.15,,*,,,high,Natural log of age of structure in years,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,LN_SQFT,living_area,A_structural,log,sqft,0.2629,,24.0,,*,,,high,Natural log of structure size in square feet,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,AVERAGE,condition,A_structural,dummy,binary,0.1551,,16.76,,*,,,high,Assessor quality grade average (omitted category: fair),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,GOOD_VGOOD,condition,A_structural,dummy,binary,0.3973,,16.69,,*,,,high,Assessor quality grade good or very good (omitted: fair),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,NUSTORY,storeys,A_structural,level,count,-0.0155,,-1.83,,,,,high,Number of stories,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,BASEMENT,basement,A_structural,binary,binary,0.133,,8.87,,*,,,high,,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,FRAME,roof_materials,A_structural,binary,binary,-0.0488,,-3.79,,*,,,high,Framed structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,ALUM,roof_materials,A_structural,binary,binary,-0.0007,,-0.08,,,,,high,Aluminum-sided structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,LN_POPDEN,density,F_neighbourhood,log,households per sq mile,0.0274,,4.02,,*,,,high,Natural log of census tract/block-group population density (households per square mile),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,%EDUCB,education_level,F_neighbourhood,level,share,0.0083,,0.06,,,,,high,Share of population with bachelor's degree or higher (1990 Census block group),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,MEDHSINC,income,F_neighbourhood,level,USD,0.0,,23.02,,*,,,medium,"Median household income of census tract in dollars; coefficient printed as 0.0000 (rounded) in most columns; beta printed as 0.0000 — magnitude not recoverable, use t only","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,LN_CITYDIST,cbd_distance,D_location,log,km,-0.1687,,-5.8,,*,,,high,"Natural log of Euclidean distance to nearest of Washington DC or Baltimore; printed in units of 100 km (log, so scale does not affect the elasticity)","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T4-c2,4,2,8,LN_TOWNDIST,other,other,log,km,-0.0048,,-0.75,,,,,high,Natural log of distance to nearest town (units of 100 km),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,3133.0,0.7458,t,"Carroll County, spatial error model (lambda 0.2149); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,P_LGPERMOPEN,green_space,E_environment,level,share,0.495,,6.4,,*,,,high,"Share of permanently preserved open space within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,SMPERMOPEN,green_space,E_environment,level,share,0.0367,,1.69,,,,,high,Share of permanently preserved open space within 100 m buffer,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,P_LGAGFOREST,green_space,E_environment,level,share,-0.1612,,-2.89,,*,,,high,"Share of non-preserved agricultural and forest land within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,P_SMAGFOREST,green_space,E_environment,level,share,0.2066,,3.18,,*,,,high,Share of non-preserved agricultural and forest land within 100 m buffer; predicted (IV) value in Howard County,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,LN_ACRE,lot_size,A_structural,log,acres,0.1045,,26.82,,*,,,high,Natural log of parcel size in acres,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,LN_AGE,age,A_structural,log,years,-0.0559,,-20.79,,*,,,high,Natural log of age of structure in years,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,LN_SQFT,living_area,A_structural,log,sqft,0.2518,,34.22,,,,,high,Natural log of structure size in square feet; no star printed although t = 34.22 (likely typographic omission); no star printed despite |t| > 1.96 (as printed),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,AVERAGE,condition,A_structural,dummy,binary,0.2258,,14.67,,*,,,high,Assessor quality grade average (omitted category: fair),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,GOOD_VGOOD,condition,A_structural,dummy,binary,0.4152,,24.96,,*,,,high,Assessor quality grade good or very good (omitted: fair),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,NUSTORY,storeys,A_structural,level,count,0.0675,,8.04,,*,,,high,Number of stories,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,BASEMENT,basement,A_structural,binary,binary,0.0847,,8.13,,*,,,high,,"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,FRAME,roof_materials,A_structural,binary,binary,-0.0736,,-7.85,,*,,,high,Framed structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,ALUM,roof_materials,A_structural,binary,binary,-0.0919,,-8.58,,*,,,high,Aluminum-sided structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,LN_POPDEN,density,F_neighbourhood,log,households per sq mile,0.0089,,2.62,,*,,,high,Natural log of census tract/block-group population density (households per square mile),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,%EDUCB,education_level,F_neighbourhood,level,share,0.2816,,4.86,,*,,,high,Share of population with bachelor's degree or higher (1990 Census block group),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,MEDHSINC,income,F_neighbourhood,level,USD,0.0,,13.31,,*,,,medium,"Median household income of census tract in dollars; coefficient printed as 0.0000 (rounded) in most columns; beta printed as 0.0000 — magnitude not recoverable, use t only","LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,LN_CITYDIST,cbd_distance,D_location,log,km,-0.0033,,-0.24,,,,,high,"Natural log of Euclidean distance to nearest of Washington DC or Baltimore; printed in units of 100 km (log, so scale does not affect the elasticity)","LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c1,5,1,9,LN_TOWNDIST,other,other,log,km,-0.0059,,-1.32,,,,,high,Natural log of distance to nearest town (units of 100 km),"LN_PRICE (natural log of full transaction price, USD)",log,OLS,5326.0,0.739,t,"Howard County, OLS; adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,P_LGPERMOPEN,green_space,E_environment,level,share,0.5869,,3.91,,*,,,high,"Share of permanently preserved open space within 1,600 m buffer; predicted (IV) value","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,SMPERMOPEN,green_space,E_environment,level,share,0.0489,,2.02,,*,,,high,Share of permanently preserved open space within 100 m buffer,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,P_LGAGFOREST,green_space,E_environment,level,share,-0.2035,,-2.31,,,,,high,"Share of non-preserved agricultural and forest land within 1,600 m buffer; predicted (IV) value; no star printed despite |t| > 1.96 (as printed)","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,P_SMAGFOREST,green_space,E_environment,level,share,0.1482,,1.75,,,,,high,Share of non-preserved agricultural and forest land within 100 m buffer; predicted (IV) value in Howard County,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,LN_ACRE,lot_size,A_structural,log,acres,0.1114,,23.79,,*,,,high,Natural log of parcel size in acres,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,LN_AGE,age,A_structural,log,years,-0.0566,,-18.56,,*,,,high,Natural log of age of structure in years,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,LN_SQFT,living_area,A_structural,log,sqft,0.2031,,29.46,,*,,,high,Natural log of structure size in square feet,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,AVERAGE,condition,A_structural,dummy,binary,0.23,,14.07,,*,,,high,Assessor quality grade average (omitted category: fair),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,GOOD_VGOOD,condition,A_structural,dummy,binary,0.412,,23.06,,*,,,high,Assessor quality grade good or very good (omitted: fair),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,NUSTORY,storeys,A_structural,level,count,0.0734,,8.97,,*,,,high,Number of stories,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,BASEMENT,basement,A_structural,binary,binary,0.0731,,7.15,,*,,,high,,"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,FRAME,roof_materials,A_structural,binary,binary,-0.0538,,-6.0,,*,,,high,Framed structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,ALUM,roof_materials,A_structural,binary,binary,-0.0601,,-5.65,,*,,,high,Aluminum-sided structure (omitted: all other construction types),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,LN_POPDEN,density,F_neighbourhood,log,households per sq mile,0.0041,,0.74,,,,,high,Natural log of census tract/block-group population density (households per square mile),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,%EDUCB,education_level,F_neighbourhood,level,share,0.1601,,1.62,,,,,high,Share of population with bachelor's degree or higher (1990 Census block group),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,MEDHSINC,income,F_neighbourhood,level,USD,0.0021,,5.7,,*,,,medium,"Median household income of census tract in dollars; printed 0.0021 in this column (scale inconsistent with other columns, possibly in thousands of dollars)","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,LN_CITYDIST,cbd_distance,D_location,log,km,0.0154,,1.68,,,,,high,"Natural log of Euclidean distance to nearest of Washington DC or Baltimore; printed in units of 100 km (log, so scale does not affect the elasticity)","LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e,1196e55c7401009f4e60d7c8db96469c1e13b00e:T5-c2,5,2,9,LN_TOWNDIST,other,other,log,km,0.0004,,0.05,,,,,high,Natural log of distance to nearest town (units of 100 km),"LN_PRICE (natural log of full transaction price, USD)",log,spatial_error,5326.0,0.7741,t,"Howard County, spatial error model (lambda 0.6339); adjusted R2"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.099,0.13,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.216,0.182,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.1,0.206,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.114,0.11,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.223,0.159,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.068,0.157,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.079,0.107,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.216,0.157,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),-0.007,0.146,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.08,0.03,,,***,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.038,0.045,,,,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.111,0.05,,,**,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.091,0.024,,,***,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.061,0.038,,,,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.1,0.028,,,***,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.088,0.024,,,***,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.065,0.038,,,*,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.094,0.028,,,***,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.516,0.113,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.498,0.125,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.523,0.163,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.496,0.089,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.455,0.105,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.48,0.131,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.494,0.088,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.46,0.104,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,House size (sq. ft.),living_area,A_structural,log,sqft,0.504,0.129,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.15,0.061,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.37,0.097,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.057,0.073,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.133,0.053,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.373,0.089,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.079,0.065,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.137,0.053,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.375,0.089,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.076,0.063,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.387,0.04,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.392,0.058,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.375,0.057,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.374,0.036,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.379,0.055,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.355,0.048,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.372,0.036,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.38,0.055,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.359,0.047,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Years since built,age,A_structural,log,years,-0.174,0.095,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Years since built,age,A_structural,log,years,-0.134,0.125,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Years since built,age,A_structural,log,years,-0.218,0.174,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Years since built,age,A_structural,log,years,-0.064,0.065,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Years since built,age,A_structural,log,years,-0.05,0.099,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Years since built,age,A_structural,log,years,-0.106,0.085,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,Years since built,age,A_structural,log,years,-0.07,0.065,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,Years since built,age,A_structural,log,years,-0.052,0.097,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,Years since built,age,A_structural,log,years,-0.102,0.087,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.232,0.075,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.267,0.096,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.181,0.115,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.213,0.074,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.255,0.105,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.187,0.104,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.211,0.074,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.241,0.103,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,Fireplace (0−1),fireplace,B_interior,binary,binary,0.191,0.104,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.29,0.106,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.165,0.119,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.333,0.159,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.375,0.088,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.196,0.134,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.463,0.117,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c7,2,7,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.365,0.086,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.513,se,Combined; Reduced model 2 (also drops nourishment dummies); adj. R2 0.497
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c8,2,8,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.207,0.133,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.572,se,San Diego; Reduced model 2 (also drops nourishment dummies); adj. R2 0.544
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c9,2,9,9,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.428,0.112,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.486,se,Santa Cruz; Reduced model 2 (also drops nourishment dummies); adj. R2 0.457
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.147,0.232,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),0.147,0.62,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.216,0.234,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.27,0.205,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),0.118,0.582,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.447,0.204,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.056,0.18,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),-0.001,0.456,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.124,0.168,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c4,2,4,9,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.087,0.137,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,281.0,0.516,se,"Combined; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.496"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c5,2,5,9,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),-0.205,0.408,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.574,se,"San Diego; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.538"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c6,2,6,9,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.209,0.104,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,151.0,0.497,se,"Santa Cruz; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); adj. R2 0.461"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Bedrooms,bedrooms,A_structural,log,count,-0.036,0.088,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Bedrooms,bedrooms,A_structural,log,count,-0.066,0.116,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Bedrooms,bedrooms,A_structural,log,count,0.032,0.137,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,9,Geotime,other,other,log,"years (erosion risk: years until erosion reference feature reaches property), log",0.008,0.066,,,,,,high,erosion-risk measure,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,9,Geotime,other,other,log,"years (erosion risk: years until erosion reference feature reaches property), log",-0.034,0.322,,,,,,high,erosion-risk measure,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,9,Geotime,other,other,log,"years (erosion risk: years until erosion reference feature reaches property), log",-0.001,0.076,,,,,,high,erosion-risk measure,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,10,Geotime squared,other,other,squared,years (squared log Geotime),-0.005,0.005,,,,,,high,square of log Geotime,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,10,Geotime squared,other,other,squared,years (squared log Geotime),-0.005,0.021,,,,,,high,square of log Geotime,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,10,Geotime squared,other,other,squared,years (squared log Geotime),-0.0,0.007,,,,,,high,square of log Geotime,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,10,Elevation (ft.),flood_risk,E_environment,log,"ft (first-floor height above base flood elevation), log",0.013,0.016,,,,,,high,flood protection measure; entered in logs per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,10,Elevation (ft.),flood_risk,E_environment,log,"ft (first-floor height above base flood elevation), log",-0.004,0.027,,,,,,high,flood protection measure; entered in logs per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,10,Elevation (ft.),flood_risk,E_environment,log,"ft (first-floor height above base flood elevation), log",0.02,0.023,,,,,,high,flood protection measure; entered in logs per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,10,Distance to water (ft.),water_proximity,E_environment,log,ft,-0.009,0.043,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,10,Distance to water (ft.),water_proximity,E_environment,log,ft,0.027,0.109,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,10,Distance to water (ft.),water_proximity,E_environment,log,ft,-0.023,0.049,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,10,Beach width,other,other,log,"ft (beach width), log",0.015,0.021,,,,,,high,beach width in front of property,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,10,Beach width,other,other,log,"ft (beach width), log",0.019,0.031,,,,,,high,beach width in front of property,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,10,Beach width,other,other,log,"ft (beach width), log",0.013,0.029,,,,,,high,beach width in front of property,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c1,2,1,10,Built Post-FIRM,flood_risk,E_environment,binary,binary (built after Flood Insurance Rate Map publication),-0.54,0.239,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,247.0,0.557,se,Combined; All variables; adj. R2 0.522
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c2,2,2,10,Built Post-FIRM,flood_risk,E_environment,binary,binary (built after Flood Insurance Rate Map publication),-0.58,0.356,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,130.0,0.623,se,San Diego; All variables; adj. R2 0.566
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T2-c3,2,3,10,Built Post-FIRM,flood_risk,E_environment,binary,binary (built after Flood Insurance Rate Map publication),-0.476,0.401,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,OLS,117.0,0.55,se,Santa Cruz; All variables; adj. R2 0.473
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.094,0.161,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.068,0.138,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),-0.008,0.128,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.103,0.163,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.06,0.136,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),-0.011,0.126,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.084,0.157,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),0.046,0.132,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,Seawall (0−1),other,other,binary,binary (property protected by seawall/armoring),-0.026,0.123,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.098,0.053,,,*,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.1,0.041,,,**,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.093,0.041,,,**,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.112,0.054,,,**,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.1,0.037,,,***,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.094,0.038,,,**,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.081,0.047,,,*,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.09,0.035,,,**,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,Percent seawalled (%),other,other,log,"share (% of waterfront structures in beach community with seawalls), log",-0.084,0.035,,,**,,,high,extent of coastal armoring in the beach community; log per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,House size (sq. ft.),living_area,A_structural,log,sqft,0.496,0.155,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,House size (sq. ft.),living_area,A_structural,log,sqft,0.48,0.117,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,House size (sq. ft.),living_area,A_structural,log,sqft,0.502,0.118,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,House size (sq. ft.),living_area,A_structural,log,sqft,0.519,0.155,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,House size (sq. ft.),living_area,A_structural,log,sqft,0.484,0.114,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,House size (sq. ft.),living_area,A_structural,log,sqft,0.508,0.115,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,House size (sq. ft.),living_area,A_structural,log,sqft,0.472,0.149,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,House size (sq. ft.),living_area,A_structural,log,sqft,0.468,0.112,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,House size (sq. ft.),living_area,A_structural,log,sqft,0.489,0.113,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.056,0.075,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.079,0.06,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.076,0.059,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.056,0.077,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.073,0.058,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.071,0.058,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.064,0.07,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.064,0.055,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,Lot size (sq. ft.),lot_size,A_structural,log,sqft,0.062,0.055,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.379,0.057,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.355,0.053,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.36,0.053,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.374,0.058,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.358,0.053,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.363,0.053,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.382,0.057,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.363,0.053,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,Years since last transaction,transaction_timing,G_market,log,"years (since purchase), log",-0.367,0.052,,,***,,,high,captures price appreciation since purchase year (survey-reported purchase price),"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Years since built,age,A_structural,log,years,-0.196,0.124,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Years since built,age,A_structural,log,years,-0.106,0.08,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,Years since built,age,A_structural,log,years,-0.1,0.081,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Years since built,age,A_structural,log,years,-0.21,0.127,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Years since built,age,A_structural,log,years,-0.113,0.079,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,Years since built,age,A_structural,log,years,-0.107,0.08,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Years since built,age,A_structural,log,years,-0.212,0.125,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Years since built,age,A_structural,log,years,-0.102,0.078,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,Years since built,age,A_structural,log,years,-0.097,0.079,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.176,0.116,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.187,0.108,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.191,0.108,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.183,0.117,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.177,0.108,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.184,0.108,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.142,0.119,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.165,0.108,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,Fireplace (0−1),fireplace,B_interior,binary,binary,0.171,0.108,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.333,0.131,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.463,0.101,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c3,4,Spatial lag model (3),17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.426,0.099,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.966"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.326,0.136,,,**,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.48,0.1,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c6,4,Spatial error model (3),17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.441,0.098,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.833"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.371,0.133,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.47,0.096,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c9,4,"Spatial ARAR(1,1) model (3)",17,Waterfront (0−1),waterfront,C_exterior,binary,binary,0.434,0.094,,,***,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model 2 (also drops nourishment dummies); ML estimation, inverse-distance weights; log-likelihood -107.458"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.208,0.263,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.446,0.251,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.216,0.264,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.458,0.252,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.2,0.264,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Waterfront nourishment (1−0),other,other,binary,binary (waterfront property with beach nourishment),-0.453,0.251,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.132,0.207,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c2,4,Spatial lag model (2),17,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.209,0.166,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,151.0,,se,"Santa Cruz only; Spatial lag model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.39"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.127,0.208,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c5,4,Spatial error model (2),17,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.22,0.163,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,151.0,,se,"Santa Cruz only; Spatial error model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -106.167"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.128,0.203,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c8,4,"Spatial ARAR(1,1) model (2)",17,Beach nourishment (1−0),other,other,binary,binary (beach nourishment reported in community),0.196,0.163,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,151.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; Reduced model (drops bedrooms, Geotime, elevation, distance to water, beach width, post-FIRM); ML estimation, inverse-distance weights; log-likelihood -105.846"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Bedrooms,bedrooms,A_structural,log,count,0.033,0.134,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Bedrooms,bedrooms,A_structural,log,count,0.028,0.136,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Bedrooms,bedrooms,A_structural,log,count,0.054,0.132,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),17,Geotime,other,other,log,"years (erosion risk: years until erosion reference feature reaches property), log",0.021,0.08,,,,,,high,erosion-risk measure,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),17,Geotime,other,other,log,"years (erosion risk: years until erosion reference feature reaches property), log",0.01,0.093,,,,,,high,erosion-risk measure,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",17,Geotime,other,other,log,"years (erosion risk: years until erosion reference feature reaches property), log",-0.007,0.076,,,,,,high,erosion-risk measure,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),18,Geotime squared,other,other,squared,years (squared log Geotime),-0.002,0.006,,,,,,high,square of log Geotime,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),18,Geotime squared,other,other,squared,years (squared log Geotime),-0.001,0.007,,,,,,high,square of log Geotime,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",18,Geotime squared,other,other,squared,years (squared log Geotime),-0.0,0.006,,,,,,high,square of log Geotime,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),18,Elevation (ft.),flood_risk,E_environment,log,"ft (first-floor height above base flood elevation), log",0.027,0.021,,,,,,high,flood protection measure; entered in logs per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),18,Elevation (ft.),flood_risk,E_environment,log,"ft (first-floor height above base flood elevation), log",0.02,0.02,,,,,,high,flood protection measure; entered in logs per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",18,Elevation (ft.),flood_risk,E_environment,log,"ft (first-floor height above base flood elevation), log",0.036,0.02,,,*,,,high,flood protection measure; entered in logs per Eq. 4,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),18,Distance to water (ft.),water_proximity,E_environment,log,ft,-0.033,0.049,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),18,Distance to water (ft.),water_proximity,E_environment,log,ft,-0.03,0.059,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",18,Distance to water (ft.),water_proximity,E_environment,log,ft,-0.009,0.049,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),18,Beach width,other,other,log,"ft (beach width), log",0.01,0.022,,,,,,high,beach width in front of property,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),18,Beach width,other,other,log,"ft (beach width), log",0.013,0.022,,,,,,high,beach width in front of property,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",18,Beach width,other,other,log,"ft (beach width), log",0.005,0.023,,,,,,high,beach width in front of property,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c1,4,Spatial lag model (1),18,Built Post-FIRM,flood_risk,E_environment,binary,binary (built after Flood Insurance Rate Map publication),-0.426,0.29,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_lag,117.0,,se,"Santa Cruz only; Spatial lag model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.103"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c4,4,Spatial error model (1),18,Built Post-FIRM,flood_risk,E_environment,binary,binary (built after Flood Insurance Rate Map publication),-0.449,0.312,,,,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,spatial_error,117.0,,se,"Santa Cruz only; Spatial error model; All variables; ML estimation, inverse-distance weights; log-likelihood -71.586"
11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d,11ddac3108d5fcc806866635ea2276160f2ca53d:T4-c7,4,"Spatial ARAR(1,1) model (1)",18,Built Post-FIRM,flood_risk,E_environment,binary,binary (built after Flood Insurance Rate Map publication),-0.512,0.302,,,*,,,high,,"ln(property price), owner-reported purchase price in 2014 US$",log,SAC,117.0,,se,"Santa Cruz only; Spatial ARAR(1,1) model; All variables; ML estimation, inverse-distance weights; log-likelihood -70.669"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,Ar,living_area,A_structural,level,m2,0.0029,0.0002,13.05,0.0,,,,high,Building area in m2 (range 40-200),Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,D,condition,A_structural,other,index,0.0219,0.0025,8.88,0.0,,,,high,"Decoration/finish level ordinal score: blank 2, simple 4, medium 6, hardcover 8, luxury 10",Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,F,floor_level,A_structural,other,index,0.0285,0.0048,5.93,0.0,,,,high,"Floor position ordinal score 1-3/4 (high-rise: low 1, middle 3, high 2; low-rise: low 3, medium 2, high 1), not floor number",Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,EH,accessibility,B_interior,level,share,0.099,0.019,5.22,0.0,,,,high,"Elevators per household on the floor (number of elevators / number of units on the floor), proxy for elevator access",Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,Ag,age,A_structural,level,years,-0.0157,0.001,-15.74,0.0,,,,high,"Age = 2022.4.1 minus year built, years",Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,B,transit_distance,D_location,other,index,0.0005,0.0002,2.99,0.003,,,,high,"Bus: number of bus routes divided by distance to bus stop (quantity/distance), higher = better access; sign opposite to a distance measure",Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,MR,highway_distance,D_location,other,index,-0.0037,0.0014,-2.68,0.007,,,,high,Main road: inverse geographical distance (anti-distance); negative sign means closer to main road lowers price,Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,SM,commercial_distance,D_location,other,index,0.0035,0.0018,1.98,0.048,,,,high,"Shopping mall: service-capacity score (municipal 3, district 2, street 1) divided by distance",Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,CBD,cbd_distance,D_location,other,index,0.4269,0.1393,3.06,0.002,,,,high,CBD: inverse geographical distance (anti-distance); positive sign means closer to CBD raises price,Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1,122e07c191e40cdc3321c3817fb731f2d55466e1:T9-SDM,9,1,11,P,green_space,E_environment,other,index,0.0048,0.0018,2.61,0.009,,,,high,Park: inverse geographical distance (anti-distance),Ln unit listing price (yuan/m2),log,spatial_lag,429.0,0.9037,none,"Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,surf _build,living_area,A_structural,other,m2,0.0048,,,,***,,,medium,"Surface area of building in m2 (mean 101.7); form not stated, magnitude consistent with level; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,surf _build,living_area,A_structural,other,m2,0.0047,,,0.0001,***,,,medium,"Surface area of building in m2 (mean 101.7); form not stated, magnitude consistent with level","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,surf_area,lot_size,A_structural,other,m2,0.045,,,,***,,,medium,"Land surface in m2 (mean 762.8); form not stated, magnitude suggests log; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,surf_area,lot_size,A_structural,other,m2,0.0455,,,0.0016,***,,,medium,"Land surface in m2 (mean 762.8); form not stated, magnitude suggests log","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,Rooms,bedrooms,A_structural,level,count,0.0115,,,,***,,,high,Number of main rooms; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,Rooms,bedrooms,A_structural,level,count,0.0112,,,0.0021,***,,,high,Number of main rooms,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,Terrace,terrace_balcony,C_exterior,binary,binary,0.077,,,,***,,,high,; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,Terrace,terrace_balcony,C_exterior,binary,binary,0.0688,,,0.0046,***,,,high,,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,Swim,pool,C_exterior,binary,binary,0.186,,,,***,,,high,; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,Swim,pool,C_exterior,binary,binary,0.1777,,,0.0068,***,,,high,,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,Bathroom,bathrooms,A_structural,binary,binary,0.0763,,,,***,,,high,More than one bathroom/shower room; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,Bathroom,bathrooms,A_structural,binary,binary,0.0709,,,0.005,***,,,high,More than one bathroom/shower room,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,Garage,garage,A_structural,binary,binary,0.0287,,,,***,,,high,; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,Garage,garage,A_structural,binary,binary,0.0331,,,0.0041,***,,,high,,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,Condition,condition,A_structural,binary,binary,0.0611,,,,***,,,high,House in good condition; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,Condition,condition,A_structural,binary,binary,0.0579,,,0.005,***,,,high,House in good condition,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,dist_road,highway_distance,D_location,other,m,0.1278,,,,***,,,medium,"Distance to nearest main road in m (mean 3,654); form not stated, magnitude suggests log; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,dist_road,highway_distance,D_location,other,m,0.1231,,,0.0187,**,,,medium,"Distance to nearest main road in m (mean 3,654); form not stated, magnitude suggests log","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,dist_BX,cbd_distance,D_location,level,m,0.0,,,,***,,,low,Distance to Bordeaux town hall in m; coefficient printed '<=0.000' (negative per text); magnitude not recoverable; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,dist_BX,cbd_distance,D_location,level,m,0.0,,,0.0,***,,,low,Distance to Bordeaux town hall in m; coefficient printed '<=0.000' (negative per text); magnitude not recoverable,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,dist_river,water_proximity,E_environment,other,m,0.0472,,,,***,,,medium,"Distance to the Garonne river in m (mean 4,584); form not stated, magnitude suggests log; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,dist_river,water_proximity,E_environment,other,m,0.0487,,,0.0036,***,,,medium,"Distance to the Garonne river in m (mean 4,584); form not stated, magnitude suggests log","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,Isolation,other,other,other,m,0.1041,,,,***,,,medium,"Isolation index (average distance to reference facilities, m); form not stated; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,Isolation,other,other,other,m,0.0986,,,0.0166,**,,,medium,"Isolation index (average distance to reference facilities, m); form not stated","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,dist_road∗isolation,other,other,other,index,-0.0129,,,,***,,,medium,Interaction dist_road x isolation; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,dist_road∗isolation,other,other,other,index,-0.0123,,,0.0021,***,,,medium,Interaction dist_road x isolation,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,surf_nature,green_space,E_environment,other,m2,0.0125,,,,***,,,medium,"Green and water surface within 200 m radius (m2); form not stated, magnitude suggests log; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,surf_nature,green_space,E_environment,other,m2,0.0121,,,0.0022,***,,,medium,"Green and water surface within 200 m radius (m2); form not stated, magnitude suggests log","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,surf_built_neigh,density,F_neighbourhood,other,m2,-0.076,,,,***,,,medium,"Built (living) area within 200 m radius (m2); form not stated, magnitude suggests log; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,surf_built_neigh,density,F_neighbourhood,other,m2,-0.0786,,,0.0049,***,,,medium,"Built (living) area within 200 m radius (m2); form not stated, magnitude suggests log","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,height_built_neigh,other,other,level,m,0.1493,,,,***,,,medium,"Average building height within 200 m (m, mean 6.71); perceived-density proxy; p printed as <0.0000","log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,height_built_neigh,other,other,level,m,0.1485,,,0.0053,***,,,medium,"Average building height within 200 m (m, mean 6.71); perceived-density proxy","log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,social_compo_G2,demographics,F_neighbourhood,dummy,binary,0.0279,,,0.0006,***,,,high,IRIS social composition group 2 (least favourable socioeconomic conditions; ref. G1 mixed),"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,social_compo_G2,demographics,F_neighbourhood,dummy,binary,0.0318,,,0.0094,***,,,high,IRIS social composition group 2 (least favourable socioeconomic conditions; ref. G1 mixed),"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,social_compo_G3,demographics,F_neighbourhood,dummy,binary,0.156,,,,***,,,high,IRIS social composition group 3 (majority favourable socioeconomic conditions; ref. G1 mixed); p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,social_compo_G3,demographics,F_neighbourhood,dummy,binary,0.1615,,,0.0071,***,,,high,IRIS social composition group 3 (majority favourable socioeconomic conditions; ref. G1 mixed),"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,BM,other,other,binary,binary,0.1946,,,,***,,,high,Located within Bordeaux Metropole; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,BM,other,other,binary,binary,0.1962,,,0.0096,***,,,high,Located within Bordeaux Metropole,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,CatNat,flood_risk,E_environment,binary,binary,0.0748,,,,***,,,high,Municipality with >= 9 natural-disaster (CatNat) declarations; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,CatNat,flood_risk,E_environment,binary,binary,0.075,,,0.0066,***,,,high,Municipality with >= 9 natural-disaster (CatNat) declarations,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,PPRI,flood_risk,E_environment,binary,binary,-0.1143,,,,***,,,high,Located within a PPRI flood-risk prevention zone; p printed as <0.0000,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,PPRI,flood_risk,E_environment,binary,binary,-0.1153,,,0.0158,**,,,high,Located within a PPRI flood-risk prevention zone,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c1,2,1,6,CatNat∗PPRI,flood_risk,E_environment,other,binary,0.0583,,,0.002,***,,,high,Interaction PPRI x CatNat,"log P (sale price, EUR)",log,OLS,24871.0,,p,MCO (OLS) benchmark; year dummies included
13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500,13561959c7aabb108ebf10b83cf499e51f169500:T2-c2,2,2,6,CatNat∗PPRI,flood_risk,E_environment,other,binary,0.0532,,,0.0178,**,,,high,Interaction PPRI x CatNat,"log P (sale price, EUR)",log,spatial_error,24871.0,,p,"SEM, ML, W = 1 nearest neighbour; lambda 0.1609; year dummies included"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Bedrooms,bedrooms,A_structural,level,count,0.142,0.00158,90.152,,***,,,high,Number of bedrooms; printed p-value '<2.00e-6',"log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Bathrooms,bathrooms,A_structural,level,count,0.0489,0.00148,33.016,,***,,,high,Number of bathrooms; printed p-value '<2.00e-6',"log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Sydney,cbd_distance,D_location,level,m,-1.45e-05,1.69e-07,-85.66,,***,,,medium,"Network/Euclidean distance to Sydney CBD; distance unit not stated in the paper, coefficient magnitudes (1e-5 per unit) are consistent with metres; printed p-value '<2.00e-6'","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Secondary City,other,other,level,m,7.07e-07,1.74e-07,4.065,4.82e-05,***,,,medium,"Distance to the nearest secondary city centre (e.g. Parramatta); printed name 'Distance to Secondary City'; unit not stated, assumed metres","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Beach,water_proximity,E_environment,level,m,-2.44e-06,2.24e-07,-10.916,,***,,,medium,"Distance to nearest beach; unit not stated, assumed metres; printed p-value '<2.00e-6'","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Bus Interchanges,transit_distance,D_location,level,m,2.91e-06,4.83e-07,6.031,1.65e-09,***,,,medium,"Distance to nearest bus interchange; unit not stated, assumed metres","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Highway,highway_distance,D_location,level,m,7.5e-06,4.44e-07,16.883,,***,,,medium,"Distance to nearest highway/motorway; unit not stated, assumed metres; printed p-value '<2.00e-6'","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Primary School,school_distance,D_location,level,m,1.02e-05,3.26e-06,3.118,0.00182,**,,,medium,"Distance to nearest primary school; unit not stated, assumed metres","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to University,university_distance,D_location,level,m,1.12e-06,4.27e-07,2.617,0.00889,**,,,medium,"Distance to nearest university; unit not stated, assumed metres","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Swimming Pool,neighbourhood_amenities,F_neighbourhood,level,m,-4.61e-06,9.32e-07,-4.952,7.4e-07,***,,,medium,"Distance to nearest (public) swimming pool facility - a recreational amenity, NOT a private pool; unit not stated, assumed metres","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Shopping Centre,commercial_distance,D_location,level,m,1.11e-05,7.5e-07,14.774,,***,,,medium,"Distance to nearest shopping centre; unit not stated, assumed metres; printed p-value '<2.00e-6'","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Distance to Sport Centre,neighbourhood_amenities,F_neighbourhood,level,m,9e-06,7.27e-07,12.378,,***,,,medium,"Distance to nearest sports centre; unit not stated, assumed metres; printed p-value '<2.00e-6'","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Population Above 65 (%),demographics,F_neighbourhood,level,share,0.00508,0.000217,23.355,,***,,,medium,Share of SA1 population aged over 65 (printed as %); scale (0-1 vs 0-100) not stated; printed p-value '<2.00e-6',"log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Crime Rate (%),crime,F_neighbourhood,level,share,-0.0435,0.0162,-2.681,0.00735,**,,,medium,Local crime rate (printed as %); scale not stated,"log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Low Income (%),income,F_neighbourhood,level,share,-0.187,0.0575,-3.244,0.00118,**,,,medium,Share of SA1 population in the low-income group (2016 census); printed as % but magnitude of coefficient suggests a 0-1 proportion; authors read -0.187 as -0.2 per cent,"log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Middle Income (%),income,F_neighbourhood,level,share,-0.102,0.058,-1.758,0.0788,.,,,medium,"Share of SA1 population in the middle-income group; printed as %, scale not stated","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,High Income (%),income,F_neighbourhood,level,share,2.51,0.0597,41.983,,***,,,medium,"Share of SA1 population in the high-income group; printed as %, scale not stated; authors read 2.51 as 2.5 per cent; printed p-value '<2.00e-6'","log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T4-c1,4,1,19,Accessibility Score,employment_access,D_location,level,index,0.273,0.0868,3.142,0.00168,**,,,high,Gravity-model employment accessibility score standardised to 0-1,"log(house sale price), AUD",log,OLS,32050.0,0.8103,se,"Greater Sydney detached houses sold in two quarters of 2016 (APM); SE, t and p in separate columns; adj. R2 0.8102"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Bedrooms,bedrooms,A_structural,level,count,0.14,,,,,,,medium,"Number of bedrooms; GWR summary: beta = median of local coefficients; min 0.11, Q1 0.12, Q3 0.16, max 0.19; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Bathrooms,bathrooms,A_structural,level,count,0.051,,,,,,,medium,"Number of bathrooms; GWR summary: beta = median of local coefficients; min 0.028, Q1 0.04, Q3 0.058, max 0.081; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Sydney,cbd_distance,D_location,level,m,-2.3e-05,,,,,,,medium,"Network/Euclidean distance to Sydney CBD; distance unit not stated in the paper, coefficient magnitudes (1e-5 per unit) are consistent with metres; GWR summary: beta = median of local coefficients; min -3.4e-05, Q1 -3e-05, Q3 -1.5e-05, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Secondary City,other,other,level,m,-5.6e-07,,,,,,,medium,"Distance to the nearest secondary city centre (e.g. Parramatta); printed name 'Distance to Secondary City'; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -1.6e-05, Q1 -4.7e-06, Q3 4.1e-06, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Beach,water_proximity,E_environment,level,m,2.3e-06,,,,,,,medium,"Distance to nearest beach; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -3.8e-05, Q1 -8.7e-06, Q3 8.7e-06, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Bus Interchanges,transit_distance,D_location,level,m,-3.2e-06,,,,,,,medium,"Distance to nearest bus interchange; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -3.8e-05, Q1 -9.7e-06, Q3 4.4e-06, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Highway,highway_distance,D_location,level,m,7.6e-06,,,,,,,medium,"Distance to nearest highway/motorway; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -1.8e-05, Q1 3e-06, Q3 1.1e-05, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Primary School,school_distance,D_location,level,m,2.7e-05,,,,,,,medium,"Distance to nearest primary school; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -3.7e-05, Q1 1.3e-05, Q3 4.5e-05, max 0.0001; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to University,university_distance,D_location,level,m,6.5e-06,,,,,,,medium,"Distance to nearest university; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -2.1e-05, Q1 2.3e-06, Q3 1.1e-05, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Swimming Pool,neighbourhood_amenities,F_neighbourhood,level,m,-4.5e-06,,,,,,,medium,"Distance to nearest (public) swimming pool facility - a recreational amenity, NOT a private pool; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -2.7e-05, Q1 -1.3e-05, Q3 6.8e-06, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Shopping Centres,commercial_distance,D_location,level,m,7.2e-06,,,,,,,medium,"Distance to nearest shopping centre; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -1.5e-05, Q1 -4e-07, Q3 1.8e-05, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Distance to Sports Centres,neighbourhood_amenities,F_neighbourhood,level,m,6.7e-06,,,,,,,medium,"Distance to nearest sports centre; unit not stated, assumed metres; GWR summary: beta = median of local coefficients; min -1.2e-05, Q1 3.6e-06, Q3 1.4e-05, max 0.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Population Above 65,demographics,F_neighbourhood,level,share,0.0037,,,,,,,medium,"Share of SA1 population aged over 65 (printed as %); scale (0-1 vs 0-100) not stated; GWR summary: beta = median of local coefficients; min 0.0012, Q1 0.0026, Q3 0.0058, max 0.0089; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Crime Rate,crime,F_neighbourhood,level,share,-0.021,,,,,,,medium,"Local crime rate (printed as %); scale not stated; GWR summary: beta = median of local coefficients; min -0.31, Q1 -0.08, Q3 0.1, max 0.68; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Low Income (%),income,F_neighbourhood,level,share,-0.28,,,,,,,medium,"Share of SA1 population in the low-income group (2016 census); printed as % but magnitude of coefficient suggests a 0-1 proportion; authors read -0.187 as -0.2 per cent; GWR summary: beta = median of local coefficients; min -7.2, Q1 -0.38, Q3 -0.16, max 5.0; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Middle Income (%),income,F_neighbourhood,level,share,-0.18,,,,,,,medium,"Share of SA1 population in the middle-income group; printed as %, scale not stated; GWR summary: beta = median of local coefficients; min -6.6, Q1 -0.31, Q3 -0.067, max 5.4; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,High Income (%),income,F_neighbourhood,level,share,1.7,,,,,,,medium,"Share of SA1 population in the high-income group; printed as %, scale not stated; authors read 2.51 as 2.5 per cent; GWR summary: beta = median of local coefficients; min -4.5, Q1 1.5, Q3 1.8, max 7.7; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526,13a61953f01e5f8f119d4fa1872eb72503252526:T5-c1,5,Median,20,Accessibility Score,employment_access,D_location,level,index,0.00033,,,,,,,medium,"Gravity-model employment accessibility score standardised to 0-1; GWR summary: beta = median of local coefficients; min -0.78, Q1 -0.28, Q3 0.57, max 1.1; no standard error reported","log(house sale price), AUD",log,GWR,32068.0,0.8458,none,"GWR (adaptive bi-square kernel, AIC bandwidth); Table 5 reports the distribution (min, Q1, median, Q3, max) of local coefficients - the MEDIAN local estimate is recorded as beta, no SE; adj. R2 0.8449"
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,age,age,A_structural,level,years,-0.004,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,age,age,A_structural,level,years,-0.001,,,,,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,age,age,A_structural,level,years,-0.003,,,,,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,age,age,A_structural,level,years,-0.006,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,squared age,age,A_structural,squared,years,4.37e-05,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,squared age,age,A_structural,squared,years,2.59e-05,,,,,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,squared age,age,A_structural,squared,years,4.16e-05,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,squared age,age,A_structural,squared,years,8.21e-05,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,height,storeys,A_structural,level,count,0.125,,,,*,,,medium,"story height (number of stories); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,height,storeys,A_structural,level,count,0.062,,,,*,,,medium,"story height (number of stories); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,height,storeys,A_structural,level,count,0.076,,,,*,,,medium,"story height (number of stories); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,height,storeys,A_structural,level,count,0.053,,,,,,,medium,"story height (number of stories); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,no fuel,heating,A_structural,binary,binary,-0.796,,,,*,,,medium,"dummy for no heating fuel; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,no fuel,heating,A_structural,binary,binary,0.302,,,,,,,medium,"dummy for no heating fuel; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,no fuel,heating,A_structural,binary,binary,0.032,,,,,,,medium,"dummy for no heating fuel; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,no fuel,heating,A_structural,binary,binary,-0.794,,,,*,,,medium,"dummy for no heating fuel; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,central air conditioning,air_conditioning,A_structural,binary,binary,0.045,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,central air conditioning,air_conditioning,A_structural,binary,binary,0.08,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,central air conditioning,air_conditioning,A_structural,binary,binary,0.09,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,central air conditioning,air_conditioning,A_structural,binary,binary,0.101,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,building grade,condition,A_structural,level,ordinal (1-5),0.034,,,,*,,,medium,"quality of structure, below average to excellent (1-5); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,building grade,condition,A_structural,level,ordinal (1-5),0.027,,,,*,,,medium,"quality of structure, below average to excellent (1-5); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,building grade,condition,A_structural,level,ordinal (1-5),0.032,,,,*,,,medium,"quality of structure, below average to excellent (1-5); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,building grade,condition,A_structural,level,ordinal (1-5),0.059,,,,*,,,medium,"quality of structure, below average to excellent (1-5); no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,# fireplaces,fireplace,B_interior,level,count,0.089,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,# fireplaces,fireplace,B_interior,level,count,0.064,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,# fireplaces,fireplace,B_interior,level,count,0.057,,,,*,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,# fireplaces,fireplace,B_interior,level,count,0.004,,,,,,,medium,"no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,ln (heated area),living_area,A_structural,log,sqft,0.337,,,,*,,,medium,"heated area in square feet, log; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,ln (heated area),living_area,A_structural,log,sqft,0.392,,,,*,,,medium,"heated area in square feet, log; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,ln (heated area),living_area,A_structural,log,sqft,0.338,,,,*,,,medium,"heated area in square feet, log; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,ln (heated area),living_area,A_structural,log,sqft,0.455,,,,*,,,medium,"heated area in square feet, log; no SE printed, * = significant at p<0.05","ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T1,3,T1,6,ln (network distance),transit_distance,D_location,log,ft,0.123,0.028,,,*,,,high,log of network distance (feet) to nearest light rail station; SE printed in table; * = p<0.05,"ln(sales price, 2005 constant USD)",log,OLS,1592.0,0.779,none,1997-1998 (pre-planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T2,3,T2,6,ln (network distance),transit_distance,D_location,log,ft,0.169,0.022,,,*,,,high,log of network distance (feet) to nearest light rail station; SE printed in table; * = p<0.05,"ln(sales price, 2005 constant USD)",log,OLS,2568.0,0.786,none,1999-2005 (planning)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T3,3,T3,6,ln (network distance),transit_distance,D_location,log,ft,0.148,0.027,,,*,,,high,log of network distance (feet) to nearest light rail station; SE printed in table; * = p<0.05,"ln(sales price, 2005 constant USD)",log,OLS,1308.0,0.811,none,2005-2007 (construction)
14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a,14eecd7db66f7a02fa146490275ce97a19765a1a:T3-T4,3,T4,6,ln (network distance),transit_distance,D_location,log,ft,0.052,0.033,,,,,,high,log of network distance (feet) to nearest light rail station; SE printed in table; * = p<0.05,"ln(sales price, 2005 constant USD)",log,OLS,913.0,0.837,none,2007-2008 (operation)
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,log(LIVAREA),living_area,A_structural,log,sqft,0.803,0.004,,,***,0.796,0.81,high,air-conditioned living area in sq ft,"log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,log(ACREAGE),lot_size,A_structural,log,acres,0.078,0.001,,,***,0.075,0.08,high,,"log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,log(MHHI),income,F_neighbourhood,log,currency,0.222,0.004,,,***,0.214,0.23,high,"median household income by zip code, USD","log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,log(NBEDS),bedrooms,A_structural,log,count,0.042,0.003,,,***,0.034,0.049,high,,"log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,log(NBATHS),bathrooms,A_structural,log,count,-0.06,0.004,,,***,-0.067,-0.052,high,,"log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,log(AGE),age,A_structural,log,years,-0.173,0.002,,,***,-0.177,-0.168,high,see study note on years vs decades,"log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,Pool,pool,C_exterior,binary,binary,0.024,0.002,,,***,0.02,0.028,high,,"log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T6-c1,6,1,18,County*Pool,pool,C_exterior,other,binary,0.035,0.003,,,***,0.029,0.042,high,interaction Orange County x pool,"log(JMV, just market value USD)",log,OLS,30555.0,0.911,se,Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T4-c1,4,Production frontier,17,log(LIVAREA),living_area,A_structural,log,sqft,0.8086,0.0032,,,***,,,high,,"log(JMV, just market value USD)",log,other,30555.0,,se,"Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T4-c1,4,Production frontier,17,log(NBEDS),bedrooms,A_structural,log,count,0.048,0.0032,,,***,,,high,,"log(JMV, just market value USD)",log,other,30555.0,,se,"Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T4-c1,4,Production frontier,17,log(NBATHS),bathrooms,A_structural,log,count,-0.0615,0.0038,,,***,,,high,,"log(JMV, just market value USD)",log,other,30555.0,,se,"Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T4-c1,4,Production frontier,17,log(MHHI),income,F_neighbourhood,log,currency,0.2214,0.0037,,,***,,,high,"median household income by zip code, USD","log(JMV, just market value USD)",log,other,30555.0,,se,"Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T4-c1,4,Production frontier,17,log(ACREAGE),lot_size,A_structural,log,acres,0.075,0.0013,,,***,,,high,,"log(JMV, just market value USD)",log,other,30555.0,,se,"Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"
154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3,154f55871a6811fb1dd94f5c020e97dabe79c8c3:T4-c1,4,Production frontier,17,log(AGE),age,A_structural,log,years,-0.196,0.0024,,,***,,,medium,Table cell is typeset as '-8***' (typo); value -0.196 taken from the text on p. 19 ('a 1% increase in the age of the property reduces the JMV by 0.196%'); SE as printed in table,"log(JMV, just market value USD)",log,other,30555.0,,se,"Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.493,0.014,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.543,0.018,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.488,0.014,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.031,0.006,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,-0.103,0.009,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.265,0.025,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.31,0.027,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.488,0.014,,,***,,,low,house vs flat; in models with interaction the house effect also depends on surface; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.239,0.012,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Type of Dwelling: House (ref. Flat),dwelling_type,A_structural,dummy,binary,0.082,0.016,,,***,,,high,house vs flat; in models with interaction the house effect also depends on surface,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Surface,living_area,A_structural,level,m2,0.006,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Surface,living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Surface,living_area,A_structural,level,m2,0.006,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Surface,living_area,A_structural,level,m2,0.003,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Surface,living_area,A_structural,level,m2,0.003,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Surface,living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Surface,living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Surface,living_area,A_structural,level,m2,0.006,0.0,,,***,,,low,dwelling surface in m2; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Surface,living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Surface,living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,dwelling surface in m2; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,low,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use; SE printed as 0.000 (rounded)",log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Plot size,lot_size,A_structural,level,m2,0.0,0.0,,,,,,high,"plot surface in m2; coded 0 when not mentioned (mostly flats); coefficient printed as 0.000 (rounded, not significant); SE printed as 0.000 (rounded)",log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.089,0.014,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.134,0.018,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.093,0.014,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.066,0.01,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.051,0.016,,,**,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.228,0.036,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.12,0.037,,,**,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.093,0.014,,,***,,,low,"construction-period dummy, not age in years; reference category pre-1950; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use",log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,0.042,0.022,,,.,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Construction year: 1950-1969 (ref. pre 1950),age,A_structural,dummy,binary,-0.02,0.029,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.118,0.022,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.229,0.028,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.119,0.022,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.078,0.012,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.223,0.018,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.2035,0.043,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.1091,0.045,,,*,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.119,0.022,,,***,,,low,"construction-period dummy, not age in years; reference category pre-1950; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use",log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,0.028,0.024,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Construction year: 1970-1989 (ref. pre 1950),age,A_structural,dummy,binary,-0.0641,0.031,,,*,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.162,0.038,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.192,0.049,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.164,0.038,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.118,0.013,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.088,0.02,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.266,0.099,,,**,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.038,0.107,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.164,0.038,,,***,,,low,"construction-period dummy, not age in years; reference category pre-1950; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use",log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,0.037,0.026,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Construction year: 1990-1999 (ref. pre 1950),age,A_structural,dummy,binary,-0.145,0.034,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.146,0.073,,,*,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.196,0.094,,,*,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.14,0.073,,,.,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.113,0.012,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.102,0.019,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.292,0.119,,,*,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.155,0.128,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.14,0.073,,,.,,,low,"construction-period dummy, not age in years; reference category pre-1950; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use",log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,0.054,0.024,,,*,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Construction year: 2000-2009 (ref. pre 1950),age,A_structural,dummy,binary,-0.111,0.031,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.216,0.203,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.33,0.262,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.205,0.204,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.04,0.011,,,***,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.028,0.018,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.296,0.105,,,**,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.288,0.116,,,*,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.205,0.204,,,,,,low,"construction-period dummy, not age in years; reference category pre-1950; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use",log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,0.078,0.024,,,**,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Construction year: 2010-2020 (ref. pre 1950),age,A_structural,dummy,binary,-0.024,0.032,,,,,,high,"construction-period dummy, not age in years; reference category pre-1950",log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.143,0.006,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.1,0.008,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.143,0.006,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.242,0.005,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.181,0.009,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.119,0.006,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.112,0.007,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.143,0.006,,,***,,,low,bedroom-count category dummy; reference = 1 bedroom; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.12,0.006,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Number of bedrooms: 2 (ref. 1),bedrooms,A_structural,dummy,binary,0.092,0.008,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.182,0.008,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.122,0.011,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.183,0.008,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.375,0.006,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.32,0.01,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.165,0.01,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.146,0.011,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.183,0.008,,,***,,,low,bedroom-count category dummy; reference = 1 bedroom; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.166,0.009,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Number of bedrooms: 3 (ref. 1),bedrooms,A_structural,dummy,binary,0.154,0.013,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,0.226,0.01,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,0.15,0.013,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,0.224,0.01,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,0.419,0.008,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,0.372,0.013,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,-0.137,0.009,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,-0.135,0.01,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,0.224,0.01,,,***,,,low,bedroom-count category dummy; reference = 1 bedroom; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,-0.145,0.009,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Number of bedrooms: 4+ (ref. 1),bedrooms,A_structural,dummy,binary,-0.109,0.012,,,***,,,high,bedroom-count category dummy; reference = 1 bedroom,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.063,0.019,,,***,,,high,energy passport class E-G vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.083,0.024,,,***,,,high,energy passport class E-G vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.068,0.018,,,***,,,high,energy passport class E-G vs H-I,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.032,0.006,,,***,,,high,energy passport class E-G vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.155,0.01,,,***,,,high,energy passport class E-G vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.317,0.045,,,***,,,high,energy passport class E-G vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.25,0.048,,,***,,,high,energy passport class E-G vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.068,0.018,,,***,,,low,energy passport class E-G vs H-I; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.032,0.01,,,**,,,high,energy passport class E-G vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Energy Efficiency Class: medium (E-G) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.243,0.012,,,***,,,high,energy passport class E-G vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.157,0.061,,,*,,,high,energy passport class A-D vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.268,0.077,,,***,,,high,energy passport class A-D vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.141,0.06,,,*,,,high,energy passport class A-D vs H-I,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.132,0.007,,,***,,,high,energy passport class A-D vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.217,0.011,,,***,,,high,energy passport class A-D vs H-I,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.358,0.106,,,***,,,high,energy passport class A-D vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.285,0.116,,,*,,,high,energy passport class A-D vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.141,0.06,,,*,,,low,energy passport class A-D vs H-I; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.123,0.013,,,***,,,high,energy passport class A-D vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Energy Efficiency Class: high (A-D) (ref. low H-I),energy_efficiency,A_structural,dummy,binary,0.29,0.016,,,***,,,high,energy passport class A-D vs H-I,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,0.009,0.014,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,-0.043,0.018,,,*,,,high,state of dwelling: new-build vs planned (off-plan),log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,0.003,0.014,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,0.016,0.015,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,-0.021,0.024,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,-0.006,0.019,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,-0.029,0.022,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,-0.005,0.014,,,,,,low,state of dwelling: new-build vs planned (off-plan); column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,0.004,0.02,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Dwelling State: new-build (ref. planned),condition,A_structural,dummy,binary,0.003,0.026,,,,,,high,state of dwelling: new-build vs planned (off-plan),log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.032,0.007,,,***,,,high,state of dwelling: good vs planned,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.085,0.009,,,***,,,high,state of dwelling: good vs planned,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.038,0.007,,,***,,,high,state of dwelling: good vs planned,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.044,0.007,,,***,,,high,state of dwelling: good vs planned,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.065,0.011,,,***,,,high,state of dwelling: good vs planned,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.033,0.01,,,**,,,high,state of dwelling: good vs planned,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.02,0.011,,,.,,,high,state of dwelling: good vs planned,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.038,0.007,,,***,,,low,state of dwelling: good vs planned; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,-0.039,0.01,,,***,,,high,state of dwelling: good vs planned,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Dwelling State: good (ref. planned),condition,A_structural,dummy,binary,0.04,0.013,,,**,,,high,state of dwelling: good vs planned,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.054,0.005,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.078,0.006,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.059,0.005,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c4,A.2,4 (S.Alt.3),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.058,0.005,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised sales price (EUR),log,OLS,14759.0,0.809,se,"Sales adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c5,A.2,5 (S.Alt.4),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.073,0.008,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised sales price (EUR),log,OLS,14759.0,0.507,se,"Sales adverts 2018, Luxembourg; physical characteristics only; n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.059,0.008,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.052,0.009,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.059,0.005,,,***,,,low,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use,log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c9,A.2,9 (R.Alt.3),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.063,0.008,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised monthly rent (EUR),log,OLS,7860.0,0.742,se,"Rent adverts 2018, Luxembourg; physical characteristics + locality dummies (no interaction); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c10,A.2,10 (R.Alt.4),52,Dwelling State: average (ref. planned),condition,A_structural,dummy,binary,-0.038,0.011,,,***,,,high,state of dwelling: average vs planned; 'average' assigned when advert mentions neither improvements nor repairs,log advertised monthly rent (EUR),log,OLS,7860.0,0.526,se,"Rent adverts 2018, Luxembourg; physical characteristics only; n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c1,A.2,1 (S.Main),52,Dwelling Type x Surface,other,other,other,m2,-0.003,0.0,,,***,,,high,interaction term house dummy x surface (m2); only in models with interactions; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,OLS,14759.0,0.824,se,"Sales adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Dwelling Type x Surface,other,other,other,m2,-0.004,0.0,,,***,,,high,interaction term house dummy x surface (m2); only in models with interactions; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c3,A.2,3 (S.Alt.2),52,Dwelling Type x Surface,other,other,other,m2,-0.003,0.0,,,***,,,high,interaction term house dummy x surface (m2); only in models with interactions; SE printed as 0.000 (rounded),log advertised sales price (EUR),log,other,14759.0,0.819,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c6,A.2,6 (R.Main),52,Dwelling Type x Surface,other,other,other,m2,0.0,0.0,,,,,,high,interaction term house dummy x surface (m2); only in models with interactions; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,OLS,7860.0,0.744,se,"Rent adverts 2018, Luxembourg; physical characteristics + dwelling type x surface interaction + locality dummies (composite geography); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Dwelling Type x Surface,other,other,other,m2,0.0,0.0,,,,,,high,interaction term house dummy x surface (m2); only in models with interactions; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c8,A.2,8 (R.Alt.2),52,Dwelling Type x Surface,other,other,other,m2,-0.003,0.0,,,***,,,low,interaction term house dummy x surface (m2); only in models with interactions; column appears to be a duplicate of S.Alt.2 (typesetting error) - do not use; SE printed as 0.000 (rounded),log advertised monthly rent (EUR),log,other,7860.0,0.728,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + linked-neighbour Markov random field spline (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5; NOTE: printed R.Alt.2 column is numerically identical to S.Alt.2 (intercept 12.252) - apparent typesetting error"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c2,A.2,2 (S.Alt.1),52,Distance to Capital,cbd_distance,D_location,level,km,-0.014,0.0,,,***,,,medium,"approximate travel distance from dwelling to Luxembourg City (Glaesener and Caruso 2015); unit not printed in table, assumed km; SE printed as 0.000 (rounded)",log advertised sales price (EUR),log,OLS,14759.0,0.703,se,"Sales adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n is the number of adverts in Table 2 (5 Cook's-distance outliers dropped for sales per text, not reported in table); r2 is adjusted R2 from Table 5"
17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43,17f8f1569fa95f6eb5e22b566b1a1962d7ce1a43:TA2-c7,A.2,7 (R.Alt.1),52,Distance to Capital,cbd_distance,D_location,level,km,-0.013,0.0,,,***,,,medium,"approximate travel distance from dwelling to Luxembourg City (Glaesener and Caruso 2015); unit not printed in table, assumed km; SE printed as 0.000 (rounded)",log advertised monthly rent (EUR),log,OLS,7860.0,0.679,se,"Rent adverts 2018, Luxembourg; physical characteristics + interaction + travel distance to Luxembourg City (no locality dummies); n from Table 2; r2 is adjusted R2 from Table 5"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,C(GSHP)[T.True],heating,A_structural,binary,binary,0.0519,0.006,,,***,,,high,Ground source heat pump vs all other heating types,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,C(heating_type)[T.district_heating],heating,A_structural,binary,binary,0.0126,0.0046,,,***,,,high,District heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,C(heating_type)[T.GSHP],heating,A_structural,binary,binary,0.0474,0.0062,,,***,,,high,Ground source heat pump vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,C(heating_type)[T.oil],heating,A_structural,binary,binary,-0.0228,0.0041,,,***,,,high,Oil heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,Sqm,living_area,A_structural,level,m2,0.0039,0.0,,,***,,,high,Floor area in square metres; SE printed as 0.0000,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,Age,age,A_structural,level,years,-0.0051,0.0001,,,***,,,high,Building age in years,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,Distance to CBD,cbd_distance,D_location,level,km,-0.0161,0.0015,,,***,,,high,Kilometres to CBD (Table 1),log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,C(condition)[T.excellent],condition,A_structural,dummy,ordinal,0.3189,0.02,,,***,,,high,Condition excellent vs decent,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,C(condition)[T.good],condition,A_structural,dummy,ordinal,0.18,0.0037,,,***,,,high,Condition good vs decent,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,C(condition)[T.poor],condition,A_structural,dummy,ordinal,-0.2987,0.008,,,***,,,high,Condition poor vs decent,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-A,4,GSHP (A),8,C(lot_ownership)[T.rented],other,other,binary,binary,-0.0561,0.004,,,***,,,high,Leasehold (rented lot) vs owned lot,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec A: GSHP true/false; full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,Sqm,living_area,A_structural,level,m2,0.0039,0.0,,,***,,,high,Floor area in square metres; SE printed as 0.0000,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,Age,age,A_structural,level,years,-0.0049,0.0001,,,***,,,high,Building age in years,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,Distance to CBD,cbd_distance,D_location,level,km,-0.016,0.0015,,,***,,,high,Kilometres to CBD (Table 1),log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,C(condition)[T.excellent],condition,A_structural,dummy,ordinal,0.317,0.02,,,***,,,high,Condition excellent vs decent,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,C(condition)[T.good],condition,A_structural,dummy,ordinal,0.1791,0.0037,,,***,,,high,Condition good vs decent,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,C(condition)[T.poor],condition,A_structural,dummy,ordinal,-0.2995,0.008,,,***,,,high,Condition poor vs decent,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T4-B,4,Heating type (B),8,C(lot_ownership)[T.rented],other,other,binary,binary,-0.0593,0.0041,,,***,,,high,Leasehold (rented lot) vs owned lot,log sales price (EUR),log,OLS,19008.0,0.851,se,"Spec B: heating type categories (direct electricity omitted); full controls, year+month FE, postcode FE, neighbourhood characteristics; adj. R2"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-A-c1,5,A-1,9,C(GSHP)[T.True],heating,A_structural,binary,binary,0.2175,0.014,,,***,,,high,Ground source heat pump vs all other heating types,log sales price (EUR),log,OLS,19008.0,0.1309,se,"Spec A (GSHP true/false), sensitivity column 1: year+month FE only; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c1,5,B-1,9,C(heating_type)[T.district_heating],heating,A_structural,binary,binary,0.0661,0.0089,,,***,,,high,District heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.148,se,"Spec B (heating type categories), sensitivity column 1: year+month FE only; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c1,5,B-1,9,C(heating_type)[T.GSHP],heating,A_structural,binary,binary,0.2023,0.0142,,,***,,,high,Ground source heat pump vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.148,se,"Spec B (heating type categories), sensitivity column 1: year+month FE only; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c1,5,B-1,9,C(heating_type)[T.oil],heating,A_structural,binary,binary,-0.1354,0.0089,,,***,,,high,Oil heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.148,se,"Spec B (heating type categories), sensitivity column 1: year+month FE only; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-A-c2,5,A-2,9,C(GSHP)[T.True],heating,A_structural,binary,binary,0.0976,0.0096,,,***,,,high,Ground source heat pump vs all other heating types,log sales price (EUR),log,OLS,19008.0,0.6179,se,"Spec A (GSHP true/false), sensitivity column 2: + postcode FE; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c2,5,B-2,9,C(heating_type)[T.district_heating],heating,A_structural,binary,binary,0.0394,0.0071,,,***,,,high,District heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.6228,se,"Spec B (heating type categories), sensitivity column 2: + postcode FE; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c2,5,B-2,9,C(heating_type)[T.GSHP],heating,A_structural,binary,binary,0.081,0.0097,,,***,,,high,Ground source heat pump vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.6228,se,"Spec B (heating type categories), sensitivity column 2: + postcode FE; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c2,5,B-2,9,C(heating_type)[T.oil],heating,A_structural,binary,binary,-0.0832,0.0064,,,***,,,high,Oil heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.6228,se,"Spec B (heating type categories), sensitivity column 2: + postcode FE; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-A-c3,5,A-3,9,C(GSHP)[T.True],heating,A_structural,binary,binary,0.0898,0.0094,,,***,,,high,Ground source heat pump vs all other heating types,log sales price (EUR),log,OLS,19008.0,0.6332,se,"Spec A (GSHP true/false), sensitivity column 3: + neighbourhood characteristics; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c3,5,B-3,9,C(heating_type)[T.district_heating],heating,A_structural,binary,binary,0.0353,0.007,,,***,,,high,District heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.6368,se,"Spec B (heating type categories), sensitivity column 3: + neighbourhood characteristics; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c3,5,B-3,9,C(heating_type)[T.GSHP],heating,A_structural,binary,binary,0.0762,0.0096,,,***,,,high,Ground source heat pump vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.6368,se,"Spec B (heating type categories), sensitivity column 3: + neighbourhood characteristics; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c3,5,B-3,9,C(heating_type)[T.oil],heating,A_structural,binary,binary,-0.071,0.0063,,,***,,,high,Oil heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.6368,se,"Spec B (heating type categories), sensitivity column 3: + neighbourhood characteristics; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-A-c4a,5,A-4a,9,C(GSHP)[T.True],heating,A_structural,binary,binary,0.0555,0.0064,,,***,,,high,Ground source heat pump vs all other heating types,log sales price (EUR),log,OLS,19008.0,0.8282,se,"Spec A (GSHP true/false), sensitivity column 4a: full model excluding age; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4a,5,B-4a,9,C(heating_type)[T.district_heating],heating,A_structural,binary,binary,0.0262,0.0049,,,***,,,high,District heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.8303,se,"Spec B (heating type categories), sensitivity column 4a: full model excluding age; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4a,5,B-4a,9,C(heating_type)[T.GSHP],heating,A_structural,binary,binary,0.0436,0.0066,,,***,,,high,Ground source heat pump vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.8303,se,"Spec B (heating type categories), sensitivity column 4a: full model excluding age; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4a,5,B-4a,9,C(heating_type)[T.oil],heating,A_structural,binary,binary,-0.0564,0.0043,,,***,,,high,Oil heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.8303,se,"Spec B (heating type categories), sensitivity column 4a: full model excluding age; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-A-c4b,5,A-4b,9,C(GSHP)[T.True],heating,A_structural,binary,binary,0.0363,0.0067,,,***,,,high,Ground source heat pump vs all other heating types,log sales price (EUR),log,OLS,19008.0,0.8119,se,"Spec A (GSHP true/false), sensitivity column 4b: full model excluding condition; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4b,5,B-4b,9,C(heating_type)[T.district_heating],heating,A_structural,binary,binary,0.0121,0.0051,,,**,,,high,District heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.8124,se,"Spec B (heating type categories), sensitivity column 4b: full model excluding condition; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4b,5,B-4b,9,C(heating_type)[T.GSHP],heating,A_structural,binary,binary,0.0297,0.0069,,,***,,,high,Ground source heat pump vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.8124,se,"Spec B (heating type categories), sensitivity column 4b: full model excluding condition; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4b,5,B-4b,9,C(heating_type)[T.oil],heating,A_structural,binary,binary,-0.0305,0.0046,,,***,,,high,Oil heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.8124,se,"Spec B (heating type categories), sensitivity column 4b: full model excluding condition; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-A-c4c,5,A-4c,9,C(GSHP)[T.True],heating,A_structural,binary,binary,0.0374,0.0076,,,***,,,high,Ground source heat pump vs all other heating types,log sales price (EUR),log,OLS,19008.0,0.7609,se,"Spec A (GSHP true/false), sensitivity column 4c: full model excluding age and condition; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4c,5,B-4c,9,C(heating_type)[T.district_heating],heating,A_structural,binary,binary,0.0338,0.0057,,,***,,,high,District heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.7658,se,"Spec B (heating type categories), sensitivity column 4c: full model excluding age and condition; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4c,5,B-4c,9,C(heating_type)[T.GSHP],heating,A_structural,binary,binary,0.0184,0.0077,,,**,,,high,Ground source heat pump vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.7658,se,"Spec B (heating type categories), sensitivity column 4c: full model excluding age and condition; adj. R2; column 4 = Table 4 (not duplicated)"
18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25,18a3ce8a193301208557e0d6f2d027166917cb25:T5-B-c4c,5,B-4c,9,C(heating_type)[T.oil],heating,A_structural,binary,binary,-0.0874,0.0051,,,***,,,high,Oil heating vs direct electricity,log sales price (EUR),log,OLS,19008.0,0.7658,se,"Spec B (heating type categories), sensitivity column 4c: full model excluding age and condition; adj. R2; column 4 = Table 4 (not duplicated)"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T2-c1,2,1 Binary,8,Treated × Construction,transit_distance,D_location,other,binary,-0.003,0.002,,0.063,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 2 km of Elizabeth Line station x construction period (2007-2015); p=0.063 reported in text,"ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Construction window 2000-2015, Post=1 from 2007; treated = within 2 km of an Elizabeth Line station; property and year FE; macro controls (inflation, interest rate, GDP growth) not extracted"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T2-c2,2,2 Distance bands,8,Within 1 km × Construction,transit_distance,D_location,other,binary,0.049,0.003,,,,,,high,"DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 1 km band x construction period, ref > 10 km; text: significant at 1%","ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Construction window 2000-2015, Post=1 from 2007; distance-band indicators x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T2-c2,2,2 Distance bands,8,1–2 km × Construction,transit_distance,D_location,other,binary,0.053,0.002,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; 1-2 km band x construction period; text: significant at 1%,"ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Construction window 2000-2015, Post=1 from 2007; distance-band indicators x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T2-c2,2,2 Distance bands,8,2–5 km × Construction,transit_distance,D_location,other,binary,0.081,0.002,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; 2-5 km band x construction period; text: significant at 1%,"ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Construction window 2000-2015, Post=1 from 2007; distance-band indicators x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T2-c2,2,2 Distance bands,8,5–10 km × Construction,transit_distance,D_location,other,binary,0.077,0.002,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; 5-10 km band x construction period; text: significant at 1%,"ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Construction window 2000-2015, Post=1 from 2007; distance-band indicators x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T3-c1,3,1 Binary,10,Treated × Opening,transit_distance,D_location,other,binary,-0.014,0.004,,0.001,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 2 km x post-opening (2022-2024); p=0.001 reported in text,"ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Opening window 2016-2024, Post=1 from 2022; treated = within 2 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T3-c2,3,2 Distance bands,10,Within 1 km × Opening,transit_distance,D_location,other,binary,-0.02,0.007,,0.005,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 1 km band x post-opening; p=0.005 in text,"ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Opening window 2016-2024, Post=1 from 2022; distance bands x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T3-c2,3,2 Distance bands,10,1–2 km × Opening,transit_distance,D_location,other,binary,-0.012,0.005,,0.024,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; 1-2 km band x post-opening; p=0.024 in text,"ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Opening window 2016-2024, Post=1 from 2022; distance bands x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T3-c2,3,2 Distance bands,10,2–5 km × Opening,transit_distance,D_location,other,binary,-0.001,0.004,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; 2-5 km band x post-opening; text: not significant,"ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Opening window 2016-2024, Post=1 from 2022; distance bands x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T3-c2,3,2 Distance bands,10,5–10 km × Opening,transit_distance,D_location,other,binary,-0.003,0.004,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; 5-10 km band x post-opening; text: not significant,"ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Opening window 2016-2024, Post=1 from 2022; distance bands x Post, reference > 10 km; property and year FE"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T4-c1,4,1 Construction,11,Treated × Post,transit_distance,D_location,other,binary,-0.038,0.004,,,,,,high,"DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 2 km x post, for properties without prior TfL access (TfL=0); text: p<0.001","ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Heterogeneity by pre-existing TfL access, construction phase 2007-2015; property and year FE, macro and amenity controls"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T4-c1,4,1 Construction,11,TfL × Post,transit_distance,D_location,other,binary,0.105,0.001,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 1 km of a non-Elizabeth TfL station x post (construction),"ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Heterogeneity by pre-existing TfL access, construction phase 2007-2015; property and year FE, macro and amenity controls"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T4-c1,4,1 Construction,11,Treated × TfL × Post,transit_distance,D_location,other,binary,0.021,0.006,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; triple interaction treated x prior TfL access x post; text: p<0.001,"ln(nominal sale price), GBP",log,FE_panel,541796.0,,se,"Heterogeneity by pre-existing TfL access, construction phase 2007-2015; property and year FE, macro and amenity controls"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T4-c2,4,2 Opening,11,Treated × Post,transit_distance,D_location,other,binary,-0.021,0.01,,,,,,high,"DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 2 km x post-opening, properties without prior TfL access","ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Heterogeneity by pre-existing TfL access, opening phase 2022-2024; property and year FE, macro and amenity controls"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T4-c2,4,2 Opening,11,TfL × Post,transit_distance,D_location,other,binary,-0.034,0.003,,,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; within 1 km of a non-Elizabeth TfL station x post (opening),"ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Heterogeneity by pre-existing TfL access, opening phase 2022-2024; property and year FE, macro and amenity controls"
1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6,1908d2ee0b0995f38129f51d7446a3626531b8d6:T4-c2,4,2 Opening,11,Treated × TfL × Post,transit_distance,D_location,other,binary,0.015,0.013,,0.25,,,,high,DiD interaction (treatment-by-post); not a cross-sectional hedonic characteristic; triple interaction; p=0.25 in text,"ln(nominal sale price), GBP",log,FE_panel,170093.0,,se,"Heterogeneity by pre-existing TfL access, opening phase 2022-2024; property and year FE, macro and amenity controls"
1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931:T2-OLS,2,OLS,15,SDHOS: Shortest distance to the nearest hospital,hospital_distance,D_location,level,m,-0.031,0.01,-3.258,0.001,***,,,high,"Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre",Advertised price per m2 (million VND/m2),per_m2,OLS,1545.0,0.163853,se,"All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931:T2-OLS,2,OLS,15,SDPRK: Shortest distance to the nearest park or green space,green_space,E_environment,level,m,0.036,0.012,3.086,0.0,***,,,high,"Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre",Advertised price per m2 (million VND/m2),per_m2,OLS,1545.0,0.163853,se,"All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931:T2-OLS,2,OLS,15,SDSCH: Shortest distance to the nearest school,school_distance,D_location,level,m,0.036,0.015,2.4,0.002,**,,,high,"Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre",Advertised price per m2 (million VND/m2),per_m2,OLS,1545.0,0.163853,se,"All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931:T2-OLS,2,OLS,15,SDUNI: Shortest distance to the nearest university,university_distance,D_location,level,m,-0.014,0.005,-3.034,0.0,***,,,high,"Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre",Advertised price per m2 (million VND/m2),per_m2,OLS,1545.0,0.163853,se,"All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931:T2-OLS,2,OLS,15,SDSHP: Shortest distance to the nearest shopping center,commercial_distance,D_location,level,m,0.008,0.008,1.024,0.257,,,,high,"Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre",Advertised price per m2 (million VND/m2),per_m2,OLS,1545.0,0.163853,se,"All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931:T2-OLS,2,OLS,15,SDCENL: Shortest distance to the nearest local People's committee location,public_services,F_neighbourhood,level,m,-0.015,0.004,-4.385,0.0,***,,,high,"Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre; distance to district-level People's Committee (local government office)",Advertised price per m2 (million VND/m2),per_m2,OLS,1545.0,0.163853,se,"All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931,1956ccee53765fb417ccdc3f95db189441def931:T2-OLS,2,OLS,15,SDCEN: Shortest distance to Hanoi People's committee location,cbd_distance,D_location,level,m,-0.02,0.002,-10.977,0.0,***,,,high,"Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre; Hanoi People's Committee HQ used as city centre",Advertised price per m2 (million VND/m2),per_m2,OLS,1545.0,0.163853,se,"All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,BATHS,bathrooms,A_structural,level,count,0.146,,3.37,,,,,high,total number of baths (full plus half),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,FIREPLACES,fireplace,B_interior,level,count,0.061,,4.7,,,,,high,number of fireplaces,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,ROOMS,bedrooms,A_structural,level,count,0.0336,,2.1,,,,,high,total listed number of rooms (not bedrooms per se),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,SQFT,living_area,A_structural,level,sqft,1.2e-05,,2.67,,,,,medium,"finished living space in square feet; printed SQFT coefficient inconsistent across columns (0.000012 vs 0.000128), transcribed as printed",ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,APT,other,other,binary,binary,-0.152,,-1.97,,,,,high,rental apartment on the premises (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,BRICK,roof_materials,A_structural,binary,binary,0.25,,4.04,,,,,high,brick exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,DECK,terrace_balcony,C_exterior,binary,binary,0.144,,3.32,,,,,high,exterior deck (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,CTYD,garden,C_exterior,binary,binary,0.21,,4.6,,,,,high,private courtyard (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,SPRINKLER,landscaping,C_exterior,binary,binary,0.216,,2.99,,,,,high,underground sprinkler system (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,STORIES,storeys,A_structural,level,count,0.195,,3.1,,,,,high,number of stories/floors,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,STUCCO,roof_materials,A_structural,binary,binary,0.35,,5.6,,,,,high,stucco exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,GARAGESP,garage,A_structural,level,count,0.106,,3.26,,,,,high,number of garage spaces,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,BALCNY,terrace_balcony,C_exterior,binary,binary,0.011,,0.21,,,,,high,balcony (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,POOLTUB,pool,C_exterior,binary,binary,0.229,,1.64,,,,,high,hot-tub and/or swimming pool (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,NEW,age,A_structural,binary,binary,0.296,,4.2,,,,,high,"house new at time of sale (=1); new-construction dummy, not years",ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,PARKSQ,green_space,E_environment,binary,binary,0.088,,0.76,,,,,high,located across from or adjacent to a park or square (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-ab,1,(a)-(b),7,CORNER,other,other,binary,binary,0.127,,1.86,,,,,high,corner lot (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,BATHS,bathrooms,A_structural,level,count,0.144,,3.37,,,,,high,total number of baths (full plus half),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,FIREPLACES,fireplace,B_interior,level,count,0.062,,4.82,,,,,high,number of fireplaces,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,ROOMS,bedrooms,A_structural,level,count,0.0385,,2.47,,,,,high,total listed number of rooms (not bedrooms per se),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,SQFT,living_area,A_structural,level,sqft,0.000128,,2.9,,,,,medium,"finished living space in square feet; printed SQFT coefficient inconsistent across columns (0.000012 vs 0.000128), transcribed as printed",ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,APT,other,other,binary,binary,-0.155,,-1.96,,,,,high,rental apartment on the premises (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,BRICK,roof_materials,A_structural,binary,binary,0.254,,4.16,,,,,high,brick exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,DECK,terrace_balcony,C_exterior,binary,binary,0.146,,3.36,,,,,high,exterior deck (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,CTYD,garden,C_exterior,binary,binary,0.23,,5.02,,,,,high,private courtyard (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,SPRINKLER,landscaping,C_exterior,binary,binary,0.206,,2.79,,,,,high,underground sprinkler system (=1),ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,STORIES,storeys,A_structural,level,count,0.188,,3.17,,,,,high,number of stories/floors,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,STUCCO,roof_materials,A_structural,binary,binary,0.366,,5.82,,,,,high,stucco exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,GARAGESP,garage,A_structural,level,count,0.098,,3.11,,,,,high,number of garage spaces,ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T1-cd,1,(c)-(d),7,NEW,age,A_structural,binary,binary,0.289,,4.09,,,,,high,"house new at time of sale (=1); new-construction dummy, not years",ln real sales price (2005 USD),log,OLS,593.0,0.62,t,"Inside Savannah Historic Landmark District, restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,BATHS,bathrooms,A_structural,level,count,0.121,,3.07,,,,,high,total number of baths (full plus half),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,FIREPLACES,fireplace,B_interior,level,count,0.06,,3.82,,,,,high,number of fireplaces,ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,ROOMS,bedrooms,A_structural,level,count,0.032,,2.14,,,,,high,total listed number of rooms (not bedrooms per se),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,SQFT,living_area,A_structural,level,sqft,1.1e-05,,2.65,,,,,medium,"finished living space in square feet; printed SQFT coefficient inconsistent across columns (0.000012 vs 0.000128), transcribed as printed",ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,APT,other,other,binary,binary,0.0002,,0.156,,,,,high,rental apartment on the premises (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,BRICK,roof_materials,A_structural,binary,binary,0.2,,3.98,,,,,high,brick exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,DECK,terrace_balcony,C_exterior,binary,binary,0.11,,2.99,,,,,high,exterior deck (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,CTYD,garden,C_exterior,binary,binary,0.09,,2.11,,,,,high,private courtyard (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,SPRINKLER,landscaping,C_exterior,binary,binary,0.24,,3.15,,,,,high,underground sprinkler system (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,STORIES,storeys,A_structural,level,count,0.18,,2.09,,,,,high,number of stories/floors,ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,STUCCO,roof_materials,A_structural,binary,binary,0.28,,3.04,,,,,high,stucco exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,GARAGESP,garage,A_structural,level,count,0.11,,3.05,,,,,high,number of garage spaces,ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,BALCNY,terrace_balcony,C_exterior,binary,binary,0.01,,0.56,,,,,high,balcony (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,POOLTUB,pool,C_exterior,binary,binary,0.16,,2.18,,,,,high,hot-tub and/or swimming pool (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,NEW,age,A_structural,binary,binary,0.302,,3.97,,,,,high,"house new at time of sale (=1); new-construction dummy, not years",ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,PARKSQ,green_space,E_environment,binary,binary,0.066,,1.81,,,,,high,located across from or adjacent to a park or square (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-ab,2,(a)-(b),7,CORNER,other,other,binary,binary,0.09,,1.12,,,,,high,corner lot (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.63,t,"Outside the district (metro Savannah), full specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,BATHS,bathrooms,A_structural,level,count,0.122,,3.09,,,,,high,total number of baths (full plus half),ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,FIREPLACES,fireplace,B_interior,level,count,0.061,,3.69,,,,,high,number of fireplaces,ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,ROOMS,bedrooms,A_structural,level,count,0.033,,2.55,,,,,high,total listed number of rooms (not bedrooms per se),ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,SQFT,living_area,A_structural,level,sqft,0.00012,,2.71,,,,,medium,"finished living space in square feet; printed SQFT coefficient inconsistent across columns (0.000012 vs 0.000128), transcribed as printed",ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,BRICK,roof_materials,A_structural,binary,binary,0.21,,4.01,,,,,high,brick exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,DECK,terrace_balcony,C_exterior,binary,binary,0.114,,3.01,,,,,high,exterior deck (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,CTYD,garden,C_exterior,binary,binary,0.11,,2.23,,,,,high,private courtyard (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,SPRINKLER,landscaping,C_exterior,binary,binary,0.242,,2.87,,,,,high,underground sprinkler system (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,STORIES,storeys,A_structural,level,count,0.19,,2.19,,,,,high,number of stories/floors,ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,STUCCO,roof_materials,A_structural,binary,binary,0.29,,3.12,,,,,high,stucco exterior (=1); exterior material,ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,GARAGESP,garage,A_structural,level,count,0.11,,3.14,,,,,high,number of garage spaces,ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,POOLTUB,pool,C_exterior,binary,binary,0.17,,2.21,,,,,high,hot-tub and/or swimming pool (=1),ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3,1aa52b387c00d728ed5f6e7b8aeacbd09246f0d3:T2-cd,2,(c)-(d),7,NEW,age,A_structural,binary,binary,0.31,,4.01,,,,,high,"house new at time of sale (=1); new-construction dummy, not years",ln real sales price (2005 USD),log,OLS,1908.0,0.61,t,"Outside the district (metro Savannah), restricted specification"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,5,area,living_area,A_structural,level,sqft (unit not printed; sqft in source dataset),124.558,65.678,1.897,0.061,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,5,bathrooms,bathrooms,A_structural,level,count,650566.462,230693.362,2.82,0.006,**,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,5,stories,storeys,A_structural,level,count,87504.025,144525.352,0.605,0.546,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,5,bedrooms,bedrooms,A_structural,level,count,372422.35,220797.72,1.687,0.095,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,5,guestroom,other,other,binary,binary (guest room present),81401.929,304786.009,0.267,0.79,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,5,basement,basement,A_structural,binary,binary,403708.567,333873.702,1.209,0.23,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,5,hotwaterheating,heating,A_structural,binary,binary (hot water heating),486872.335,510848.994,0.953,0.343,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,6,airconditioning,air_conditioning,A_structural,binary,binary,530970.1,339127.011,1.566,0.121,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,6,parking,parking,A_structural,level,count (parking spaces),660661.38,159352.363,4.146,0.0,**,,,medium,Level-level model; currency and data provenance unverified (see study notes); p printed as 0.000 recorded as 0.0,"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,6,prefarea,other,other,binary,binary (located in a preferred area),434783.946,276309.617,1.574,0.119,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b,1ad007ac2e8575311162da739431607dfdaeeb1b:T3-c1,3,1,6,furnishingstatus,other,other,level,ordinal (furnishing status category),78390.114,172544.131,0.454,0.651,,,,medium,Level-level model; currency and data provenance unverified (see study notes),"house price (level, currency not stated)",level,OLS,100.0,0.368,se,"Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,AGE,age,A_structural,level,years,-2.737,609.503,,0.996,,,,high,,PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,AGE,age,A_structural,level,years,-1489.234,607.064,,0.015,**,,,high,,PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,AREA,living_area,A_structural,level,m2,1665.921,342.579,,0.0,***,,,high,Area of property (m2),PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,AREA,living_area,A_structural,level,m2,2816.495,394.776,,0.0,***,,,high,Area of property (m2),PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,BDRM,bedrooms,A_structural,level,count,69979.407,21476.228,,0.001,***,,,high,,PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,BDRM,bedrooms,A_structural,level,count,82793.058,19860.177,,0.0,***,,,high,,PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,BTHR,bathrooms,A_structural,level,count,73740.179,30429.466,,0.016,**,,,high,,PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,BTHR,bathrooms,A_structural,level,count,-15883.716,26759.403,,0.553,,,,high,,PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,PRKG,parking,A_structural,level,count,54604.633,21856.738,,0.013,**,,,high,Number of parking spaces,PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,PRKG,parking,A_structural,level,count,103929.702,20881.198,,0.0,***,,,high,Number of parking spaces,PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,LOT_SZ,lot_size,A_structural,level,m2,-0.535,16.841,,0.975,,,,high,,PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,LOT_SZ,lot_size,A_structural,level,m2,-19.36,20.237,,0.339,,,,high,,PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,P_TYPE,dwelling_type,A_structural,binary,binary,598145.437,60749.289,,0.0,***,,,high,"1 = house, 0 = unit",PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,P_TYPE,dwelling_type,A_structural,binary,binary,981064.7,51472.085,,0.0,***,,,high,"1 = house, 0 = unit",PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,D400,transit_distance,D_location,dummy,binary,64979.197,45392.838,,0.153,,,,high,1 = within 0-400 m of light-rail stop,PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,D400,transit_distance,D_location,dummy,binary,154805.107,48003.912,,0.001,***,,,high,1 = within 0-400 m of light-rail stop,PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T5-T1,5,T1 (Announcement Phase),24,D800,transit_distance,D_location,dummy,binary,22742.752,67041.932,,0.735,,,,high,1 = within 401-800 m of light-rail stop,PRICE (AUD),level,OLS,286.0,0.808,se,Dec 2012 - Feb 2015
1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666,1b06d5abfe32d650517ed54e21f8d196f135c666:T6-T2,6,T2 (Construction Phase),24,D800,transit_distance,D_location,dummy,binary,120083.533,65190.065,,0.066,*,,,high,1 = within 401-800 m of light-rail stop,PRICE (AUD),level,OLS,416.0,0.867,se,Mar 2015 - Mar 2020
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Bedrooms,bedrooms,A_structural,level,count,1.062,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.212,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Bathrooms,bathrooms,A_structural,level,count,2.147,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.412,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,WES,other,other,binary,binary,8.101,,,,,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.787","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Severe Problems,condition,A_structural,dummy,binary,-2.607,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.253,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Medium Problems,condition,A_structural,dummy,binary,-3.108,,,,***,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.302,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Small Problems,condition,A_structural,dummy,binary,-2.473,,,,**,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.24,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Years of construction,age,A_structural,other,index,0.009,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.004","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,House,dwelling_type,A_structural,dummy,binary,1.244,,,,*,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.121,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Construction Type,condition,A_structural,other,index,-1.37,,,,,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.398","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.24,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.223","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m1,18,1,64,m2 avg. Price,other,other,level,currency,0.0,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.14","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,443.0,,none,"Market 1: Montevideo neighbourhood group 1 (Table 15); Box-Cox with common lambda=0.261 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Bedrooms,bedrooms,A_structural,level,count,1.065,,,,***,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.182,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Bathrooms,bathrooms,A_structural,level,count,1.203,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.156,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,WES,other,other,binary,binary,-0.452,,,,,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.042","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Severe Problems,condition,A_structural,dummy,binary,-2.36,,,,*,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.217,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Medium Problems,condition,A_structural,dummy,binary,-1.168,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.107,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Small Problems,condition,A_structural,dummy,binary,-1.313,,,,**,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.121,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Years of construction,age,A_structural,other,index,-0.569,,,,**,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.226","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,House,dwelling_type,A_structural,dummy,binary,1.234,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.114,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Construction Type,condition,A_structural,other,index,4.262,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 1.163","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.796,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.651","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m2,18,2,64,m2 avg. Price,other,other,level,currency,0.001,,,,***,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.621","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,593.0,,none,"Market 2: Montevideo neighbourhood group 2 (Table 15); Box-Cox with common lambda=0.282 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,Bedrooms,bedrooms,A_structural,level,count,0.604,,,,,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.059,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,Bathrooms,bathrooms,A_structural,level,count,0.762,,,,*,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.061,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,WES,other,other,binary,binary,-2.102,,,,,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.122","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,Severe Problems,condition,A_structural,dummy,binary,-10.108,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.587,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,Medium Problems,condition,A_structural,dummy,binary,0.441,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.026,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,Small Problems,condition,A_structural,dummy,binary,-0.03,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.002,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,Years of construction,age,A_structural,other,index,-1.029,,,,**,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.262","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,House,dwelling_type,A_structural,dummy,binary,0.666,,,,,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.039,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.634,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.37","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m3,18,3,64,m2 avg. Price,other,other,level,currency,0.0,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.026","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,283.0,,none,"Market 3: Montevideo neighbourhood group 3 (Table 15); Box-Cox with common lambda=0.346 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Bedrooms,bedrooms,A_structural,level,count,0.442,,,,*,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.103,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Bathrooms,bathrooms,A_structural,level,count,0.466,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.077,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,WES,other,other,binary,binary,3.535,,,,*,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.44","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Severe Problems,condition,A_structural,dummy,binary,-2.567,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.32,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Medium Problems,condition,A_structural,dummy,binary,-1.229,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.153,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Small Problems,condition,A_structural,dummy,binary,-0.459,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.057,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Years of construction,age,A_structural,other,index,-0.281,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.158","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,House,dwelling_type,A_structural,dummy,binary,1.625,,,,***,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.202,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Construction Type,condition,A_structural,other,index,1.366,,,,,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.501","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.336,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.355","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m4,18,4,64,m2 avg. Price,other,other,level,currency,0.0,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.075","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,244.0,,none,"Market 4: Montevideo neighbourhood group 4 (Table 15); Box-Cox with common lambda=0.255 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Bedrooms,bedrooms,A_structural,level,count,1.252,,,,***,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.139,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Bathrooms,bathrooms,A_structural,level,count,3.863,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.335,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,WES,other,other,binary,binary,-6.687,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.433","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Severe Problems,condition,A_structural,dummy,binary,-1.823,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.118,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Medium Problems,condition,A_structural,dummy,binary,0.24,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.016,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Small Problems,condition,A_structural,dummy,binary,-0.601,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.039,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Years of construction,age,A_structural,other,index,-0.748,,,,**,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.216","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,House,dwelling_type,A_structural,dummy,binary,0.138,,,,,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.009,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Construction Type,condition,A_structural,other,index,12.069,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 2.34","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.401,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.251","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m5,18,5,64,m2 avg. Price,other,other,level,currency,0.0,,,,**,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.164","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,289.0,,none,"Market 5: Montevideo neighbourhood group 5 (Table 15); Box-Cox with common lambda=0.329 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Bedrooms,bedrooms,A_structural,level,count,0.925,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.116,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Bathrooms,bathrooms,A_structural,level,count,0.511,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.048,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,WES,other,other,binary,binary,14.109,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 1.019","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Severe Problems,condition,A_structural,dummy,binary,1.258,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.091,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Medium Problems,condition,A_structural,dummy,binary,-1.05,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.076,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Small Problems,condition,A_structural,dummy,binary,-0.706,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.051,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Years of construction,age,A_structural,other,index,-0.475,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.158","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,House,dwelling_type,A_structural,dummy,binary,1.79,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.129,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Construction Type,condition,A_structural,other,index,-1.516,,,,,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.326","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.345,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.209","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m6,18,6,64,m2 avg. Price,other,other,level,currency,0.0,,,,**,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.187","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,312.0,,none,"Market 6: Montevideo neighbourhood group 6 (Table 15); Box-Cox with common lambda=0.323 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Bedrooms,bedrooms,A_structural,level,count,0.165,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.169,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Bathrooms,bathrooms,A_structural,level,count,0.047,,,,,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.037,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,WES,other,other,binary,binary,0.889,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.546","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Severe Problems,condition,A_structural,dummy,binary,-0.775,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.476,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Medium Problems,condition,A_structural,dummy,binary,-0.299,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.184,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Small Problems,condition,A_structural,dummy,binary,-0.043,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.026,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Years of construction,age,A_structural,other,index,-0.061,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.17","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,House,dwelling_type,A_structural,dummy,binary,0.308,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.189,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Construction Type,condition,A_structural,other,index,-0.071,,,,,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.13","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.074,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.44","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T18-m7,18,7,64,m2 avg. Price,other,other,level,currency,0.0,,,,**,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.501","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,233.0,,none,"Market 7: Montevideo neighbourhood group 7 (Table 15); Box-Cox with common lambda=0.061 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Bedrooms,bedrooms,A_structural,level,count,1.483,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.103,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Bathrooms,bathrooms,A_structural,level,count,2.594,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.116,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,WES,other,other,binary,binary,9.041,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.347","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Severe Problems,condition,A_structural,dummy,binary,-6.485,,,,*,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.249,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Medium Problems,condition,A_structural,dummy,binary,-6.609,,,,***,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.254,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Small Problems,condition,A_structural,dummy,binary,-2.183,,,,*,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.084,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Years of construction,age,A_structural,other,index,0.547,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.093","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,House,dwelling_type,A_structural,dummy,binary,5.034,,,,***,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.193,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Construction Type,condition,A_structural,other,index,3.945,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.436","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Neigh. Serv.,public_services,F_neighbourhood,level,index,1.445,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.438","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,Type Neigh.,other,other,level,index,0.161,,,,,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.02,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m8,19,8,65,m2 avg. Price,other,other,level,currency,-0.006,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = -1.44","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,295.0,,none,"Market 8: Montevideo neighbourhood group 8 (Table 15); Box-Cox with common lambda=0.405 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Bedrooms,bedrooms,A_structural,level,count,2.048,,,,,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.068,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Bathrooms,bathrooms,A_structural,level,count,1.983,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.045,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,WES,other,other,binary,binary,20.899,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.37","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Severe Problems,condition,A_structural,dummy,binary,-12.802,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.227,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Medium Problems,condition,A_structural,dummy,binary,-8.072,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.143,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Small Problems,condition,A_structural,dummy,binary,-5.056,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.09,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Years of construction,age,A_structural,other,index,0.11,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.008","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,House,dwelling_type,A_structural,dummy,binary,7.615,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.135,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Construction Type,condition,A_structural,other,index,10.989,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.543","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Neigh. Serv.,public_services,F_neighbourhood,level,index,1.916,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.215","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,Type Neigh.,other,other,level,index,-1.909,,,,,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.141,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m9,19,9,65,m2 avg. Price,other,other,level,currency,0.003,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.328","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,256.0,,none,"Market 9: Montevideo neighbourhood group 9 (Table 15); Box-Cox with common lambda=0.513 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Bedrooms,bedrooms,A_structural,level,count,-0.034,,,,,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.004,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Bathrooms,bathrooms,A_structural,level,count,5.897,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.367,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,WES,other,other,binary,binary,3.104,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.184","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Severe Problems,condition,A_structural,dummy,binary,-2.678,,,,*,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.159,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Medium Problems,condition,A_structural,dummy,binary,-1.369,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.081,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Small Problems,condition,A_structural,dummy,binary,-0.172,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.01,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Years of construction,age,A_structural,other,index,-0.403,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.083","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,House,dwelling_type,A_structural,dummy,binary,2.334,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.138,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Construction Type,condition,A_structural,other,index,2.323,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.357","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Neigh. Serv.,public_services,F_neighbourhood,level,index,1.143,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.321","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,Type Neigh.,other,other,level,index,1.189,,,,***,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.332,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m10,19,10,65,m2 avg. Price,other,other,level,currency,8.95e-05,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.118","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,228.0,,none,"Market 10: Montevideo neighbourhood group 10 (Table 15); Box-Cox with common lambda=0.366 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Bedrooms,bedrooms,A_structural,level,count,0.124,,,,***,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Bathrooms,bathrooms,A_structural,level,count,0.011,,,,,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,WES,other,other,binary,binary,0.304,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Severe Problems,condition,A_structural,dummy,binary,-0.238,,,,*,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Medium Problems,condition,A_structural,dummy,binary,-0.2,,,,***,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Small Problems,condition,A_structural,dummy,binary,-0.095,,,,*,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Years of construction,age,A_structural,other,index,0.001,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,House,dwelling_type,A_structural,dummy,binary,0.128,,,,**,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Construction Type,condition,A_structural,other,index,0.421,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m11,19,11†,65,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.044,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,211.0,,none,Market 11: Montevideo neighbourhood group 11 (Table 15); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Bedrooms,bedrooms,A_structural,level,count,1.174,,,,***,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.242,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Bathrooms,bathrooms,A_structural,level,count,0.652,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.079,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,WES,other,other,binary,binary,1.922,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.209","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Severe Problems,condition,A_structural,dummy,binary,-1.198,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.13,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Medium Problems,condition,A_structural,dummy,binary,-1.045,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.114,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Small Problems,condition,A_structural,dummy,binary,-0.087,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.009,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Years of construction,age,A_structural,other,index,0.236,,,,*,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.105","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,House,dwelling_type,A_structural,dummy,binary,1.17,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.127,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Construction Type,condition,A_structural,other,index,1.151,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.338","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.594,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.401","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m12,19,12,65,Type Neigh.,other,other,level,index,-0.766,,,,***,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.443,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,460.0,,none,"Market 12: Montevideo neighbourhood group 12 (Table 15); Box-Cox with common lambda=0.287 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Bedrooms,bedrooms,A_structural,level,count,4.088,,,,***,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.177,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Bathrooms,bathrooms,A_structural,level,count,0.683,,,,,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.019,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,WES,other,other,binary,binary,12.218,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.296","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Severe Problems,condition,A_structural,dummy,binary,-8.904,,,,*,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.215,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Medium Problems,condition,A_structural,dummy,binary,-7.321,,,,***,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.177,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Small Problems,condition,A_structural,dummy,binary,-3.151,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.076,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Years of construction,age,A_structural,other,index,-0.474,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.049","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,House,dwelling_type,A_structural,dummy,binary,4.78,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.116,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Construction Type,condition,A_structural,other,index,6.972,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.473","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Neigh. Serv.,public_services,F_neighbourhood,level,index,1.533,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.279","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,Type Neigh.,other,other,level,index,-3.629,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.45,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m13,19,13,65,m2 avg. Price,other,other,level,currency,0.002,,,,**,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.231","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,331.0,,none,"Market 13: Montevideo neighbourhood group 13 (Table 15); Box-Cox with common lambda=0.474 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Bedrooms,bedrooms,A_structural,level,count,0.104,,,,,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.035,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Bathrooms,bathrooms,A_structural,level,count,0.285,,,,*,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.055,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,WES,other,other,binary,binary,1.134,,,,,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.194","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Severe Problems,condition,A_structural,dummy,binary,-1.49,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.255,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Medium Problems,condition,A_structural,dummy,binary,-0.58,,,,*,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.099,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Small Problems,condition,A_structural,dummy,binary,-0.879,,,,**,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.151,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Years of construction,age,A_structural,other,index,0.013,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.009","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,House,dwelling_type,A_structural,dummy,binary,-0.081,,,,,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.014,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Construction Type,condition,A_structural,other,index,2.301,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 1.095","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Neigh. Serv.,public_services,F_neighbourhood,level,index,-0.079,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.083","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T19-m14,19,14,65,Type Neigh.,other,other,level,index,0.543,,,,,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.567,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,248.0,,none,"Market 14: Montevideo neighbourhood group 14 (Table 15); Box-Cox with common lambda=0.228 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Bedrooms,bedrooms,A_structural,level,count,0.775,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.124,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Bathrooms,bathrooms,A_structural,level,count,1.607,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.152,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,WES,other,other,binary,binary,1.693,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.149","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Severe Problems,condition,A_structural,dummy,binary,-1.859,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.164,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Medium Problems,condition,A_structural,dummy,binary,-1.42,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.125,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Small Problems,condition,A_structural,dummy,binary,-0.573,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.051,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Years of construction,age,A_structural,other,index,-0.082,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.03","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,House,dwelling_type,A_structural,dummy,binary,0.896,,,,*,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.079,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Construction Type,condition,A_structural,other,index,2.585,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.614","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.377,,,,*,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.194","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,Type Neigh.,other,other,level,index,-0.942,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.513,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m15,20,15,66,m2 avg. Price,other,other,level,currency,0.001,,,,**,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.374","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,527.0,,none,"Market 15: Montevideo neighbourhood group 15 (Table 15); Box-Cox with common lambda=0.315 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Bedrooms,bedrooms,A_structural,level,count,0.27,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.129,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Bathrooms,bathrooms,A_structural,level,count,0.285,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.08,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,WES,other,other,binary,binary,0.716,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.185","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Severe Problems,condition,A_structural,dummy,binary,-1.055,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.273,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Medium Problems,condition,A_structural,dummy,binary,-0.574,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.148,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Small Problems,condition,A_structural,dummy,binary,-0.31,,,,*,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.08,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Years of construction,age,A_structural,other,index,-0.036,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.037","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,House,dwelling_type,A_structural,dummy,binary,0.635,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.164,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Construction Type,condition,A_structural,other,index,0.613,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.417","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.202,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.246","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,Type Neigh.,other,other,level,index,-0.511,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.806,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m16,20,16,66,m2 avg. Price,other,other,level,currency,0.0,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.082","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,451.0,,none,"Market 16: Montevideo neighbourhood group 16 (Table 15); Box-Cox with common lambda=0.178 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Bedrooms,bedrooms,A_structural,level,count,0.441,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.099,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Bathrooms,bathrooms,A_structural,level,count,0.192,,,,,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.025,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,WES,other,other,binary,binary,1.394,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.168","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Severe Problems,condition,A_structural,dummy,binary,-2.542,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.306,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Medium Problems,condition,A_structural,dummy,binary,-1.501,,,,***,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.181,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Small Problems,condition,A_structural,dummy,binary,-0.954,,,,*,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.115,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Years of construction,age,A_structural,other,index,-0.158,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.072","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,House,dwelling_type,A_structural,dummy,binary,1.742,,,,***,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.21,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Construction Type,condition,A_structural,other,index,0.819,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.24","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.426,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.268","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,Type Neigh.,other,other,level,index,-0.509,,,,,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.442,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m17,20,17,66,m2 avg. Price,other,other,level,currency,0.001,,,,**,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.252","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,487.0,,none,"Market 17: Montevideo neighbourhood group 17 (Table 15); Box-Cox with common lambda=0.285 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Bedrooms,bedrooms,A_structural,level,count,0.356,,,,,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.058,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Bathrooms,bathrooms,A_structural,level,count,2.993,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.27,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,WES,other,other,binary,binary,2.098,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.187","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Severe Problems,condition,A_structural,dummy,binary,-1.967,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.175,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Medium Problems,condition,A_structural,dummy,binary,-1.623,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.144,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Small Problems,condition,A_structural,dummy,binary,-0.453,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.04,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Years of construction,age,A_structural,other,index,0.157,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.047","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,House,dwelling_type,A_structural,dummy,binary,1.537,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.137,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Construction Type,condition,A_structural,other,index,1.131,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.236","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.652,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.248","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,Type Neigh.,other,other,level,index,-1.684,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -1.086,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m18,20,18,66,m2 avg. Price,other,other,level,currency,-0.001,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.306","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,441.0,,none,"Market 18: Montevideo neighbourhood group 18 (Table 15); Box-Cox with common lambda=0.325 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Bedrooms,bedrooms,A_structural,level,count,2.182,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.131,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Bathrooms,bathrooms,A_structural,level,count,1.049,,,,,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.035,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,WES,other,other,binary,binary,5.275,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.169","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Severe Problems,condition,A_structural,dummy,binary,-5.948,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.191,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Medium Problems,condition,A_structural,dummy,binary,-2.487,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.08,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Small Problems,condition,A_structural,dummy,binary,-2.556,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.082,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Years of construction,age,A_structural,other,index,-0.573,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.062","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,House,dwelling_type,A_structural,dummy,binary,5.428,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.174,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Construction Type,condition,A_structural,other,index,3.207,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.252","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.529,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.068","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,Type Neigh.,other,other,level,index,-7.093,,,,***,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -1.714,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m19,20,19,66,m2 avg. Price,other,other,level,currency,-0.002,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.205","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,515.0,,none,"Market 19: Montevideo neighbourhood group 19 (Table 15); Box-Cox with common lambda=0.466 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Bedrooms,bedrooms,A_structural,level,count,1.905,,,,*,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.107,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Bathrooms,bathrooms,A_structural,level,count,1.787,,,,*,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.057,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,WES,other,other,binary,binary,2.164,,,,,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.066","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Severe Problems,condition,A_structural,dummy,binary,-6.32,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.193,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Medium Problems,condition,A_structural,dummy,binary,-3.704,,,,*,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.113,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Small Problems,condition,A_structural,dummy,binary,-1.245,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.038,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Years of construction,age,A_structural,other,index,0.721,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.088","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,House,dwelling_type,A_structural,dummy,binary,9.651,,,,***,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.295,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Construction Type,condition,A_structural,other,index,6.114,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.486","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Neigh. Serv.,public_services,F_neighbourhood,level,index,2.712,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.445","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,Type Neigh.,other,other,level,index,-3.835,,,,*,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.838,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m20,20,20,66,m2 avg. Price,other,other,level,currency,0.004,,,,,,,medium,"Printed name: m2 avg. Price = average price of a constructed square metre in the neighbourhood (Montevideo only), UYU; coefficient printed with 3 decimals (often 0.000); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.383","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,288.0,,none,"Market 20: Montevideo neighbourhood group 20 (Table 15); Box-Cox with common lambda=0.461 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Bedrooms,bedrooms,A_structural,level,count,0.067,,,,**,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Bathrooms,bathrooms,A_structural,level,count,0.251,,,,**,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,WES,other,other,binary,binary,0.254,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Severe Problems,condition,A_structural,dummy,binary,-0.099,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Medium Problems,condition,A_structural,dummy,binary,-0.024,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Small Problems,condition,A_structural,dummy,binary,0.055,,,,,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Years of construction,age,A_structural,other,index,0.008,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,House,dwelling_type,A_structural,dummy,binary,0.144,,,,,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Construction Type,condition,A_structural,other,index,0.214,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T20-m21,20,21†,66,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.065,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,472.0,,none,Market 21: upcountry region group 21 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Bedrooms,bedrooms,A_structural,level,count,0.075,,,,***,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Bathrooms,bathrooms,A_structural,level,count,0.277,,,,***,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,WES,other,other,binary,binary,0.197,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Severe Problems,condition,A_structural,dummy,binary,-0.195,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Medium Problems,condition,A_structural,dummy,binary,-0.089,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Small Problems,condition,A_structural,dummy,binary,-0.013,,,,,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Years of construction,age,A_structural,other,index,0.0,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,House,dwelling_type,A_structural,dummy,binary,0.073,,,,,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Construction Type,condition,A_structural,other,index,0.172,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.065,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m22,21,22†,68,Type Neigh.,other,other,level,index,-0.066,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,925.0,,none,Market 22: upcountry region group 22 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Bedrooms,bedrooms,A_structural,level,count,0.022,,,,,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Bathrooms,bathrooms,A_structural,level,count,0.272,,,,**,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,WES,other,other,binary,binary,0.297,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Severe Problems,condition,A_structural,dummy,binary,-0.285,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Medium Problems,condition,A_structural,dummy,binary,-0.071,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Small Problems,condition,A_structural,dummy,binary,-0.12,,,,,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Years of construction,age,A_structural,other,index,0.003,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,House,dwelling_type,A_structural,dummy,binary,-0.011,,,,,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Construction Type,condition,A_structural,other,index,0.177,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.016,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m24,21,24†,68,Type Neigh.,other,other,level,index,-0.009,,,,,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,354.0,,none,Market 24: upcountry region group 24 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Bedrooms,bedrooms,A_structural,level,count,0.092,,,,***,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Bathrooms,bathrooms,A_structural,level,count,0.052,,,,***,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,WES,other,other,binary,binary,0.22,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Severe Problems,condition,A_structural,dummy,binary,-0.245,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Medium Problems,condition,A_structural,dummy,binary,-0.081,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Small Problems,condition,A_structural,dummy,binary,-0.024,,,,,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Years of construction,age,A_structural,other,index,0.022,,,,**,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,House,dwelling_type,A_structural,dummy,binary,0.084,,,,**,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Construction Type,condition,A_structural,other,index,0.17,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.096,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m26,21,26†,68,Type Neigh.,other,other,level,index,-0.028,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,1501.0,,none,Market 26: upcountry region group 26 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Bedrooms,bedrooms,A_structural,level,count,0.889,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.137,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Bathrooms,bathrooms,A_structural,level,count,0.241,,,,,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.021,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,WES,other,other,binary,binary,3.474,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.284","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Severe Problems,condition,A_structural,dummy,binary,-0.52,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.042,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Medium Problems,condition,A_structural,dummy,binary,-1.066,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.087,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Small Problems,condition,A_structural,dummy,binary,0.004,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.0,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Years of construction,age,A_structural,other,index,0.361,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.118","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,House,dwelling_type,A_structural,dummy,binary,-4.307,,,,,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.352,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Construction Type,condition,A_structural,other,index,1.557,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.27","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m28,21,28,68,Neigh. Serv.,public_services,F_neighbourhood,level,index,-0.19,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.062","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,413.0,,none,"Market 28: upcountry region group 28 (Tables 15-16); Box-Cox with common lambda=0.355 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Bedrooms,bedrooms,A_structural,level,count,0.116,,,,***,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.12,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Bathrooms,bathrooms,A_structural,level,count,0.107,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.064,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,WES,other,other,binary,binary,0.465,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.244","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Severe Problems,condition,A_structural,dummy,binary,-0.371,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.195,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Medium Problems,condition,A_structural,dummy,binary,-0.076,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.04,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Small Problems,condition,A_structural,dummy,binary,-0.009,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.004,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Years of construction,age,A_structural,other,index,-0.011,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.024","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,House,dwelling_type,A_structural,dummy,binary,0.236,,,,**,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.124,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Construction Type,condition,A_structural,other,index,0.397,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.535","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.149,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.442","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m29,21,29,68,Type Neigh.,other,other,level,index,-0.217,,,,***,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.254,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,882.0,,none,"Market 29: upcountry region group 29 (Tables 15-16); Box-Cox with common lambda=0.085 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Bedrooms,bedrooms,A_structural,level,count,0.096,,,,**,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Bathrooms,bathrooms,A_structural,level,count,0.083,,,,*,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,WES,other,other,binary,binary,0.174,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Severe Problems,condition,A_structural,dummy,binary,-0.068,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Medium Problems,condition,A_structural,dummy,binary,0.039,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Small Problems,condition,A_structural,dummy,binary,0.025,,,,,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Years of construction,age,A_structural,other,index,-0.012,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,House,dwelling_type,A_structural,dummy,binary,0.167,,,,*,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Construction Type,condition,A_structural,other,index,0.101,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m31,21,31†,68,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.075,,,,**,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,444.0,,none,Market 31: upcountry region group 31 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Bedrooms,bedrooms,A_structural,level,count,0.411,,,,***,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.167,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Bathrooms,bathrooms,A_structural,level,count,0.365,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.085,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,WES,other,other,binary,binary,0.991,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.199","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Severe Problems,condition,A_structural,dummy,binary,-1.002,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.201,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Medium Problems,condition,A_structural,dummy,binary,-0.686,,,,***,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.138,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Small Problems,condition,A_structural,dummy,binary,-0.352,,,,**,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.071,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Years of construction,age,A_structural,other,index,0.038,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.029","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,House,dwelling_type,A_structural,dummy,binary,1.283,,,,***,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.258,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Construction Type,condition,A_structural,other,index,0.604,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.307","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.364,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.431","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T21-m32,21,32,68,Type Neigh.,other,other,level,index,-0.263,,,,***,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.127,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,1598.0,,none,"Market 32: upcountry region group 32 (Tables 15-16); Box-Cox with common lambda=0.21 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Bedrooms,bedrooms,A_structural,level,count,0.044,,,,,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Bathrooms,bathrooms,A_structural,level,count,0.339,,,,***,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,WES,other,other,binary,binary,0.247,,,,*,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Severe Problems,condition,A_structural,dummy,binary,-0.171,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Medium Problems,condition,A_structural,dummy,binary,-0.171,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Small Problems,condition,A_structural,dummy,binary,0.042,,,,,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Years of construction,age,A_structural,other,index,0.0,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,House,dwelling_type,A_structural,dummy,binary,0.217,,,,,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Construction Type,condition,A_structural,other,index,0.195,,,,**,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.037,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m34,22,34†,70,Type Neigh.,other,other,level,index,-0.148,,,,***,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,228.0,,none,Market 34: upcountry region group 34 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Bedrooms,bedrooms,A_structural,level,count,6.852,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.111,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Bathrooms,bathrooms,A_structural,level,count,24.946,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.215,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,WES,other,other,binary,binary,9.928,,,,,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.082","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Severe Problems,condition,A_structural,dummy,binary,-5.351,,,,,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.044,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Medium Problems,condition,A_structural,dummy,binary,-20.104,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.166,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Small Problems,condition,A_structural,dummy,binary,-17.392,,,,**,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.144,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Years of construction,age,A_structural,other,index,4.796,,,,**,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.146","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,House,dwelling_type,A_structural,dummy,binary,1.718,,,,,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.014,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Construction Type,condition,A_structural,other,index,17.097,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.358","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Neigh. Serv.,public_services,F_neighbourhood,level,index,6.963,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.248","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m35,22,35,70,Type Neigh.,other,other,level,index,-5.019,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.1,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,484.0,,none,"Market 35: upcountry region group 35 (Tables 15-16); Box-Cox with common lambda=0.632 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Bedrooms,bedrooms,A_structural,level,count,0.219,,,,**,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.141,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Bathrooms,bathrooms,A_structural,level,count,0.514,,,,***,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.193,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,WES,other,other,binary,binary,0.499,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.167","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Severe Problems,condition,A_structural,dummy,binary,-1.203,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.402,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Medium Problems,condition,A_structural,dummy,binary,-0.342,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.114,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Small Problems,condition,A_structural,dummy,binary,-0.262,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.088,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Years of construction,age,A_structural,other,index,0.021,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.024","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,House,dwelling_type,A_structural,dummy,binary,-0.063,,,,,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.021,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Construction Type,condition,A_structural,other,index,0.636,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.5","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.003,,,,,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.004","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m36,22,36,70,Type Neigh.,other,other,level,index,0.005,,,,,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = n/a,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,719.0,,none,"Market 36: upcountry region group 36 (Tables 15-16); Box-Cox with common lambda=0.147 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Bedrooms,bedrooms,A_structural,level,count,0.074,,,,***,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Bathrooms,bathrooms,A_structural,level,count,0.126,,,,***,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,WES,other,other,binary,binary,0.279,,,,***,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Severe Problems,condition,A_structural,dummy,binary,-0.271,,,,***,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Medium Problems,condition,A_structural,dummy,binary,-0.127,,,,***,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Small Problems,condition,A_structural,dummy,binary,-0.117,,,,**,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Years of construction,age,A_structural,other,index,0.015,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,House,dwelling_type,A_structural,dummy,binary,0.249,,,,***,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Construction Type,condition,A_structural,other,index,0.104,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.039,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m37,22,37†,70,Type Neigh.,other,other,level,index,-0.035,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,680.0,,none,Market 37: upcountry region group 37 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Bedrooms,bedrooms,A_structural,level,count,0.058,,,,**,,,medium,Number of bedrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Bathrooms,bathrooms,A_structural,level,count,0.093,,,,***,,,medium,Number of full bathrooms; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,WES,other,other,binary,binary,0.186,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Severe Problems,condition,A_structural,dummy,binary,-0.152,,,,*,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Medium Problems,condition,A_structural,dummy,binary,-0.072,,,,,,,medium,Dummy: housing unit has medium (average) construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Small Problems,condition,A_structural,dummy,binary,-0.045,,,,,,,medium,Dummy: housing unit has small construction problems; log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Years of construction,age,A_structural,other,index,0.016,,,,,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,House,dwelling_type,A_structural,dummy,binary,-0.035,,,,,,,medium,Dummy: unit is a house (vs apartment); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Construction Type,condition,A_structural,other,index,0.168,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Neigh. Serv.,public_services,F_neighbourhood,level,index,0.064,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); log-linear model: coefficient is the semi-elasticity/elasticity directly","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m38,22,38†,70,Type Neigh.,other,other,level,index,-0.034,,,,**,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); log-linear model: coefficient is the semi-elasticity/elasticity directly,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",log,OLS,728.0,,none,Market 38: upcountry region group 38 (Tables 15-16); log-linear specification (theta=lambda=0 not rejected)
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Bedrooms,bedrooms,A_structural,level,count,0.449,,,,,,,medium,Number of bedrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.084,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Bathrooms,bathrooms,A_structural,level,count,2.208,,,,**,,,medium,Number of full bathrooms; Box-Cox coefficient (not directly interpretable); printed elasticity = 0.245,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,WES,other,other,binary,binary,1.913,,,,**,,,medium,"Printed name: WES = dummy for access to basic services (water, electricity, sewerage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.196","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Severe Problems,condition,A_structural,dummy,binary,-2.666,,,,**,,,medium,Dummy: housing unit has severe construction/structural problems (omitted: no problems); Box-Cox coefficient (not directly interpretable); printed elasticity = -0.273,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Medium Problems,condition,A_structural,dummy,binary,-1.24,,,,**,,,medium,Dummy: housing unit has medium (average) construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.127,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Small Problems,condition,A_structural,dummy,binary,-0.835,,,,,,,medium,Dummy: housing unit has small construction problems; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.085,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Years of construction,age,A_structural,other,index,-0.359,,,,*,,,medium,"Categorical construction-period variable (edadvivienda 1-5, construction era of the dwelling), NOT age in years; Box-Cox coefficient (not directly interpretable); printed elasticity = -0.149","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,House,dwelling_type,A_structural,dummy,binary,3.468,,,,***,,,medium,Dummy: unit is a house (vs apartment); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.354,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Construction Type,condition,A_structural,other,index,1.559,,,,***,,,medium,"Ordinal construction quality 1=poor, 2=medium, 3=good/very good (tipo_construccion); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.388","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Neigh. Serv.,public_services,F_neighbourhood,level,index,1.074,,,,***,,,medium,"Neighbourhood services index 0-10 (count of: electricity, water, sanitation, gas, waste collection, bins, paved street, sidewalks, lighting, drainage); Box-Cox coefficient (not directly interpretable); printed elasticity = 0.549","monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06,1b4b730b1b7e5c68c755a7ae46919b1120fc8c06:T22-m39,22,39,70,Type Neigh.,other,other,level,index,-0.285,,,,,,,medium,Printed name: Type Neigh. = neighbourhood socioeconomic/safety type 1 (best) to 8 (irregular settlement); Box-Cox coefficient (not directly interpretable); printed elasticity = n/a,"monthly rent (actual rent for tenants, self-estimated rental value for owners/occupants), UYU",boxcox,other,376.0,,none,"Market 39: upcountry region group 39 (Tables 15-16); Box-Cox with common lambda=0.303 for dependent variable and transformed regressors (income, age, education of head)"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,beta1 (ln house plot area),lot_size,A_structural,log,m2,0.0785,,,,,0.0633,0.0936,high,ln plot area (m2); lower-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,beta1 (ln house plot area),lot_size,A_structural,log,m2,0.072,,,,,0.0559,0.088,high,ln plot area (m2); lower-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,beta1 (ln house plot area),lot_size,A_structural,log,m2,0.0696,,,,,0.0538,0.0854,high,ln plot area (m2); lower-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,beta2 (ln travel time to CBD),cbd_distance,D_location,log,minutes,0.613,,,,,0.426,0.801,high,ln estimated travel time to CBD San Jose (min); quadratic in logs with beta3. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,beta2 (ln travel time to CBD),cbd_distance,D_location,log,minutes,0.506,,,,,0.264,0.756,high,ln estimated travel time to CBD San Jose (min); quadratic in logs with beta3. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,beta2 (ln travel time to CBD),cbd_distance,D_location,log,minutes,0.383,,,,,0.118,0.647,high,ln estimated travel time to CBD San Jose (min); quadratic in logs with beta3. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,beta3 (ln travel time to CBD squared),cbd_distance,D_location,other,minutes,-0.113,,,,,-0.148,-0.0779,high,Square of ln travel time to CBD. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,beta3 (ln travel time to CBD squared),cbd_distance,D_location,other,minutes,-0.0945,,,,,-0.142,-0.0491,high,Square of ln travel time to CBD. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,beta3 (ln travel time to CBD squared),cbd_distance,D_location,other,minutes,-0.0723,,,,,-0.125,-0.0198,high,Square of ln travel time to CBD. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,beta4 (ln distance to major road),highway_distance,D_location,log,m,-0.0111,,,,,-0.0207,-0.00147,high,ln Euclidean distance to nearest major road (m). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,beta4 (ln distance to major road),highway_distance,D_location,log,m,-0.012,,,,,-0.0224,-0.00165,high,ln Euclidean distance to nearest major road (m). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,beta4 (ln distance to major road),highway_distance,D_location,log,m,-0.0113,,,,,-0.0218,-0.000723,high,ln Euclidean distance to nearest major road (m). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,beta5 (ln distance to bus route),transit_distance,D_location,log,m,0.0112,,,,,0.00463,0.0178,high,ln Euclidean distance to nearest bus route (m). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,beta5 (ln distance to bus route),transit_distance,D_location,log,m,0.0084,,,,,0.00183,0.015,high,ln Euclidean distance to nearest bus route (m). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,beta5 (ln distance to bus route),transit_distance,D_location,log,m,0.00806,,,,,0.0016,0.0145,high,ln Euclidean distance to nearest bus route (m). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,gamma2 (ln crime rate),crime,F_neighbourhood,log,count,0.000414,,,,,-0.00336,0.00419,high,"ln homicides per 100,000 residents in district (2018), 0.001 added; district-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.","ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,gamma2 (ln crime rate),crime,F_neighbourhood,log,count,-6.36e-05,,,,,-0.00642,0.00641,high,"ln homicides per 100,000 residents in district (2018), 0.001 added; district-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.","ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,gamma2 (ln crime rate),crime,F_neighbourhood,log,count,0.000859,,,,,-0.00455,0.00622,high,"ln homicides per 100,000 residents in district (2018), 0.001 added; district-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.","ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,gamma3 (ln number of jobs in district),employment_access,D_location,log,count,0.0188,,,,,0.00934,0.0283,high,ln number of jobs in district (2018); district-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,gamma3 (ln number of jobs in district),employment_access,D_location,log,count,0.0203,,,,,0.00406,0.0367,high,ln number of jobs in district (2018); district-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,gamma3 (ln number of jobs in district),employment_access,D_location,log,count,0.0108,,,,,-0.00437,0.0261,high,ln number of jobs in district (2018); district-level covariate. Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.,"ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c1,3,1,10,gamma4 (ln poverty proxy),income,F_neighbourhood,log,count,-0.0195,,,,,-0.0346,-0.00427,high,"ln number of households with unsatisfied housing needs (Census 2011), poverty proxy; district-level covariate; closest leaf income (sign negative = poorer). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.","ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,"Linear model without multilevel effects (Bayesian, WinBUGS); posterior means; dependent variable is log of price per m2"
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c2,3,2,10,gamma4 (ln poverty proxy),income,F_neighbourhood,log,count,-0.0259,,,,,-0.0542,0.00214,high,"ln number of households with unsatisfied housing needs (Census 2011), poverty proxy; district-level covariate; closest leaf income (sign negative = poorer). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.","ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random-intercept model (district level); posterior means; dependent variable is log of price per m2
1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c,1cd473df8f393883694de4530b0d1c667382890c:T3-c3,3,3,10,gamma4 (ln poverty proxy),income,F_neighbourhood,log,count,-0.0117,,,,,-0.0349,0.0114,high,"ln number of households with unsatisfied housing needs (Census 2011), poverty proxy; district-level covariate; closest leaf income (sign negative = poorer). Bayesian posterior mean with 2.5% and 97.5% percentiles (95% posterior interval) recorded as ci_lo/ci_hi; no SE or stars printed.","ln housing price per m2 of living area (US$/m2), from listings",log,other,1264.0,,none,Multilevel random intercepts with intrinsic CAR spatial effect at district level; posterior means; dependent variable is log of price per m2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Number of rooms (ln),bedrooms,A_structural,log,count,0.64,0.052,,0.0,***,,,high,number of rooms (log),ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Number of rooms (ln),bedrooms,A_structural,log,count,0.556,0.052,,0.0,***,,,high,number of rooms (log),ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Number of toilets (0/1/2),bathrooms,A_structural,level,"count (0 = none, 1 = one, 2 = two or more sealed toilets)",0.467,0.052,,0.0,***,,,high,,ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Number of toilets (0/1/2),bathrooms,A_structural,level,"count (0 = none, 1 = one, 2 = two or more sealed toilets)",0.334,0.052,,0.0,***,,,high,,ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Wall is made of red bricks or cement (otherwise reference),roof_materials,A_structural,binary,binary,0.929,0.113,,0.0,***,,,high,wall material,ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Wall is made of red bricks or cement (otherwise reference),roof_materials,A_structural,binary,binary,0.847,0.111,,0.0,***,,,high,wall material,ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Roof is made of tiles (otherwise reference case),roof_materials,A_structural,binary,binary,0.143,0.054,,0.008,**,,,high,roof material,ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Roof is made of tiles (otherwise reference case),roof_materials,A_structural,binary,binary,0.138,0.053,,0.009,**,,,high,roof material,ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Overhead storage tank (not available reference case),other,other,binary,binary (water storage tank),0.323,0.048,,0.0,***,,,high,water storage tank present,ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Overhead storage tank (not available reference case),other,other,binary,binary (water storage tank),0.219,0.048,,0.0,***,,,high,water storage tank present,ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Mean household income by municipality (ln),income,F_neighbourhood,log,"currency (LKR, mean household income by municipality), log",0.355,0.112,,0.002,***,,,high,,ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Mean household income by municipality (ln),income,F_neighbourhood,log,"currency (LKR, mean household income by municipality), log",0.31,0.109,,0.005,***,,,high,,ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Percentage of Samurdhi recipients by municipality,other,other,level,share (proportion of welfare (Samurdhi) recipients in municipality),-1.856,0.414,,0.0,***,,,high,neighbourhood poverty proxy,ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Percentage of Samurdhi recipients by municipality,other,other,level,share (proportion of welfare (Samurdhi) recipients in municipality),-1.553,0.406,,0.0,***,,,high,neighbourhood poverty proxy,ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Distance to road in km (ln),highway_distance,D_location,log,km,-0.071,0.022,,0.001,***,,,high,distance to paved road,ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Distance to road in km (ln),highway_distance,D_location,log,km,-0.071,0.021,,0.0,***,,,high,distance to paved road,ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T2-c1,2,1,10,Household has access to private piped water connection (0/1),other,other,binary,binary,0.195,0.048,,0.0,***,,,high,key variable: private piped water connection (reference: non-piped sources only),ln of house appraisal value (LKR),log,OLS,1523.0,0.41,none,conventional hedonic model; SE and p value in separate columns; adj. R2
1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de,1ce55be799df6cb17762fb0541fe95340687f3de:T3-c1,3,1,11,Household has access to private piped water connection (0/1),other,other,binary,binary,0.152,0.047,,0.001,***,,,high,key variable: private piped water connection (reference: non-piped sources only),ln of house appraisal value (LKR),log,OLS,1491.0,0.45,none,adjusted hedonic model with household socio-economic characteristics; SE and p value in separate columns; adj. R2
1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868:T3-c1,3,1,14,treat × post,neighbourhood_amenities,F_neighbourhood,other,binary,0.0399,0.002,,,***,,,high,DiD interaction: house within 1 km of a religious heritage site (treatment ring) x after start of adaptive reuse project; control ring 1-2 km. Interpreted by authors as premium of 100*beta % (e.g. 3.99%).,"lnp, natural log of house transaction price (EUR)",log,OLS,342439.0,0.585,se,"Full sample, no controls; parametric DiD with year and neighbourhood fixed effects; robust SEs; adjusted R2"
1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868:T3-c2,3,2,14,treat × post,neighbourhood_amenities,F_neighbourhood,other,binary,0.0217,0.001,,,***,,,high,DiD interaction: house within 1 km of a religious heritage site (treatment ring) x after start of adaptive reuse project; control ring 1-2 km. Interpreted by authors as premium of 100*beta % (e.g. 3.99%).,"lnp, natural log of house transaction price (EUR)",log,OLS,342439.0,0.866,se,"Full sample, housing and neighbourhood controls; parametric DiD with year and neighbourhood fixed effects; robust SEs; adjusted R2"
1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868:T3-c3,3,3,14,treat × post,neighbourhood_amenities,F_neighbourhood,other,binary,0.0715,0.007,,,***,,,high,DiD interaction: house within 1 km of a religious heritage site (treatment ring) x after start of adaptive reuse project; control ring 1-2 km. Interpreted by authors as premium of 100*beta % (e.g. 3.99%).,"lnp, natural log of house transaction price (EUR)",log,OLS,64337.0,0.544,se,"Projects with size >= 5000 m2, no controls; parametric DiD with year and neighbourhood fixed effects; robust SEs; adjusted R2"
1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868:T3-c4,3,4,14,treat × post,neighbourhood_amenities,F_neighbourhood,other,binary,0.0338,0.003,,,***,,,high,DiD interaction: house within 1 km of a religious heritage site (treatment ring) x after start of adaptive reuse project; control ring 1-2 km. Interpreted by authors as premium of 100*beta % (e.g. 3.99%).,"lnp, natural log of house transaction price (EUR)",log,OLS,64337.0,0.872,se,"Projects with size >= 5000 m2, with controls; parametric DiD with year and neighbourhood fixed effects; robust SEs; adjusted R2"
1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868:T3-c5,3,5,14,treat × post,neighbourhood_amenities,F_neighbourhood,other,binary,0.0459,0.004,,,***,,,high,DiD interaction: house within 1 km of a religious heritage site (treatment ring) x after start of adaptive reuse project; control ring 1-2 km. Interpreted by authors as premium of 100*beta % (e.g. 3.99%).,"lnp, natural log of house transaction price (EUR)",log,OLS,159980.0,0.588,se,"National monuments only, no controls; parametric DiD with year and neighbourhood fixed effects; robust SEs; adjusted R2"
1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868,1d57857811e3f735e7c7dfe3dfb0c766f1aba868:T3-c6,3,6,14,treat × post,neighbourhood_amenities,F_neighbourhood,other,binary,0.0228,0.002,,,***,,,high,DiD interaction: house within 1 km of a religious heritage site (treatment ring) x after start of adaptive reuse project; control ring 1-2 km. Interpreted by authors as premium of 100*beta % (e.g. 3.99%).,"lnp, natural log of house transaction price (EUR)",log,OLS,159980.0,0.866,se,"National monuments only, with controls; parametric DiD with year and neighbourhood fixed effects; robust SEs; adjusted R2"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Floor low,floor_level,A_structural,binary,binary,-282.06,148.31,,,*,,,high,ground or first floor (reference: second-third floor); M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Floor low,floor_level,A_structural,binary,binary,-278.25,103.94,,,***,,,high,ground or first floor (reference: second-third floor); M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Floor low,floor_level,A_structural,binary,binary,-245.67,100.43,,,**,,,high,ground or first floor (reference: second-third floor); M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Floor low,floor_level,A_structural,binary,binary,-181.39,139.4,,,,,,high,ground or first floor (reference: second-third floor); M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Floor low,floor_level,A_structural,binary,binary,-59.53,273.26,,,,,,high,ground or first floor (reference: second-third floor); M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Floor high,floor_level,A_structural,binary,binary,-218.79,145.36,,,,,,high,fourth floor or higher (reference: second-third floor); M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Floor high,floor_level,A_structural,binary,binary,-258.78,102.9,,,***,,,high,fourth floor or higher (reference: second-third floor); M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Floor high,floor_level,A_structural,binary,binary,-227.98,100.03,,,***,,,high,fourth floor or higher (reference: second-third floor); M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Floor high,floor_level,A_structural,binary,binary,-101.96,139.94,,,,,,high,fourth floor or higher (reference: second-third floor); M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Floor high,floor_level,A_structural,binary,binary,124.35,276.12,,,,,,high,fourth floor or higher (reference: second-third floor); M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Lift,accessibility,B_interior,binary,binary,562.95,170.38,,,***,,,high,at least one elevator; M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Lift,accessibility,B_interior,binary,binary,579.63,119.65,,,***,,,high,at least one elevator; M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Lift,accessibility,B_interior,binary,binary,532.38,114.56,,,***,,,high,at least one elevator; M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Lift,accessibility,B_interior,binary,binary,575.58,156.44,,,***,,,high,at least one elevator; M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Lift,accessibility,B_interior,binary,binary,862.57,302.79,,,***,,,high,at least one elevator; M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Heating System,heating,A_structural,binary,binary,125.97,195.78,,,,,,high,autonomous (independent) heating system; M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Heating System,heating,A_structural,binary,binary,184.53,135.17,,,,,,high,autonomous (independent) heating system; M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Heating System,heating,A_structural,binary,binary,-1.57,30.98,,,,,,high,autonomous (independent) heating system; M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Heating System,heating,A_structural,binary,binary,-25.19,181.81,,,,,,high,autonomous (independent) heating system; M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Heating System,heating,A_structural,binary,binary,-567.16,345.35,,,,,,high,autonomous (independent) heating system; M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Parking area,parking,A_structural,binary,binary,1227.97,721.31,,,*,,,high,parking place or garage; M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Parking area,parking,A_structural,binary,binary,1940.22,462.08,,,***,,,high,parking place or garage; M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Parking area,parking,A_structural,binary,binary,2325.26,441.55,,,***,,,high,parking place or garage; M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Parking area,parking,A_structural,binary,binary,1913.61,602.36,,,***,,,high,parking place or garage; M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Parking area,parking,A_structural,binary,binary,1508.37,1103.27,,,,,,high,parking place or garage; M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Bathroom,bathrooms,A_structural,binary,binary,841.78,178.24,,,***,,,high,two or more bathrooms; M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Bathroom,bathrooms,A_structural,binary,binary,924.98,126.16,,,***,,,high,two or more bathrooms; M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Bathroom,bathrooms,A_structural,binary,binary,896.58,123.13,,,***,,,high,two or more bathrooms; M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Bathroom,bathrooms,A_structural,binary,binary,742.37,174.75,,,***,,,high,two or more bathrooms; M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Bathroom,bathrooms,A_structural,binary,binary,824.39,355.76,,,**,,,high,two or more bathrooms; M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Housing Area,living_area,A_structural,other,m2,13793.34,3749.06,,,***,,,medium,"total floor area, cubic polynomial (likely orthogonal polynomial basis - scale not interpretable per m2); M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1","annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Housing Area,living_area,A_structural,other,m2,2229.88,2575.02,,,,,,medium,"total floor area, cubic polynomial (likely orthogonal polynomial basis - scale not interpretable per m2); M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1","annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Housing Area,living_area,A_structural,other,m2,-18234.58,2402.27,,,***,,,medium,"total floor area, cubic polynomial (likely orthogonal polynomial basis - scale not interpretable per m2); M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1","annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Housing Area,living_area,A_structural,other,m2,-38649.82,3718.76,,,***,,,medium,"total floor area, cubic polynomial (likely orthogonal polynomial basis - scale not interpretable per m2); M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1","annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Housing Area,living_area,A_structural,other,m2,-59740.72,7237.17,,,***,,,medium,"total floor area, cubic polynomial (likely orthogonal polynomial basis - scale not interpretable per m2); M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1","annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Housing Area2,living_area,A_structural,squared,m2,26441.33,12661.3,,,**,,,medium,second polynomial term of floor area (likely orthogonal basis); M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Housing Area2,living_area,A_structural,squared,m2,88902.99,8845.19,,,***,,,medium,second polynomial term of floor area (likely orthogonal basis); M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Housing Area2,living_area,A_structural,squared,m2,201195.88,8073.78,,,***,,,medium,second polynomial term of floor area (likely orthogonal basis); M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Housing Area2,living_area,A_structural,squared,m2,312160.71,13545.17,,,***,,,medium,second polynomial term of floor area (likely orthogonal basis); M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Housing Area2,living_area,A_structural,squared,m2,450974.91,25960.66,,,***,,,medium,second polynomial term of floor area (likely orthogonal basis); M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Housing Area3,living_area,A_structural,other,m2,59418.29,11060.53,,,***,,,medium,third polynomial term of floor area (likely orthogonal basis); M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Housing Area3,living_area,A_structural,other,m2,21609.05,7778.6,,,***,,,medium,third polynomial term of floor area (likely orthogonal basis); M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Housing Area3,living_area,A_structural,other,m2,-70502.26,6841.9,,,***,,,medium,third polynomial term of floor area (likely orthogonal basis); M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Housing Area3,living_area,A_structural,other,m2,-146289.17,13132.12,,,***,,,medium,third polynomial term of floor area (likely orthogonal basis); M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Housing Area3,living_area,A_structural,other,m2,-281400.47,24340.79,,,***,,,medium,third polynomial term of floor area (likely orthogonal basis); M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Age,age,A_structural,binary,binary,385.45,162.86,,,**,,,high,1 = building constructed before 1950; M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Age,age,A_structural,binary,binary,467.61,115.82,,,***,,,high,1 = building constructed before 1950; M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Age,age,A_structural,binary,binary,536.03,112.99,,,***,,,high,1 = building constructed before 1950; M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Age,age,A_structural,binary,binary,662.14,159.36,,,***,,,high,1 = building constructed before 1950; M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Age,age,A_structural,binary,binary,1622.88,316.73,,,***,,,high,1 = building constructed before 1950; M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Abandoned area,vacancy,F_neighbourhood,binary,binary,-191.62,184.95,,,,,,high,1 = at least one abandoned/ruined site within 200 m; M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Abandoned area,vacancy,F_neighbourhood,binary,binary,-356.68,132.17,,,***,,,high,1 = at least one abandoned/ruined site within 200 m; M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Abandoned area,vacancy,F_neighbourhood,binary,binary,-506.7,127.0,,,***,,,high,1 = at least one abandoned/ruined site within 200 m; M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Abandoned area,vacancy,F_neighbourhood,binary,binary,-667.02,174.07,,,***,,,high,1 = at least one abandoned/ruined site within 200 m; M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Abandoned area,vacancy,F_neighbourhood,binary,binary,-1056.59,325.83,,,***,,,high,1 = at least one abandoned/ruined site within 200 m; M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,University,university_distance,D_location,binary,binary,808.94,146.14,,,***,,,high,1 = nearest university site within 441 m (first quartile); M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,University,university_distance,D_location,binary,binary,896.77,107.38,,,***,,,high,1 = nearest university site within 441 m (first quartile); M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,University,university_distance,D_location,binary,binary,927.38,106.5,,,***,,,high,1 = nearest university site within 441 m (first quartile); M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,University,university_distance,D_location,binary,binary,763.42,154.85,,,***,,,high,1 = nearest university site within 441 m (first quartile); M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,University,university_distance,D_location,binary,binary,513.88,297.03,,,*,,,high,1 = nearest university site within 441 m (first quartile); M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Metro,transit_distance,D_location,binary,binary,140.45,143.41,,,,,,high,1 = nearest metro station within 680 m (first quartile); M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Metro,transit_distance,D_location,binary,binary,-39.91,103.14,,,,,,high,1 = nearest metro station within 680 m (first quartile); M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Metro,transit_distance,D_location,binary,binary,-242.94,101.0,,,**,,,high,1 = nearest metro station within 680 m (first quartile); M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Metro,transit_distance,D_location,binary,binary,-402.89,141.32,,,***,,,high,1 = nearest metro station within 680 m (first quartile); M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Metro,transit_distance,D_location,binary,binary,-304.77,275.28,,,,,,high,1 = nearest metro station within 680 m (first quartile); M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q10,3,beta_0.10,16,Year,transaction_timing,G_market,binary,binary,-440.49,130.27,,,***,,,high,1 = sold in post-crisis period 2009-2010; M-quantile q=0.10; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.10, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q25,3,beta_0.25,16,Year,transaction_timing,G_market,binary,binary,-428.92,92.56,,,***,,,high,1 = sold in post-crisis period 2009-2010; M-quantile q=0.25; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.25, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q50,3,beta_0.50,16,Year,transaction_timing,G_market,binary,binary,-377.85,89.97,,,***,,,high,1 = sold in post-crisis period 2009-2010; M-quantile q=0.50; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.50, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q75,3,beta_0.75,16,Year,transaction_timing,G_market,binary,binary,-356.1,125.08,,,***,,,high,1 = sold in post-crisis period 2009-2010; M-quantile q=0.75; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.75, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d,1daf1d20ba429ff68e39043313dece9a679c8c5d:T3-q90,3,beta_0.90,16,Year,transaction_timing,G_market,binary,binary,-283.69,246.91,,,,,,high,1 = sold in post-crisis period 2009-2010; M-quantile q=0.90; stars *** p<0.01 ** p<0.05 * p<0.1,"annual market value of the dwelling (EUR, level)",level,quantile,3946.0,,se,"spatial semiparametric M-quantile regression (SSPMQ), q=0.90, Huber c=1.345, 20 knots Cultural Catalyst spline + 40 knots spatial thin-plate spline"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Domestic gardens,garden,C_exterior,level,share (fraction of census ward),2.03,0.32,,,***,,,high,ward share of domestic gardens; coefficient ~ % change for 1 pp increase,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Domestic gardens,garden,C_exterior,level,share (fraction of census ward),1.35,0.23,,,***,,,high,ward share of domestic gardens; coefficient ~ % change for 1 pp increase,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Domestic gardens,garden,C_exterior,level,share (fraction of census ward),1.01,0.119,,,***,,,high,ward share of domestic gardens; coefficient ~ % change for 1 pp increase,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Domestic gardens,garden,C_exterior,level,share (fraction of census ward),1.2,0.22,,,***,,,high,ward share of domestic gardens; coefficient ~ % change for 1 pp increase,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Green space,green_space,E_environment,level,share (fraction of census ward),1.5,0.16,,,***,,,high,ward share of green space,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Green space,green_space,E_environment,level,share (fraction of census ward),1.0,0.13,,,***,,,high,ward share of green space,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Green space,green_space,E_environment,level,share (fraction of census ward),1.04,0.08,,,***,,,high,ward share of green space,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Green space,green_space,E_environment,level,share (fraction of census ward),1.2,0.13,,,***,,,high,ward share of green space,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Water,water_proximity,E_environment,level,share (fraction of census ward),1.24,0.19,,,***,,,high,"ward share of water (share, not distance)",ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Water,water_proximity,E_environment,level,share (fraction of census ward),0.75,0.14,,,***,,,high,"ward share of water (share, not distance)",ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Water,water_proximity,E_environment,level,share (fraction of census ward),0.97,0.08,,,***,,,high,"ward share of water (share, not distance)",ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Water,water_proximity,E_environment,level,share (fraction of census ward),1.09,0.15,,,***,,,high,"ward share of water (share, not distance)",ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Domestic buildings,other,other,level,share (fraction of census ward),2.31,0.92,,,**,,,high,ward share of domestic buildings (land use control),ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Domestic buildings,other,other,level,share (fraction of census ward),1.21,0.45,,,***,,,high,ward share of domestic buildings (land use control),ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Domestic buildings,other,other,level,share (fraction of census ward),2.16,0.3,,,***,,,high,ward share of domestic buildings (land use control),ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Domestic buildings,other,other,level,share (fraction of census ward),2.3,0.16,,,***,,,high,ward share of domestic buildings (land use control),ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Other buildings,other,other,level,share (fraction of census ward),3.6,0.44,,,***,,,high,ward share of non-domestic buildings (land use control),ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Other buildings,other,other,level,share (fraction of census ward),2.89,0.35,,,***,,,high,ward share of non-domestic buildings (land use control),ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Other buildings,other,other,level,share (fraction of census ward),2.67,0.23,,,***,,,high,ward share of non-domestic buildings (land use control),ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Other buildings,other,other,level,share (fraction of census ward),3.02,0.29,,,***,,,high,ward share of non-domestic buildings (land use control),ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Green Belt,other,other,level,share (fraction of census ward),-0.01,0.03,,,,,,high,ward share designated Green Belt,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Green Belt,other,other,level,share (fraction of census ward),-0.03,0.04,,,,,,high,ward share designated Green Belt,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Green Belt,other,other,level,share (fraction of census ward),0.02,0.02,,,,,,high,ward share designated Green Belt,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Green Belt,other,other,level,share (fraction of census ward),0.03,0.02,,,**,,,high,ward share designated Green Belt,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,National Park,other,other,level,share (fraction of census ward),-0.14,0.06,,,**,,,high,"ward share within National Park designation; Model 1 SE printed as (-0.06), sign dropped",ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,National Park,other,other,level,share (fraction of census ward),-0.02,0.05,,,,,,high,"ward share within National Park designation; Model 1 SE printed as (-0.06), sign dropped",ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,National Park,other,other,level,share (fraction of census ward),0.05,0.04,,,,,,high,"ward share within National Park designation; Model 1 SE printed as (-0.06), sign dropped",ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,National Park,other,other,level,share (fraction of census ward),0.01,0.04,,,,,,high,"ward share within National Park designation; Model 1 SE printed as (-0.06), sign dropped",ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Ward area (km2),other,other,level,km2,2e-06,5e-07,,,***,,,high,census ward area control,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Ward area (km2),other,other,level,km2,7e-07,4e-07,,,*,,,high,census ward area control,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Ward area (km2),other,other,level,km2,9e-07,2e-07,,,***,,,high,census ward area control,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Ward area (km2),other,other,level,km2,1e-06,5e-07,,,**,,,high,census ward area control,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Distance (100kms) to: Coastline,water_proximity,E_environment,level,100 km,-0.15,0.11,,,,,,high,distance to coastline in 100 km,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Distance (100kms) to: Coastline,water_proximity,E_environment,level,100 km,-0.15,0.08,,,**,,,high,distance to coastline in 100 km,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Distance (100kms) to: Coastline,water_proximity,E_environment,level,100 km,-0.14,0.13,,,,,,high,distance to coastline in 100 km,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Distance (100kms) to: Coastline,water_proximity,E_environment,level,100 km,-0.53,0.24,,,***,,,high,distance to coastline in 100 km,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Distance (100kms) to: Coastline,water_proximity,E_environment,level,100 km,-0.2,0.12,,,*,,,high,distance to coastline in 100 km,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Distance (100kms) to: Rivers,water_proximity,E_environment,level,100 km,1.35,0.97,,,,,,high,distance to rivers in 100 km,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Distance (100kms) to: Rivers,water_proximity,E_environment,level,100 km,0.92,1.01,,,,,,high,distance to rivers in 100 km,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Distance (100kms) to: Rivers,water_proximity,E_environment,level,100 km,-0.91,0.69,,,*,,,high,distance to rivers in 100 km,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Distance (100kms) to: Rivers,water_proximity,E_environment,level,100 km,-2.16,0.48,,,***,,,high,distance to rivers in 100 km,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Distance (100kms) to: Rivers,water_proximity,E_environment,level,100 km,-1.05,0.62,,,*,,,high,distance to rivers in 100 km,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Distance (100kms) to: National Parks,green_space,E_environment,level,100 km,0.22,0.09,,,**,,,high,distance to National Parks in 100 km,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Distance (100kms) to: National Parks,green_space,E_environment,level,100 km,0.17,0.06,,,**,,,high,distance to National Parks in 100 km,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Distance (100kms) to: National Parks,green_space,E_environment,level,100 km,-0.24,0.09,,,***,,,high,distance to National Parks in 100 km,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Distance (100kms) to: National Parks,green_space,E_environment,level,100 km,-0.4,0.14,,,***,,,high,distance to National Parks in 100 km,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Distance (100kms) to: Nature Reserves,green_space,E_environment,level,100 km,-0.54,0.2,,,***,,,high,distance to nature reserves in 100 km,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Distance (100kms) to: Nature Reserves,green_space,E_environment,level,100 km,-0.42,0.19,,,***,,,high,distance to nature reserves in 100 km,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Distance (100kms) to: Nature Reserves,green_space,E_environment,level,100 km,-0.07,0.23,,,,,,high,distance to nature reserves in 100 km,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Distance (100kms) to: Nature Reserves,green_space,E_environment,level,100 km,-0.28,0.51,,,,,,high,distance to nature reserves in 100 km,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Distance (100kms) to: National Trust properties,neighbourhood_amenities,F_neighbourhood,level,100 km,-1.85,0.33,,,***,,,high,distance to National Trust (heritage) properties in 100 km,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Distance (100kms) to: National Trust properties,neighbourhood_amenities,F_neighbourhood,level,100 km,-1.67,0.25,,,***,,,high,distance to National Trust (heritage) properties in 100 km,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Distance (100kms) to: National Trust properties,neighbourhood_amenities,F_neighbourhood,level,100 km,-0.7,0.17,,,***,,,high,distance to National Trust (heritage) properties in 100 km,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Distance (100kms) to: National Trust properties,neighbourhood_amenities,F_neighbourhood,level,100 km,-0.38,0.33,,,,,,high,distance to National Trust (heritage) properties in 100 km,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Land in 1km x 1km square: Marine and coastal margins,other,other,level,share (fraction of 1 km2 square),-0.36,0.23,,,,,,high,"landcover share, omitted = urban",ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Land in 1km x 1km square: Marine and coastal margins,other,other,level,share (fraction of 1 km2 square),-0.26,0.12,,,**,,,high,"landcover share, omitted = urban",ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Land in 1km x 1km square: Marine and coastal margins,other,other,level,share (fraction of 1 km2 square),0.04,0.04,,,,,,high,"landcover share, omitted = urban",ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Land in 1km x 1km square: Marine and coastal margins,other,other,level,share (fraction of 1 km2 square),-0.15,0.12,,,,,,high,"landcover share, omitted = urban",ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Land in 1km x 1km square: Marine and coastal margins,other,other,level,share (fraction of 1 km2 square),0.04,0.04,,,,,,high,"landcover share, omitted = urban",ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,"Land in 1km x 1km square: Freshwater, wetlands, floodplains",water_proximity,E_environment,level,share (fraction of 1 km2 square),1.05,0.27,,,***,,,high,"landcover share of freshwater/wetland/floodplain (share, not distance)",ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,"Land in 1km x 1km square: Freshwater, wetlands, floodplains",water_proximity,E_environment,level,share (fraction of 1 km2 square),1.09,0.21,,,***,,,high,"landcover share of freshwater/wetland/floodplain (share, not distance)",ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,"Land in 1km x 1km square: Freshwater, wetlands, floodplains",water_proximity,E_environment,level,share (fraction of 1 km2 square),0.4,0.15,,,***,,,high,"landcover share of freshwater/wetland/floodplain (share, not distance)",ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,"Land in 1km x 1km square: Freshwater, wetlands, floodplains",water_proximity,E_environment,level,share (fraction of 1 km2 square),0.47,0.02,,,***,,,high,"landcover share of freshwater/wetland/floodplain (share, not distance)",ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,"Land in 1km x 1km square: Freshwater, wetlands, floodplains",water_proximity,E_environment,level,share (fraction of 1 km2 square),0.32,0.14,,,**,,,high,"landcover share of freshwater/wetland/floodplain (share, not distance)",ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,"Land in 1km x 1km square: Mountains, moors and heathland",green_space,E_environment,level,share (fraction of 1 km2 square),0.09,0.22,,,,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,"Land in 1km x 1km square: Mountains, moors and heathland",green_space,E_environment,level,share (fraction of 1 km2 square),0.19,0.21,,,,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,"Land in 1km x 1km square: Mountains, moors and heathland",green_space,E_environment,level,share (fraction of 1 km2 square),0.09,0.1,,,,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,"Land in 1km x 1km square: Mountains, moors and heathland",green_space,E_environment,level,share (fraction of 1 km2 square),0.08,0.21,,,,,,high,landcover share,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,"Land in 1km x 1km square: Mountains, moors and heathland",green_space,E_environment,level,share (fraction of 1 km2 square),-0.07,0.08,,,,,,high,landcover share,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Land in 1km x 1km square: Semi-natural grassland,green_space,E_environment,level,share (fraction of 1 km2 square),-0.18,0.06,,,***,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Land in 1km x 1km square: Semi-natural grassland,green_space,E_environment,level,share (fraction of 1 km2 square),-0.25,0.06,,,***,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Land in 1km x 1km square: Semi-natural grassland,green_space,E_environment,level,share (fraction of 1 km2 square),-0.01,0.02,,,,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Land in 1km x 1km square: Semi-natural grassland,green_space,E_environment,level,share (fraction of 1 km2 square),-0.02,0.04,,,,,,high,landcover share,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Land in 1km x 1km square: Semi-natural grassland,green_space,E_environment,level,share (fraction of 1 km2 square),-0.02,0.03,,,,,,high,landcover share,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Land in 1km x 1km square: Enclosed farmland,other,other,level,share (fraction of 1 km2 square),0.16,0.07,,,,,,high,landcover share of farmland,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Land in 1km x 1km square: Enclosed farmland,other,other,level,share (fraction of 1 km2 square),0.08,0.03,,,,,,high,landcover share of farmland,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Land in 1km x 1km square: Enclosed farmland,other,other,level,share (fraction of 1 km2 square),0.06,0.01,,,***,,,high,landcover share of farmland,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Land in 1km x 1km square: Enclosed farmland,other,other,level,share (fraction of 1 km2 square),0.07,0.02,,,***,,,high,landcover share of farmland,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Land in 1km x 1km square: Enclosed farmland,other,other,level,share (fraction of 1 km2 square),0.09,0.02,,,***,,,high,landcover share of farmland,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Land in 1km x 1km square: Coniferous woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.53,0.22,,,**,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Land in 1km x 1km square: Coniferous woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.33,0.15,,,*,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Land in 1km x 1km square: Coniferous woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.12,0.06,,,*,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Land in 1km x 1km square: Coniferous woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.09,0.12,,,,,,high,landcover share,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Land in 1km x 1km square: Coniferous woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.15,0.07,,,**,,,high,landcover share,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Land in 1km x 1km square: Broadleaved woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.82,0.08,,,***,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Land in 1km x 1km square: Broadleaved woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.6,0.07,,,***,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Land in 1km x 1km square: Broadleaved woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.19,0.04,,,***,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Land in 1km x 1km square: Broadleaved woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.17,0.08,,,***,,,high,landcover share,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Land in 1km x 1km square: Broadleaved woodland,green_space,E_environment,level,share (fraction of 1 km2 square),0.25,0.04,,,***,,,high,landcover share,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M1,2,1,29,Land in 1km x 1km square: Inland bare ground,other,other,level,share (fraction of 1 km2 square),-0.87,0.31,,,**,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.516,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,29,Land in 1km x 1km square: Inland bare ground,other,other,level,share (fraction of 1 km2 square),-0.73,0.27,,,**,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,29,Land in 1km x 1km square: Inland bare ground,other,other,level,share (fraction of 1 km2 square),-0.38,0.1,,,***,,,high,landcover share,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,29,Land in 1km x 1km square: Inland bare ground,other,other,level,share (fraction of 1 km2 square),-0.42,0.12,,,***,,,high,landcover share,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,29,Land in 1km x 1km square: Inland bare ground,other,other,level,share (fraction of 1 km2 square),-0.45,0.12,,,***,,,high,landcover share,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Distance to station,transit_distance,D_location,level,100 km,-1.15,0.25,,,***,,,high,distance to railway station in 100 km (table unit header),ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Distance to station,transit_distance,D_location,level,100 km,-0.14,0.21,,,,,,high,distance to railway station in 100 km (table unit header),ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Distance to station,transit_distance,D_location,level,100 km,-0.15,0.58,,,,,,high,distance to railway station in 100 km (table unit header),ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,30,Distance to station,transit_distance,D_location,level,100 km,0.06,0.2,,,,,,high,distance to railway station in 100 km (table unit header),ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Distance to motorways,highway_distance,D_location,level,100 km,-0.27,0.07,,,***,,,high,,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Distance to motorways,highway_distance,D_location,level,100 km,-0.17,0.11,,,,,,high,,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Distance to motorways,highway_distance,D_location,level,100 km,-0.38,0.41,,,,,,high,,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,30,Distance to motorways,highway_distance,D_location,level,100 km,-0.06,0.1,,,,,,high,,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Distance to primary road,highway_distance,D_location,level,100 km,0.69,0.38,,,,,,high,,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Distance to primary road,highway_distance,D_location,level,100 km,-0.17,0.17,,,,,,high,,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Distance to primary road,highway_distance,D_location,level,100 km,0.06,0.46,,,,,,high,,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,30,Distance to primary road,highway_distance,D_location,level,100 km,0.1,0.18,,,,,,high,,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Distance to A-road,highway_distance,D_location,level,100 km,-0.64,0.24,,,***,,,high,,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Distance to A-road,highway_distance,D_location,level,100 km,0.16,0.2,,,,,,high,,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Distance to A-road,highway_distance,D_location,level,100 km,0.33,0.58,,,,,,high,,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,30,Distance to A-road,highway_distance,D_location,level,100 km,0.51,0.26,,,**,,,high,,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Population (1000s/km2),density,F_neighbourhood,level,1000 persons per km2,0.03,0.008,,,***,,,high,,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Population (1000s/km2),density,F_neighbourhood,level,1000 persons per km2,0.002,0.005,,,,,,high,,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Population (1000s/km2),density,F_neighbourhood,level,1000 persons per km2,0.004,0.003,,,,,,high,,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,30,Population (1000s/km2),density,F_neighbourhood,level,1000 persons per km2,0.002,0.007,,,,,,high,,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Age7-11 Value Added (standard deviation),school_quality,F_neighbourhood,level,standard deviation,0.035,0.006,,,***,,,high,"primary school value-added (Key Stage 1-2), in SD units",ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Age7-11 Value Added (standard deviation),school_quality,F_neighbourhood,level,standard deviation,0.022,0.004,,,***,,,high,"primary school value-added (Key Stage 1-2), in SD units",ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Age7-11 Value Added (standard deviation),school_quality,F_neighbourhood,level,standard deviation,0.032,0.004,,,***,,,high,"primary school value-added (Key Stage 1-2), in SD units",ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Distance to School,school_distance,D_location,level,100 km,-0.17,0.27,,,,,,high,distance to nearest primary school; interacted with value added (interaction not extracted),ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Distance to School,school_distance,D_location,level,100 km,0.85,0.33,,,***,,,high,distance to nearest primary school; interacted with value added (interaction not extracted),ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Distance to School,school_distance,D_location,level,100 km,4.49,1.34,,,***,,,high,distance to nearest primary school; interacted with value added (interaction not extracted),ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M2,2,2,30,Distance to TTWA centre,cbd_distance,D_location,level,100 km,0.98,0.14,,,***,,,high,distance to Travel-to-Work-Area centre,ln house sale price,log,OLS,1013125.0,0.766,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M3,2,3,30,Distance to TTWA centre,cbd_distance,D_location,level,100 km,-0.61,0.27,,,**,,,high,distance to Travel-to-Work-Area centre,ln house sale price,log,OLS,1013125.0,0.865,se,England 1996-2008
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Distance to TTWA centre,cbd_distance,D_location,level,100 km,-1.09,0.49,,,**,,,high,distance to Travel-to-Work-Area centre,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M5,2,5,30,Distance to TTWA centre,cbd_distance,D_location,level,100 km,-0.6,0.26,,,**,,,high,distance to Travel-to-Work-Area centre,ln house sale price,log,OLS,1135234.0,0.854,se,All Great Britain
22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6,22e62fc82c4ed1c605cd41b5c6124856f4afd7c6:T2-M4,2,4,30,Distance to nearest church,other,other,level,100 km,-4.21,0.95,,,***,,,high,Model 4 only,ln house sale price,log,OLS,448936.0,0.854,se,"Metropolitan TTWAs (North West, West Midlands, London), sales within 2 km of nearest church"
2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88:T5-c1,5,1,9,Ln_S***,living_area,A_structural,log,m2,1.245,,32.311,0.0,***,,,high,Log of gross floor area (m2),"Ln(P), total price of new residence in 10,000 RMB",log,OLS,378.0,0.782,t,Final model after collinearity elimination; t-ratio and p-value in separate columns
2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88:T5-c1,5,1,9,Ln_DC***,cbd_distance,D_location,log,km,-0.268,,-0.924,0.0,***,,,medium,"Log straight-line distance to CBD (km); printed t-ratio -0.924 inconsistent with p=0.000 and ***, as printed","Ln(P), total price of new residence in 10,000 RMB",log,OLS,378.0,0.782,t,Final model after collinearity elimination; t-ratio and p-value in separate columns
2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88:T5-c1,5,1,9,HB***,floor_level,A_structural,dummy,binary,-0.142,,-4.538,0.0,***,,,high,"High-rise building above 12 floors dummy (building height, not unit floor)","Ln(P), total price of new residence in 10,000 RMB",log,OLS,378.0,0.782,t,Final model after collinearity elimination; t-ratio and p-value in separate columns
2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88:T5-c1,5,1,9,Ln_DS***,transit_distance,D_location,log,km,-0.061,,-3.174,0.002,***,,,high,Log straight-line distance to nearest subway station (km),"Ln(P), total price of new residence in 10,000 RMB",log,OLS,378.0,0.782,t,Final model after collinearity elimination; t-ratio and p-value in separate columns
2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88:T5-c1,5,1,9,E**,school_quality,F_neighbourhood,dummy,binary,0.09,,2.097,0.037,**,,,high,Within 825 m buffer of a Key Primary School (attendance zone proxy),"Ln(P), total price of new residence in 10,000 RMB",log,OLS,378.0,0.782,t,Final model after collinearity elimination; t-ratio and p-value in separate columns
2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88,2344ebd24eeebb31c33011f3e72a12383c3c1e88:T5-c1,5,1,9,SN*,sunlight,E_environment,dummy,binary,0.044,,1.69,0.092,*,,,high,South-facing residence dummy,"Ln(P), total price of new residence in 10,000 RMB",log,OLS,378.0,0.782,t,Final model after collinearity elimination; t-ratio and p-value in separate columns
25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0:T2-c1,2,1,5,Geographic Position,other,other,other,index,58080.342,8630.594,6.73,0.0,,,,high,"District code: Tianqiao=1, Huaiyin=2, Shizhong=3, Lixia=4 (categorical district entered as a numeric code); standardized coefficient printed = 0.239; p printed as 0.000","total housing sales price, RMB",level,OLS,226.0,0.731,none,"Second-step multivariate linear regression (SPSS 18) after dropping rooms, halls, toilets, housing years and floors (insignificant); R2 0.731, adj. R2 0.723, F=98.952; B, Std. Error, t and Sig. printed in columns"
25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0:T2-c1,2,1,5,The Number of Verandas,terrace_balcony,C_exterior,level,count,-35112.641,14006.309,-2.507,0.013,,,,high,Number of verandas (balconies) in the dwelling; standardized coefficient printed = -0.092; p printed as 0.013,"total housing sales price, RMB",level,OLS,226.0,0.731,none,"Second-step multivariate linear regression (SPSS 18) after dropping rooms, halls, toilets, housing years and floors (insignificant); R2 0.731, adj. R2 0.723, F=98.952; B, Std. Error, t and Sig. printed in columns"
25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0:T2-c1,2,1,5,Building area,living_area,A_structural,level,m2,6972.19,363.181,19.198,0.0,,,,high,Building area of the property in m2; standardized coefficient printed = 0.713; p printed as 0.000,"total housing sales price, RMB",level,OLS,226.0,0.731,none,"Second-step multivariate linear regression (SPSS 18) after dropping rooms, halls, toilets, housing years and floors (insignificant); R2 0.731, adj. R2 0.723, F=98.952; B, Std. Error, t and Sig. printed in columns"
25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0:T2-c1,2,1,5,Housing type,storeys,A_structural,other,index,29134.01,11631.539,2.505,0.013,,,,high,"Building height class: multi-storey (<=7 floors)=0, small high-rise (8-12)=1, high-rise (>13)=2, entered linearly; standardized coefficient printed = 0.099; p printed as 0.013","total housing sales price, RMB",level,OLS,226.0,0.731,none,"Second-step multivariate linear regression (SPSS 18) after dropping rooms, halls, toilets, housing years and floors (insignificant); R2 0.731, adj. R2 0.723, F=98.952; B, Std. Error, t and Sig. printed in columns"
25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0:T2-c1,2,1,5,Decoration,condition,A_structural,other,index,25098.127,8085.78,3.104,0.002,,,,high,"Decoration standard ordinal 1 (blank/clear-water) to 5 (luxury decoration), entered linearly (interior finish quality); standardized coefficient printed = 0.11; p printed as 0.002","total housing sales price, RMB",level,OLS,226.0,0.731,none,"Second-step multivariate linear regression (SPSS 18) after dropping rooms, halls, toilets, housing years and floors (insignificant); R2 0.731, adj. R2 0.723, F=98.952; B, Std. Error, t and Sig. printed in columns"
25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0,25220943ab063e0fe03168460d2005c02cf25de0:T2-c1,2,1,5,Facilities,heating,A_structural,binary,binary,105639.321,26027.895,4.059,0.0,,,,high,"Double-gas-source facilities = 1 (central heating and piped natural gas available), 0 otherwise; standardized coefficient printed = 0.158; p printed as 0.000","total housing sales price, RMB",level,OLS,226.0,0.731,none,"Second-step multivariate linear regression (SPSS 18) after dropping rooms, halls, toilets, housing years and floors (insignificant); R2 0.731, adj. R2 0.723, F=98.952; B, Std. Error, t and Sig. printed in columns"
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,LandPrice,other,other,level,currency,0.138,,,,,,,medium,"Mean of coefficients across 10 CV folds; SD across folds = 0.005 (not an SE). p printed as <0.000. Average land price in zip-code area, Yen/m2",Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,Area,living_area,A_structural,level,m2,1044.0,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 50.83 (not an SE). p printed as <0.000.,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,Year,age,A_structural,level,years,929.8,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 57.14 (not an SE). p printed as <0.000. Year of building completion (higher = newer),Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,FPV,multimodal_embedding,H_ai_derived,level,index,599.0,,,,,,,medium,"Mean of coefficients across 10 CV folds; SD across folds = 90.81 (not an SE). p printed as <0.000. Floor-plan value learned by GCN from access graph of floor-plan image (deviation score, mean 50, SD 10)",Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,L_Building,storeys,A_structural,level,count,1073.0,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 236.5 (not an SE). p printed as <0.000. Number of building floors,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,Passenger,other,other,level,count,0.071,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 0.011 (not an SE). p printed as <0.000. Daily passengers at nearest station (2016),Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,L_Room,floor_level,A_structural,level,count,838.3,,,0.001,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 368.1 (not an SE). p = mean across folds (SD 0.001). Floor of housing unit,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,Distance,transit_distance,D_location,level,m,-2.929,,,0.025,,,,medium,"Mean of coefficients across 10 CV folds; SD across folds = 0.963 (not an SE). p = mean across folds (SD 0.08). Distance to nearest station/bus stop, metres",Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T5-FPV,5,FPV model (mean over 10 folds),12,Structure_RC,roof_materials,A_structural,binary,binary,3032.0,,,0.299,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 2746 (not an SE). p = mean across folds (SD 0.189). Reinforced-concrete structure,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + GCN floor-plan value; mean adj. R2 across folds 0.79 (Fig. 11)
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Land price,other,other,level,currency,0.141,,,,,,,medium,"Mean of coefficients across 10 CV folds; SD across folds = 0.007 (not an SE). p printed as <0.000. Average land price in zip-code area, Yen/m2",Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Area,living_area,A_structural,level,m2,1098.0,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 86.27 (not an SE). p printed as <0.000.,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Year,age,A_structural,level,years,926.6,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 87.12 (not an SE). p printed as <0.000. Year of building completion (higher = newer),Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,F_Building,storeys,A_structural,level,count,1299.0,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 329.8 (not an SE). p printed as <0.000. Number of building floors,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Passenger,other,other,level,count,0.072,,,,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 0.013 (not an SE). p printed as <0.000. Daily passengers at nearest station,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Distance,transit_distance,D_location,level,m,-3.322,,,0.019,,,,medium,"Mean of coefficients across 10 CV folds; SD across folds = 1.1 (not an SE). p = mean across folds (SD 0.061). Distance to nearest station/bus stop, metres",Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,F_Dwelling,floor_level,A_structural,level,count,808.1,,,0.058,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 471.1 (not an SE). p = mean across folds (SD 0.155). Floor of housing unit,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,RRA_jp,other,other,level,index,-3987.0,,,0.02,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 1469 (not an SE). p = mean across folds (SD 0.038). Access-graph feature: real relative asymmetry of Japanese room,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Num_cl,storage,B_interior,level,count,1211.0,,,0.102,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 614.0 (not an SE). p = mean across folds (SD 0.224). Number of closets (graph nodes),Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Num_bl,terrace_balcony,C_exterior,level,count,1533.0,,,0.112,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 690.4 (not an SE). p = mean across folds (SD 0.168). Number of balconies (graph nodes),Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,RRA_wc,other,other,level,index,4082.0,,,0.195,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 2343 (not an SE). p = mean across folds (SD 0.231). Access-graph feature: relative asymmetry of toilet,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Num_edge,other,other,level,count,-568.9,,,0.148,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 250.1 (not an SE). p = mean across folds (SD 0.187). Number of access-graph edges,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Depth_en,other,other,level,count,631.6,,,0.428,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 1077 (not an SE). p = mean across folds (SD 0.324). Depth of entrance in access graph,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,RRA_bt,other,other,level,index,-2354.0,,,0.45,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 3229 (not an SE). p = mean across folds (SD 0.333). Access-graph feature: relative asymmetry of bathroom,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,Structure_RC,roof_materials,A_structural,binary,binary,2871.0,,,0.382,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 3362 (not an SE). p = mean across folds (SD 0.259). Reinforced-concrete structure,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015,2580ac3af513b0ee5f2e19ed10bd991f2a8c8015:T6-GF,6,Graph-feature (GF) model (mean over 10 folds),13,H*,other,other,level,index,-5471.0,,,0.593,,,,medium,Mean of coefficients across 10 CV folds; SD across folds = 8045 (not an SE). p = mean across folds (SD 0.383). Access-graph integration/entropy measure,Rent (Yen/month),level,OLS,15323.0,,none,baseline attributes + explicit access-graph features
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c1,7,1,14,No_rooms,bedrooms,A_structural,level,count,0.31,,22.75,,***,,,high,"Number of rooms (all rooms, not only bedrooms)",ln(Price): log sale price of the apartment,log,OLS,765.0,0.4,t,"Bivariate regression: single regressor No_rooms, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c1,8,1,15,No_rooms,bedrooms,A_structural,level,count,0.3,,22.31,,***,,,high,"Number of rooms (all rooms, not only bedrooms)",ln(Price): log sale price of the apartment,log,OLS,765.0,0.41,t,Bivariate regression: single regressor No_rooms plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c1,8,1,15,Duration,time_on_market,G_market,level,days,0.0,,2.45,,*,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.41,t,Bivariate regression: single regressor No_rooms plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c2,7,2,14,S_useful,living_area,A_structural,level,m2,0.01,,36.13,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,760.0,0.63,t,"Bivariate regression: single regressor S_useful, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c2,8,2,15,S_useful,living_area,A_structural,level,m2,0.01,,35.48,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,760.0,0.63,t,Bivariate regression: single regressor S_useful plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c2,8,2,15,Duration,time_on_market,G_market,level,days,-0.0,,-0.26,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,760.0,0.63,t,Bivariate regression: single regressor S_useful plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c3,7,3,14,S_constructed,living_area,A_structural,level,m2,0.01,,35.2,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,762.0,0.62,t,"Bivariate regression: single regressor S_constructed, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c3,8,3,15,S_constructed,living_area,A_structural,level,m2,0.01,,34.56,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,762.0,0.62,t,Bivariate regression: single regressor S_constructed plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c3,8,3,15,Duration,time_on_market,G_market,level,days,-0.0,,-0.79,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,762.0,0.62,t,Bivariate regression: single regressor S_constructed plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c4,7,4,14,Comfort,condition,A_structural,binary,binary,0.52,,11.05,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,734.0,0.14,t,"Bivariate regression: single regressor Comfort, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c4,8,4,15,Comfort,condition,A_structural,binary,binary,0.51,,10.72,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,734.0,0.15,t,Bivariate regression: single regressor Comfort plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c4,8,4,15,Duration,time_on_market,G_market,level,days,0.0,,1.56,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,734.0,0.15,t,Bivariate regression: single regressor Comfort plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c5,7,5,14,Floor,floor_level,A_structural,level,count,-0.02,,-4.26,,***,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,"Bivariate regression: single regressor Floor, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c5,8,5,15,Floor,floor_level,A_structural,level,count,-0.02,,-4.23,,***,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,765.0,0.05,t,Bivariate regression: single regressor Floor plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c5,8,5,15,Duration,time_on_market,G_market,level,days,0.0,,4.19,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.05,t,Bivariate regression: single regressor Floor plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c6,7,6,14,No_bathrooms,bathrooms,A_structural,level,count,0.49,,17.23,,***,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,765.0,0.28,t,"Bivariate regression: single regressor No_bathrooms, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c6,8,6,15,No_bathrooms,bathrooms,A_structural,level,count,0.48,,17.01,,***,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,765.0,0.29,t,Bivariate regression: single regressor No_bathrooms plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c6,8,6,15,Duration,time_on_market,G_market,level,days,0.0,,3.55,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.29,t,Bivariate regression: single regressor No_bathrooms plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c7,7,7,14,No_balconies,terrace_balcony,C_exterior,level,count,0.29,,8.71,,***,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,706.0,0.1,t,"Bivariate regression: single regressor No_balconies, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c7,8,7,15,No_balconies,terrace_balcony,C_exterior,level,count,0.28,,8.47,,***,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,706.0,0.11,t,Bivariate regression: single regressor No_balconies plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c7,8,7,15,Duration,time_on_market,G_market,level,days,0.0,,2.73,,**,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,706.0,0.11,t,Bivariate regression: single regressor No_balconies plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c8,7,8,14,No_parking,parking,A_structural,level,count,0.3,,4.74,,***,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,317.0,0.07,t,"Bivariate regression: single regressor No_parking, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c8,8,8,15,No_parking,parking,A_structural,level,count,0.28,,4.39,,***,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,317.0,0.07,t,Bivariate regression: single regressor No_parking plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c8,8,8,15,Duration,time_on_market,G_market,level,days,0.0,,1.67,,†,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,317.0,0.07,t,Bivariate regression: single regressor No_parking plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c9,7,9,14,Seniority_construction,age,A_structural,level,years,-0.01,,-7.6,,***,,,high,Years since construction (age),ln(Price): log sale price of the apartment,log,OLS,685.0,0.08,t,"Bivariate regression: single regressor Seniority_construction, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c9,8,9,15,Seniority_construction,age,A_structural,level,years,-0.01,,-6.98,,***,,,high,Years since construction (age),ln(Price): log sale price of the apartment,log,OLS,685.0,0.09,t,Bivariate regression: single regressor Seniority_construction plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c9,8,9,15,Duration,time_on_market,G_market,level,days,0.0,,3.05,,**,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,685.0,0.09,t,Bivariate regression: single regressor Seniority_construction plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c10,7,10,14,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.23,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,451.0,0.0,t,"Bivariate regression: single regressor Seniority_renovation, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c10,8,10,15,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.32,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,451.0,0.02,t,Bivariate regression: single regressor Seniority_renovation plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c10,8,10,15,Duration,time_on_market,G_market,level,days,0.0,,3.05,,**,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,451.0,0.02,t,Bivariate regression: single regressor Seniority_renovation plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T7-c11,7,11,14,Structure,roof_materials,A_structural,binary,binary,0.08,,1.65,,†,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,669.0,0.0,t,"Bivariate regression: single regressor Structure, full sample of apartment transactions 2014-2018"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c11,8,11,15,Structure,roof_materials,A_structural,binary,binary,0.1,,1.97,,*,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,669.0,0.03,t,Bivariate regression: single regressor Structure plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T8-c11,8,11,15,Duration,time_on_market,G_market,level,days,0.0,,4.2,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,669.0,0.03,t,Bivariate regression: single regressor Structure plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c1,9,1,16,Height_regime_1,storeys,A_structural,dummy,binary,-0.23,,-7.75,,***,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.07,t,Bivariate regression: single height-regime dummy Height_regime_1 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c1,10,1,16,Height_regime_1,storeys,A_structural,dummy,binary,-0.22,,-7.35,,***,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.09,t,Bivariate regression: single height-regime dummy Height_regime_1 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c1,10,1,16,Duration,time_on_market,G_market,level,days,0.0,,3.48,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.09,t,Bivariate regression: single height-regime dummy Height_regime_1 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c2,9,2,16,Height_regime_2,storeys,A_structural,dummy,binary,0.18,,2.06,,*,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.01,t,Bivariate regression: single height-regime dummy Height_regime_2 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c2,10,2,16,Height_regime_2,storeys,A_structural,dummy,binary,0.18,,2.04,,*,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_2 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c2,10,2,16,Duration,time_on_market,G_market,level,days,0.0,,4.21,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_2 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c3,9,3,16,Height_regime_3,storeys,A_structural,dummy,binary,0.3,,3.09,,**,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.01,t,Bivariate regression: single height-regime dummy Height_regime_3 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c3,10,3,16,Height_regime_3,storeys,A_structural,dummy,binary,0.27,,2.87,,**,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_3 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c3,10,3,16,Duration,time_on_market,G_market,level,days,0.0,,4.06,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_3 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c4,9,4,16,Height_regime_4,storeys,A_structural,dummy,binary,-0.01,,-0.23,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.0,t,Bivariate regression: single height-regime dummy Height_regime_4 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c4,10,4,16,Height_regime_4,storeys,A_structural,dummy,binary,-0.05,,-0.99,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_4 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c4,10,4,16,Duration,time_on_market,G_market,level,days,0.0,,4.32,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_4 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c5,9,5,16,Height_regime_5,storeys,A_structural,dummy,binary,0.04,,1.04,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.0,t,Bivariate regression: single height-regime dummy Height_regime_5 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c5,10,5,16,Height_regime_5,storeys,A_structural,dummy,binary,0.04,,1.09,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_5 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c5,10,5,16,Duration,time_on_market,G_market,level,days,0.0,,4.23,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_5 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c6,9,6,16,Height_regime_6,storeys,A_structural,dummy,binary,0.23,,3.37,,***,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.01,t,Bivariate regression: single height-regime dummy Height_regime_6 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c6,10,6,16,Height_regime_6,storeys,A_structural,dummy,binary,0.19,,2.78,,**,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_6 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c6,10,6,16,Duration,time_on_market,G_market,level,days,0.0,,3.76,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_6 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c7,9,7,16,Height_regime_7,storeys,A_structural,dummy,binary,0.17,,2.19,,*,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.01,t,Bivariate regression: single height-regime dummy Height_regime_7 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c7,10,7,16,Height_regime_7,storeys,A_structural,dummy,binary,0.17,,2.21,,*,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_7 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c7,10,7,16,Duration,time_on_market,G_market,level,days,0.0,,4.23,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.03,t,Bivariate regression: single height-regime dummy Height_regime_7 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c8,9,8,16,Height_regime_8,storeys,A_structural,dummy,binary,0.06,,0.71,,,,,high,1 if building height regime is Ground Floor +7 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.0,t,Bivariate regression: single height-regime dummy Height_regime_8 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c8,10,8,16,Height_regime_8,storeys,A_structural,dummy,binary,0.07,,0.86,,,,,high,1 if building height regime is Ground Floor +7 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_8 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c8,10,8,16,Duration,time_on_market,G_market,level,days,0.0,,4.24,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_8 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c9,9,9,16,Height_regime_9,storeys,A_structural,dummy,binary,0.13,,3.38,,***,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.01,t,Bivariate regression: single height-regime dummy Height_regime_9 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c9,10,9,16,Height_regime_9,storeys,A_structural,dummy,binary,0.14,,3.63,,***,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.04,t,Bivariate regression: single height-regime dummy Height_regime_9 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c9,10,9,16,Duration,time_on_market,G_market,level,days,0.0,,4.42,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.04,t,Bivariate regression: single height-regime dummy Height_regime_9 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T9-c10,9,10,16,Height_regime_10,storeys,A_structural,dummy,binary,-0.05,,-0.66,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.0,t,Bivariate regression: single height-regime dummy Height_regime_10 (base = all other height regimes)
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c10,10,10,16,Height_regime_10,storeys,A_structural,dummy,binary,-0.03,,-0.48,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_10 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T10-c10,10,10,16,Duration,time_on_market,G_market,level,days,0.0,,4.19,,***,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,765.0,0.02,t,Bivariate regression: single height-regime dummy Height_regime_10 plus Duration control
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,No_rooms,bedrooms,A_structural,level,count,0.23,,9.19,,***,,,high,"Number of rooms (all rooms, not only bedrooms)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,No_rooms,bedrooms,A_structural,level,count,0.24,,9.95,,***,,,high,"Number of rooms (all rooms, not only bedrooms)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,Comfort,condition,A_structural,binary,binary,0.34,,5.79,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Comfort,condition,A_structural,binary,binary,0.31,,5.21,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,Comfort,condition,A_structural,binary,binary,0.26,,4.33,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,Comfort,condition,A_structural,binary,binary,0.14,,2.54,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Comfort,condition,A_structural,binary,binary,0.2,,3.32,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Comfort,condition,A_structural,binary,binary,0.12,,2.07,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,Comfort,condition,A_structural,binary,binary,0.26,,4.28,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,Comfort,condition,A_structural,binary,binary,0.15,,2.51,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Comfort,condition,A_structural,binary,binary,0.21,,3.26,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Comfort,condition,A_structural,binary,binary,0.12,,2.06,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,Floor,floor_level,A_structural,level,count,-0.01,,-2.03,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Floor,floor_level,A_structural,level,count,-0.01,,-1.49,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,Floor,floor_level,A_structural,level,count,-0.01,,-1.45,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,Floor,floor_level,A_structural,level,count,-0.01,,-2.66,,**,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Floor,floor_level,A_structural,level,count,-0.01,,-1.37,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Floor,floor_level,A_structural,level,count,-0.01,,-2.42,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,Floor,floor_level,A_structural,level,count,-0.01,,-1.2,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,Floor,floor_level,A_structural,level,count,-0.01,,-2.09,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Floor,floor_level,A_structural,level,count,-0.01,,-1.35,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Floor,floor_level,A_structural,level,count,-0.01,,-2.19,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,No_bathrooms,bathrooms,A_structural,level,count,0.09,,1.92,,†,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,No_bathrooms,bathrooms,A_structural,level,count,0.03,,0.7,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,No_bathrooms,bathrooms,A_structural,level,count,0.07,,1.52,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,No_bathrooms,bathrooms,A_structural,level,count,0.06,,1.41,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,No_bathrooms,bathrooms,A_structural,level,count,0.04,,0.9,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,No_bathrooms,bathrooms,A_structural,level,count,0.03,,0.8,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,No_bathrooms,bathrooms,A_structural,level,count,0.09,,1.8,,†,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,No_bathrooms,bathrooms,A_structural,level,count,0.08,,1.85,,†,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,No_bathrooms,bathrooms,A_structural,level,count,0.06,,1.14,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,No_bathrooms,bathrooms,A_structural,level,count,0.05,,1.19,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.03,,-0.71,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.04,,-0.89,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-1.12,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.6,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.06,,-1.41,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.03,,-0.82,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.08,,-1.81,,†,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-1.21,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.09,,-1.97,,†,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-1.3,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,No_parking,parking,A_structural,level,count,0.21,,3.05,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,No_parking,parking,A_structural,level,count,0.23,,3.15,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,No_parking,parking,A_structural,level,count,0.09,,1.35,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,No_parking,parking,A_structural,level,count,0.16,,2.53,,*,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,No_parking,parking,A_structural,level,count,0.13,,1.71,,†,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,No_parking,parking,A_structural,level,count,0.19,,2.83,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,No_parking,parking,A_structural,level,count,0.06,,0.82,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,No_parking,parking,A_structural,level,count,0.16,,2.43,,*,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,No_parking,parking,A_structural,level,count,0.09,,1.12,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,No_parking,parking,A_structural,level,count,0.16,,2.23,,*,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,Seniority_construction,age,A_structural,level,years,-0.0,,-3.76,,***,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Seniority_construction,age,A_structural,level,years,-0.01,,-4.57,,***,,,high,Years since construction (age),ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,Seniority_construction,age,A_structural,level,years,-0.0,,-0.43,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,Seniority_construction,age,A_structural,level,years,-0.0,,-1.2,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Seniority_construction,age,A_structural,level,years,-0.0,,-0.89,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Seniority_construction,age,A_structural,level,years,-0.0,,-1.83,,†,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,Seniority_construction,age,A_structural,level,years,-0.0,,-1.03,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,Seniority_construction,age,A_structural,level,years,-0.0,,-1.55,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Seniority_construction,age,A_structural,level,years,-0.0,,-1.34,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Seniority_construction,age,A_structural,level,years,-0.0,,-2.02,,*,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.27,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.76,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.12,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.99,,*,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.04,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.5,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.81,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.55,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.85,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.26,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c1,11,1,17,Structure,roof_materials,A_structural,binary,binary,0.07,,0.92,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration not included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Structure,roof_materials,A_structural,binary,binary,0.09,,1.09,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,Structure,roof_materials,A_structural,binary,binary,0.14,,1.9,,†,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,Structure,roof_materials,A_structural,binary,binary,0.04,,0.6,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Structure,roof_materials,A_structural,binary,binary,0.12,,1.51,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Structure,roof_materials,A_structural,binary,binary,0.04,,0.61,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,Structure,roof_materials,A_structural,binary,binary,0.24,,3.14,,**,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Structure,roof_materials,A_structural,binary,binary,0.2,,2.45,,*,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Structure,roof_materials,A_structural,binary,binary,0.14,,1.83,,†,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_1,storeys,A_structural,dummy,binary,0.05,,0.43,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_1,storeys,A_structural,dummy,binary,0.05,,0.39,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_1,storeys,A_structural,dummy,binary,0.09,,0.85,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_1,storeys,A_structural,dummy,binary,-0.0,,-0.04,,,,,medium,"1 if building height regime is Ground Floor +10 Floors ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_1,storeys,A_structural,dummy,binary,0.02,,0.21,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_2,storeys,A_structural,dummy,binary,0.02,,0.11,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_2,storeys,A_structural,dummy,binary,-0.02,,-0.14,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_2,storeys,A_structural,dummy,binary,0.05,,0.35,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_2,storeys,A_structural,dummy,binary,-0.04,,-0.24,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_2,storeys,A_structural,dummy,binary,0.01,,0.05,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_3,storeys,A_structural,dummy,binary,0.27,,1.86,,†,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_3,storeys,A_structural,dummy,binary,0.09,,0.65,,,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_3,storeys,A_structural,dummy,binary,0.22,,1.67,,†,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_3,storeys,A_structural,dummy,binary,-0.05,,-0.34,,,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_3,storeys,A_structural,dummy,binary,0.08,,0.54,,,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_4,storeys,A_structural,dummy,binary,0.03,,0.2,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_4,storeys,A_structural,dummy,binary,-0.01,,-0.07,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_4,storeys,A_structural,dummy,binary,0.04,,0.36,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_4,storeys,A_structural,dummy,binary,-0.09,,-0.61,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_4,storeys,A_structural,dummy,binary,-0.04,,-0.34,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_5,storeys,A_structural,dummy,binary,0.09,,0.69,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_5,storeys,A_structural,dummy,binary,0.09,,0.74,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_5,storeys,A_structural,dummy,binary,0.09,,0.81,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_5,storeys,A_structural,dummy,binary,0.04,,0.33,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_5,storeys,A_structural,dummy,binary,0.03,,0.25,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_6,storeys,A_structural,dummy,binary,0.12,,0.75,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_6,storeys,A_structural,dummy,binary,0.03,,0.18,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_6,storeys,A_structural,dummy,binary,0.08,,0.62,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_6,storeys,A_structural,dummy,binary,-0.0,,-0.02,,,,,medium,"1 if building height regime is Ground Floor +5 Floors ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_6,storeys,A_structural,dummy,binary,0.02,,0.17,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_7,storeys,A_structural,dummy,binary,0.24,,1.44,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_7,storeys,A_structural,dummy,binary,-0.09,,-0.56,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_7,storeys,A_structural,dummy,binary,0.11,,0.74,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_7,storeys,A_structural,dummy,binary,-0.1,,-0.58,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_7,storeys,A_structural,dummy,binary,0.03,,0.16,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_9,storeys,A_structural,dummy,binary,0.19,,1.59,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_9,storeys,A_structural,dummy,binary,0.18,,1.5,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_9,storeys,A_structural,dummy,binary,0.19,,1.76,,†,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_9,storeys,A_structural,dummy,binary,0.13,,1.06,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_9,storeys,A_structural,dummy,binary,0.13,,1.13,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c2,11,2,17,Height_regime_10,storeys,A_structural,dummy,binary,0.25,,1.82,,†,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,Height_regime_10,storeys,A_structural,dummy,binary,0.22,,1.6,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,Height_regime_10,storeys,A_structural,dummy,binary,0.27,,2.16,,*,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,Height_regime_10,storeys,A_structural,dummy,binary,0.16,,1.12,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,Height_regime_10,storeys,A_structural,dummy,binary,0.19,,1.45,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c3,11,3,17,S_useful,living_area,A_structural,level,m2,0.01,,9.63,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,S_useful,living_area,A_structural,level,m2,0.03,,9.82,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c5,11,5,17,S_useful,living_area,A_structural,level,m2,0.01,,10.24,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,S_useful,living_area,A_structural,level,m2,0.03,,9.54,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c4,11,4,17,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-6.58,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.75,t,Multivariate specification: useful surface + square; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c6,11,6,17,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-6.15,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c7,11,7,17,S_constructed,living_area,A_structural,level,m2,0.01,,8.86,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,S_constructed,living_area,A_structural,level,m2,0.03,,9.93,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c9,11,9,17,S_constructed,living_area,A_structural,level,m2,0.01,,9.37,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,S_constructed,living_area,A_structural,level,m2,0.02,,9.28,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c8,11,8,17,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-6.82,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,183.0,0.72,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T11-c10,11,10,17,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-5.77,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration not included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,No_rooms,bedrooms,A_structural,level,count,0.23,,9.05,,***,,,high,"Number of rooms (all rooms, not only bedrooms)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,No_rooms,bedrooms,A_structural,level,count,0.25,,9.7,,***,,,high,"Number of rooms (all rooms, not only bedrooms)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,Comfort,condition,A_structural,binary,binary,0.34,,5.81,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Comfort,condition,A_structural,binary,binary,0.31,,5.23,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,Comfort,condition,A_structural,binary,binary,0.26,,4.32,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,Comfort,condition,A_structural,binary,binary,0.14,,2.47,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Comfort,condition,A_structural,binary,binary,0.2,,3.3,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Comfort,condition,A_structural,binary,binary,0.12,,2.05,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,Comfort,condition,A_structural,binary,binary,0.26,,4.26,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,Comfort,condition,A_structural,binary,binary,0.14,,2.5,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Comfort,condition,A_structural,binary,binary,0.21,,3.25,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Comfort,condition,A_structural,binary,binary,0.12,,2.03,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,Floor,floor_level,A_structural,level,count,-0.01,,-2.01,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Floor,floor_level,A_structural,level,count,-0.01,,-1.47,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,Floor,floor_level,A_structural,level,count,-0.01,,-1.44,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,Floor,floor_level,A_structural,level,count,-0.01,,-2.64,,**,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Floor,floor_level,A_structural,level,count,-0.01,,-1.36,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Floor,floor_level,A_structural,level,count,-0.01,,-2.41,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,Floor,floor_level,A_structural,level,count,-0.01,,-1.2,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,Floor,floor_level,A_structural,level,count,-0.01,,-1.98,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Floor,floor_level,A_structural,level,count,-0.01,,-1.35,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Floor,floor_level,A_structural,level,count,-0.01,,-2.18,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,No_bathrooms,bathrooms,A_structural,level,count,0.08,,1.65,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,No_bathrooms,bathrooms,A_structural,level,count,0.03,,0.55,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,No_bathrooms,bathrooms,A_structural,level,count,0.07,,1.48,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,No_bathrooms,bathrooms,A_structural,level,count,0.05,,1.14,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,No_bathrooms,bathrooms,A_structural,level,count,0.04,,0.9,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,No_bathrooms,bathrooms,A_structural,level,count,0.03,,0.64,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,No_bathrooms,bathrooms,A_structural,level,count,0.09,,1.79,,†,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,No_bathrooms,bathrooms,A_structural,level,count,0.07,,1.59,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,No_bathrooms,bathrooms,A_structural,level,count,0.06,,1.15,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,No_bathrooms,bathrooms,A_structural,level,count,0.05,,1.04,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.04,,-0.82,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.04,,-0.97,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-1.12,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.03,,-0.73,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.06,,-1.39,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.04,,-0.92,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.08,,-1.78,,†,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.06,,-1.38,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.09,,-1.92,,†,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,No_balconies,terrace_balcony,C_exterior,level,count,-0.06,,-1.4,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,No_parking,parking,A_structural,level,count,0.21,,3.11,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,No_parking,parking,A_structural,level,count,0.23,,3.19,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,No_parking,parking,A_structural,level,count,0.09,,1.35,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,No_parking,parking,A_structural,level,count,0.16,,2.63,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,No_parking,parking,A_structural,level,count,0.13,,1.69,,†,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,No_parking,parking,A_structural,level,count,0.2,,2.92,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,No_parking,parking,A_structural,level,count,0.06,,0.81,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,No_parking,parking,A_structural,level,count,0.16,,2.52,,*,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,No_parking,parking,A_structural,level,count,0.09,,1.1,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,No_parking,parking,A_structural,level,count,0.17,,2.3,,*,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,Seniority_construction,age,A_structural,level,years,-0.0,,-3.87,,***,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Seniority_construction,age,A_structural,level,years,-0.01,,-4.61,,***,,,high,Years since construction (age),ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,Seniority_construction,age,A_structural,level,years,-0.0,,-0.43,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,Seniority_construction,age,A_structural,level,years,-0.0,,-1.37,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Seniority_construction,age,A_structural,level,years,-0.0,,-0.88,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Seniority_construction,age,A_structural,level,years,-0.0,,-1.91,,†,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,Seniority_construction,age,A_structural,level,years,-0.0,,-1.01,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,Seniority_construction,age,A_structural,level,years,-0.0,,-1.73,,†,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Seniority_construction,age,A_structural,level,years,-0.0,,-1.32,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Seniority_construction,age,A_structural,level,years,-0.0,,-2.09,,*,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.18,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.7,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.1,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.89,,†,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.03,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.43,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.81,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.4,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.86,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.19,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,Structure,roof_materials,A_structural,binary,binary,0.06,,0.72,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Structure,roof_materials,A_structural,binary,binary,0.08,,0.91,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,Structure,roof_materials,A_structural,binary,binary,0.14,,1.85,,†,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,Structure,roof_materials,A_structural,binary,binary,0.02,,0.32,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Structure,roof_materials,A_structural,binary,binary,0.12,,1.48,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Structure,roof_materials,A_structural,binary,binary,0.03,,0.34,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,Structure,roof_materials,A_structural,binary,binary,0.25,,3.11,,**,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Structure,roof_materials,A_structural,binary,binary,0.21,,2.44,,*,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Structure,roof_materials,A_structural,binary,binary,0.12,,1.57,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c1,12,1,18,Duration,time_on_market,G_market,level,days,-0.0,,-0.93,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.68,t,"Multivariate specification: rooms, no surface, no height regimes; complete-case subsample; Duration control included"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Duration,time_on_market,G_market,level,days,-0.0,,-0.69,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,Duration,time_on_market,G_market,level,days,-0.0,,-0.11,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,Duration,time_on_market,G_market,level,days,-0.0,,-1.37,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Duration,time_on_market,G_market,level,days,0.0,,0.05,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Duration,time_on_market,G_market,level,days,-0.0,,-1.08,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,Duration,time_on_market,G_market,level,days,0.0,,0.09,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,Duration,time_on_market,G_market,level,days,-0.0,,-1.73,,†,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Duration,time_on_market,G_market,level,days,0.0,,0.19,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Duration,time_on_market,G_market,level,days,-0.0,,-0.97,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_1,storeys,A_structural,dummy,binary,0.06,,0.51,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_1,storeys,A_structural,dummy,binary,0.05,,0.38,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_1,storeys,A_structural,dummy,binary,0.11,,1.0,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_1,storeys,A_structural,dummy,binary,-0.01,,-0.06,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_1,storeys,A_structural,dummy,binary,0.04,,0.34,,,,,high,1 if building height regime is Ground Floor +10 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_2,storeys,A_structural,dummy,binary,0.03,,0.18,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_2,storeys,A_structural,dummy,binary,-0.02,,-0.15,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_2,storeys,A_structural,dummy,binary,0.06,,0.47,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_2,storeys,A_structural,dummy,binary,-0.04,,-0.26,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_2,storeys,A_structural,dummy,binary,0.02,,0.15,,,,,high,1 if building height regime is Ground Floor +11 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_3,storeys,A_structural,dummy,binary,0.27,,1.89,,†,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_3,storeys,A_structural,dummy,binary,0.09,,0.65,,,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_3,storeys,A_structural,dummy,binary,0.22,,1.72,,†,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_3,storeys,A_structural,dummy,binary,-0.05,,-0.34,,,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_3,storeys,A_structural,dummy,binary,0.08,,0.56,,,,,high,1 if building height regime is Ground Floor +2 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_4,storeys,A_structural,dummy,binary,0.04,,0.28,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_4,storeys,A_structural,dummy,binary,-0.01,,-0.08,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_4,storeys,A_structural,dummy,binary,0.06,,0.49,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_4,storeys,A_structural,dummy,binary,-0.09,,-0.62,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_4,storeys,A_structural,dummy,binary,-0.03,,-0.23,,,,,high,1 if building height regime is Ground Floor +3 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_5,storeys,A_structural,dummy,binary,0.1,,0.78,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_5,storeys,A_structural,dummy,binary,0.09,,0.72,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_5,storeys,A_structural,dummy,binary,0.11,,0.95,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_5,storeys,A_structural,dummy,binary,0.04,,0.3,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_5,storeys,A_structural,dummy,binary,0.04,,0.37,,,,,high,1 if building height regime is Ground Floor +4 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_6,storeys,A_structural,dummy,binary,0.12,,0.78,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_6,storeys,A_structural,dummy,binary,0.03,,0.18,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_6,storeys,A_structural,dummy,binary,0.09,,0.67,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_6,storeys,A_structural,dummy,binary,-0.0,,-0.02,,,,,medium,"1 if building height regime is Ground Floor +5 Floors ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_6,storeys,A_structural,dummy,binary,0.03,,0.2,,,,,high,1 if building height regime is Ground Floor +5 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_7,storeys,A_structural,dummy,binary,0.25,,1.52,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_7,storeys,A_structural,dummy,binary,-0.09,,-0.56,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_7,storeys,A_structural,dummy,binary,0.13,,0.87,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_7,storeys,A_structural,dummy,binary,-0.1,,-0.59,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_7,storeys,A_structural,dummy,binary,0.04,,0.27,,,,,high,1 if building height regime is Ground Floor +6 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_9,storeys,A_structural,dummy,binary,0.2,,1.65,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_9,storeys,A_structural,dummy,binary,0.18,,1.48,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_9,storeys,A_structural,dummy,binary,0.2,,1.87,,†,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_9,storeys,A_structural,dummy,binary,0.13,,1.03,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_9,storeys,A_structural,dummy,binary,0.14,,1.22,,,,,high,1 if building height regime is Ground Floor +8 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c2,12,2,18,Height_regime_10,storeys,A_structural,dummy,binary,0.26,,1.86,,†,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.72,t,Multivariate specification: rooms + height-regime dummies (base GF+7); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,Height_regime_10,storeys,A_structural,dummy,binary,0.22,,1.59,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,Height_regime_10,storeys,A_structural,dummy,binary,0.28,,2.25,,*,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,Height_regime_10,storeys,A_structural,dummy,binary,0.16,,1.1,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,Height_regime_10,storeys,A_structural,dummy,binary,0.2,,1.52,,,,,high,1 if building height regime is Ground Floor +9 Floors,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c3,12,3,18,S_useful,living_area,A_structural,level,m2,0.01,,9.42,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.69,t,Multivariate specification: useful surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,S_useful,living_area,A_structural,level,m2,0.03,,9.89,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c5,12,5,18,S_useful,living_area,A_structural,level,m2,0.01,,9.96,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.73,t,Multivariate specification: useful surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,S_useful,living_area,A_structural,level,m2,0.03,,9.53,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c4,12,4,18,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-6.74,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: useful surface + square; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c6,12,6,18,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-6.25,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.78,t,Multivariate specification: useful surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c7,12,7,18,S_constructed,living_area,A_structural,level,m2,0.01,,8.65,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.67,t,Multivariate specification: constructed surface (linear); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,S_constructed,living_area,A_structural,level,m2,0.03,,10.13,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c9,12,9,18,S_constructed,living_area,A_structural,level,m2,0.01,,9.09,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.71,t,Multivariate specification: constructed surface + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,S_constructed,living_area,A_structural,level,m2,0.03,,9.2,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c8,12,8,18,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-7.03,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,183.0,0.73,t,Multivariate specification: constructed surface + square (Structure omitted); complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T12-c10,12,10,18,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-5.84,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,OLS,173.0,0.76,t,Multivariate specification: constructed surface + square + height-regime dummies; complete-case subsample; Duration control included
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,S_useful,living_area,A_structural,level,m2,0.01,,6.85,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,S_useful,living_area,A_structural,level,m2,0.01,,6.34,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,S_useful,living_area,A_structural,level,m2,0.01,,9.78,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,S_useful,living_area,A_structural,level,m2,0.01,,14.08,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,S_useful,living_area,A_structural,level,m2,0.01,,14.41,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,S_useful,living_area,A_structural,level,m2,0.01,,9.2,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,S_useful,living_area,A_structural,level,m2,0.01,,6.82,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,S_useful,living_area,A_structural,level,m2,0.01,,6.47,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,S_useful,living_area,A_structural,level,m2,0.01,,5.62,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,Comfort,condition,A_structural,binary,binary,0.14,,1.51,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,Comfort,condition,A_structural,binary,binary,0.12,,1.26,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,Comfort,condition,A_structural,binary,binary,0.18,,2.73,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,Comfort,condition,A_structural,binary,binary,0.18,,3.91,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,Comfort,condition,A_structural,binary,binary,0.2,,4.09,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,Comfort,condition,A_structural,binary,binary,0.24,,3.86,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,Comfort,condition,A_structural,binary,binary,0.26,,3.25,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,Comfort,condition,A_structural,binary,binary,0.29,,2.91,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,Comfort,condition,A_structural,binary,binary,0.3,,2.57,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,Floor,floor_level,A_structural,level,count,0.0,,0.3,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,Floor,floor_level,A_structural,level,count,-0.0,,-0.42,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,Floor,floor_level,A_structural,level,count,-0.01,,-0.95,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,Floor,floor_level,A_structural,level,count,-0.0,,-0.65,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,Floor,floor_level,A_structural,level,count,-0.01,,-1.3,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,Floor,floor_level,A_structural,level,count,-0.0,,-0.55,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,Floor,floor_level,A_structural,level,count,-0.01,,-1.04,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,Floor,floor_level,A_structural,level,count,-0.01,,-1.52,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,Floor,floor_level,A_structural,level,count,-0.02,,-1.6,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,No_bathrooms,bathrooms,A_structural,level,count,0.03,,0.35,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,No_bathrooms,bathrooms,A_structural,level,count,0.1,,1.25,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,No_bathrooms,bathrooms,A_structural,level,count,0.07,,1.31,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,No_bathrooms,bathrooms,A_structural,level,count,0.07,,2.07,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,No_bathrooms,bathrooms,A_structural,level,count,0.05,,1.3,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,No_bathrooms,bathrooms,A_structural,level,count,0.12,,2.32,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,No_bathrooms,bathrooms,A_structural,level,count,0.13,,2.1,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,No_bathrooms,bathrooms,A_structural,level,count,0.07,,0.96,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,No_bathrooms,bathrooms,A_structural,level,count,0.07,,0.72,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,No_balconies,terrace_balcony,C_exterior,level,count,0.01,,0.11,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,No_balconies,terrace_balcony,C_exterior,level,count,0.0,,0.05,,,,,medium,"Number of balconies ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,No_balconies,terrace_balcony,C_exterior,level,count,0.01,,0.12,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.69,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.59,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,No_balconies,terrace_balcony,C_exterior,level,count,-0.04,,-0.95,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-0.92,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,No_balconies,terrace_balcony,C_exterior,level,count,-0.06,,-0.88,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.23,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,No_parking,parking,A_structural,level,count,-0.07,,-0.59,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,No_parking,parking,A_structural,level,count,0.06,,0.5,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,No_parking,parking,A_structural,level,count,0.04,,0.53,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,No_parking,parking,A_structural,level,count,0.03,,0.65,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,No_parking,parking,A_structural,level,count,0.02,,0.27,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,No_parking,parking,A_structural,level,count,0.1,,1.37,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,No_parking,parking,A_structural,level,count,0.09,,0.92,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,No_parking,parking,A_structural,level,count,0.06,,0.51,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,No_parking,parking,A_structural,level,count,0.1,,0.76,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,Seniority_construction,age,A_structural,level,years,0.0,,0.13,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,Seniority_construction,age,A_structural,level,years,-0.0,,-0.45,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,Seniority_construction,age,A_structural,level,years,0.0,,0.02,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,Seniority_construction,age,A_structural,level,years,-0.0,,-0.46,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,Seniority_construction,age,A_structural,level,years,-0.0,,-0.44,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,Seniority_construction,age,A_structural,level,years,0.0,,0.16,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,Seniority_construction,age,A_structural,level,years,-0.0,,-0.37,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,Seniority_construction,age,A_structural,level,years,0.0,,0.53,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,Seniority_construction,age,A_structural,level,years,-0.0,,-0.11,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.96,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.27,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.98,,*,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,Seniority_renovation,renovation,A_structural,level,years,-0.01,,-3.34,,**,,,high,Years since renovation,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-2.44,,*,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.91,,†,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.0,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.05,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,Seniority_renovation,renovation,A_structural,level,years,0.0,,0.13,,,,,medium,"Years since renovation ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,Structure,roof_materials,A_structural,binary,binary,0.87,,7.22,,***,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,Structure,roof_materials,A_structural,binary,binary,-0.02,,-0.16,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,Structure,roof_materials,A_structural,binary,binary,0.06,,0.76,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,Structure,roof_materials,A_structural,binary,binary,0.04,,0.74,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,Structure,roof_materials,A_structural,binary,binary,0.07,,1.12,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,Structure,roof_materials,A_structural,binary,binary,0.14,,1.78,,†,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,Structure,roof_materials,A_structural,binary,binary,0.08,,0.82,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,Structure,roof_materials,A_structural,binary,binary,-0.09,,-0.75,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,Structure,roof_materials,A_structural,binary,binary,-0.02,,-0.16,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c1,13,1,19,Duration,time_on_market,G_market,level,days,-0.0,,-1.05,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4887"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c2,13,2,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.34,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5165"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c3,13,3,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.02,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.527"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c4,13,4,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.24,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5213"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c5,13,5,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.86,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5132"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c6,13,6,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.06,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.5084"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c7,13,7,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.13,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4991"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c8,13,8,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.62,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4787"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T13-c9,13,9,19,Duration,time_on_market,G_market,level,days,-0.0,,-0.61,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface (linear), Duration control, no height regimes; pseudo-R2 = 0.4593"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,S_useful,living_area,A_structural,level,m2,0.03,,5.56,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,S_useful,living_area,A_structural,level,m2,0.03,,9.94,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,S_useful,living_area,A_structural,level,m2,0.03,,10.65,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,S_useful,living_area,A_structural,level,m2,0.03,,10.89,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,S_useful,living_area,A_structural,level,m2,0.03,,8.98,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,S_useful,living_area,A_structural,level,m2,0.03,,8.31,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,S_useful,living_area,A_structural,level,m2,0.03,,6.46,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,S_useful,living_area,A_structural,level,m2,0.04,,6.84,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,S_useful,living_area,A_structural,level,m2,0.04,,7.5,,***,,,high,Useful (interior usable) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-3.73,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-6.99,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-7.35,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-7.54,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-6.15,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-5.83,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-4.57,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-4.92,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,S_useful_sq,living_area,A_structural,squared,m2,-0.0,,-5.69,,***,,,medium,"Square of useful surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,Comfort,condition,A_structural,binary,binary,0.11,,1.14,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,Comfort,condition,A_structural,binary,binary,0.1,,1.82,,†,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,Comfort,condition,A_structural,binary,binary,0.11,,2.15,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,Comfort,condition,A_structural,binary,binary,0.1,,1.98,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,Comfort,condition,A_structural,binary,binary,0.13,,2.27,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,Comfort,condition,A_structural,binary,binary,0.16,,2.46,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,Comfort,condition,A_structural,binary,binary,0.18,,2.15,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,Comfort,condition,A_structural,binary,binary,0.16,,1.65,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,Comfort,condition,A_structural,binary,binary,0.03,,0.24,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,Floor,floor_level,A_structural,level,count,-0.01,,-1.24,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,Floor,floor_level,A_structural,level,count,-0.01,,-2.02,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,Floor,floor_level,A_structural,level,count,-0.01,,-2.73,,**,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,Floor,floor_level,A_structural,level,count,-0.01,,-1.5,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,Floor,floor_level,A_structural,level,count,-0.0,,-0.15,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,Floor,floor_level,A_structural,level,count,-0.0,,-0.68,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,Floor,floor_level,A_structural,level,count,-0.01,,-1.37,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,Floor,floor_level,A_structural,level,count,-0.02,,-1.88,,†,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,Floor,floor_level,A_structural,level,count,-0.03,,-3.32,,**,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,No_bathrooms,bathrooms,A_structural,level,count,0.08,,1.17,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,No_bathrooms,bathrooms,A_structural,level,count,0.08,,2.09,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,No_bathrooms,bathrooms,A_structural,level,count,0.08,,2.19,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,No_bathrooms,bathrooms,A_structural,level,count,0.08,,2.13,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,No_bathrooms,bathrooms,A_structural,level,count,0.1,,2.38,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,No_bathrooms,bathrooms,A_structural,level,count,0.12,,2.47,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,No_bathrooms,bathrooms,A_structural,level,count,0.11,,1.75,,†,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,No_bathrooms,bathrooms,A_structural,level,count,0.03,,0.48,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,No_bathrooms,bathrooms,A_structural,level,count,0.04,,0.47,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-0.86,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.0,,-0.02,,,,,medium,"Number of balconies ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.54,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.01,,-0.2,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.01,,-0.37,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.56,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.03,,-0.45,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-0.72,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.3,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,No_parking,parking,A_structural,level,count,0.11,,1.05,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,No_parking,parking,A_structural,level,count,0.23,,3.9,,***,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,No_parking,parking,A_structural,level,count,0.18,,3.38,,***,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,No_parking,parking,A_structural,level,count,0.25,,4.65,,***,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,No_parking,parking,A_structural,level,count,0.23,,3.59,,***,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,No_parking,parking,A_structural,level,count,0.22,,3.01,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,No_parking,parking,A_structural,level,count,0.29,,3.2,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,No_parking,parking,A_structural,level,count,0.27,,2.56,,*,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,No_parking,parking,A_structural,level,count,0.12,,1.0,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,Seniority_construction,age,A_structural,level,years,-0.0,,-1.0,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,Seniority_construction,age,A_structural,level,years,-0.0,,-1.87,,†,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,Seniority_construction,age,A_structural,level,years,-0.0,,-1.74,,†,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,Seniority_construction,age,A_structural,level,years,-0.0,,-1.73,,†,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,Seniority_construction,age,A_structural,level,years,-0.0,,-0.6,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,Seniority_construction,age,A_structural,level,years,-0.0,,-0.19,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,Seniority_construction,age,A_structural,level,years,0.0,,0.43,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,Seniority_construction,age,A_structural,level,years,0.0,,1.29,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,Seniority_construction,age,A_structural,level,years,0.0,,0.26,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,Seniority_renovation,renovation,A_structural,level,years,-0.01,,-1.83,,†,,,high,Years since renovation,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,Seniority_renovation,renovation,A_structural,level,years,-0.01,,-2.97,,**,,,high,Years since renovation,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,Seniority_renovation,renovation,A_structural,level,years,-0.01,,-3.05,,**,,,high,Years since renovation,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-2.93,,**,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-2.25,,*,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.66,,†,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.94,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.36,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.84,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,Structure,roof_materials,A_structural,binary,binary,-0.04,,-0.33,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,Structure,roof_materials,A_structural,binary,binary,-0.01,,-0.21,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,Structure,roof_materials,A_structural,binary,binary,0.02,,0.29,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,Structure,roof_materials,A_structural,binary,binary,0.04,,0.6,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,Structure,roof_materials,A_structural,binary,binary,0.09,,1.19,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,Structure,roof_materials,A_structural,binary,binary,0.06,,0.81,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,Structure,roof_materials,A_structural,binary,binary,0.06,,0.58,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,Structure,roof_materials,A_structural,binary,binary,-0.1,,-0.86,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,Structure,roof_materials,A_structural,binary,binary,-0.07,,-0.55,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c1,14,1,20,Duration,time_on_market,G_market,level,days,-0.0,,-1.46,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c2,14,2,20,Duration,time_on_market,G_market,level,days,-0.0,,-0.94,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.6082"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c3,14,3,20,Duration,time_on_market,G_market,level,days,-0.0,,-0.82,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5934"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c4,14,4,20,Duration,time_on_market,G_market,level,days,-0.0,,-0.7,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.571"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c5,14,5,20,Duration,time_on_market,G_market,level,days,-0.0,,-0.09,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5546"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c6,14,6,20,Duration,time_on_market,G_market,level,days,-0.0,,-0.59,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5453"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c7,14,7,20,Duration,time_on_market,G_market,level,days,-0.0,,-0.87,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5363"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c8,14,8,20,Duration,time_on_market,G_market,level,days,-0.0,,-1.39,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5186"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T14-c9,14,9,20,Duration,time_on_market,G_market,level,days,-0.0,,-1.73,,†,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with useful surface + square, Duration control; pseudo-R2 = 0.5181"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,S_constructed,living_area,A_structural,level,m2,0.01,,6.74,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,S_constructed,living_area,A_structural,level,m2,0.01,,6.59,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,S_constructed,living_area,A_structural,level,m2,0.01,,8.25,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,S_constructed,living_area,A_structural,level,m2,0.01,,9.41,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,S_constructed,living_area,A_structural,level,m2,0.01,,9.9,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,S_constructed,living_area,A_structural,level,m2,0.01,,8.45,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,S_constructed,living_area,A_structural,level,m2,0.01,,7.48,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,S_constructed,living_area,A_structural,level,m2,0.01,,6.12,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,S_constructed,living_area,A_structural,level,m2,0.01,,3.84,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,Comfort,condition,A_structural,binary,binary,0.14,,1.42,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,Comfort,condition,A_structural,binary,binary,0.16,,1.81,,†,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,Comfort,condition,A_structural,binary,binary,0.2,,2.8,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,Comfort,condition,A_structural,binary,binary,0.2,,3.21,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,Comfort,condition,A_structural,binary,binary,0.21,,3.25,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,Comfort,condition,A_structural,binary,binary,0.25,,3.65,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,Comfort,condition,A_structural,binary,binary,0.25,,3.38,,***,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,Comfort,condition,A_structural,binary,binary,0.3,,3.23,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,Comfort,condition,A_structural,binary,binary,0.31,,2.08,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,Floor,floor_level,A_structural,level,count,0.0,,0.06,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,Floor,floor_level,A_structural,level,count,-0.0,,-0.42,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,Floor,floor_level,A_structural,level,count,-0.01,,-1.41,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,Floor,floor_level,A_structural,level,count,-0.0,,-0.28,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,Floor,floor_level,A_structural,level,count,-0.0,,-0.18,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,Floor,floor_level,A_structural,level,count,-0.0,,-0.62,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,Floor,floor_level,A_structural,level,count,-0.01,,-1.08,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,Floor,floor_level,A_structural,level,count,-0.01,,-1.4,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,Floor,floor_level,A_structural,level,count,-0.02,,-1.24,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,No_bathrooms,bathrooms,A_structural,level,count,0.02,,0.23,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,No_bathrooms,bathrooms,A_structural,level,count,0.05,,0.79,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,No_bathrooms,bathrooms,A_structural,level,count,0.1,,1.78,,†,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,No_bathrooms,bathrooms,A_structural,level,count,0.06,,1.33,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,No_bathrooms,bathrooms,A_structural,level,count,0.06,,1.12,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,No_bathrooms,bathrooms,A_structural,level,count,0.12,,2.25,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,No_bathrooms,bathrooms,A_structural,level,count,0.17,,2.84,,**,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,No_bathrooms,bathrooms,A_structural,level,count,0.11,,1.44,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,No_bathrooms,bathrooms,A_structural,level,count,0.11,,0.92,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.12,,-1.67,,†,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.37,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.06,,-1.08,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.07,,-1.44,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.1,,-2.1,,*,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.08,,-1.67,,†,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.07,,-1.29,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.03,,-0.39,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.01,,-0.08,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,No_parking,parking,A_structural,level,count,-0.26,,-2.14,,*,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,No_parking,parking,A_structural,level,count,-0.01,,-0.12,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,No_parking,parking,A_structural,level,count,-0.09,,-1.11,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,No_parking,parking,A_structural,level,count,0.03,,0.38,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,No_parking,parking,A_structural,level,count,0.13,,1.76,,†,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,No_parking,parking,A_structural,level,count,0.07,,0.9,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,No_parking,parking,A_structural,level,count,0.04,,0.43,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,No_parking,parking,A_structural,level,count,0.05,,0.42,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,No_parking,parking,A_structural,level,count,0.06,,0.34,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,Seniority_construction,age,A_structural,level,years,0.0,,0.12,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,Seniority_construction,age,A_structural,level,years,-0.0,,-0.15,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,Seniority_construction,age,A_structural,level,years,-0.0,,-0.34,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,Seniority_construction,age,A_structural,level,years,-0.0,,-1.0,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,Seniority_construction,age,A_structural,level,years,-0.0,,-1.36,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,Seniority_construction,age,A_structural,level,years,-0.0,,-0.59,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,Seniority_construction,age,A_structural,level,years,-0.0,,-0.71,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,Seniority_construction,age,A_structural,level,years,-0.0,,-0.31,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,Seniority_construction,age,A_structural,level,years,-0.0,,-0.01,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,Seniority_renovation,renovation,A_structural,level,years,-0.01,,-1.42,,,,,high,Years since renovation,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.31,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.2,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.21,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.89,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.04,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.04,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.3,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,Seniority_renovation,renovation,A_structural,level,years,0.0,,0.53,,,,,medium,"Years since renovation ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,Structure,roof_materials,A_structural,binary,binary,0.84,,6.52,,***,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,Structure,roof_materials,A_structural,binary,binary,0.46,,4.17,,***,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,Structure,roof_materials,A_structural,binary,binary,0.25,,2.79,,**,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,Structure,roof_materials,A_structural,binary,binary,0.25,,3.17,,**,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,Structure,roof_materials,A_structural,binary,binary,0.27,,3.3,,**,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,Structure,roof_materials,A_structural,binary,binary,0.13,,1.52,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,Structure,roof_materials,A_structural,binary,binary,0.09,,0.99,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,Structure,roof_materials,A_structural,binary,binary,0.05,,0.43,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,Structure,roof_materials,A_structural,binary,binary,0.07,,0.37,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c1,15,1,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.37,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4729"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c2,15,2,21,Duration,time_on_market,G_market,level,days,0.0,,0.75,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4941"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c3,15,3,21,Duration,time_on_market,G_market,level,days,0.0,,0.31,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.496"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c4,15,4,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.12,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4844"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c5,15,5,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.44,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4753"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c6,15,6,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.07,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4788"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c7,15,7,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.06,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4792"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c8,15,8,21,Duration,time_on_market,G_market,level,days,0.0,,0.29,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4667"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T15-c9,15,9,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.1,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface (linear), Duration control; pseudo-R2 = 0.4491"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,S_constructed,living_area,A_structural,level,m2,0.03,,7.03,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,S_constructed,living_area,A_structural,level,m2,0.02,,8.59,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,S_constructed,living_area,A_structural,level,m2,0.02,,7.78,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,S_constructed,living_area,A_structural,level,m2,0.02,,8.25,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,S_constructed,living_area,A_structural,level,m2,0.03,,7.54,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,S_constructed,living_area,A_structural,level,m2,0.03,,8.96,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,S_constructed,living_area,A_structural,level,m2,0.02,,6.11,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,S_constructed,living_area,A_structural,level,m2,0.03,,7.48,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,S_constructed,living_area,A_structural,level,m2,0.03,,6.27,,***,,,high,Constructed (gross built) surface in square metres,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-4.7,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-5.31,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-4.66,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-5.28,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-5.13,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-6.43,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-4.49,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-5.3,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,S_constructed_sq,living_area,A_structural,squared,m2,-0.0,,-4.63,,***,,,medium,"Square of constructed surface (m2^2); printed coefficient rounded to -0.00 ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,Comfort,condition,A_structural,binary,binary,0.04,,0.47,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,Comfort,condition,A_structural,binary,binary,0.09,,1.59,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,Comfort,condition,A_structural,binary,binary,0.14,,2.31,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,Comfort,condition,A_structural,binary,binary,0.14,,2.45,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,Comfort,condition,A_structural,binary,binary,0.15,,2.04,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,Comfort,condition,A_structural,binary,binary,0.17,,2.78,,**,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,Comfort,condition,A_structural,binary,binary,0.21,,2.42,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,Comfort,condition,A_structural,binary,binary,0.19,,2.19,,*,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,Comfort,condition,A_structural,binary,binary,0.13,,1.08,,,,,high,"Romanian apartment comfort class: 1 = Comfort 1 (higher standard), 0 = Comfort 2",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,Floor,floor_level,A_structural,level,count,-0.0,,-0.34,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,Floor,floor_level,A_structural,level,count,-0.01,,-1.72,,†,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,Floor,floor_level,A_structural,level,count,-0.01,,-2.09,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,Floor,floor_level,A_structural,level,count,-0.01,,-1.12,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,Floor,floor_level,A_structural,level,count,0.0,,0.1,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,Floor,floor_level,A_structural,level,count,-0.0,,-0.58,,,,,medium,"Floor level of the apartment (0 = ground, up to 10) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,Floor,floor_level,A_structural,level,count,-0.01,,-1.45,,,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,Floor,floor_level,A_structural,level,count,-0.02,,-2.18,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,Floor,floor_level,A_structural,level,count,-0.02,,-2.32,,*,,,high,"Floor level of the apartment (0 = ground, up to 10)",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,No_bathrooms,bathrooms,A_structural,level,count,0.07,,1.13,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,No_bathrooms,bathrooms,A_structural,level,count,0.1,,2.45,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,No_bathrooms,bathrooms,A_structural,level,count,0.09,,1.97,,†,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,No_bathrooms,bathrooms,A_structural,level,count,0.1,,2.21,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,No_bathrooms,bathrooms,A_structural,level,count,0.13,,2.37,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,No_bathrooms,bathrooms,A_structural,level,count,0.15,,3.27,,**,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,No_bathrooms,bathrooms,A_structural,level,count,0.14,,2.09,,*,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,No_bathrooms,bathrooms,A_structural,level,count,0.07,,1.08,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,No_bathrooms,bathrooms,A_structural,level,count,0.11,,1.2,,,,,high,Number of bathrooms,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.12,,-2.09,,*,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.03,,-0.86,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.05,,-1.22,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.03,,-0.71,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.08,,-1.6,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.02,,-0.55,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.01,,-0.09,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.04,,-0.69,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,No_balconies,terrace_balcony,C_exterior,level,count,-0.06,,-0.68,,,,,high,Number of balconies,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,No_parking,parking,A_structural,level,count,0.15,,1.58,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,No_parking,parking,A_structural,level,count,0.1,,1.49,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,No_parking,parking,A_structural,level,count,0.06,,0.84,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,No_parking,parking,A_structural,level,count,0.23,,3.48,,***,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,No_parking,parking,A_structural,level,count,0.22,,2.73,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,No_parking,parking,A_structural,level,count,0.21,,2.99,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,No_parking,parking,A_structural,level,count,0.26,,2.68,,**,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,No_parking,parking,A_structural,level,count,0.17,,1.73,,†,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,No_parking,parking,A_structural,level,count,0.06,,0.42,,,,,high,Number of parking spaces related to the apartment,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,Seniority_construction,age,A_structural,level,years,-0.0,,-2.06,,*,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,Seniority_construction,age,A_structural,level,years,-0.0,,-1.15,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,Seniority_construction,age,A_structural,level,years,-0.0,,-1.13,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,Seniority_construction,age,A_structural,level,years,-0.0,,-1.14,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,Seniority_construction,age,A_structural,level,years,-0.0,,-1.59,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,Seniority_construction,age,A_structural,level,years,-0.0,,-0.6,,,,,medium,"Years since construction (age) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,Seniority_construction,age,A_structural,level,years,0.0,,0.03,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,Seniority_construction,age,A_structural,level,years,0.0,,1.58,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,Seniority_construction,age,A_structural,level,years,0.0,,0.6,,,,,medium,"Years since construction (age) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.75,,†,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.96,,†,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.72,,†,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-2.35,,*,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.19,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-1.58,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.99,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,Seniority_renovation,renovation,A_structural,level,years,-0.01,,-1.78,,†,,,high,Years since renovation,ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,Seniority_renovation,renovation,A_structural,level,years,-0.0,,-0.91,,,,,medium,"Years since renovation ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,Structure,roof_materials,A_structural,binary,binary,0.11,,1.1,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,Structure,roof_materials,A_structural,binary,binary,0.21,,2.92,,**,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,Structure,roof_materials,A_structural,binary,binary,0.23,,3.17,,**,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,Structure,roof_materials,A_structural,binary,binary,0.17,,2.44,,*,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,Structure,roof_materials,A_structural,binary,binary,0.05,,0.56,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,Structure,roof_materials,A_structural,binary,binary,0.06,,0.83,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,Structure,roof_materials,A_structural,binary,binary,0.04,,0.37,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,Structure,roof_materials,A_structural,binary,binary,0.03,,0.31,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,Structure,roof_materials,A_structural,binary,binary,0.04,,0.24,,,,,high,"1 = concrete structure, 0 = brick",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c1,16,1,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.68,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.1; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5574"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c2,16,2,21,Duration,time_on_market,G_market,level,days,0.0,,0.27,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.2; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5769"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c3,16,3,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.01,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.3; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5539"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c4,16,4,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.86,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.4; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5284"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c5,16,5,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.73,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.5; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5185"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c6,16,6,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.52,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.6; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5133"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c7,16,7,21,Duration,time_on_market,G_market,level,days,0.0,,0.02,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as 0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.7; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5152"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c8,16,8,21,Duration,time_on_market,G_market,level,days,-0.0,,-1.29,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.8; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5028"
2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819,2799534456858542797f23b6cf17bd1f12439819:T16-c9,16,9,21,Duration,time_on_market,G_market,level,days,-0.0,,-0.96,,,,,medium,"Duration until completion of the transaction, in days (control variable) ; coefficient printed as -0.00 (rounded to two decimals), magnitude not recoverable - use t-statistic",ln(Price): log sale price of the apartment,log,quantile,173.0,,t,"Quantile regression at tau = 0.9; all structural attributes with constructed surface + square, Duration control; pseudo-R2 = 0.5006"
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnLANDSIZE,lot_size,A_structural,log,m2,0.553,,7.84,,***,,,medium,"Plot area; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c2,4,Fit Model,9,LnLANDSIZE,lot_size,A_structural,log,m2,0.528,,7.658,,***,,,medium,"Plot area; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.763,t,Insignificant variables dropped
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnBUILDSIZE,living_area,A_structural,log,m2,0.113,,1.38,,,,,medium,"Building area; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c2,4,Fit Model,9,LnBUILDSIZE,living_area,A_structural,log,m2,0.164,,2.093,,**,,,medium,"Building area; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.763,t,Insignificant variables dropped
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnNUMROOM,bedrooms,A_structural,log,count,0.094,,1.179,,,,,medium,"Number of rooms (all rooms); Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,WSTRUCTDUM,roof_materials,A_structural,binary,binary,-0.067,,-1.088,,,,,medium,"Wall structure dummy; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnDISSCHOOL,school_distance,D_location,log,m,-0.071,,-1.809,,*,,,medium,"Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c2,4,Fit Model,9,LnDISSCHOOL,school_distance,D_location,log,m,-0.068,,-1.91,,**,,,medium,"Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.763,t,Insignificant variables dropped
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnDISHPITAL,hospital_distance,D_location,log,m,-0.085,,-1.98,,**,,,medium,"Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c2,4,Fit Model,9,LnDISHPITAL,hospital_distance,D_location,log,m,-0.075,,-1.885,,*,,,medium,"Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.763,t,Insignificant variables dropped
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnDISSPMARKET,commercial_distance,D_location,log,m,0.023,,0.56,,,,,medium,"Distance from supermarket; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnDISREST,neighbourhood_amenities,F_neighbourhood,log,m,-0.023,,-0.652,,,,,medium,"Distance from restaurant; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnDISCITY,cbd_distance,D_location,log,m,0.054,,1.274,,,,,medium,"Distance from city; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c2,4,Fit Model,9,LnDISCITY,cbd_distance,D_location,log,m,0.064,,1.538,,,,,medium,"Distance from city; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.763,t,Insignificant variables dropped
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnDISMSTREET,highway_distance,D_location,log,m,0.024,,1.03,,,,,medium,"Distance from main street; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,GARDENDUM,garden,C_exterior,binary,binary,0.129,,1.673,,*,,,medium,"Dummy for close to garden; Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c1,4,Full Model,9,LnCO,air_pollution,E_environment,log,ug/m3,-1.305,,-13.115,,***,,,medium,"Carbon monoxide concentration (2010 ambient monitoring); Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.766,t,All variables
281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1,281b355bd08bd1b8b228829d9c97b819d0d2a4d1:T4-c2,4,Fit Model,9,LnCO,air_pollution,E_environment,log,ug/m3,-1.375,,-15.066,,***,,,medium,"Carbon monoxide concentration (2010 ambient monitoring); Parentheses contain t-statistics (not stated explicitly; inferred from magnitudes); star legend not printed, conventional ***1% **5% *10% assumed","ln PPRICE (house sales price, Rupiah)",log,OLS,250.0,0.763,t,Insignificant variables dropped
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Temperature index,urban_heat,E_environment,level,index,-0.001,,,,,,,medium,"city temperature discomfort index (Zheng et al. 2009); smaller = more comfortable; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Temperature index,urban_heat,E_environment,level,index,-0.005,,,,,,,medium,"city temperature discomfort index (Zheng et al. 2009); smaller = more comfortable; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Mean monthly precipitation,other,other,level,mm_per_month,0.001,,,,,,,medium,"climate variable; no taxonomy leaf; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Mean monthly precipitation,other,other,level,mm_per_month,0.002,,,,***,,,medium,"climate variable; no taxonomy leaf; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Mean daily sunshine duration,sunlight,E_environment,level,hours,0.056,0.02,,,***,,,high,city average daily sunshine hours; city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%,"ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Mean daily sunshine duration,sunlight,E_environment,level,hours,0.078,0.02,,,***,,,high,city average daily sunshine hours; city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%,ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Annual mean concentration of PM2.5,air_pollution,E_environment,level,ug_m3,-0.0,,,,,,,medium,"city annual mean PM2.5 (Dalhousie gridded data); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Annual mean concentration of PM2.5,air_pollution,E_environment,level,ug_m3,-0.002,,,,,,,medium,"city annual mean PM2.5 (Dalhousie gridded data); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Green coverage ratio,green_space,E_environment,level,percent,0.002,,,,,,,medium,"greened land area / built land area of city, %; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Green coverage ratio,green_space,E_environment,level,percent,0.002,,,,,,,medium,"greened land area / built land area of city, %; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Coastal city,waterfront,C_exterior,binary,binary,0.178,0.04,,,***,,,high,city-level coastal location dummy (not property frontage); city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%,"ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Coastal city,waterfront,C_exterior,binary,binary,0.019,0.05,,,,,,high,city-level coastal location dummy (not property frontage); city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%,ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Population density,density,F_neighbourhood,level,100_persons_per_km2,-0.002,,,,,,,medium,"city population density; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Population density,density,F_neighbourhood,level,100_persons_per_km2,-0.003,,,,,,,medium,"city population density; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Population size,other,other,level,10000_persons,-0.001,,,,***,,,medium,"city population size (control); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Population size,other,other,level,10000_persons,-0.0,,,,,,,medium,"city population size (control); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Number of theatres,neighbourhood_amenities,F_neighbourhood,level,per_100000_pop,0.055,0.02,,,***,,,high,"theatres per 100,000 population; city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Number of theatres,neighbourhood_amenities,F_neighbourhood,level,per_100000_pop,0.108,0.03,,,***,,,high,"theatres per 100,000 population; city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Number of hospital bed,public_services,F_neighbourhood,level,per_10000_pop,0.001,,,,,,,medium,"hospital beds per 10,000 population; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Number of hospital bed,public_services,F_neighbourhood,level,per_10000_pop,0.003,,,,***,,,medium,"hospital beds per 10,000 population; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Teacher-student ratio in high schools,school_quality,F_neighbourhood,level,per_mille,0.001,,,,,,,medium,"teacher-student ratio in high schools (per mille); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Teacher-student ratio in high schools,school_quality,F_neighbourhood,level,per_mille,-0.003,,,,,,,medium,"teacher-student ratio in high schools (per mille); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Number of higher education institutions,university_distance,D_location,level,count,0.001,,,,,,,medium,"number of colleges/universities in city (count, not distance); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Number of higher education institutions,university_distance,D_location,level,count,0.001,,,,,,,medium,"number of colleges/universities in city (count, not distance); SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Road area ratio,other,other,level,percent,-0.003,,,,,,,medium,"total road area / urban area, %; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Road area ratio,other,other,level,percent,0.006,,,,,,,medium,"total road area / urban area, %; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Number of airline routes,other,other,level,count,0.003,,,,***,,,medium,"inter-city air accessibility; no taxonomy leaf; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Number of airline routes,other,other,level,count,0.002,,,,*,,,medium,"inter-city air accessibility; no taxonomy leaf; SE printed as (0.00) (rounded to 2 decimals, unusable) -> se set to null; city-level amenity; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c1,2,1,27,Capital city,other,other,binary,binary,0.163,0.06,,,***,,,high,"1 = provincial capital, sub-provincial or centrally administered city; city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%","ln(housing price), self-reported purchase cost of owner-occupied unit (CNY)",log,OLS,421660.0,0.734,se,owner-occupied units; housing attributes and 432 attribute-group FE included (not reported); SE clustered by city
28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0,28afe169f4e2851e590b8152147dbd5bb4ee90f0:T2-c2,2,2,27,Capital city,other,other,binary,binary,0.107,0.06,,,*,,,high,"1 = provincial capital, sub-provincial or centrally administered city; city-level amenity; SE clustered by city; stars * 10% ** 5% *** 1%",ln(monthly housing rent) (CNY),log,OLS,227594.0,0.542,se,rental units; housing attributes and group FE included (not reported); SE clustered by city
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,minDist,other,other,level,m,2.197e-05,2.881e-06,,,***,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy)","ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Count500,other,other,level,count,0.003,0.003,,,,,,high,Number of dispensaries within 500 m,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Count1000,other,other,level,count,-0.004,0.002,,,**,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Count2000,other,other,level,count,0.004,0.001,,,***,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Age,age,A_structural,level,years,-0.012,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Age2,age,A_structural,squared,years,8.527e-05,4.01e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,SQFT,living_area,A_structural,level,sqft,0.001,1e-05,,,***,,,high,Living area in square feet; SQFT printed as 0.001 (rounded),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,SQFT2,living_area,A_structural,squared,sqft,-3.323e-08,1.372e-09,,,***,,,high,Square of living area (sqft),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Baths,bathrooms,A_structural,level,count,0.069,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Density,density,F_neighbourhood,level,count,0.0003,0.0001,,,**,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Dist to CBD (km),cbd_distance,D_location,level,km,-0.0007,0.0004,,,*,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c1,4,1 (Benchmark),16,Neighborhood,income,F_neighbourhood,level,currency,3.823e-07,1.721e-08,,,***,,,high,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth)","ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,minDist,other,other,level,m,1.467e-05,2.598e-06,,,***,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,Age,age,A_structural,level,years,-0.012,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,Age2,age,A_structural,squared,years,8.834e-05,3.975e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,SQFT,living_area,A_structural,level,sqft,0.001,1e-05,,,***,,,high,Living area in square feet; SQFT printed as 0.001 (rounded),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,SQFT2,living_area,A_structural,squared,sqft,-3.328e-08,1.373e-09,,,***,,,high,Square of living area (sqft),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,Baths,bathrooms,A_structural,level,count,0.069,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,Density,density,F_neighbourhood,level,count,0.0003,0.0001,,,*,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,Dist to CBD (km),cbd_distance,D_location,level,km,-0.001,0.0004,,,***,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c2,4,2 (No counts),16,Neighborhood,income,F_neighbourhood,level,currency,3.736e-07,1.713e-08,,,***,,,high,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,minDist,other,other,level,m,1.135e-06,7.023e-06,,,,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,minDist2,other,other,squared,m,3.041e-09,1.466e-09,,,**,,,high,Square of minDist (metres),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,Age,age,A_structural,level,years,-0.012,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,Age2,age,A_structural,squared,years,8.786e-05,3.981e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,SQFT,living_area,A_structural,level,sqft,0.001,1e-05,,,***,,,high,Living area in square feet; SQFT printed as 0.001 (rounded),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,SQFT2,living_area,A_structural,squared,sqft,-3.318e-08,1.374e-09,,,***,,,high,Square of living area (sqft),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,Baths,bathrooms,A_structural,level,count,0.069,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,Density,density,F_neighbourhood,level,count,0.0003,0.0001,,,**,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,Dist to CBD (km),cbd_distance,D_location,level,km,-0.001,0.0004,,,***,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c3,4,3 (No counts & minDist2),16,Neighborhood,income,F_neighbourhood,level,currency,3.3739e-07,1.713e-08,,,***,,,high,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,minDist,other,other,level,m,-1.613e-05,7.761e-06,,,**,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy)","ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,minDist2,other,other,squared,m,2.437e-09,1.47e-09,,,*,,,high,Square of minDist (metres),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,minDist × Neighborhood,other,other,other,m,8.908e-11,1.707e-11,,,***,,,high,Interaction minDist x historical neighbourhood value index (USD),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,Age,age,A_structural,level,years,-0.012,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,Age2,age,A_structural,squared,years,8.726e-05,3.981e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,SQFT,living_area,A_structural,level,sqft,0.001,1e-05,,,***,,,high,Living area in square feet; SQFT printed as 0.001 (rounded),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,SQFT2,living_area,A_structural,squared,sqft,-3.355e-08,1.375e-09,,,***,,,high,Square of living area (sqft),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,Baths,bathrooms,A_structural,level,count,0.068,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,Density,density,F_neighbourhood,level,count,0.0003,0.0001,,,**,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,Dist to CBD (km),cbd_distance,D_location,level,km,-0.001,0.0004,,,***,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T4-c4,4,4 (No counts & Interaction),16,Neighborhood,income,F_neighbourhood,level,currency,2.815e-07,2.463e-08,,,***,,,high,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth)","ln(Price/100), sale price USD",log,OLS,28022.0,0.64,se,"Pooled 4-county benchmark sample (Comanche, Oklahoma, Wagoner, Washington), sales after July 2020-2023; year and county dummies not extracted"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Count500,other,other,level,count,0.0001,0.003,,,,,,high,Number of dispensaries within 500 m,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Count1000,other,other,level,count,-0.005,0.002,,,***,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Count2000,other,other,level,count,0.003,0.001,,,***,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Age,age,A_structural,level,years,-0.013,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Age2,age,A_structural,squared,years,9e-05,4e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,SQFT,living_area,A_structural,level,sqft,0.0006,1e-05,,,***,,,high,Living area in square feet,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Baths,bathrooms,A_structural,level,count,0.07,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Density,density,F_neighbourhood,level,count,6e-05,0.0001,,,,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),19,Dist to CBD (km),cbd_distance,D_location,level,km,-0.0002,0.0004,,,,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c1,5,1 (All),20,Neighborhood,income,F_neighbourhood,level,currency,4e-07,,,,***,,,medium,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth); printed as 0.0000004 (0.0000000): SE rounded to zero in print, set se=null","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,Count500,other,other,level,count,0.001,0.003,,,,,,high,Number of dispensaries within 500 m,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,Age,age,A_structural,level,years,-0.012,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,Age2,age,A_structural,squared,years,9e-05,4e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,SQFT,living_area,A_structural,level,sqft,0.0006,1e-05,,,***,,,high,Living area in square feet,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,Baths,bathrooms,A_structural,level,count,0.07,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,Density,density,F_neighbourhood,level,count,8e-05,0.0001,,,,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),19,Dist to CBD (km),cbd_distance,D_location,level,km,-0.001,0.0004,,,*,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c2,5,2 (Count500),20,Neighborhood,income,F_neighbourhood,level,currency,4e-07,,,,***,,,medium,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth); printed as 0.0000004 (0.0000000): SE rounded to zero in print, set se=null","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,Count1000,other,other,level,count,0.0004,0.001,,,,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,Age,age,A_structural,level,years,-0.012,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,Age2,age,A_structural,squared,years,9e-05,4e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,SQFT,living_area,A_structural,level,sqft,0.0006,1e-05,,,***,,,high,Living area in square feet,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,Baths,bathrooms,A_structural,level,count,0.07,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,Density,density,F_neighbourhood,level,count,8e-05,0.0001,,,,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),19,Dist to CBD (km),cbd_distance,D_location,level,km,-0.001,0.0004,,,*,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c3,5,3 (Count1000),20,Neighborhood,income,F_neighbourhood,level,currency,4e-07,,,,***,,,medium,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth); printed as 0.0000004 (0.0000000): SE rounded to zero in print, set se=null","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,Count2000,other,other,level,count,0.002,0.0004,,,***,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,Age,age,A_structural,level,years,-0.013,0.0004,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,Age2,age,A_structural,squared,years,9e-05,4e-06,,,***,,,high,Age squared,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,SQFT,living_area,A_structural,level,sqft,0.0006,1e-05,,,***,,,high,Living area in square feet,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,Beds,bedrooms,A_structural,level,count,-0.043,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,Baths,bathrooms,A_structural,level,count,0.07,0.005,,,***,,,high,,"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,Density,density,F_neighbourhood,level,count,6e-05,0.0001,,,,,,high,"Number of home sales within 500 m radius, Jan 2016-Jul 2018 (local sales density, not population density)","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),19,Dist to CBD (km),cbd_distance,D_location,level,km,-0.0002,0.0004,,,,,,high,Distance to nearest CBD (downtown Oklahoma City or Tulsa),"ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T5-c4,5,4 (Count2000),20,Neighborhood,income,F_neighbourhood,level,currency,4e-07,,,,***,,,medium,"Historical neighbourhood value index: mean sale price (USD) of homes within 500 m sold Jan 2016-Jul 2018 (neighbourhood quality proxy, closest leaf = neighbourhood income/wealth); printed as 0.0000004 (0.0000000): SE rounded to zero in print, set se=null","ln(Price/100), sale price USD",log,OLS,28022.0,0.639,se,Pooled 4-county sample without minDist; count variables jointly (col 1) or one at a time (cols 2-4); SQFT2 printed as -0.0000000*** (0.00000) and not extracted
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c1,6,1 (Comanche),22,minDist,other,other,level,m,-0.00013,3e-05,,,***,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy); county-specific regression; structural controls not printed","ln(Price/100), sale price USD",log,OLS,4068.0,0.246,se,"Comanche County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c1,6,1 (Comanche),22,Count500,other,other,level,count,-0.005,0.011,,,,,,high,Number of dispensaries within 500 m; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,4068.0,0.246,se,"Comanche County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c1,6,1 (Comanche),22,Count1000,other,other,level,count,0.004,0.006,,,,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,4068.0,0.246,se,"Comanche County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c1,6,1 (Comanche),22,Count2000,other,other,level,count,-0.003,0.003,,,,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,4068.0,0.246,se,"Comanche County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c2,6,2 (Wagoner),22,minDist,other,other,level,m,1e-05,1e-05,,,,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy); county-specific regression; structural controls not printed","ln(Price/100), sale price USD",log,OLS,396.0,0.536,se,"Wagoner County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c2,6,2 (Wagoner),22,Count500,other,other,level,count,0.054,0.055,,,,,,high,Number of dispensaries within 500 m; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,396.0,0.536,se,"Wagoner County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c2,6,2 (Wagoner),22,Count1000,other,other,level,count,-0.008,0.027,,,,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,396.0,0.536,se,"Wagoner County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c2,6,2 (Wagoner),22,Count2000,other,other,level,count,-0.003,0.011,,,,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,396.0,0.536,se,"Wagoner County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c3,6,3 (Washington),22,minDist,other,other,level,m,-1e-05,2e-05,,,,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy); county-specific regression; structural controls not printed","ln(Price/100), sale price USD",log,OLS,286.0,0.772,se,"Washington County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c3,6,3 (Washington),22,Count500,other,other,level,count,-0.008,0.035,,,,,,high,Number of dispensaries within 500 m; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,286.0,0.772,se,"Washington County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c3,6,3 (Washington),22,Count1000,other,other,level,count,0.001,0.013,,,,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,286.0,0.772,se,"Washington County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c3,6,3 (Washington),22,Count2000,other,other,level,count,-0.007,0.008,,,,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,286.0,0.772,se,"Washington County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c4,6,4 (Oklahoma),22,minDist,other,other,level,m,2e-05,3e-06,,,***,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy); county-specific regression; structural controls not printed","ln(Price/100), sale price USD",log,OLS,21463.0,0.732,se,"Oklahoma County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c4,6,4 (Oklahoma),22,Count500,other,other,level,count,0.001,0.003,,,,,,high,Number of dispensaries within 500 m; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,21463.0,0.732,se,"Oklahoma County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c4,6,4 (Oklahoma),22,Count1000,other,other,level,count,-0.008,0.002,,,***,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,21463.0,0.732,se,"Oklahoma County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c4,6,4 (Oklahoma),22,Count2000,other,other,level,count,0.006,0.001,,,***,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,21463.0,0.732,se,"Oklahoma County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c5,6,5 (Payne),22,minDist,other,other,level,m,-5e-05,2e-05,,,**,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy); county-specific regression; structural controls not printed","ln(Price/100), sale price USD",log,OLS,622.0,0.307,se,"Payne County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c5,6,5 (Payne),22,Count500,other,other,level,count,0.023,0.11,,,,,,high,Number of dispensaries within 500 m; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,622.0,0.307,se,"Payne County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c5,6,5 (Payne),22,Count1000,other,other,level,count,0.012,0.077,,,,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,622.0,0.307,se,"Payne County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c5,6,5 (Payne),22,Count2000,other,other,level,count,-0.044,0.015,,,***,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,622.0,0.307,se,"Payne County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c6,6,6 (Tulsa),22,minDist,other,other,level,m,0.00011,1e-05,,,***,,,high,"Printed name: minDist = distance in metres to nearest medical marijuana dispensary (disamenity/amenity, not in taxonomy); county-specific regression; structural controls not printed","ln(Price/100), sale price USD",log,OLS,24233.0,0.197,se,"Tulsa County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c6,6,6 (Tulsa),22,Count500,other,other,level,count,0.019,0.006,,,***,,,high,Number of dispensaries within 500 m; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,24233.0,0.197,se,"Tulsa County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c6,6,6 (Tulsa),22,Count1000,other,other,level,count,0.011,0.003,,,***,,,high,Number of dispensaries within 500-1000 m band (Table 4/5 'All'); within 1000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,24233.0,0.197,se,"Tulsa County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c,28fd8140cfc928298ce0dcc59bc4a1264ace9c6c:T6-c6,6,6 (Tulsa),22,Count2000,other,other,level,count,-0.002,0.001,,,,,,high,Number of dispensaries within 1000-2000 m band (Table 4/5 'All'); within 2000 m when entered alone; county-specific regression; structural controls not printed,"ln(Price/100), sale price USD",log,OLS,24233.0,0.197,se,"Tulsa County only, sales within 2x cross-validated minDist threshold; county-specific control variables included but withheld from the table"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,SIZE,living_area,A_structural,log,m2,0.787,,68.211,,***,,,high,"Living area m2, logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,SIZE,living_area,A_structural,log,m2,0.787,,67.918,,***,,,high,"Living area m2, logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,SIZE,living_area,A_structural,log,m2,0.789,,68.015,,***,,,high,"Living area m2, logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,SIZE,living_area,A_structural,log,m2,0.789,,68.157,,***,,,high,"Living area m2, logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,SIZE,living_area,A_structural,log,m2,0.789,,68.033,,***,,,high,"Living area m2, logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,SIZE,living_area,A_structural,log,m2,0.789,,68.16,,***,,,high,"Living area m2, logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,AGE,age,A_structural,log,years,-0.021,,-5.367,,***,,,high,"Age of building (years), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,AGE,age,A_structural,log,years,-0.021,,-5.353,,***,,,high,"Age of building (years), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,AGE,age,A_structural,log,years,-0.021,,-5.484,,***,,,high,"Age of building (years), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,AGE,age,A_structural,log,years,-0.021,,-5.467,,***,,,high,"Age of building (years), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,AGE,age,A_structural,log,years,-0.021,,-5.497,,***,,,high,"Age of building (years), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,AGE,age,A_structural,log,years,-0.021,,-5.488,,***,,,high,"Age of building (years), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,DEED,other,other,binary,binary,0.367,,18.589,,***,,,high,"1 if plot owned by property owner (freehold) vs leasehold/cooperative; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,DEED,other,other,binary,binary,0.367,,18.559,,***,,,high,"1 if plot owned by property owner (freehold) vs leasehold/cooperative; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,DEED,other,other,binary,binary,0.366,,18.538,,***,,,high,"1 if plot owned by property owner (freehold) vs leasehold/cooperative; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,DEED,other,other,binary,binary,0.366,,18.536,,***,,,high,"1 if plot owned by property owner (freehold) vs leasehold/cooperative; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,DEED,other,other,binary,binary,0.366,,18.563,,***,,,high,"1 if plot owned by property owner (freehold) vs leasehold/cooperative; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,DEED,other,other,binary,binary,0.366,,18.559,,***,,,high,"1 if plot owned by property owner (freehold) vs leasehold/cooperative; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,BEACH,waterfront,C_exterior,binary,binary,0.413,,13.019,,***,,,high,"Beach-side property: within 150 m of waterfront. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,BEACH,waterfront,C_exterior,binary,binary,0.413,,13.015,,***,,,high,"Beach-side property: within 150 m of waterfront. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,BEACH,waterfront,C_exterior,binary,binary,0.415,,12.998,,***,,,high,"Beach-side property: within 150 m of waterfront. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,BEACH,waterfront,C_exterior,binary,binary,0.415,,12.986,,***,,,high,"Beach-side property: within 150 m of waterfront. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,BEACH,waterfront,C_exterior,binary,binary,0.415,,13.0,,***,,,high,"Beach-side property: within 150 m of waterfront. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,BEACH,waterfront,C_exterior,binary,binary,0.415,,12.988,,***,,,high,"Beach-side property: within 150 m of waterfront. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,INC,income,F_neighbourhood,log,currency,0.532,,15.052,,***,,,high,"Average income in local small area (SEK 1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,INC,income,F_neighbourhood,log,currency,0.512,,14.107,,***,,,high,"Average income in local small area (SEK 1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,INC,income,F_neighbourhood,log,currency,0.525,,14.443,,***,,,high,"Average income in local small area (SEK 1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,INC,income,F_neighbourhood,log,currency,0.523,,14.466,,***,,,high,"Average income in local small area (SEK 1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,INC,income,F_neighbourhood,log,currency,0.528,,14.482,,***,,,high,"Average income in local small area (SEK 1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,INC,income,F_neighbourhood,log,currency,0.526,,4.534,,***,,,high,"Average income in local small area (SEK 1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,POP,density,F_neighbourhood,log,count,0.043,,5.114,,***,,,high,"Population of local small area (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,POP,density,F_neighbourhood,log,count,0.041,,4.783,,***,,,high,"Population of local small area (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,POP,density,F_neighbourhood,log,count,0.042,,4.932,,***,,,high,"Population of local small area (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,POP,density,F_neighbourhood,log,count,0.042,,4.938,,***,,,high,"Population of local small area (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,POP,density,F_neighbourhood,log,count,0.043,,4.955,,***,,,high,"Population of local small area (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,POP,density,F_neighbourhood,log,count,0.042,,4.973,,***,,,high,"Population of local small area (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,LOC_LABOR,employment_access,D_location,log,count,0.062,,5.739,,***,,,high,"Number of jobs in home municipality (1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,LOC_LABOR,employment_access,D_location,log,count,0.055,,5.187,,***,,,high,"Number of jobs in home municipality (1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,LOC_LABOR,employment_access,D_location,log,count,0.06,,5.687,,***,,,high,"Number of jobs in home municipality (1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,LOC_LABOR,employment_access,D_location,log,count,0.061,,5.686,,***,,,high,"Number of jobs in home municipality (1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,LOC_LABOR,employment_access,D_location,log,count,0.061,,5.758,,***,,,high,"Number of jobs in home municipality (1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,LOC_LABOR,employment_access,D_location,log,count,0.062,,5.732,,***,,,high,"Number of jobs in home municipality (1,000), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,STATION_DIST,transit_distance,D_location,log,km,-0.016,,-2.431,,**,,,high,"Road-network travel distance to closest train station (km), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,STATION_DIST,transit_distance,D_location,log,km,-0.013,,-2.118,,**,,,high,"Road-network travel distance to closest train station (km), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,STATION_DIST,transit_distance,D_location,log,km,-0.013,,-2.124,,**,,,high,"Road-network travel distance to closest train station (km), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,STATION_DIST,transit_distance,D_location,log,km,-0.013,,-2.076,,**,,,high,"Road-network travel distance to closest train station (km), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,STATION_DIST,transit_distance,D_location,log,km,-0.013,,-2.121,,**,,,high,"Road-network travel distance to closest train station (km), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,STATION_DIST,transit_distance,D_location,log,km,-0.013,,-2.082,,**,,,high,"Road-network travel distance to closest train station (km), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ci,4,i,12,PASSENGERS,other,other,log,count,0.034,,6.644,,***,,,high,"Passengers per day at closest train station (10,000), logged; station ridership, no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.449,t,"Base: station distance + passengers; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,PASSENGERS,other,other,log,count,0.029,,5.886,,***,,,high,"Passengers per day at closest train station (10,000), logged; station ridership, no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,PASSENGERS,other,other,log,count,0.019,,3.516,,***,,,high,"Passengers per day at closest train station (10,000), logged; station ridership, no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,PASSENGERS,other,other,log,count,0.026,,3.703,,***,,,high,"Passengers per day at closest train station (10,000), logged; station ridership, no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,PASSENGERS,other,other,log,count,0.02,,3.566,,***,,,high,"Passengers per day at closest train station (10,000), logged; station ridership, no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,PASSENGERS,other,other,log,count,0.026,,3.563,,***,,,high,"Passengers per day at closest train station (10,000), logged; station ridership, no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cii,4,ii,12,CLOSENESS (Gravity),employment_access,D_location,log,count,0.187,,2.991,,***,,,high,"Gravity-form closeness centrality of closest station: rail-network accessibility to employment in other nodes (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.479,t,"+ CLOSENESS (gravity); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,CLOSENESS (Gravity),employment_access,D_location,log,count,0.172,,2.733,,***,,,high,"Gravity-form closeness centrality of closest station: rail-network accessibility to employment in other nodes (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,CLOSENESS (Gravity),employment_access,D_location,log,count,0.175,,2.855,,***,,,high,"Gravity-form closeness centrality of closest station: rail-network accessibility to employment in other nodes (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,CLOSENESS (Gravity),employment_access,D_location,log,count,0.184,,2.937,,***,,,high,"Gravity-form closeness centrality of closest station: rail-network accessibility to employment in other nodes (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,CLOSENESS (Gravity),employment_access,D_location,log,count,0.181,,2.864,,***,,,high,"Gravity-form closeness centrality of closest station: rail-network accessibility to employment in other nodes (1,000 inh), logged. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-ciii,4,iii,12,DEGREE,other,other,log,count,0.089,,3.843,,***,,,high,"Degree centrality: number of stations reachable without changing trains, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.509,t,"+ DEGREE; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,DEGREE,other,other,log,count,0.087,,3.789,,***,,,high,"Degree centrality: number of stations reachable without changing trains, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,DEGREE,other,other,log,count,0.092,,3.977,,***,,,high,"Degree centrality: number of stations reachable without changing trains, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,DEGREE,other,other,log,count,0.09,,3.933,,***,,,high,"Degree centrality: number of stations reachable without changing trains, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-civ,4,iv,12,BETWEENNESS (Oresund train),other,other,log,index,-0.303,,-1.173,,,,,high,"Betweenness centrality of closest station in the Oresund train network, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.51,t,"+ BETWEENNESS (Oresund trains); spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,BETWEENNESS (Oresund train),other,other,log,index,-0.291,,-0.988,,,,,high,"Betweenness centrality of closest station in the Oresund train network, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cv,4,v,12,BETWEENNESS (Pagatag train),other,other,log,index,-0.742,,-0.797,,,,,high,"Betweenness centrality of closest station in the Pagatag train network, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"+ BETWEENNESS (Pagatag trains), without Oresund; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65,290a4bf33ce230c96c2113bb929c287ce4514c65:T4-cvi,4,vi,12,BETWEENNESS (Pagatag train),other,other,log,index,-0.26,,-0.239,,,,,high,"Betweenness centrality of closest station in the Pagatag train network, logged; no taxonomy leaf. Z values in parentheses (recorded as t); *** p<0.01, ** p<0.05, * p<0.1; all continuous variables in natural logs; N=18,273.","ln PRICE (single-family house sale price, SEK)",log,spatial_error,18273.0,0.512,t,"All network measures; spatial error model, GMM (Kelejian-Prucha), pseudo R2 reported"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Urban distance),cbd_distance,D_location,log,"km (log Euclidean distance to centroid of nearest major urban centre; unit not printed, km implied by descriptives)",-0.0053,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Urban distance),cbd_distance,D_location,log,"km (log Euclidean distance to centroid of nearest major urban centre; unit not printed, km implied by descriptives)",-0.0055,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Urban distance),cbd_distance,D_location,log,"km (log Euclidean distance to centroid of nearest major urban centre; unit not printed, km implied by descriptives)",-0.0058,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Urban distance),cbd_distance,D_location,log,"km (log Euclidean distance to centroid of nearest major urban centre; unit not printed, km implied by descriptives)",-0.0058,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Urban distance),cbd_distance,D_location,log,"km (log Euclidean distance to centroid of nearest major urban centre; unit not printed, km implied by descriptives)",-0.0119,0.003,,,***,,,medium,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Urban distance),cbd_distance,D_location,log,"km (log Euclidean distance to centroid of nearest major urban centre; unit not printed, km implied by descriptives)",-0.0116,0.003,,,***,,,medium,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Density),density,F_neighbourhood,log,per km2 (municipal population per square kilometre),0.1008,0.005,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Density),density,F_neighbourhood,log,per km2 (municipal population per square kilometre),0.1006,0.005,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Density),density,F_neighbourhood,log,per km2 (municipal population per square kilometre),0.1003,0.005,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Density),density,F_neighbourhood,log,per km2 (municipal population per square kilometre),0.1003,0.005,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Density),density,F_neighbourhood,log,per km2 (municipal population per square kilometre),0.0859,0.007,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Density),density,F_neighbourhood,log,per km2 (municipal population per square kilometre),0.0859,0.007,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Foreign),demographics,F_neighbourhood,log,"share (log of 1 + percentage of population with a non-western background, municipality)",-0.1536,0.009,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Foreign),demographics,F_neighbourhood,log,"share (log of 1 + percentage of population with a non-western background, municipality)",-0.1535,0.009,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Foreign),demographics,F_neighbourhood,log,"share (log of 1 + percentage of population with a non-western background, municipality)",-0.1531,0.009,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Foreign),demographics,F_neighbourhood,log,"share (log of 1 + percentage of population with a non-western background, municipality)",-0.1531,0.009,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Foreign),demographics,F_neighbourhood,log,"share (log of 1 + percentage of population with a non-western background, municipality)",-0.1164,0.013,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Foreign),demographics,F_neighbourhood,log,"share (log of 1 + percentage of population with a non-western background, municipality)",-0.1159,0.013,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Burglary,crime,F_neighbourhood,log,"rate (log of 1 + burglaries per 10,000 inhabitants, municipality, 2012)",-0.0185,0.005,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Burglary,crime,F_neighbourhood,log,"rate (log of 1 + burglaries per 10,000 inhabitants, municipality, 2012)",-0.0182,0.005,,,***,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Burglary,crime,F_neighbourhood,log,"rate (log of 1 + burglaries per 10,000 inhabitants, municipality, 2012)",-0.0171,0.005,,,**,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Burglary,crime,F_neighbourhood,log,"rate (log of 1 + burglaries per 10,000 inhabitants, municipality, 2012)",-0.0172,0.005,,,**,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Burglary,crime,F_neighbourhood,log,"rate (log of 1 + burglaries per 10,000 inhabitants, municipality, 2012)",-0.0118,0.008,,,,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Burglary,crime,F_neighbourhood,log,"rate (log of 1 + burglaries per 10,000 inhabitants, municipality, 2012)",-0.012,0.008,,,,,,high,Municipal/neighbourhood variable; SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Water distance),water_proximity,E_environment,log,distance to water (log; unit not printed),-0.0087,0.002,,,***,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Water distance),water_proximity,E_environment,log,distance to water (log; unit not printed),-0.0087,0.002,,,***,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Water distance),water_proximity,E_environment,log,distance to water (log; unit not printed),-0.0088,0.002,,,***,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Water distance),water_proximity,E_environment,log,distance to water (log; unit not printed),-0.0088,0.002,,,***,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Water distance),water_proximity,E_environment,log,distance to water (log; unit not printed),-0.0116,0.002,,,***,,,medium,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Water distance),water_proximity,E_environment,log,distance to water (log; unit not printed),-0.0115,0.002,,,***,,,medium,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Forest distance),green_space,E_environment,log,distance to forest (log; unit not printed),-0.0045,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Forest distance),green_space,E_environment,log,distance to forest (log; unit not printed),-0.0043,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Forest distance),green_space,E_environment,log,distance to forest (log; unit not printed),-0.0038,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Forest distance),green_space,E_environment,log,distance to forest (log; unit not printed),-0.0039,0.002,,,*,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Forest distance),green_space,E_environment,log,distance to forest (log; unit not printed),-0.0039,0.002,,,,,,medium,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Forest distance),green_space,E_environment,log,distance to forest (log; unit not printed),-0.004,0.002,,,†,,,medium,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Nature distance),green_space,E_environment,log,distance to nature area (log; unit not printed),-0.0553,0.003,,,***,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Nature distance),green_space,E_environment,log,distance to nature area (log; unit not printed),-0.0549,0.003,,,***,,,medium,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Nature distance),green_space,E_environment,log,distance to nature area (log; unit not printed),-0.0546,0.003,,,***,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Nature distance),green_space,E_environment,log,distance to nature area (log; unit not printed),-0.0547,0.003,,,***,,,medium,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Nature distance),green_space,E_environment,log,distance to nature area (log; unit not printed),-0.0357,0.004,,,***,,,medium,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Nature distance),green_space,E_environment,log,distance to nature area (log; unit not printed),-0.0359,0.004,,,***,,,medium,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,24,Ln(Floor Area),living_area,A_structural,log,"m2 (net floorspace, NVM definition)",0.6616,0.009,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Floor Area),living_area,A_structural,log,"m2 (net floorspace, NVM definition)",0.6508,0.009,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Floor Area),living_area,A_structural,log,"m2 (net floorspace, NVM definition)",0.6485,0.009,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Floor Area),living_area,A_structural,log,"m2 (net floorspace, NVM definition)",0.6471,0.009,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Floor Area),living_area,A_structural,log,"m2 (net floorspace, NVM definition)",0.6471,0.009,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Floor Area),living_area,A_structural,log,"m2 (net floorspace, NVM definition)",0.5932,0.008,,,***,,,high,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Floor Area),living_area,A_structural,log,"m2 (net floorspace, NVM definition)",0.5931,0.008,,,***,,,high,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,24,Ln(Lotsize),lot_size,A_structural,log,m2 (log of 1 + lot size; flats = 0),0.0461,0.001,,,***,,,high,Log(1+lot size); apartments recorded with zero land; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,24,Ln(Lotsize),lot_size,A_structural,log,m2 (log of 1 + lot size; flats = 0),0.0514,0.001,,,***,,,high,Log(1+lot size); apartments recorded with zero land; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Ln(Lotsize),lot_size,A_structural,log,m2 (log of 1 + lot size; flats = 0),0.0514,0.001,,,***,,,high,Log(1+lot size); apartments recorded with zero land; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Ln(Lotsize),lot_size,A_structural,log,m2 (log of 1 + lot size; flats = 0),0.0514,0.001,,,***,,,high,Log(1+lot size); apartments recorded with zero land; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Ln(Lotsize),lot_size,A_structural,log,m2 (log of 1 + lot size; flats = 0),0.0514,0.001,,,***,,,high,Log(1+lot size); apartments recorded with zero land; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Ln(Lotsize),lot_size,A_structural,log,m2 (log of 1 + lot size; flats = 0),0.0553,0.001,,,***,,,high,Log(1+lot size); apartments recorded with zero land; SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Ln(Lotsize),lot_size,A_structural,log,m2 (log of 1 + lot size; flats = 0),0.0552,0.001,,,***,,,high,Log(1+lot size); apartments recorded with zero land; SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Rooms,bedrooms,A_structural,log,count (natural log of number of rooms per Table 1),0.0309,0.009,,,***,,,high,Printed as 'Rooms' in Table 7 but defined as Ln(rooms) in Tables 1 and 3; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Rooms,bedrooms,A_structural,log,count (natural log of number of rooms per Table 1),0.0327,0.009,,,***,,,high,Printed as 'Rooms' in Table 7 but defined as Ln(rooms) in Tables 1 and 3; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Rooms,bedrooms,A_structural,log,count (natural log of number of rooms per Table 1),0.0326,0.009,,,***,,,high,Printed as 'Rooms' in Table 7 but defined as Ln(rooms) in Tables 1 and 3; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Rooms,bedrooms,A_structural,log,count (natural log of number of rooms per Table 1),0.0323,0.009,,,***,,,high,Printed as 'Rooms' in Table 7 but defined as Ln(rooms) in Tables 1 and 3; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Rooms,bedrooms,A_structural,log,count (natural log of number of rooms per Table 1),0.0323,0.009,,,***,,,high,Printed as 'Rooms' in Table 7 but defined as Ln(rooms) in Tables 1 and 3; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Rooms,bedrooms,A_structural,log,count (natural log of number of rooms per Table 1),0.0498,0.008,,,***,,,high,Printed as 'Rooms' in Table 7 but defined as Ln(rooms) in Tables 1 and 3; SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Rooms,bedrooms,A_structural,log,count (natural log of number of rooms per Table 1),0.05,0.008,,,***,,,high,Printed as 'Rooms' in Table 7 but defined as Ln(rooms) in Tables 1 and 3; SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Two Bathrooms,bathrooms,A_structural,dummy,binary (two bathrooms vs one),0.1438,0.008,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Two Bathrooms,bathrooms,A_structural,dummy,binary (two bathrooms vs one),0.1395,0.008,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Two Bathrooms,bathrooms,A_structural,dummy,binary (two bathrooms vs one),0.1386,0.008,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Two Bathrooms,bathrooms,A_structural,dummy,binary (two bathrooms vs one),0.1374,0.008,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Two Bathrooms,bathrooms,A_structural,dummy,binary (two bathrooms vs one),0.1375,0.008,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Two Bathrooms,bathrooms,A_structural,dummy,binary (two bathrooms vs one),0.1164,0.007,,,***,,,high,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Two Bathrooms,bathrooms,A_structural,dummy,binary (two bathrooms vs one),0.116,0.007,,,***,,,high,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Three Bathrooms,bathrooms,A_structural,dummy,binary (three bathrooms vs one),0.2432,0.063,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Three Bathrooms,bathrooms,A_structural,dummy,binary (three bathrooms vs one),0.2489,0.061,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Three Bathrooms,bathrooms,A_structural,dummy,binary (three bathrooms vs one),0.2487,0.061,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Three Bathrooms,bathrooms,A_structural,dummy,binary (three bathrooms vs one),0.2542,0.061,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Three Bathrooms,bathrooms,A_structural,dummy,binary (three bathrooms vs one),0.254,0.061,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Three Bathrooms,bathrooms,A_structural,dummy,binary (three bathrooms vs one),0.1801,0.053,,,***,,,high,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Three Bathrooms,bathrooms,A_structural,dummy,binary (three bathrooms vs one),0.1806,0.053,,,***,,,high,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Balcony,terrace_balcony,C_exterior,binary,binary,0.1196,0.006,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Balcony,terrace_balcony,C_exterior,binary,binary,0.1158,0.006,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Balcony,terrace_balcony,C_exterior,binary,binary,0.1153,0.006,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Balcony,terrace_balcony,C_exterior,binary,binary,0.1153,0.006,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Balcony,terrace_balcony,C_exterior,binary,binary,0.1153,0.006,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Balcony,terrace_balcony,C_exterior,binary,binary,0.087,0.005,,,***,,,high,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Balcony,terrace_balcony,C_exterior,binary,binary,0.0871,0.005,,,***,,,high,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Parking,parking,A_structural,binary,binary (private parking),0.1244,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Parking,parking,A_structural,binary,binary (private parking),0.1342,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Parking,parking,A_structural,binary,binary (private parking),0.1338,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Parking,parking,A_structural,binary,binary (private parking),0.1327,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Parking,parking,A_structural,binary,binary (private parking),0.1327,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Parking,parking,A_structural,binary,binary (private parking),0.1203,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Parking,parking,A_structural,binary,binary (private parking),0.1205,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Basement,basement,A_structural,binary,binary,-0.0192,0.008,,,*,,,high,Negative because floorspace measure already includes basement area; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Basement,basement,A_structural,binary,binary,-0.0228,0.008,,,**,,,high,Negative because floorspace measure already includes basement area; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Basement,basement,A_structural,binary,binary,-0.0227,0.008,,,**,,,high,Negative because floorspace measure already includes basement area; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Basement,basement,A_structural,binary,binary,-0.0223,0.008,,,**,,,high,Negative because floorspace measure already includes basement area; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Basement,basement,A_structural,binary,binary,-0.0223,0.008,,,**,,,high,Negative because floorspace measure already includes basement area; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Basement,basement,A_structural,binary,binary,-0.032,0.007,,,***,,,high,Negative because floorspace measure already includes basement area; SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Basement,basement,A_structural,binary,binary,-0.0319,0.007,,,***,,,high,Negative because floorspace measure already includes basement area; SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Attic,storage,B_interior,binary,binary (attic/loft),-0.0392,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Attic,storage,B_interior,binary,binary (attic/loft),-0.0371,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Attic,storage,B_interior,binary,binary (attic/loft),-0.0373,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Attic,storage,B_interior,binary,binary (attic/loft),-0.0389,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Attic,storage,B_interior,binary,binary (attic/loft),-0.0389,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Attic,storage,B_interior,binary,binary (attic/loft),-0.0316,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Attic,storage,B_interior,binary,binary (attic/loft),-0.032,0.004,,,***,,,high,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Under roof,storage,B_interior,binary,binary (under-roof storage area),-0.0064,0.006,,,,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Under roof,storage,B_interior,binary,binary (under-roof storage area),-0.0051,0.006,,,,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Under roof,storage,B_interior,binary,binary (under-roof storage area),-0.0054,0.005,,,,,,high,SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Under roof,storage,B_interior,binary,binary (under-roof storage area),-0.0073,0.006,,,,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Under roof,storage,B_interior,binary,binary (under-roof storage area),-0.0073,0.006,,,,,,high,SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Under roof,storage,B_interior,binary,binary (under-roof storage area),-0.0106,0.005,,,*,,,high,SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Under roof,storage,B_interior,binary,binary (under-roof storage area),-0.0112,0.005,,,*,,,high,SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Listed,other,other,binary,binary (listed/heritage building),0.2465,0.029,,,***,,,high,Listed (protected) building dummy; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Listed,other,other,binary,binary (listed/heritage building),0.2313,0.028,,,***,,,high,Listed (protected) building dummy; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Listed,other,other,binary,binary (listed/heritage building),0.2287,0.028,,,***,,,high,Listed (protected) building dummy; SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Listed,other,other,binary,binary (listed/heritage building),0.2257,0.028,,,***,,,high,Listed (protected) building dummy; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Listed,other,other,binary,binary (listed/heritage building),0.2258,0.028,,,***,,,high,Listed (protected) building dummy; SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Listed,other,other,binary,binary (listed/heritage building),0.1899,0.025,,,***,,,high,Listed (protected) building dummy; SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Listed,other,other,binary,binary (listed/heritage building),0.1895,0.025,,,***,,,high,Listed (protected) building dummy; SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c1,7,1,25,Monument,architectural_style,H_ai_derived,binary,binary (monumental appearance assessed by realtor),0.1416,0.024,,,***,,,high,Monumental appearance (not listed status); SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7035,se,Structure characteristics only; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c2,7,2,25,Monument,architectural_style,H_ai_derived,binary,binary (monumental appearance assessed by realtor),0.1425,0.023,,,***,,,high,Monumental appearance (not listed status); SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7223,se,Structure + neighbourhood characteristics; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,25,Monument,architectural_style,H_ai_derived,binary,binary (monumental appearance assessed by realtor),0.14,0.023,,,***,,,high,Monumental appearance (not listed status); SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,25,Monument,architectural_style,H_ai_derived,binary,binary (monumental appearance assessed by realtor),0.1418,0.023,,,***,,,high,Monumental appearance (not listed status); SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,25,Monument,architectural_style,H_ai_derived,binary,binary (monumental appearance assessed by realtor),0.1418,0.023,,,***,,,high,Monumental appearance (not listed status); SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,25,Monument,architectural_style,H_ai_derived,binary,binary (monumental appearance assessed by realtor),0.1648,0.02,,,***,,,high,Monumental appearance (not listed status); SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,25,Monument,architectural_style,H_ai_derived,binary,binary (monumental appearance assessed by realtor),0.1648,0.02,,,***,,,high,Monumental appearance (not listed status); SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Well-being,other,other,log,"index (log of 1 + RAND-36 emotional well-being score, occupant level)",0.0385,0.009,,,***,,,high,"Occupant subjective well-being (individual-level, not a physical characteristic); instrumented in IV columns; SE printed on sigma row",log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Well-being,other,other,log,"index (log of 1 + RAND-36 emotional well-being score, occupant level)",0.181,0.029,,,***,,,high,"Occupant subjective well-being (individual-level, not a physical characteristic); instrumented in IV columns; SE printed on sigma row",log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Well-being,other,other,log,"index (log of 1 + RAND-36 emotional well-being score, occupant level)",0.1744,0.026,,,***,,,high,"Occupant subjective well-being (individual-level, not a physical characteristic); instrumented in IV columns; SE printed on sigma row",log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Well-being,other,other,log,"index (log of 1 + RAND-36 emotional well-being score, occupant level)",0.0893,0.018,,,***,,,high,"Occupant subjective well-being (individual-level, not a physical characteristic); instrumented in IV columns; SE printed on sigma row",log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Well-being,other,other,log,"index (log of 1 + RAND-36 emotional well-being score, occupant level)",0.1149,0.023,,,***,,,high,"Occupant subjective well-being (individual-level, not a physical characteristic); instrumented in IV columns; SE printed on sigma row",log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c3,7,3,24,Positive affect,other,other,log,"index (log of 1 + PANAS positive affect scale, occupant level)",0.1018,0.02,,,***,,,high,Occupant positive affect (individual-level); SE printed on sigma row,log transaction price,log,OLS,14857.0,0.7235,se,Structure + neighbourhood + subjective well-being and positive affect; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c4,7,4,24,Positive affect,other,other,log,"index (log of 1 + PANAS positive affect scale, occupant level)",-0.0077,0.029,,,,,,high,Occupant positive affect (individual-level); SE printed on sigma row,log transaction price,log,IV,14857.0,0.7191,se,Well-being instrumented by Ln(Health+1); Wu-Hausman 28.05***; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c5,7,5,24,Positive affect,other,other,log,"index (log of 1 + PANAS positive affect scale, occupant level)",-0.0027,0.028,,,,,,high,Occupant positive affect (individual-level); SE printed on sigma row,log transaction price,log,IV,14857.0,0.7195,se,Well-being instrumented by Ln(Health+1) and Ln(Pain+1); Sargan 0.332; N inferred from Table 2 / Table 6 (not printed in Table 7)
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Positive affect,other,other,log,"index (log of 1 + PANAS positive affect scale, occupant level)",0.0321,0.021,,,,,,high,Occupant positive affect (individual-level); SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c7,7,7,24,Positive affect,other,other,log,"index (log of 1 + PANAS positive affect scale, occupant level)",0.0094,0.024,,,,,,high,Occupant positive affect (individual-level); SE printed on sigma row,log transaction price,log,SAC,14857.0,0.7568,se,"Spatial lag and spatial error model (rho 0.4238***, lambda 0.2445***); N inferred from Table 2 / Table 6 (not printed in Table 7)"
291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5,291ca9688b933cfaf7d01e6f6552e428bb2432b5:T7-c6,7,6,24,Lag well-being (θ),other,other,other,"index (spatial lag of log(1+well-being), inverse-distance weights)",0.1007,0.035,,,**,,,high,Spatially lagged well-being (GNS only); SE printed on sigma row,log transaction price,log,other,14857.0,0.7574,se,"General nesting spatial model (rho 0.4282***, lambda 0.2409***, spatial lag of well-being); N inferred from Table 2 / Table 6 (not printed in Table 7)"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c1,3,Local Market,36,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.038,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.8,p,spatial FE level: Local Market (50 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c2,3,Micro market,36,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.046,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.841,p,spatial FE level: Micro market (261 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c3,3,Electoral District,36,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.04,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.854,p,spatial FE level: Electoral District (832 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c4,3,Small Area,36,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.061,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.882,p,spatial FE level: Small Area (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c5,3,ED x Year,36,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.038,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.868,p,spatial FE level: ED x Year (4509 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c6,3,Small Area + Micro-Market x Year,36,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.061,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,spatial FE level: Small Area + Micro-Market x Year (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c1,3,Local Market,36,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.012,,,0.34,,,,high,distance to transitional (estuarine) waters; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.8,p,spatial FE level: Local Market (50 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c2,3,Micro market,36,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.012,,,0.1,,,,high,distance to transitional (estuarine) waters; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.841,p,spatial FE level: Micro market (261 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c3,3,Electoral District,36,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.018,,,0.0,,,,high,distance to transitional (estuarine) waters; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.854,p,spatial FE level: Electoral District (832 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c4,3,Small Area,36,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.014,,,0.01,,,,high,distance to transitional (estuarine) waters; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.882,p,spatial FE level: Small Area (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c5,3,ED x Year,36,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.018,,,0.01,,,,high,distance to transitional (estuarine) waters; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.868,p,spatial FE level: ED x Year (4509 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c6,3,Small Area + Micro-Market x Year,36,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.014,,,0.01,,,,high,distance to transitional (estuarine) waters; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,spatial FE level: Small Area + Micro-Market x Year (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c1,3,Local Market,36,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.01,,,0.08,,,,high,GIS 3D viewshed breadth restricted to NLP-flagged listings; AI/NLP-assisted; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.8,p,spatial FE level: Local Market (50 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c2,3,Micro market,36,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.01,,,,high,GIS 3D viewshed breadth restricted to NLP-flagged listings; AI/NLP-assisted; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.841,p,spatial FE level: Micro market (261 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c3,3,Electoral District,36,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,GIS 3D viewshed breadth restricted to NLP-flagged listings; AI/NLP-assisted; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.854,p,spatial FE level: Electoral District (832 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c4,3,Small Area,36,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,GIS 3D viewshed breadth restricted to NLP-flagged listings; AI/NLP-assisted; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.882,p,spatial FE level: Small Area (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c5,3,ED x Year,36,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,GIS 3D viewshed breadth restricted to NLP-flagged listings; AI/NLP-assisted; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.868,p,spatial FE level: ED x Year (4509 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c6,3,Small Area + Micro-Market x Year,36,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,GIS 3D viewshed breadth restricted to NLP-flagged listings; AI/NLP-assisted; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,spatial FE level: Small Area + Micro-Market x Year (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c1,3,Local Market,36,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.023,,,0.04,,,,high,"view depth (horizon angle), 0 if no NLP-indicated view; robust clustered p-value printed below coefficient; no SE",natural log of listed sale price (EUR),log,OLS,100030.0,0.8,p,spatial FE level: Local Market (50 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c2,3,Micro market,36,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.02,,,0.0,,,,high,"view depth (horizon angle), 0 if no NLP-indicated view; robust clustered p-value printed below coefficient; no SE",natural log of listed sale price (EUR),log,OLS,100030.0,0.841,p,spatial FE level: Micro market (261 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c3,3,Electoral District,36,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.018,,,0.0,,,,high,"view depth (horizon angle), 0 if no NLP-indicated view; robust clustered p-value printed below coefficient; no SE",natural log of listed sale price (EUR),log,OLS,100030.0,0.854,p,spatial FE level: Electoral District (832 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c4,3,Small Area,36,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.013,,,0.0,,,,high,"view depth (horizon angle), 0 if no NLP-indicated view; robust clustered p-value printed below coefficient; no SE",natural log of listed sale price (EUR),log,OLS,100030.0,0.882,p,spatial FE level: Small Area (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c5,3,ED x Year,36,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.017,,,0.0,,,,high,"view depth (horizon angle), 0 if no NLP-indicated view; robust clustered p-value printed below coefficient; no SE",natural log of listed sale price (EUR),log,OLS,100030.0,0.868,p,spatial FE level: ED x Year (4509 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T3-c6,3,Small Area + Micro-Market x Year,36,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.013,,,0.0,,,,high,"view depth (horizon angle), 0 if no NLP-indicated view; robust clustered p-value printed below coefficient; no SE",natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,spatial FE level: Small Area + Micro-Market x Year (5571 absorbed units); robust p-values clustered at SFE level; controls included but not reported
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c1,4,Baseline,37,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.061,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c2,4,Spec 1: GIS-only breadth and depth,37,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.062,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 1: GIS-only breadth and depth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c3,4,Spec 2: GIS-only breadth,37,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.062,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 2: GIS-only breadth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c4,4,Spec 3: GIS-only depth,37,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.062,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 3: GIS-only depth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c5,4,Spec 4: NLP sea-view dummy only,37,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.061,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 4: NLP sea-view dummy only; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c6,4,Spec 5: NLP sea-view dummy set to 0 when GIS measure is 0,37,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.06,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 5: NLP sea-view dummy set to 0 when GIS measure is 0; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c1,4,Baseline,37,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.014,,,0.01,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c2,4,Spec 1: GIS-only breadth and depth,37,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.015,,,0.01,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 1: GIS-only breadth and depth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c3,4,Spec 2: GIS-only breadth,37,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.014,,,0.01,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 2: GIS-only breadth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c4,4,Spec 3: GIS-only depth,37,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.015,,,0.01,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 3: GIS-only depth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c5,4,Spec 4: NLP sea-view dummy only,37,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.012,,,0.02,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 4: NLP sea-view dummy only; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c6,4,Spec 5: NLP sea-view dummy set to 0 when GIS measure is 0,37,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.013,,,0.01,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 5: NLP sea-view dummy set to 0 when GIS measure is 0; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c1,4,Baseline,37,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,baseline NLP-restricted GIS measure; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c1,4,Baseline,37,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.013,,,0.0,,,,high,baseline; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c2,4,Spec 1: GIS-only breadth and depth,37,Seaview breadth (GIS only),view,E_environment,log,"index (ln of visible near-shore sea area score, all listings)",0.003,,,0.14,,,,high,GIS measure without NLP restriction; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 1: GIS-only breadth and depth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c2,4,Spec 1: GIS-only breadth and depth,37,Seaview depth (GIS only),view,E_environment,level,"degrees (vertical horizon angle, all listings)",0.013,,,0.0,,,,high,GIS measure without NLP restriction; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 1: GIS-only breadth and depth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c3,4,Spec 2: GIS-only breadth,37,Seaview breadth (GIS only),view,E_environment,log,"index (ln of visible near-shore sea area score, all listings)",0.008,,,0.0,,,,high,GIS measure without NLP restriction; depth excluded; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 2: GIS-only breadth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c4,4,Spec 3: GIS-only depth,37,Seaview depth (GIS only),view,E_environment,level,"degrees (vertical horizon angle, all listings)",0.015,,,0.0,,,,high,GIS measure without NLP restriction; breadth excluded; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 3: GIS-only depth; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c5,4,Spec 4: NLP sea-view dummy only,37,Sea Views NLP,view,E_environment,binary,"binary (sea view mentioned in listing text, NLP)",0.082,,,0.0,,,,high,AI/NLP-derived sea-view dummy; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 4: NLP sea-view dummy only; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T4-c6,4,Spec 5: NLP sea-view dummy set to 0 when GIS measure is 0,37,Sea Views NLP (GIS=0),view,E_environment,binary,"binary (NLP sea view, set to 0 if GIS viewshed score is 0)",0.079,,,0.0,,,,high,AI/NLP-derived sea-view dummy validated by GIS; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,100030.0,0.89,p,"Spec 5: NLP sea-view dummy set to 0 when GIS measure is 0; spatial FE Small Area + Micro-Market x Year (5,571 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c1,5 (printed 'Table 1' p.38),Baseline,38,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.06,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c2,5 (printed 'Table 1' p.38),Adding land viewshed,38,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.061,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c3,5 (printed 'Table 1' p.38),Adding slope,38,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.06,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c4,5 (printed 'Table 1' p.38),Adding land viewshed and slope,38,Distance To Coastline (log),water_proximity,E_environment,log,"m (Euclidean distance to coastline), log",-0.061,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed and slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c1,5 (printed 'Table 1' p.38),Baseline,38,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.015,,,0.01,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c2,5 (printed 'Table 1' p.38),Adding land viewshed,38,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.016,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c3,5 (printed 'Table 1' p.38),Adding slope,38,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.015,,,0.01,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c4,5 (printed 'Table 1' p.38),Adding land viewshed and slope,38,Distance To Transitional (log),water_proximity,E_environment,log,"m (Euclidean distance to transitional water body/estuary), log",-0.016,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed and slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c1,5 (printed 'Table 1' p.38),Baseline,38,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c2,5 (printed 'Table 1' p.38),Adding land viewshed,38,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c3,5 (printed 'Table 1' p.38),Adding slope,38,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c4,5 (printed 'Table 1' p.38),Adding land viewshed and slope,38,Seaview breadth,view,E_environment,log,"index (ln of visible near-shore sea area score, x NLP sea-view indicator)",0.011,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed and slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c1,5 (printed 'Table 1' p.38),Baseline,38,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.013,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Baseline; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c2,5 (printed 'Table 1' p.38),Adding land viewshed,38,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.012,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c3,5 (printed 'Table 1' p.38),Adding slope,38,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.013,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c4,5 (printed 'Table 1' p.38),Adding land viewshed and slope,38,Seaview depth,view,E_environment,level,degrees (vertical horizon angle),0.012,,,0.0,,,,high,robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed and slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c2,5 (printed 'Table 1' p.38),Adding land viewshed,38,Log of Land Area Viewshed,view,E_environment,log,"area (total land viewshed), log",0.005,,,0.0,,,,high,control for total land viewshed; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c4,5 (printed 'Table 1' p.38),Adding land viewshed and slope,38,Log of Land Area Viewshed,view,E_environment,log,"area (total land viewshed), log",0.005,,,0.0,,,,high,control for total land viewshed; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed and slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c3,5 (printed 'Table 1' p.38),Adding slope,38,Log of % Rise of Slope,other,other,log,"share (% rise of slope around property), log",0.0,,,0.97,,,,high,topography control; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8,2b0979784a826ff5181dbb43492b0239ca3062e8:T5-c4,5 (printed 'Table 1' p.38),Adding land viewshed and slope,38,Log of % Rise of Slope,other,other,log,"share (% rise of slope around property), log",0.001,,,0.83,,,,high,topography control; robust clustered p-value printed below coefficient; no SE,natural log of listed sale price (EUR),log,OLS,99447.0,0.89,p,"Adding land viewshed and slope; spatial FE Small Area + Micro-Market x Year (5,566 units); controls not reported"
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,HIGH,energy_efficiency,A_structural,dummy,binary,0.001,0.007,,,,,,high,"=1 if building energy performance <= 75 kWh/m2; reference: >75 kWh/m2 (c1,c2,c4) or medium efficiency 75-140 (c3,c5)",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,HIGH,energy_efficiency,A_structural,dummy,binary,0.011,0.005,,,**,,,high,"=1 if building energy performance <= 75 kWh/m2; reference: >75 kWh/m2 (c1,c2,c4) or medium efficiency 75-140 (c3,c5)",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,HIGH,energy_efficiency,A_structural,dummy,binary,0.011,0.005,,,**,,,high,"=1 if building energy performance <= 75 kWh/m2; reference: >75 kWh/m2 (c1,c2,c4) or medium efficiency 75-140 (c3,c5)",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,HIGH,energy_efficiency,A_structural,dummy,binary,0.007,0.004,,,*,,,high,"=1 if building energy performance <= 75 kWh/m2; reference: >75 kWh/m2 (c1,c2,c4) or medium efficiency 75-140 (c3,c5)",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,HIGH,energy_efficiency,A_structural,dummy,binary,0.007,0.004,,,*,,,high,"=1 if building energy performance <= 75 kWh/m2; reference: >75 kWh/m2 (c1,c2,c4) or medium efficiency 75-140 (c3,c5)",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,LOW,energy_efficiency,A_structural,dummy,binary,-0.001,0.002,,,,,,high,=1 if building energy performance > 140 kWh/m2; reference medium efficiency,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,LOW,energy_efficiency,A_structural,dummy,binary,-0.001,0.002,,,,,,high,=1 if building energy performance > 140 kWh/m2; reference medium efficiency,log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Area,living_area,A_structural,log,m2,0.862,0.019,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Rent,other,other,log,currency,-0.277,0.023,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Room,bedrooms,A_structural,level,count,0.049,0.004,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Area,living_area,A_structural,log,m2,0.746,0.012,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Rent,other,other,log,currency,-0.144,0.014,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Room,bedrooms,A_structural,level,count,0.06,0.002,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Area,living_area,A_structural,log,m2,0.746,0.012,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Rent,other,other,log,currency,-0.143,0.014,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Room,bedrooms,A_structural,level,count,0.06,0.002,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Area,living_area,A_structural,log,m2,0.751,0.006,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Rent,other,other,log,currency,-0.156,0.004,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Room,bedrooms,A_structural,level,count,0.058,0.002,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Area,living_area,A_structural,log,m2,0.751,0.006,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Rent,other,other,log,currency,-0.156,0.004,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Room,bedrooms,A_structural,level,count,0.058,0.002,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Building year 1901–1921,age,A_structural,dummy,binary,-0.041,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Building year 1901–1921,age,A_structural,dummy,binary,-0.002,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Building year 1901–1921,age,A_structural,dummy,binary,-0.002,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Building year 1901–1921,age,A_structural,dummy,binary,-0.006,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Building year 1901–1921,age,A_structural,dummy,binary,-0.006,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Building year 1922–1941,age,A_structural,dummy,binary,-0.143,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Building year 1922–1941,age,A_structural,dummy,binary,-0.066,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Building year 1922–1941,age,A_structural,dummy,binary,-0.066,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Building year 1922–1941,age,A_structural,dummy,binary,-0.07,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Building year 1922–1941,age,A_structural,dummy,binary,-0.07,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Building year 1942–1961,age,A_structural,dummy,binary,-0.28,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Building year 1942–1961,age,A_structural,dummy,binary,-0.116,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Building year 1942–1961,age,A_structural,dummy,binary,-0.116,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Building year 1942–1961,age,A_structural,dummy,binary,-0.12,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Building year 1942–1961,age,A_structural,dummy,binary,-0.12,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Building year 1962–1976,age,A_structural,dummy,binary,-0.467,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Building year 1962–1976,age,A_structural,dummy,binary,-0.165,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Building year 1962–1976,age,A_structural,dummy,binary,-0.165,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Building year 1962–1976,age,A_structural,dummy,binary,-0.163,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Building year 1962–1976,age,A_structural,dummy,binary,-0.163,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Building year 1977–1991,age,A_structural,dummy,binary,-0.304,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Building year 1977–1991,age,A_structural,dummy,binary,-0.143,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Building year 1977–1991,age,A_structural,dummy,binary,-0.144,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Building year 1977–1991,age,A_structural,dummy,binary,-0.139,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Building year 1977–1991,age,A_structural,dummy,binary,-0.139,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Building year 1992–2005,age,A_structural,dummy,binary,-0.218,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Building year 1992–2005,age,A_structural,dummy,binary,-0.074,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Building year 1992–2005,age,A_structural,dummy,binary,-0.074,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Building year 1992–2005,age,A_structural,dummy,binary,-0.063,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Building year 1992–2005,age,A_structural,dummy,binary,-0.063,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c1,2,1,8,Building year 2006–2019,age,A_structural,dummy,binary,-0.123,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.812,se,Full sample; 2-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c2,2,2,8,Building year 2006–2019,age,A_structural,dummy,binary,-0.001,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c3,2,3,8,Building year 2006–2019,age,A_structural,dummy,binary,-0.002,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.933,se,Full sample; 4-digit postcode FE; HIGH and LOW dummies; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c4,2,4,8,Building year 2006–2019,age,A_structural,dummy,binary,-0.004,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21695.0,0.943,se,Full sample; 4-digit postcode FE; robust regression (outlier-robust)
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T2-c5,2,5,8,Building year 2006–2019,age,A_structural,dummy,binary,-0.004,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.943,se,Full sample; 4-digit postcode FE; HIGH and LOW; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T3-c1,3,1,9,HIGH,energy_efficiency,A_structural,dummy,binary,0.004,0.006,,,,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,OLS,11468.0,0.913,se,Regional subsample: Stockholm; 4-digit postcode FE; robust SE; dwelling controls included but not reported
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T3-c2,3,2,9,HIGH,energy_efficiency,A_structural,dummy,binary,0.015,0.017,,,,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,OLS,4142.0,0.885,se,Regional subsample: South; 4-digit postcode FE; robust SE; dwelling controls included but not reported
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T3-c3,3,3,9,HIGH,energy_efficiency,A_structural,dummy,binary,0.002,0.008,,,,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,OLS,5285.0,0.912,se,Regional subsample: Mid; 4-digit postcode FE; robust SE; dwelling controls included but not reported
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,AB,energy_efficiency,A_structural,dummy,binary,0.015,0.009,,,*,,,high,EPC grade A or B; reference C-G,log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,AB,energy_efficiency,A_structural,dummy,binary,0.01,0.008,,,,,,high,EPC grade A or B; reference C-G,log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,ABC,energy_efficiency,A_structural,dummy,binary,0.001,0.005,,,,,,high,EPC grade A-C; reference D-G,log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,ABC,energy_efficiency,A_structural,dummy,binary,0.002,0.006,,,,,,high,EPC grade A-C; reference D,log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,ABC,energy_efficiency,A_structural,dummy,binary,-0.001,0.006,,,,,,high,EPC grade A-C; reference D,log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,EFG,energy_efficiency,A_structural,dummy,binary,0.002,0.005,,,,,,high,EPC grade E-G; reference D,log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,EFG,energy_efficiency,A_structural,dummy,binary,-0.002,0.005,,,,,,high,EPC grade E-G; reference D,log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Area,living_area,A_structural,log,m2,0.749,0.023,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Rent,other,other,log,currency,-0.164,0.025,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Room,bedrooms,A_structural,level,count,0.065,0.004,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Area,living_area,A_structural,log,m2,0.75,0.023,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Rent,other,other,log,currency,-0.165,0.025,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Room,bedrooms,A_structural,level,count,0.065,0.004,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Area,living_area,A_structural,log,m2,0.75,0.023,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Rent,other,other,log,currency,-0.165,0.025,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Room,bedrooms,A_structural,level,count,0.065,0.004,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Area,living_area,A_structural,log,m2,0.75,0.012,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Rent,other,other,log,currency,-0.17,0.009,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Room,bedrooms,A_structural,level,count,0.059,0.003,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Area,living_area,A_structural,log,m2,0.75,0.012,,,***,,,high,,log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Rent,other,other,log,currency,-0.17,0.009,,,***,,,high,"Monthly fee paid to tenant association (SEK, log); not market rent",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Room,bedrooms,A_structural,level,count,0.059,0.003,,,***,,,high,"Total number of rooms, not bedrooms; mapped to bedrooms as closest leaf",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Building year 1901–1921,age,A_structural,dummy,binary,0.0,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Building year 1901–1921,age,A_structural,dummy,binary,0.0,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Building year 1901–1921,age,A_structural,dummy,binary,0.0,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Building year 1901–1921,age,A_structural,dummy,binary,0.0,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Building year 1901–1921,age,A_structural,dummy,binary,-0.001,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Building year 1922–1941,age,A_structural,dummy,binary,-0.059,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Building year 1922–1941,age,A_structural,dummy,binary,-0.059,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Building year 1922–1941,age,A_structural,dummy,binary,-0.06,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Building year 1922–1941,age,A_structural,dummy,binary,-0.068,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Building year 1922–1941,age,A_structural,dummy,binary,-0.068,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Building year 1942–1961,age,A_structural,dummy,binary,-0.129,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Building year 1942–1961,age,A_structural,dummy,binary,-0.129,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Building year 1942–1961,age,A_structural,dummy,binary,-0.129,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Building year 1942–1961,age,A_structural,dummy,binary,-0.136,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Building year 1942–1961,age,A_structural,dummy,binary,-0.136,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Building year 1962–1976,age,A_structural,dummy,binary,-0.172,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Building year 1962–1976,age,A_structural,dummy,binary,-0.172,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Building year 1962–1976,age,A_structural,dummy,binary,-0.172,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Building year 1962–1976,age,A_structural,dummy,binary,-0.165,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Building year 1962–1976,age,A_structural,dummy,binary,-0.165,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Building year 1977–1991,age,A_structural,dummy,binary,-0.166,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Building year 1977–1991,age,A_structural,dummy,binary,-0.166,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Building year 1977–1991,age,A_structural,dummy,binary,-0.166,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Building year 1977–1991,age,A_structural,dummy,binary,-0.158,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Building year 1977–1991,age,A_structural,dummy,binary,-0.158,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Building year 1992–2005,age,A_structural,dummy,binary,-0.091,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Building year 1992–2005,age,A_structural,dummy,binary,-0.091,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Building year 1992–2005,age,A_structural,dummy,binary,-0.091,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Building year 1992–2005,age,A_structural,dummy,binary,-0.079,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Building year 1992–2005,age,A_structural,dummy,binary,-0.079,,,,***,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c1,4,1,10,Building year 2006–2019,age,A_structural,dummy,binary,0.016,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample (buildings with EPC grade); AB vs C-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c2,4,2,10,Building year 2006–2019,age,A_structural,dummy,binary,0.019,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC vs D-G; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c3,4,3,10,Building year 2006–2019,age,A_structural,dummy,binary,0.019,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,6555.0,0.936,se,Graded sample; ABC and EFG vs D; robust SE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c4,4,4,10,Building year 2006–2019,age,A_structural,dummy,binary,0.013,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6555.0,0.945,se,Graded sample; AB vs C-G; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T4-c5,4,5,10,Building year 2006–2019,age,A_structural,dummy,binary,0.014,,,,,,,high,"Construction-period dummy (not age); omitted category pre-1901; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,6553.0,0.945,se,Graded sample; ABC and EFG vs D; robust regression
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c1,5,1,11,HIGH,energy_efficiency,A_structural,dummy,binary,0.008,0.005,,,*,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.935,se,Full sample; income-category dummies; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c2,5,2,11,HIGH,energy_efficiency,A_structural,dummy,binary,0.006,0.004,,,,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,other,21691.0,0.944,se,Full sample; income-category dummies; robust regression; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c3,5,3,11,HIGH,energy_efficiency,A_structural,dummy,binary,-0.003,0.005,,,,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.924,se,Full sample; neighbourhood controls (unreported); 3-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c4,5,4,11,HIGH,energy_efficiency,A_structural,dummy,binary,0.003,0.005,,,,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.938,se,Full sample; neighbourhood controls (unreported); 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c5,5,5,11,HIGH,energy_efficiency,A_structural,dummy,binary,0.0,0.004,,,,,,high,<= 75 kWh/m2 dummy,log sales price (SEK) of tenant-owned apartment,log,other,21696.0,0.946,se,Full sample; neighbourhood controls (unreported); robust regression; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c1,5,1,11,IC1,income,F_neighbourhood,dummy,binary,-0.113,,,,***,,,high,"Dummy for postcode (DeSO) income quartile category 1 (IC1 lowest); reference = top income quartile; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.935,se,Full sample; income-category dummies; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c1,5,1,11,IC2,income,F_neighbourhood,dummy,binary,-0.053,,,,***,,,high,"Dummy for postcode (DeSO) income quartile category 2 (IC1 lowest); reference = top income quartile; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.935,se,Full sample; income-category dummies; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c1,5,1,11,IC3,income,F_neighbourhood,dummy,binary,-0.022,,,,***,,,high,"Dummy for postcode (DeSO) income quartile category 3 (IC1 lowest); reference = top income quartile; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.935,se,Full sample; income-category dummies; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c2,5,2,11,IC1,income,F_neighbourhood,dummy,binary,-0.092,,,,***,,,high,"Dummy for postcode (DeSO) income quartile category 1 (IC1 lowest); reference = top income quartile; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21691.0,0.944,se,Full sample; income-category dummies; robust regression; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c2,5,2,11,IC2,income,F_neighbourhood,dummy,binary,-0.038,,,,***,,,high,"Dummy for postcode (DeSO) income quartile category 2 (IC1 lowest); reference = top income quartile; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21691.0,0.944,se,Full sample; income-category dummies; robust regression; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T5-c2,5,2,11,IC3,income,F_neighbourhood,dummy,binary,-0.015,,,,***,,,high,"Dummy for postcode (DeSO) income quartile category 3 (IC1 lowest); reference = top income quartile; SE not printed, stars only",log sales price (SEK) of tenant-owned apartment,log,other,21691.0,0.944,se,Full sample; income-category dummies; robust regression; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T6-c1,6,1,11,HIGH (≤ 50 kWh/m2),energy_efficiency,A_structural,dummy,binary,0.01,0.012,,,,,,high,Narrow boundary,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.938,se,Full sample; HIGH defined as <= 50 kWh/m2; neighbourhood + dwelling controls; 4-digit postcode FE
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T6-c2,6,2,11,HIGH (≤ 100 kWh/m2),energy_efficiency,A_structural,dummy,binary,0.005,0.003,,,,,,high,Wide boundary,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.938,se,Full sample; HIGH defined as <= 100 kWh/m2; neighbourhood + dwelling controls
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T6-c3,6,3,11,HIGH (≤ 100 kWh/m2),energy_efficiency,A_structural,other,binary,0.468,0.098,,,***,,,high,Main effect in a specification with HIGH x log net income interaction; not interpretable alone,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.938,se,Full sample; HIGH (<= 100 kWh/m2) interacted with log net income; neighbourhood + dwelling controls
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T6-c3,6,3,11,HIGH (≤ 100 kWh/m2) × net income,energy_efficiency,A_structural,other,index,-0.082,0.017,,,***,,,high,Interaction of HIGH dummy with neighbourhood (DeSO) log net income,log sales price (SEK) of tenant-owned apartment,log,OLS,21696.0,0.938,se,Full sample; HIGH (<= 100 kWh/m2) interacted with log net income; neighbourhood + dwelling controls
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T8-c1,8,1,12,HIGH,energy_efficiency,A_structural,dummy,binary,0.009,0.005,,,*,,,high,<= 75 kWh/m2,log sales price (SEK) of tenant-owned apartment,log,OLS,16511.0,0.927,se,Full sample; propensity score (probit) included as covariate
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T8-c2,8,2,12,HIGH,energy_efficiency,A_structural,dummy,binary,0.012,0.005,,,**,,,high,<= 75 kWh/m2,log sales price (SEK) of tenant-owned apartment,log,WLS,2754.0,0.911,se,"Full sample; nearest-neighbour PS-matched sample, weighted"
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T8-c3,8,3,12,AB,energy_efficiency,A_structural,dummy,binary,0.011,0.009,,,,,,high,EPC grade A or B,log sales price (SEK) of tenant-owned apartment,log,OLS,3638.0,0.929,se,Graded sample; propensity score as covariate
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T8-c4,8,4,12,AB,energy_efficiency,A_structural,dummy,binary,0.014,0.009,,,,,,high,EPC grade A or B,log sales price (SEK) of tenant-owned apartment,log,WLS,788.0,0.939,se,"Graded sample; PS-matched sample, weighted"
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T9-c1,9,1,13,HIGH,energy_efficiency,A_structural,dummy,binary,0.005,0.005,,,,,,high,<= 75 kWh/m2,log sales price (SEK) of tenant-owned apartment,log,WLS,17702.0,0.931,se,"Full sample after coarsened exact matching (CEM), weighted hedonic regression"
2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f,2bbd25e60ca8ea2625da98d69a5096e00200229f:T9-c2,9,2,13,AB,energy_efficiency,A_structural,dummy,binary,0.007,0.009,,,,,,high,EPC grade A or B,log sales price (SEK) of tenant-owned apartment,log,WLS,4373.0,0.933,se,"Graded sample after CEM, weighted hedonic regression"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Age,age,A_structural,log,years,0.0616,,15.2607,,,,,medium,Age of house (data section lists year built); positive coefficient as printed; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Bathrooms,bathrooms,A_structural,log,count,0.0286,,1.9343,,,,,medium,Number of bathrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Bedrooms,bedrooms,A_structural,log,count,0.086,,5.1746,,,,,medium,Number of bedrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Dock,waterfront,C_exterior,dummy,binary,0.2154,,5.5903,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Square feet,living_area,A_structural,log,sqft,0.7462,,41.7834,,,,,medium,House square footage; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Central air,air_conditioning,A_structural,dummy,binary,0.1035,,6.461,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Lot size,lot_size,A_structural,log,acres,0.0046,,1.5806,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Adjacent golf,green_space,E_environment,dummy,binary,0.0163,,0.6336,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Distance fixed,green_space,E_environment,log,miles,-0.0316,,-16.7966,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Adjacent fixed,green_space,E_environment,dummy,binary,-0.1379,,-2.0083,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Distance historic,neighbourhood_amenities,F_neighbourhood,log,miles,-0.0489,,-6.4415,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.5175,,-5.3227,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Adjacent adjusted,other,other,dummy,binary,-0.3929,,-25.4133,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Distance railroad,other,other,log,miles,0.0568,,7.337,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Distance water,water_proximity,E_environment,log,miles,0.024,,4.2566,,,,,medium,Distance to nearest open water; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c1,1,1 Strict Contiguity,13,Adjacent water,waterfront,C_exterior,dummy,binary,0.274,,4.5128,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.56,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Age,age,A_structural,log,years,0.0657,,16.5206,,,,,medium,Age of house (data section lists year built); positive coefficient as printed; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Bathrooms,bathrooms,A_structural,log,count,0.0169,,1.1437,,,,,medium,Number of bathrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Bedrooms,bedrooms,A_structural,log,count,0.1049,,5.4593,,,,,medium,Number of bedrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Dock,waterfront,C_exterior,dummy,binary,0.1814,,4.8653,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Square feet,living_area,A_structural,log,sqft,0.681,,39.3776,,,,,medium,House square footage; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Central air,air_conditioning,A_structural,dummy,binary,0.1171,,7.1324,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Lot size,lot_size,A_structural,log,acres,0.006,,1.7832,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Adjacent golf,green_space,E_environment,dummy,binary,0.0703,,2.4266,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Distance fixed,green_space,E_environment,log,miles,-0.0283,,-15.1693,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Adjacent fixed,green_space,E_environment,dummy,binary,-0.0995,,-1.3958,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Distance historic,neighbourhood_amenities,F_neighbourhood,log,miles,-0.0444,,-5.1727,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.4934,,-4.8451,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Adjacent adjusted,other,other,dummy,binary,-0.3664,,-23.9456,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Distance railroad,other,other,log,miles,0.0589,,6.7463,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Distance water,water_proximity,E_environment,log,miles,0.0199,,3.229,,,,,medium,Distance to nearest open water; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c2,1,2 200-meter Contiguity,13,Adjacent water,waterfront,C_exterior,dummy,binary,0.2564,,3.9774,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Age,age,A_structural,log,years,0.053,,13.5754,,,,,medium,Age of house (data section lists year built); positive coefficient as printed; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Bathrooms,bathrooms,A_structural,log,count,0.0101,,0.6857,,,,,medium,Number of bathrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Bedrooms,bedrooms,A_structural,log,count,0.12,,6.3163,,,,,medium,Number of bedrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Dock,waterfront,C_exterior,dummy,binary,0.2231,,5.9027,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Square feet,living_area,A_structural,log,sqft,0.7053,,38.7594,,,,,medium,House square footage; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Central air,air_conditioning,A_structural,dummy,binary,0.0919,,5.6053,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Lot size,lot_size,A_structural,log,acres,0.012,,3.4345,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Adjacent golf,green_space,E_environment,dummy,binary,0.0395,,1.3148,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Distance fixed,green_space,E_environment,log,miles,-0.0289,,-16.0611,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Adjacent fixed,green_space,E_environment,dummy,binary,-0.1498,,-2.3457,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Distance historic,neighbourhood_amenities,F_neighbourhood,log,miles,-0.0265,,-2.5745,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.2972,,-2.6345,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Adjacent adjusted,other,other,dummy,binary,-0.3657,,-24.6169,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Distance railroad,other,other,log,miles,0.0483,,4.5809,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Distance water,water_proximity,E_environment,log,miles,0.0185,,2.648,,,,,medium,Distance to nearest open water; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c3,1,3 400-meter Contiguity,13,Adjacent water,waterfront,C_exterior,dummy,binary,0.265,,3.814,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.57,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Age,age,A_structural,log,years,0.0478,,12.0331,,,,,medium,Age of house (data section lists year built); positive coefficient as printed; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Bathrooms,bathrooms,A_structural,log,count,0.0134,,0.9073,,,,,medium,Number of bathrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Bedrooms,bedrooms,A_structural,log,count,0.1305,,7.4568,,,,,medium,Number of bedrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Dock,waterfront,C_exterior,dummy,binary,0.2198,,5.6961,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Square feet,living_area,A_structural,log,sqft,0.7546,,42.7783,,,,,medium,House square footage; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Central air,air_conditioning,A_structural,dummy,binary,0.0926,,5.6566,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Lot size,lot_size,A_structural,log,acres,0.0121,,3.6175,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Adjacent golf,green_space,E_environment,dummy,binary,-0.0061,,-0.2161,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Distance fixed,green_space,E_environment,log,miles,-0.0291,,-16.4908,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Adjacent fixed,green_space,E_environment,dummy,binary,-0.1727,,-2.6857,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Distance historic,neighbourhood_amenities,F_neighbourhood,log,miles,-0.0095,,-0.913,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1366,,-1.1847,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Adjacent adjusted,other,other,dummy,binary,-0.3649,,-24.8259,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Distance railroad,other,other,log,miles,0.0394,,3.6151,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Distance water,water_proximity,E_environment,log,miles,0.0274,,3.9995,,,,,medium,Distance to nearest open water; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T1-c4,1,4 600-meter Contiguity,13,Adjacent water,waterfront,C_exterior,dummy,binary,0.3246,,4.7136,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.55,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: 600-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Age,age,A_structural,level,years,0.0017,,4.5662,,,,,medium,Age of house (data section lists year built); positive coefficient as printed,log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Bathrooms,bathrooms,A_structural,level,count,0.0052,,0.7222,,,,,high,Number of bathrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Bedrooms,bedrooms,A_structural,level,count,0.0336,,13.0655,,,,,high,Number of bedrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Dock,waterfront,C_exterior,dummy,binary,0.27,,6.7807,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Square feet,living_area,A_structural,level,sqft,0.0002,,35.8411,,,,,high,House square footage,log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Central air,air_conditioning,A_structural,dummy,binary,0.1409,,7.9052,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Lot size,lot_size,A_structural,level,acres,0.0164,,1.4767,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table",log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Adjacent golf,green_space,E_environment,dummy,binary,0.1628,,6.1477,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Distance fixed,green_space,E_environment,level,miles,-1.3682,,-11.7357,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated",log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Adjacent fixed,green_space,E_environment,dummy,binary,-0.0374,,-0.5251,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Distance historic,neighbourhood_amenities,F_neighbourhood,level,miles,-0.0364,,-5.8955,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.017,,0.2389,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Adjacent adjusted,other,other,dummy,binary,-0.2399,,-25.4139,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Distance railroad,other,other,level,miles,0.0479,,7.5602,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Distance water,water_proximity,E_environment,level,miles,-0.0005,,-0.0355,,,,,medium,Distance to nearest open water; unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c1,2,1 Strict Contiguity,14,Adjacent water,waterfront,C_exterior,dummy,binary,0.1557,,4.6742,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.5236,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Strict Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Age,age,A_structural,level,years,0.0015,,3.7826,,,,,medium,Age of house (data section lists year built); positive coefficient as printed,log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Bathrooms,bathrooms,A_structural,level,count,0.0048,,0.6573,,,,,high,Number of bathrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Bedrooms,bedrooms,A_structural,level,count,0.0296,,11.4472,,,,,high,Number of bedrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Dock,waterfront,C_exterior,dummy,binary,0.2326,,6.0702,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Square feet,living_area,A_structural,level,sqft,0.0002,,29.6874,,,,,high,House square footage,log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Central air,air_conditioning,A_structural,dummy,binary,0.1412,,8.0795,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Lot size,lot_size,A_structural,level,acres,0.0247,,2.2378,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table",log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Adjacent golf,green_space,E_environment,dummy,binary,0.2005,,6.5199,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Distance fixed,green_space,E_environment,level,miles,-1.0616,,-9.1511,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated",log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Adjacent fixed,green_space,E_environment,dummy,binary,0.0028,,0.0381,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Distance historic,neighbourhood_amenities,F_neighbourhood,level,miles,-0.039,,-5.3752,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0202,,-0.2998,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Adjacent adjusted,other,other,dummy,binary,-0.2266,,-24.5871,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Distance railroad,other,other,level,miles,0.052,,7.0782,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Distance water,water_proximity,E_environment,level,miles,0.0019,,0.1194,,,,,medium,Distance to nearest open water; unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c2,2,2 200-meter Contiguity,14,Adjacent water,waterfront,C_exterior,dummy,binary,0.167,,5.1277,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.5418,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 200-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Age,age,A_structural,level,years,0.0005,,1.4055,,,,,medium,Age of house (data section lists year built); positive coefficient as printed,log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Bathrooms,bathrooms,A_structural,level,count,-0.0034,,-0.4631,,,,,high,Number of bathrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Bedrooms,bedrooms,A_structural,level,count,0.0354,,13.0245,,,,,high,Number of bedrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Dock,waterfront,C_exterior,dummy,binary,0.2801,,7.1615,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Square feet,living_area,A_structural,level,sqft,0.0002,,29.8074,,,,,high,House square footage,log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Central air,air_conditioning,A_structural,dummy,binary,0.1097,,6.1635,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Lot size,lot_size,A_structural,level,acres,0.0164,,1.4318,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table",log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Adjacent golf,green_space,E_environment,dummy,binary,0.1573,,5.0233,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Distance fixed,green_space,E_environment,level,miles,-1.0559,,-9.8384,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated",log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Adjacent fixed,green_space,E_environment,dummy,binary,-0.0427,,-0.6496,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Distance historic,neighbourhood_amenities,F_neighbourhood,level,miles,-0.032,,-3.2372,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0374,,0.574,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Adjacent adjusted,other,other,dummy,binary,-0.2217,,-24.6576,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Distance railroad,other,other,level,miles,0.0486,,4.8212,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Distance water,water_proximity,E_environment,level,miles,0.003,,0.1373,,,,,medium,Distance to nearest open water; unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c3,2,3 400-meter Contiguity,14,Adjacent water,waterfront,C_exterior,dummy,binary,0.193,,5.9676,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.5372,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 400-meter Contiguity"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Age,age,A_structural,level,years,0.0005,,1.4055,,,,,low,Age of house (data section lists year built); positive coefficient as printed; printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Bathrooms,bathrooms,A_structural,level,count,-0.0034,,-0.4631,,,,,low,Number of bathrooms; printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Bedrooms,bedrooms,A_structural,level,count,0.0354,,13.0245,,,,,low,Number of bedrooms; printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Dock,waterfront,C_exterior,dummy,binary,0.2801,,7.1615,,,,,low,Presence of a dock (water access); printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Square feet,living_area,A_structural,level,sqft,0.0002,,29.8074,,,,,low,House square footage; printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Central air,air_conditioning,A_structural,dummy,binary,0.1097,,6.1635,,,,,low,Presence of central air conditioning; printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Lot size,lot_size,A_structural,level,acres,0.0164,,1.4318,,,,,low,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table; printed column identical to 400-m column (probable typesetting error)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Adjacent golf,green_space,E_environment,dummy,binary,0.1573,,5.0233,,,,,low,Parcel shares a border with a golf course (fixed open space type); printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Distance fixed,green_space,E_environment,level,miles,-1.0559,,-9.8384,,,,,low,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated; printed column identical to 400-m column (probable typesetting error)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Adjacent fixed,green_space,E_environment,dummy,binary,-0.0427,,-0.6496,,,,,low,"Parcel adjacent to fixed open space (golf course, resource protection area or park); printed column identical to 400-m column (probable typesetting error)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Distance historic,neighbourhood_amenities,F_neighbourhood,level,miles,-0.032,,-3.2372,,,,,low,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles); printed column identical to 400-m column (probable typesetting error)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0374,,0.574,,,,,low,Parcel adjacent to a historic area; printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Adjacent adjusted,other,other,dummy,binary,-0.2217,,-24.6576,,,,,low,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year; printed column identical to 400-m column (probable typesetting error)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Distance railroad,other,other,level,miles,0.0486,,4.8212,,,,,low,Distance to nearest railroad line (disamenity); unit inferred (miles); printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Distance water,water_proximity,E_environment,level,miles,0.003,,0.1373,,,,,low,Distance to nearest open water; unit inferred (miles); printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T2-c4,2,4 600-meter Contiguity,14,Adjacent water,waterfront,C_exterior,dummy,binary,0.193,,5.9676,,,,,low,Parcel adjacent to open water; printed column identical to 400-m column (probable typesetting error),log sale price (2004 dollars),log,spatial_error,12337.0,0.5145,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: 600-meter Contiguity; printed values identical to column 3 (400 m) -- probable typesetting error"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Age,age,A_structural,log,years,0.0603,,14.9488,,,,,medium,Age of house (data section lists year built); positive coefficient as printed; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Bathrooms,bathrooms,A_structural,log,count,0.0142,,0.9694,,,,,medium,Number of bathrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Bedrooms,bedrooms,A_structural,log,count,0.1059,,5.3971,,,,,medium,Number of bedrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Dock,waterfront,C_exterior,dummy,binary,0.2008,,5.3418,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Square feet,living_area,A_structural,log,sqft,0.6713,,38.6585,,,,,medium,House square footage; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Central air,air_conditioning,A_structural,dummy,binary,0.1066,,6.4215,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Lot size,lot_size,A_structural,log,acres,0.016,,3.8439,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Adjacent golf,green_space,E_environment,dummy,binary,0.033,,1.0085,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Distance fixed,green_space,E_environment,log,miles,-0.0294,,-15.9305,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Adjacent fixed,green_space,E_environment,dummy,binary,-0.18,,-2.7616,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Distance historic,neighbourhood_amenities,F_neighbourhood,log,miles,-0.0076,,-0.6301,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1041,,-0.83,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Adjacent adjusted,other,other,dummy,binary,-0.3739,,-24.8995,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Distance railroad,other,other,log,miles,0.0524,,4.043,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Distance water,water_proximity,E_environment,log,miles,0.0285,,3.6211,,,,,medium,Distance to nearest open water; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c1,3,"1 Log linear, 600 m 1/distance",15,Adjacent water,waterfront,C_exterior,dummy,binary,0.3598,,4.7185,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.5682,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Age,age,A_structural,log,years,0.0679,,16.6913,,,,,medium,Age of house (data section lists year built); positive coefficient as printed; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Bathrooms,bathrooms,A_structural,log,count,0.0213,,1.4479,,,,,medium,Number of bathrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Bedrooms,bedrooms,A_structural,log,count,0.0883,,4.619,,,,,medium,Number of bedrooms; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Dock,waterfront,C_exterior,dummy,binary,0.1933,,5.1092,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Square feet,living_area,A_structural,log,sqft,0.6849,,39.1968,,,,,medium,House square footage; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Central air,air_conditioning,A_structural,dummy,binary,0.1141,,6.9647,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Lot size,lot_size,A_structural,log,acres,0.0082,,2.2801,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Adjacent golf,green_space,E_environment,dummy,binary,0.0278,,0.9556,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Distance fixed,green_space,E_environment,log,miles,-0.0312,,-16.2618,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated; entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Adjacent fixed,green_space,E_environment,dummy,binary,-0.165,,-2.4259,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Distance historic,neighbourhood_amenities,F_neighbourhood,log,miles,-0.0426,,-4.7608,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity)",log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.441,,-4.1709,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Adjacent adjusted,other,other,dummy,binary,-0.39,,-25.165,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Distance railroad,other,other,log,miles,0.0641,,6.9113,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Distance water,water_proximity,E_environment,log,miles,0.0291,,4.4791,,,,,medium,Distance to nearest open water; unit inferred (miles); entered in logarithm (inferred from 'log linear' model label; square-feet coefficient is an elasticity),log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c2,3,"2 Log linear, 600 m 1/distance^2",15,Adjacent water,waterfront,C_exterior,dummy,binary,0.3419,,5.0645,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.584,t,"Log-linear functional form (continuous regressors in logs); spatial error model, weight matrix: Log linear, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Age,age,A_structural,level,years,0.0008,,1.9952,,,,,medium,Age of house (data section lists year built); positive coefficient as printed,log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Bathrooms,bathrooms,A_structural,level,count,0.0002,,0.0288,,,,,high,Number of bathrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Bedrooms,bedrooms,A_structural,level,count,0.0299,,10.697,,,,,high,Number of bedrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Dock,waterfront,C_exterior,dummy,binary,0.2597,,6.6802,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Square feet,living_area,A_structural,level,sqft,0.0002,,26.4267,,,,,high,House square footage,log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Central air,air_conditioning,A_structural,dummy,binary,0.1196,,6.7155,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Lot size,lot_size,A_structural,level,acres,0.0186,,1.57,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table",log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Adjacent golf,green_space,E_environment,dummy,binary,0.1443,,4.2511,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Distance fixed,green_space,E_environment,level,miles,-1.0972,,-9.5646,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated",log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Adjacent fixed,green_space,E_environment,dummy,binary,-0.0883,,-1.3155,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Distance historic,neighbourhood_amenities,F_neighbourhood,level,miles,-0.026,,-2.1335,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0642,,0.9276,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Adjacent adjusted,other,other,dummy,binary,-0.2304,,-25.0725,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Distance railroad,other,other,level,miles,0.0543,,4.2643,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Distance water,water_proximity,E_environment,level,miles,0.0185,,0.6811,,,,,medium,Distance to nearest open water; unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c3,3,"3 Semi-log, 600 m 1/distance",15,Adjacent water,waterfront,C_exterior,dummy,binary,0.1963,,5.8833,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.5571,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Age,age,A_structural,level,years,0.0015,,3.7181,,,,,medium,Age of house (data section lists year built); positive coefficient as printed,log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Bathrooms,bathrooms,A_structural,level,count,0.0047,,0.6598,,,,,high,Number of bathrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Bedrooms,bedrooms,A_structural,level,count,0.0262,,10.1092,,,,,high,Number of bedrooms,log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Dock,waterfront,C_exterior,dummy,binary,0.2494,,6.3897,,,,,high,Presence of a dock (water access),log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Square feet,living_area,A_structural,level,sqft,0.0002,,30.1076,,,,,high,House square footage,log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Central air,air_conditioning,A_structural,dummy,binary,0.134,,7.7014,,,,,high,Presence of central air conditioning,log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Lot size,lot_size,A_structural,level,acres,0.0157,,1.3638,,,,,medium,"Lot size; unit (acres) inferred from the 0.10-acre price-change exercise, not stated in table",log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Adjacent golf,green_space,E_environment,dummy,binary,0.1643,,5.3385,,,,,high,Parcel shares a border with a golf course (fixed open space type),log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Distance fixed,green_space,E_environment,level,miles,-1.1832,,-9.7271,,,,,medium,"Distance to nearest fixed open space (parks, large water bodies, golf courses); unit inferred (miles), not stated",log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Adjacent fixed,green_space,E_environment,dummy,binary,-0.0725,,-1.031,,,,,high,"Parcel adjacent to fixed open space (golf course, resource protection area or park)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Distance historic,neighbourhood_amenities,F_neighbourhood,level,miles,-0.0357,,-4.6262,,,,,medium,"Distance to nearest historic area (Jamestown, Yorktown, Colonial Williamsburg etc.); cultural amenity; unit inferred (miles)",log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Adjacent historic,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0506,,0.7207,,,,,high,Parcel adjacent to a historic area,log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Adjacent adjusted,other,other,dummy,binary,-0.2365,,-25.0276,,,,,high,"Parcel adjacent to adjustable (developable: vacant, agricultural) open space, lagged one year",log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Distance railroad,other,other,level,miles,0.0516,,6.6416,,,,,medium,Distance to nearest railroad line (disamenity); unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Distance water,water_proximity,E_environment,level,miles,0.0026,,0.1546,,,,,medium,Distance to nearest open water; unit inferred (miles),log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec,2bbdabdc28e5b845377e3ce418d4b3325d2d76ec:T3-c4,3,"4 Semi-log, 600 m 1/distance^2",15,Adjacent water,waterfront,C_exterior,dummy,binary,0.181,,5.3169,,,,,high,Parcel adjacent to open water,log sale price (2004 dollars),log,spatial_error,12337.0,0.5563,t,"Semi-log functional form (regressors in levels); spatial error model, weight matrix: Semi-log, 600 m 1/distance^2"
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c2,slide 16 'Regression results',Sales particular features,16,Foreclosure sale,foreclosure,G_market,dummy,binary,-0.1156,,,,***,,,medium,"Resale was a foreclosure sale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.908,none,Adds sale-condition dummies; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c2,slide 16 'Regression results',Sales particular features,16,Risk sale,distressed_sale,G_market,dummy,binary,-0.0754,,,,***,,,medium,"'Risk sale' (sale under risk conditions; not further defined on slides); stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.908,none,Adds sale-condition dummies; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c2,slide 16 'Regression results',Sales particular features,16,Succession sale,distressed_sale,G_market,dummy,binary,-0.0821,,,,***,,,medium,"Estate/succession sale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.908,none,Adds sale-condition dummies; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c2,slide 16 'Regression results',Sales particular features,16,Transfer sale,distressed_sale,G_market,dummy,binary,-0.0185,,,,***,,,medium,"Transfer sale (e.g. between related parties/relocation; not defined on slides); stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.908,none,Adds sale-condition dummies; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c3,slide 16 'Regression results',Spatio-temporal on-foot accessibility indices,16,Foreclosure sale,foreclosure,G_market,dummy,binary,-0.1156,,,,***,,,medium,"Resale was a foreclosure sale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9081,none,Adds walking-distance buffer dummies to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c3,slide 16 'Regression results',Spatio-temporal on-foot accessibility indices,16,Risk sale,distressed_sale,G_market,dummy,binary,-0.0755,,,,***,,,medium,"'Risk sale' (sale under risk conditions; not further defined on slides); stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9081,none,Adds walking-distance buffer dummies to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c3,slide 16 'Regression results',Spatio-temporal on-foot accessibility indices,16,Succession sale,distressed_sale,G_market,dummy,binary,-0.0813,,,,***,,,medium,"Estate/succession sale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9081,none,Adds walking-distance buffer dummies to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c3,slide 16 'Regression results',Spatio-temporal on-foot accessibility indices,16,Transfer sale,distressed_sale,G_market,dummy,binary,-0.0185,,,,***,,,medium,"Transfer sale (e.g. between related parties/relocation; not defined on slides); stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9081,none,Adds walking-distance buffer dummies to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c3,slide 16 'Regression results',Spatio-temporal on-foot accessibility indices,16,Within 0 to 500 m. walking distance,transit_distance,D_location,dummy,binary,0.0556,,,,,,,medium,"House within 0-500 m walking distance of a commuter rail station opened between sale and resale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9081,none,Adds walking-distance buffer dummies to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c3,slide 16 'Regression results',Spatio-temporal on-foot accessibility indices,16,"Within 500 to 1,000 m. walking distance",transit_distance,D_location,dummy,binary,0.0305,,,,*,,,medium,"House within 500-1,000 m walking distance of a station; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9081,none,Adds walking-distance buffer dummies to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c3,slide 16 'Regression results',Spatio-temporal on-foot accessibility indices,16,"Within 1,000 to 1,500 m. walking distance",transit_distance,D_location,dummy,binary,0.043,,,,***,,,medium,"House within 1,000-1,500 m walking distance of a station; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9081,none,Adds walking-distance buffer dummies to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,Foreclosure sale,foreclosure,G_market,dummy,binary,-0.1154,,,,***,,,medium,"Resale was a foreclosure sale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,Risk sale,distressed_sale,G_market,dummy,binary,-0.0756,,,,***,,,medium,"'Risk sale' (sale under risk conditions; not further defined on slides); stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,Succession sale,distressed_sale,G_market,dummy,binary,-0.0813,,,,***,,,medium,"Estate/succession sale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,Transfer sale,distressed_sale,G_market,dummy,binary,-0.0184,,,,***,,,medium,"Transfer sale (e.g. between related parties/relocation; not defined on slides); stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,Within 0 to 500 m. walking distance,transit_distance,D_location,dummy,binary,0.0475,,,,,,,medium,"House within 0-500 m walking distance of a commuter rail station opened between sale and resale; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,"Within 500 to 1,000 m. walking distance",transit_distance,D_location,dummy,binary,0.022,,,,,,,medium,"House within 500-1,000 m walking distance of a station; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,"Within 1,000 to 1,500 m. walking distance",transit_distance,D_location,dummy,binary,0.035,,,,***,,,medium,"House within 1,000-1,500 m walking distance of a station; stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba,2d5062b633e25ceaf8877d3b26abf6c4fd403dba:T16-c4,slide 16 'Regression results',Spatio-temporal on-foot and car accessibility indices,16,Driving time accessibility improvment (in min.),transit_distance,D_location,level,minutes,-0.0007,,,,***,,,medium,"Improvement in car travel time to nearest station between sale and resale, in minutes (negative sign = price rises as travel time falls); stars only (*** p<0.001, ** p<0.01, * p<0.05), no SE printed; differenced repeat-sales specification",log resale price - log sale price (repeat-sales difference),log,other,26366.0,0.9082,none,Adds car travel-time improvement to nearest station; repeat-sales DID on single-family sale-resale pairs
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x1 (Carpet area),living_area,A_structural,level,sqft,0.085,,3.645,0.0,**,,,high,Usable (carpet) area in square feet,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x2 (Floor),floor_level,A_structural,level,count,17.03,,3.483,0.001,**,,,high,Floor on which the home is located,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x3 (Total floors),storeys,A_structural,level,count,29.62,,8.702,0.0,**,,,high,Total floors of the building,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x4 (Transaction),age,A_structural,dummy,"binary (1 = new property, 0 = resale)",-314.184,,-6.454,0.0,**,,,high,"New-property vs resale dummy, not an age in years; mapped to age as a dummy (x_transform dummy); negative = new property cheaper","Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x5 (Furnishing),other,other,other,"ordinal 0-2 (0 unfurnished, 1 semi-furnished, 2 furnished)",353.179,,12.373,0.0,**,,,high,Furnishing status ordinal; taxonomy other,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x6 (Facing),sunlight,E_environment,other,"nominal code 0-7 (E, W, N, S, SW, NE, NW, SE)",28.751,,2.18,0.029,*,,,medium,Orientation entered as an arbitrary nominal code 0-7; coefficient not interpretable,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x7 (Bathrooms),bathrooms,A_structural,level,count,431.747,,11.769,0.0,**,,,high,Number of bathrooms,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x8 (Balconies),terrace_balcony,C_exterior,level,count,134.352,,4.934,0.0,**,,,high,Number of balconies,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x9 (Car parking),parking,A_structural,other,"ordinal code 0-3 (1 open, 1 covered, 2 open, 2 covered)",403.357,,12.619,0.0,**,,,high,Car parking entered as a coded variable 0-3 mixing count and covered/open,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b,309364b6d8361dba9a9e751b55ade4c452cd784b:T3-c1,3,1,6,x10 (Ownership),other,other,other,"nominal code 0-3 (freehold, co-operative society, power of attorney, leasehold)",73.178,,3.032,0.002,**,,,medium,Ownership/tenure type as nominal code; taxonomy other,"Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",level,OLS,900.0,0.74,t,"Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-A,4,A,15,Tested,water_quality,E_environment,binary,binary,-0.0239,0.0189,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,OLS,1730.0,0.7981,se,"Base model, OLS; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-B,4,B,15,Tested,water_quality,E_environment,binary,binary,0.0021,0.0188,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,FE_panel,1730.0,0.7701,se,"Base model, census block-group fixed effects (65 FE); wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-C,4,C,15,Tested,water_quality,E_environment,binary,binary,-0.022,0.0172,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8001,se,"Base model, spatial error model; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-D,4,D,15,Tested,water_quality,E_environment,binary,binary,0.0022,0.017,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8224,se,"Base model, spatial error model + block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-A1,4,A1,15,Tested,water_quality,E_environment,binary,binary,-0.0239,0.0189,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,OLS,1730.0,0.7981,se,"Base model plus Tested x Above MCL interaction, OLS; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-B1,4,B1,15,Tested,water_quality,E_environment,binary,binary,0.002,0.0189,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,FE_panel,1730.0,0.7702,se,"Plus Tested x Above MCL, block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-C1,4,C1,15,Tested,water_quality,E_environment,binary,binary,-0.022,0.0172,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8001,se,"Plus Tested x Above MCL, spatial error model; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-D1,4,D1,15,Tested,water_quality,E_environment,binary,binary,0.002,0.017,,,,,,high,Private well tested for contamination within 3 years prior to sale (any result),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8224,se,"Plus Tested x Above MCL, SEM + block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-A,4,A,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.0146,0.0181,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,OLS,1730.0,0.7981,se,"Base model, OLS; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-B,4,B,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.0276,0.0173,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,FE_panel,1730.0,0.7701,se,"Base model, census block-group fixed effects (65 FE); wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-C,4,C,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.015,0.0182,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8001,se,"Base model, spatial error model; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-D,4,D,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.0277,0.0179,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8224,se,"Base model, spatial error model + block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-A1,4,A1,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.0145,0.0181,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,OLS,1730.0,0.7981,se,"Base model plus Tested x Above MCL interaction, OLS; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-B1,4,B1,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.0288,0.0177,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,FE_panel,1730.0,0.7702,se,"Plus Tested x Above MCL, block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-C1,4,C1,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.015,0.0185,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8001,se,"Plus Tested x Above MCL, spatial error model; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-D1,4,D1,15,Tested x Above DL,water_quality,E_environment,other,binary,-0.0289,0.0181,,,,,,high,Interaction: tested within 3 years x contaminant concentration above detectable limit (incremental effect of contamination),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8224,se,"Plus Tested x Above MCL, SEM + block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-A1,4,A1,15,Tested x Above MCL,water_quality,E_environment,other,binary,-0.0007,0.04,,,,,,high,Interaction: tested x concentration above maximum contaminant level / health advisory level (additional increment),ln real transaction price (2013 USD),log,OLS,1730.0,0.7981,se,"Base model plus Tested x Above MCL interaction, OLS; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-B1,4,B1,15,Tested x Above MCL,water_quality,E_environment,other,binary,0.0153,0.0379,,,,,,high,Interaction: tested x concentration above maximum contaminant level / health advisory level (additional increment),ln real transaction price (2013 USD),log,FE_panel,1730.0,0.7702,se,"Plus Tested x Above MCL, block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-C1,4,C1,15,Tested x Above MCL,water_quality,E_environment,other,binary,-0.0004,0.0367,,,,,,high,Interaction: tested x concentration above maximum contaminant level / health advisory level (additional increment),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8001,se,"Plus Tested x Above MCL, spatial error model; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-D1,4,D1,15,Tested x Above MCL,water_quality,E_environment,other,binary,0.0155,0.0354,,,,,,high,Interaction: tested x concentration above maximum contaminant level / health advisory level (additional increment),ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8224,se,"Plus Tested x Above MCL, SEM + block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-A,4,A,15,%DeltapDL,water_quality,E_environment,other,percent,-3.77,1.32,,,***,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,OLS,1730.0,0.7981,se,"Base model, OLS; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-B,4,B,15,%DeltapDL,water_quality,E_environment,other,percent,-2.52,1.23,,,**,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,FE_panel,1730.0,0.7701,se,"Base model, census block-group fixed effects (65 FE); wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-C,4,C,15,%DeltapDL,water_quality,E_environment,other,percent,-3.63,1.31,,,***,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8001,se,"Base model, spatial error model; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-D,4,D,15,%DeltapDL,water_quality,E_environment,other,percent,-2.52,1.33,,,*,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8224,se,"Base model, spatial error model + block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-A1,4,A1,15,%DeltapDL,water_quality,E_environment,other,percent,-3.77,1.35,,,***,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,OLS,1730.0,0.7981,se,"Base model plus Tested x Above MCL interaction, OLS; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-B1,4,B1,15,%DeltapDL,water_quality,E_environment,other,percent,-2.65,1.33,,,**,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,FE_panel,1730.0,0.7702,se,"Plus Tested x Above MCL, block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-C1,4,C1,15,%DeltapDL,water_quality,E_environment,other,percent,-3.63,1.35,,,***,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8001,se,"Plus Tested x Above MCL, spatial error model; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f,3244bfbe46126d82d9734bb6ef3476cad91ccc3f:T4-D1,4,D1,15,%DeltapDL,water_quality,E_environment,other,percent,-2.65,1.36,,,**,,,high,Derived joint percentage price change for a home tested within 3 years with contamination above detectable limit vs untested home (eq. 5: 100[exp(theta_test+theta_DL)-1]); delta-method SE,ln real transaction price (2013 USD),log,spatial_error,1730.0,0.8224,se,"Plus Tested x Above MCL, SEM + block-group FE; wells tested 0-3 years prior to sale; year and quarter dummies; full Table 3 controls included but not printed"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,Freehold (r),other,other,binary,binary,0.12,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,New-built (n),age,A_structural,dummy,binary,0.228,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,Detached (d),dwelling_type,A_structural,binary,binary,0.651,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.468,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,Terraced (t),dwelling_type,A_structural,binary,binary,0.36,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,Distance to CBD (z),cbd_distance,D_location,level,m,0.035,0.004,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c1,3,1,7,Number of bus stops (δ),transit_distance,D_location,level,count,0.003,0.001,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 300 m,"log(p), natural log of property sale price (GBP)",log,OLS,9655.0,0.85,se,Model 1: bus stops counted within 300 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,Freehold (r),other,other,binary,binary,0.121,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,New-built (n),age,A_structural,dummy,binary,0.23,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,Detached (d),dwelling_type,A_structural,binary,binary,0.654,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.471,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,Terraced (t),dwelling_type,A_structural,binary,binary,0.361,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,Distance to CBD (z),cbd_distance,D_location,level,m,0.038,0.004,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c2,3,2,7,Number of bus stops (δ),transit_distance,D_location,level,count,0.003,0.001,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 400 m,"log(p), natural log of property sale price (GBP)",log,OLS,9650.0,0.85,se,Model 2: bus stops counted within 400 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,Freehold (r),other,other,binary,binary,0.123,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,New-built (n),age,A_structural,dummy,binary,0.232,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,Detached (d),dwelling_type,A_structural,binary,binary,0.654,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.469,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,Terraced (t),dwelling_type,A_structural,binary,binary,0.359,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,Distance to CBD (z),cbd_distance,D_location,level,m,0.042,0.004,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c3,3,3,7,Number of bus stops (δ),transit_distance,D_location,level,count,0.003,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 500 m,"log(p), natural log of property sale price (GBP)",log,OLS,9656.0,0.85,se,Model 3: bus stops counted within 500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,Freehold (r),other,other,binary,binary,0.126,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,New-built (n),age,A_structural,dummy,binary,0.23,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,Detached (d),dwelling_type,A_structural,binary,binary,0.647,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.465,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,Terraced (t),dwelling_type,A_structural,binary,binary,0.356,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,Distance to CBD (z),cbd_distance,D_location,level,m,0.046,0.005,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c4,3,4,7,Number of bus stops (δ),transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 750 m,"log(p), natural log of property sale price (GBP)",log,OLS,9653.0,0.851,se,Model 4: bus stops counted within 750 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,Freehold (r),other,other,binary,binary,0.127,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,New-built (n),age,A_structural,dummy,binary,0.237,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,Detached (d),dwelling_type,A_structural,binary,binary,0.644,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.464,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,Terraced (t),dwelling_type,A_structural,binary,binary,0.354,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,Distance to CBD (z),cbd_distance,D_location,level,m,0.055,0.005,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c5,3,5,7,Number of bus stops (δ),transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 1000 m,"log(p), natural log of property sale price (GBP)",log,OLS,9659.0,0.85,se,Model 5: bus stops counted within 1000 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,Freehold (r),other,other,binary,binary,0.125,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,New-built (n),age,A_structural,dummy,binary,0.217,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,Detached (d),dwelling_type,A_structural,binary,binary,0.645,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.465,0.015,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,Terraced (t),dwelling_type,A_structural,binary,binary,0.357,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,Distance to CBD (z),cbd_distance,D_location,level,m,0.066,0.007,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T3-c6,3,6,7,Number of bus stops (δ),transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 1500 m,"log(p), natural log of property sale price (GBP)",log,OLS,9669.0,0.849,se,Model 6: bus stops counted within 1500 m; year and ward dummies included
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,Freehold (r),other,other,binary,binary,0.116,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,New-built (n),age,A_structural,dummy,binary,0.221,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,Detached (d),dwelling_type,A_structural,binary,binary,0.659,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.476,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,Terraced (t),dwelling_type,A_structural,binary,binary,0.369,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,Distance to CBD (z),cbd_distance,D_location,level,m,0.035,0.004,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c1,5,1,9,Number of bus stops (δ),transit_distance,D_location,level,count,0.003,0.001,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 300 m,"log(p), natural log of property sale price (GBP)",log,other,9655.0,,se,"Model 7: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 300 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,Freehold (r),other,other,binary,binary,0.117,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,New-built (n),age,A_structural,dummy,binary,0.223,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,Detached (d),dwelling_type,A_structural,binary,binary,0.662,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.48,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,Terraced (t),dwelling_type,A_structural,binary,binary,0.371,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,Distance to CBD (z),cbd_distance,D_location,level,m,0.038,0.004,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c2,5,2,9,Number of bus stops (δ),transit_distance,D_location,level,count,0.003,0.001,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 400 m,"log(p), natural log of property sale price (GBP)",log,other,9650.0,,se,"Model 8: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 400 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,Freehold (r),other,other,binary,binary,0.119,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,New-built (n),age,A_structural,dummy,binary,0.224,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,Detached (d),dwelling_type,A_structural,binary,binary,0.663,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.478,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,Terraced (t),dwelling_type,A_structural,binary,binary,0.37,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,Distance to CBD (z),cbd_distance,D_location,level,m,0.042,0.004,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c3,5,3,9,Number of bus stops (δ),transit_distance,D_location,level,count,0.003,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 500 m,"log(p), natural log of property sale price (GBP)",log,other,9656.0,,se,"Model 9: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,Freehold (r),other,other,binary,binary,0.122,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,New-built (n),age,A_structural,dummy,binary,0.221,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,Detached (d),dwelling_type,A_structural,binary,binary,0.655,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.473,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,Terraced (t),dwelling_type,A_structural,binary,binary,0.366,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,Distance to CBD (z),cbd_distance,D_location,level,m,0.045,0.005,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c4,5,4,9,Number of bus stops (δ),transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 750 m,"log(p), natural log of property sale price (GBP)",log,other,9653.0,,se,"Model 10: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 750 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,Freehold (r),other,other,binary,binary,0.123,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,New-built (n),age,A_structural,dummy,binary,0.226,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,Detached (d),dwelling_type,A_structural,binary,binary,0.653,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.472,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,Terraced (t),dwelling_type,A_structural,binary,binary,0.364,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,Distance to CBD (z),cbd_distance,D_location,level,m,0.054,0.005,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c5,5,5,9,Number of bus stops (δ),transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 1000 m,"log(p), natural log of property sale price (GBP)",log,other,9659.0,,se,"Model 11: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1000 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,Freehold (r),other,other,binary,binary,0.121,0.009,,,***,,,high,Freehold tenure (vs leasehold); no taxonomy leaf -> other,"log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,New-built (n),age,A_structural,dummy,binary,0.208,0.013,,,***,,,high,"Dummy = 1 if newly built when sold; mapped to age as a new-build dummy, not years","log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,Detached (d),dwelling_type,A_structural,binary,binary,0.654,0.016,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,Semi-detached (s),dwelling_type,A_structural,binary,binary,0.474,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,Terraced (t),dwelling_type,A_structural,binary,binary,0.367,0.014,,,***,,,high,Reference category = flat,"log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,Floor area (f),living_area,A_structural,level,m2,0.004,0.0,,,***,,,high,Floor area in square metres (Table 1); s.e. printed as 0.000 (rounded),"log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,Distance to CBD (z),cbd_distance,D_location,level,m,0.065,0.007,,,***,,,medium,"Table 1 defines z as distance to CBD in metres (mean 3225 m), but coefficient magnitude (0.035-0.066) implies the regression used km; unit ambiguous. Positive sign (polycentric city).","log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T5-c6,5,6,9,Number of bus stops (δ),transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,Count of bus stops within the stated radius of the property (not a distance); radius differs by model; radius 1500 m,"log(p), natural log of property sale price (GBP)",log,other,9669.0,,se,"Model 12: multilevel model (random intercepts for ward and year, MLwiN); bus stops counted within 1500 m"
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q10-c1,6,"1 (δ300m), row 10% quantile",10,δ300m,transit_distance,D_location,level,count,-0.004,0.003,,,,,,high,"Count of bus stops within 300 m; bivariate quantile regression (10% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 10% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q10-c2,6,"2 (δ400m), row 10% quantile",10,δ400m,transit_distance,D_location,level,count,0.001,0.002,,,,,,high,"Count of bus stops within 400 m; bivariate quantile regression (10% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 10% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q10-c3,6,"3 (δ500m), row 10% quantile",10,δ500m,transit_distance,D_location,level,count,0.007,0.002,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (10% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 10% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q10-c4,6,"4 (δ750m), row 10% quantile",10,δ750m,transit_distance,D_location,level,count,0.004,0.001,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (10% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 10% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q10-c5,6,"5 (δ1000m), row 10% quantile",10,δ1000m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (10% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 10% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q10-c6,6,"6 (δ1500m), row 10% quantile",10,δ1500m,transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (10% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 10% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q20-c1,6,"1 (δ300m), row 20% quantile",10,δ300m,transit_distance,D_location,level,count,0.004,0.003,,,,,,high,"Count of bus stops within 300 m; bivariate quantile regression (20% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 20% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q20-c2,6,"2 (δ400m), row 20% quantile",10,δ400m,transit_distance,D_location,level,count,0.003,0.002,,,*,,,high,"Count of bus stops within 400 m; bivariate quantile regression (20% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 20% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q20-c3,6,"3 (δ500m), row 20% quantile",10,δ500m,transit_distance,D_location,level,count,0.005,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (20% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 20% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q20-c4,6,"4 (δ750m), row 20% quantile",10,δ750m,transit_distance,D_location,level,count,0.003,0.0,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (20% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 20% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q20-c5,6,"5 (δ1000m), row 20% quantile",10,δ1000m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (20% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 20% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q20-c6,6,"6 (δ1500m), row 20% quantile",10,δ1500m,transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (20% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 20% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q30-c1,6,"1 (δ300m), row 30% quantile",10,δ300m,transit_distance,D_location,level,count,0.011,0.002,,,***,,,high,"Count of bus stops within 300 m; bivariate quantile regression (30% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 30% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q30-c2,6,"2 (δ400m), row 30% quantile",10,δ400m,transit_distance,D_location,level,count,0.007,0.002,,,***,,,high,"Count of bus stops within 400 m; bivariate quantile regression (30% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 30% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q30-c3,6,"3 (δ500m), row 30% quantile",10,δ500m,transit_distance,D_location,level,count,0.007,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (30% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 30% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q30-c4,6,"4 (δ750m), row 30% quantile",10,δ750m,transit_distance,D_location,level,count,0.003,0.001,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (30% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 30% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q30-c5,6,"5 (δ1000m), row 30% quantile",10,δ1000m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (30% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 30% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q30-c6,6,"6 (δ1500m), row 30% quantile",10,δ1500m,transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (30% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 30% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q40-c1,6,"1 (δ300m), row 40% quantile",10,δ300m,transit_distance,D_location,level,count,0.013,0.002,,,***,,,high,"Count of bus stops within 300 m; bivariate quantile regression (40% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 40% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q40-c2,6,"2 (δ400m), row 40% quantile",10,δ400m,transit_distance,D_location,level,count,0.009,0.001,,,***,,,high,"Count of bus stops within 400 m; bivariate quantile regression (40% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 40% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q40-c3,6,"3 (δ500m), row 40% quantile",10,δ500m,transit_distance,D_location,level,count,0.009,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (40% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 40% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q40-c4,6,"4 (δ750m), row 40% quantile",10,δ750m,transit_distance,D_location,level,count,0.004,0.001,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (40% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 40% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q40-c5,6,"5 (δ1000m), row 40% quantile",10,δ1000m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (40% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 40% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q40-c6,6,"6 (δ1500m), row 40% quantile",10,δ1500m,transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (40% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 40% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q50-c1,6,"1 (δ300m), row 50% quantile",10,δ300m,transit_distance,D_location,level,count,0.013,0.001,,,***,,,high,"Count of bus stops within 300 m; bivariate quantile regression (50% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 50% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q50-c2,6,"2 (δ400m), row 50% quantile",10,δ400m,transit_distance,D_location,level,count,0.013,0.001,,,***,,,high,"Count of bus stops within 400 m; bivariate quantile regression (50% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 50% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q50-c3,6,"3 (δ500m), row 50% quantile",10,δ500m,transit_distance,D_location,level,count,0.009,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (50% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 50% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q50-c4,6,"4 (δ750m), row 50% quantile",10,δ750m,transit_distance,D_location,level,count,0.004,0.0,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (50% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 50% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q50-c5,6,"5 (δ1000m), row 50% quantile",10,δ1000m,transit_distance,D_location,level,count,0.003,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (50% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 50% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q50-c6,6,"6 (δ1500m), row 50% quantile",10,δ1500m,transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (50% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 50% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q60-c1,6,"1 (δ300m), row 60% quantile",10,δ300m,transit_distance,D_location,level,count,0.01,0.002,,,***,,,high,"Count of bus stops within 300 m; bivariate quantile regression (60% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 60% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q60-c2,6,"2 (δ400m), row 60% quantile",10,δ400m,transit_distance,D_location,level,count,0.01,0.002,,,***,,,high,"Count of bus stops within 400 m; bivariate quantile regression (60% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 60% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q60-c3,6,"3 (δ500m), row 60% quantile",10,δ500m,transit_distance,D_location,level,count,0.009,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (60% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 60% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q60-c4,6,"4 (δ750m), row 60% quantile",10,δ750m,transit_distance,D_location,level,count,0.004,0.0,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (60% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 60% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q60-c5,6,"5 (δ1000m), row 60% quantile",10,δ1000m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (60% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 60% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q60-c6,6,"6 (δ1500m), row 60% quantile",10,δ1500m,transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (60% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 60% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q70-c1,6,"1 (δ300m), row 70% quantile",10,δ300m,transit_distance,D_location,level,count,0.013,0.002,,,***,,,high,"Count of bus stops within 300 m; bivariate quantile regression (70% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 70% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q70-c2,6,"2 (δ400m), row 70% quantile",10,δ400m,transit_distance,D_location,level,count,0.013,0.002,,,***,,,high,"Count of bus stops within 400 m; bivariate quantile regression (70% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 70% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q70-c3,6,"3 (δ500m), row 70% quantile",10,δ500m,transit_distance,D_location,level,count,0.008,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (70% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 70% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q70-c4,6,"4 (δ750m), row 70% quantile",10,δ750m,transit_distance,D_location,level,count,0.003,0.0,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (70% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 70% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q70-c5,6,"5 (δ1000m), row 70% quantile",10,δ1000m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (70% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 70% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q70-c6,6,"6 (δ1500m), row 70% quantile",10,δ1500m,transit_distance,D_location,level,count,0.001,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (70% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 70% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q80-c1,6,"1 (δ300m), row 80% quantile",10,δ300m,transit_distance,D_location,level,count,0.02,0.002,,,***,,,high,"Count of bus stops within 300 m; bivariate quantile regression (80% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 80% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q80-c2,6,"2 (δ400m), row 80% quantile",10,δ400m,transit_distance,D_location,level,count,0.02,0.002,,,***,,,high,"Count of bus stops within 400 m; bivariate quantile regression (80% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 80% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q80-c3,6,"3 (δ500m), row 80% quantile",10,δ500m,transit_distance,D_location,level,count,0.01,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (80% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 80% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q80-c4,6,"4 (δ750m), row 80% quantile",10,δ750m,transit_distance,D_location,level,count,0.005,0.001,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (80% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 80% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q80-c5,6,"5 (δ1000m), row 80% quantile",10,δ1000m,transit_distance,D_location,level,count,0.003,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (80% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 80% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q80-c6,6,"6 (δ1500m), row 80% quantile",10,δ1500m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (80% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 80% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q90-c1,6,"1 (δ300m), row 90% quantile",10,δ300m,transit_distance,D_location,level,count,0.011,0.002,,,***,,,high,"Count of bus stops within 300 m; bivariate quantile regression (90% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 90% quantile; single regressor = number of bus stops within 300 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q90-c2,6,"2 (δ400m), row 90% quantile",10,δ400m,transit_distance,D_location,level,count,0.011,0.002,,,***,,,high,"Count of bus stops within 400 m; bivariate quantile regression (90% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 90% quantile; single regressor = number of bus stops within 400 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q90-c3,6,"3 (δ500m), row 90% quantile",10,δ500m,transit_distance,D_location,level,count,0.008,0.001,,,***,,,high,"Count of bus stops within 500 m; bivariate quantile regression (90% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 90% quantile; single regressor = number of bus stops within 500 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q90-c4,6,"4 (δ750m), row 90% quantile",10,δ750m,transit_distance,D_location,level,count,0.005,0.001,,,***,,,high,"Count of bus stops within 750 m; bivariate quantile regression (90% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 90% quantile; single regressor = number of bus stops within 750 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q90-c5,6,"5 (δ1000m), row 90% quantile",10,δ1000m,transit_distance,D_location,level,count,0.003,0.0,,,***,,,high,"Count of bus stops within 1000 m; bivariate quantile regression (90% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 90% quantile; single regressor = number of bus stops within 1000 m; no other controls (post hoc calibration)
327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee,327115a5186cc436d1749ca2acaa98314f882fee:T6-q90-c6,6,"6 (δ1500m), row 90% quantile",10,δ1500m,transit_distance,D_location,level,count,0.002,0.0,,,***,,,high,"Count of bus stops within 1500 m; bivariate quantile regression (90% quantile), no controls. Column header for the 6th column is misprinted 'δ750 m' in the PDF but corresponds to 1500 m per the text/order.","log(p), natural log of property sale price (GBP)",log,quantile,9669.0,,se,Bivariate quantile regression at the 90% quantile; single regressor = number of bus stops within 1500 m; no other controls (post hoc calibration)
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Dwelling area (overall mean effect),living_area,A_structural,log,m2,0.614,0.019,,,,,,high,Log dwelling area (Table 2); random slope at municipality level in ML model,log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Dwelling area (overall mean effect),living_area,A_structural,log,m2,0.63,0.011,,,,,,high,Log dwelling area (Table 2); random slope at municipality level in ML model,log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Dwelling area (overall mean effect),living_area,A_structural,log,m2,0.603,0.017,,,,,,high,Log dwelling area (Table 2); random slope at municipality level in ML model,log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Macro-location (in log),other,other,log,CHF per m2 (log),0.766,0.025,,,,,,high,Municipality-level virtual asking rent per m2 from separate spatial model (location attractiveness index),log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Macro-location (in log),other,other,log,CHF per m2 (log),0.761,0.022,,,,,,high,Municipality-level virtual asking rent per m2 from separate spatial model (location attractiveness index),log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Macro-location (in log),other,other,log,CHF per m2 (log),0.789,0.024,,,,,,high,Municipality-level virtual asking rent per m2 from separate spatial model (location attractiveness index),log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Age in years,age,A_structural,level,years,-0.007,0.0,,,,,,medium,"Age of building, mean-centred; SE printed as 0.000 (rounded)",log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Age in years,age,A_structural,level,years,-0.007,0.0,,,,,,medium,"Age of building, mean-centred; SE printed as 0.000 (rounded)",log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Age in years,age,A_structural,level,years,-0.007,0.0,,,,,,medium,"Age of building, mean-centred; SE printed as 0.000 (rounded)",log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Age squared,age,A_structural,squared,years,0.005,0.0,,,,,,medium,Squared age term; scaling not stated (coefficient implausibly large for raw years^2); SE printed as 0.000 (rounded),log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Age squared,age,A_structural,squared,years,0.005,0.0,,,,,,medium,Squared age term; scaling not stated (coefficient implausibly large for raw years^2); SE printed as 0.000 (rounded),log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Age squared,age,A_structural,squared,years,0.006,0.0,,,,,,medium,Squared age term; scaling not stated (coefficient implausibly large for raw years^2); SE printed as 0.000 (rounded),log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Number of rooms,bedrooms,A_structural,level,count,0.053,0.005,,,,,,high,Number of rooms in the apartment (not bedrooms specifically),log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Number of rooms,bedrooms,A_structural,level,count,0.054,0.005,,,,,,high,Number of rooms in the apartment (not bedrooms specifically),log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Number of rooms,bedrooms,A_structural,level,count,0.052,0.005,,,,,,high,Number of rooms in the apartment (not bedrooms specifically),log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Number of apartments,other,other,level,count,-0.0001,0.0,,,,,,medium,Number of apartments in the building; SE printed as 0.000 (rounded),log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Number of apartments,other,other,level,count,-0.0001,0.0,,,,,,medium,Number of apartments in the building; SE printed as 0.000 (rounded),log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Number of apartments,other,other,level,count,-0.0002,0.0,,,,,,medium,Number of apartments in the building; SE printed as 0.000 (rounded),log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Floor level,floor_level,A_structural,level,count,0.006,0.001,,,,,,high,Position of the apartment in the building,log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Floor level,floor_level,A_structural,level,count,0.007,0.001,,,,,,high,Position of the apartment in the building,log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Floor level,floor_level,A_structural,level,count,0.009,0.001,,,,,,high,Position of the apartment in the building,log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Condition,condition,A_structural,level,1-5 scale,0.063,0.003,,,,,,high,"Condition of the building, scale 1 (worst) to 5 (best)",log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Condition,condition,A_structural,level,1-5 scale,0.063,0.003,,,,,,high,"Condition of the building, scale 1 (worst) to 5 (best)",log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Condition,condition,A_structural,level,1-5 scale,0.065,0.003,,,,,,high,"Condition of the building, scale 1 (worst) to 5 (best)",log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Standard,luxury_finishes,B_interior,level,1-5 scale,0.018,0.004,,,,,,high,"Standard (fit-out quality) of the apartment, scale 1-5",log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Standard,luxury_finishes,B_interior,level,1-5 scale,0.019,0.004,,,,,,high,"Standard (fit-out quality) of the apartment, scale 1-5",log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Standard,luxury_finishes,B_interior,level,1-5 scale,0.024,0.004,,,,,,high,"Standard (fit-out quality) of the apartment, scale 1-5",log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Micro-location,other,other,level,1-5 scale,0.007,0.003,,,,,,high,"Composite site-quality rating within municipality (prestige, noise, view, public transport access), 1-5",log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Micro-location,other,other,level,1-5 scale,0.007,0.003,,,,,,high,"Composite site-quality rating within municipality (prestige, noise, view, public transport access), 1-5",log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Micro-location,other,other,level,1-5 scale,0.009,0.003,,,,,,high,"Composite site-quality rating within municipality (prestige, noise, view, public transport access), 1-5",log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c1,5,1,17,Mixed building,dwelling_type,A_structural,binary,binary,0.033,0.005,,,,,,high,Dummy for mixed commercial and residential building,log yearly rent (CHF),log,OLS,11913.0,0.858,se,OLS 1: with cantonal dummies
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c2,5,2,17,Mixed building,dwelling_type,A_structural,binary,binary,0.032,0.005,,,,,,high,Dummy for mixed commercial and residential building,log yearly rent (CHF),log,OLS,11913.0,0.859,se,OLS 2: cantonal dummies + cantonal interaction terms
3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796,3372ad7c12532642d33524d3fe7c38467c784796:T5-c3,5,3,17,Mixed building,dwelling_type,A_structural,binary,binary,0.038,0.005,,,,,,high,Dummy for mixed commercial and residential building,log yearly rent (CHF),log,other,11913.0,0.877,se,"ML: two-level multilevel model (random intercept + random slope on dwelling area at municipality level, MLwiN); same estimates as Table 4 p. 14"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Dwelling,dwelling_type,A_structural,binary,binary,0.4,0.18,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Roof,roof_materials,A_structural,binary,binary,-0.38,0.33,,,,,,medium,"1 if roof type is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Floor,flooring,B_interior,binary,binary,0.64,0.24,,,,,,medium,"1 if floor is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,External wall,roof_materials,A_structural,binary,binary,0.32,0.22,,,,,,medium,"1 if external wall is in mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Number of rooms,bedrooms,A_structural,level,count,0.36,0.18,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Electricity,other,other,binary,binary,0.6,0.16,,,,,,medium,"1 if the house has electricity; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Private tap water,other,other,binary,binary,2.36,0.85,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Public tap water,other,other,binary,binary,-0.15,0.41,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Bore hole water,other,other,binary,binary,-0.13,0.3,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Protected well water,other,other,binary,binary,0.02,0.39,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Unprotected water,other,other,binary,binary,-0.04,0.33,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Covered private toilet,other,other,binary,binary,0.42,0.79,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Cover shared toilet,other,other,binary,binary,0.53,0.75,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,VIP latrine toilet,other,other,binary,binary,0.22,1.01,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c1,2,1,11,Flush toilet,other,other,binary,binary,0.62,0.75,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,242.0,0.75,se,Uganda LSMS 2010 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Dwelling,dwelling_type,A_structural,binary,binary,0.16,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Roof,roof_materials,A_structural,binary,binary,0.01,,,,,,,medium,"1 if roof type is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Floor,flooring,B_interior,binary,binary,0.28,,,,,,,medium,"1 if floor is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,External wall,roof_materials,A_structural,binary,binary,0.28,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Number of rooms,bedrooms,A_structural,level,count,0.22,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Electricity,other,other,binary,binary,0.38,,,,,,,medium,"1 if the house has electricity; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Private tap water,other,other,binary,binary,0.94,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Public tap water,other,other,binary,binary,0.22,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Bore hole water,other,other,binary,binary,0.04,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Protected well water,other,other,binary,binary,-0.05,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Unprotected water,other,other,binary,binary,-0.01,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Covered private toilet,other,other,binary,binary,-0.13,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Cover shared toilet,other,other,binary,binary,-0.02,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,VIP latrine toilet,other,other,binary,binary,0.09,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c2,2,2,11,Flush toilet,other,other,binary,binary,0.06,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c3,2,3,11,Dwelling,dwelling_type,A_structural,binary,binary,0.11,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c3,2,3,11,Floor,flooring,B_interior,binary,binary,0.29,,,,,,,medium,"1 if floor is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c3,2,3,11,External wall,roof_materials,A_structural,binary,binary,0.29,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c3,2,3,11,Number of rooms,bedrooms,A_structural,level,count,0.12,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c3,2,3,11,Electricity,other,other,binary,binary,0.49,,,,,,,medium,"1 if the house has electricity; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c3,2,3,11,Private tap water,other,other,binary,binary,1.15,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,242.0,,none,"Uganda LSMS 2010 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Dwelling,dwelling_type,A_structural,binary,binary,0.22,0.14,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Roof,roof_materials,A_structural,binary,binary,0.23,0.73,,,,,,medium,"1 if roof type is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Floor,flooring,B_interior,binary,binary,0.01,0.09,,,,,,medium,"1 if floor is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,External wall,roof_materials,A_structural,binary,binary,0.4,0.18,,,,,,medium,"1 if external wall is in mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Number of rooms,bedrooms,A_structural,level,count,6.43,2.34,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Electricity,other,other,binary,binary,0.5,0.11,,,,,,medium,"1 if the house has electricity; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Private tap water,other,other,binary,binary,0.29,0.3,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Public tap water,other,other,binary,binary,0.05,0.24,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Bore hole water,other,other,binary,binary,-0.58,0.33,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Protected well water,other,other,binary,binary,0.25,0.26,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Unprotected water,other,other,binary,binary,-0.87,0.36,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Covered private toilet,other,other,binary,binary,0.63,0.32,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Cover shared toilet,other,other,binary,binary,0.4,0.28,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,VIP latrine toilet,other,other,binary,binary,-0.14,0.45,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c4,2,4,11,Flush toilet,other,other,binary,binary,1.29,0.49,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,263.0,0.41,se,Uganda LSMS 2012 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Dwelling,dwelling_type,A_structural,binary,binary,0.08,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Roof,roof_materials,A_structural,binary,binary,-0.27,,,,,,,medium,"1 if roof type is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Floor,flooring,B_interior,binary,binary,-0.08,,,,,,,medium,"1 if floor is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,External wall,roof_materials,A_structural,binary,binary,0.29,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Number of rooms,bedrooms,A_structural,level,count,0.39,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Electricity,other,other,binary,binary,0.42,,,,,,,medium,"1 if the house has electricity; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Private tap water,other,other,binary,binary,0.31,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Public tap water,other,other,binary,binary,0.07,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Bore hole water,other,other,binary,binary,-0.42,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Protected well water,other,other,binary,binary,0.2,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Unprotected water,other,other,binary,binary,-0.54,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Covered private toilet,other,other,binary,binary,0.17,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Cover shared toilet,other,other,binary,binary,0.02,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,VIP latrine toilet,other,other,binary,binary,-0.34,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c5,2,5,11,Flush toilet,other,other,binary,binary,0.86,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Dwelling,dwelling_type,A_structural,binary,binary,0.13,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Roof,roof_materials,A_structural,binary,binary,-0.09,,,,,,,medium,"1 if roof type is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,External wall,roof_materials,A_structural,binary,binary,0.37,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Number of rooms,bedrooms,A_structural,level,count,0.53,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Electricity,other,other,binary,binary,0.49,,,,,,,medium,"1 if the house has electricity; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Private tap water,other,other,binary,binary,0.2,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Bore hole water,other,other,binary,binary,-0.56,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Protected well water,other,other,binary,binary,0.13,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Unprotected water,other,other,binary,binary,-0.74,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Covered private toilet,other,other,binary,binary,0.21,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Cover shared toilet,other,other,binary,binary,0.04,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,VIP latrine toilet,other,other,binary,binary,-0.38,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T2-c6,2,6,11,Flush toilet,other,other,binary,binary,0.87,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,263.0,,none,"Uganda LSMS 2012 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Roof,roof_materials,A_structural,binary,binary,-0.63,0.11,,,,,,medium,"1 if roof type is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Floor,flooring,B_interior,binary,binary,-0.16,0.07,,,,,,medium,"1 if floor is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,External wall,roof_materials,A_structural,binary,binary,0.42,0.05,,,,,,medium,"1 if external wall is in mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Number of rooms,bedrooms,A_structural,level,count,0.66,0.05,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Electricity,other,other,binary,binary,0.64,0.05,,,,,,medium,"1 if the house has electricity; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Private tap water,other,other,binary,binary,0.15,0.09,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Public tap water,other,other,binary,binary,-0.15,0.11,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Protected well water,other,other,binary,binary,-0.27,0.18,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Unprotected water,other,other,binary,binary,-0.15,0.12,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,VIP latrine toilet,other,other,binary,binary,-0.18,0.11,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Flush toilet,other,other,binary,binary,0.03,0.11,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Pit latrine,other,other,binary,binary,0.14,0.1,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Private toilet,other,other,binary,binary,-0.16,0.13,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c1,3,1,11,Shared toilet,other,other,binary,binary,-0.31,0.07,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,873.0,0.75,se,Tanzania LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Roof,roof_materials,A_structural,binary,binary,-0.53,,,,,,,medium,"1 if roof type is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Floor,flooring,B_interior,binary,binary,-0.21,,,,,,,medium,"1 if floor is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,External wall,roof_materials,A_structural,binary,binary,0.4,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Number of rooms,bedrooms,A_structural,level,count,0.6,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Electricity,other,other,binary,binary,0.62,,,,,,,medium,"1 if the house has electricity; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Private tap water,other,other,binary,binary,0.14,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Public tap water,other,other,binary,binary,-0.19,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Protected well water,other,other,binary,binary,-0.29,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Unprotected water,other,other,binary,binary,-0.16,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,VIP latrine toilet,other,other,binary,binary,-0.17,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Flush toilet,other,other,binary,binary,0.05,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Pit latrine,other,other,binary,binary,0.15,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Private toilet,other,other,binary,binary,-0.19,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c2,3,2,11,Shared toilet,other,other,binary,binary,-0.3,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Roof,roof_materials,A_structural,binary,binary,-0.52,,,,,,,medium,"1 if roof type is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Floor,flooring,B_interior,binary,binary,-0.21,,,,,,,medium,"1 if floor is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,External wall,roof_materials,A_structural,binary,binary,0.44,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Number of rooms,bedrooms,A_structural,level,count,0.61,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Electricity,other,other,binary,binary,0.7,,,,,,,medium,"1 if the house has electricity; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Private tap water,other,other,binary,binary,0.1,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Protected well water,other,other,binary,binary,-0.13,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Unprotected water,other,other,binary,binary,-0.05,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,VIP latrine toilet,other,other,binary,binary,-0.04,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Flush toilet,other,other,binary,binary,0.01,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Pit latrine,other,other,binary,binary,0.1,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Private toilet,other,other,binary,binary,-0.07,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c3,3,3,11,Shared toilet,other,other,binary,binary,-0.22,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,873.0,,none,"Tanzania LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Roof,roof_materials,A_structural,binary,binary,-0.73,0.14,,,,,,medium,"1 if roof type is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Floor,flooring,B_interior,binary,binary,-0.28,0.08,,,,,,medium,"1 if floor is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Number of rooms,bedrooms,A_structural,level,count,0.8,0.05,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Electricity,other,other,binary,binary,0.54,0.05,,,,,,medium,"1 if the house has electricity; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Private tap water,other,other,binary,binary,0.1,0.05,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Public tap water,other,other,binary,binary,0.31,0.09,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Protected well water,other,other,binary,binary,-0.04,0.12,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,VIP latrine toilet,other,other,binary,binary,0.89,0.24,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Flush toilet,other,other,binary,binary,0.72,0.22,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c4,3,4,11,Pit latrine,other,other,binary,binary,0.49,0.22,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1363.0,0.58,se,Tanzania LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Roof,roof_materials,A_structural,binary,binary,-0.66,,,,,,,medium,"1 if roof type is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Floor,flooring,B_interior,binary,binary,-0.32,,,,,,,medium,"1 if floor is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,External wall,roof_materials,A_structural,binary,binary,0.11,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Number of rooms,bedrooms,A_structural,level,count,0.72,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Electricity,other,other,binary,binary,0.5,,,,,,,medium,"1 if the house has electricity; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Private tap water,other,other,binary,binary,0.05,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Public tap water,other,other,binary,binary,-0.15,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Protected well water,other,other,binary,binary,0.12,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Unprotected water,other,other,binary,binary,0.12,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,VIP latrine toilet,other,other,binary,binary,0.32,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Flush toilet,other,other,binary,binary,0.19,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c5,3,5,11,Pit latrine,other,other,binary,binary,-0.01,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Roof,roof_materials,A_structural,binary,binary,-0.72,,,,,,,medium,"1 if roof type is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Floor,flooring,B_interior,binary,binary,-0.28,,,,,,,medium,"1 if floor is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,External wall,roof_materials,A_structural,binary,binary,-0.0,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Number of rooms,bedrooms,A_structural,level,count,0.8,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Electricity,other,other,binary,binary,0.5,,,,,,,medium,"1 if the house has electricity; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Public tap water,other,other,binary,binary,-0.2,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Protected well water,other,other,binary,binary,0.05,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Unprotected water,other,other,binary,binary,0.09,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,VIP latrine toilet,other,other,binary,binary,0.8,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Flush toilet,other,other,binary,binary,0.63,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T3-c6,3,6,11,Pit latrine,other,other,binary,binary,0.4,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1363.0,,none,"Tanzania LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Roof,roof_materials,A_structural,binary,binary,1.11,,,,,,,medium,"1 if roof type is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed); no value in parentheses printed for this cell","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,External wall,roof_materials,A_structural,binary,binary,0.14,0.13,,,,,,medium,"1 if external wall is in mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Number of rooms,bedrooms,A_structural,level,count,0.5,0.07,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Electricity,other,other,binary,binary,0.82,0.08,,,,,,medium,"1 if the house has electricity; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Private tap water,other,other,binary,binary,0.58,0.18,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Public tap water,other,other,binary,binary,0.24,0.09,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Bore hole water,other,other,binary,binary,-0.12,0.19,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Protected well water,other,other,binary,binary,0.06,0.14,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Unprotected water,other,other,binary,binary,0.55,0.41,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,VIP latrine toilet,other,other,binary,binary,0.13,0.13,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c1,4,1,12,Flush toilet,other,other,binary,binary,0.26,0.17,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,662.0,0.75,se,Malawi LSMS 2014 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Dwelling,dwelling_type,A_structural,binary,binary,0.3,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Roof,roof_materials,A_structural,binary,binary,0.18,,,,,,,medium,"1 if roof type is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Floor,flooring,B_interior,binary,binary,-0.15,,,,,,,medium,"1 if floor is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,External wall,roof_materials,A_structural,binary,binary,0.11,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Number of rooms,bedrooms,A_structural,level,count,0.42,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Electricity,other,other,binary,binary,0.58,,,,,,,medium,"1 if the house has electricity; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Private tap water,other,other,binary,binary,0.49,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Public tap water,other,other,binary,binary,0.17,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Bore hole water,other,other,binary,binary,0.03,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Protected well water,other,other,binary,binary,0.05,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Unprotected water,other,other,binary,binary,0.41,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,VIP latrine toilet,other,other,binary,binary,0.04,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Flush toilet,other,other,binary,binary,0.26,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c2,4,2,12,Pit latrine,other,other,binary,binary,-0.05,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Dwelling,dwelling_type,A_structural,binary,binary,0.3,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Roof,roof_materials,A_structural,binary,binary,0.12,,,,,,,medium,"1 if roof type is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Floor,flooring,B_interior,binary,binary,-0.11,,,,,,,medium,"1 if floor is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Number of rooms,bedrooms,A_structural,level,count,0.42,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Electricity,other,other,binary,binary,0.69,,,,,,,medium,"1 if the house has electricity; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Private tap water,other,other,binary,binary,0.47,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Public tap water,other,other,binary,binary,0.09,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Unprotected water,other,other,binary,binary,0.09,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c3,4,3,12,Flush toilet,other,other,binary,binary,0.2,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,662.0,,none,"Malawi LSMS 2014 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Dwelling,dwelling_type,A_structural,binary,binary,-0.01,0.12,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Roof,roof_materials,A_structural,binary,binary,0.34,0.1,,,,,,medium,"1 if roof type is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Floor,flooring,B_interior,binary,binary,-0.15,0.06,,,,,,medium,"1 if floor is mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,External wall,roof_materials,A_structural,binary,binary,0.17,0.12,,,,,,medium,"1 if external wall is in mud, 0 otherwise; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Number of rooms,bedrooms,A_structural,level,count,0.41,0.05,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Electricity,other,other,binary,binary,0.71,0.05,,,,,,medium,"1 if the house has electricity; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Private tap water,other,other,binary,binary,0.14,0.2,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Public tap water,other,other,binary,binary,0.01,0.2,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Bore hole water,other,other,binary,binary,-0.22,0.2,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Protected well water,other,other,binary,binary,-0.07,0.22,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Unprotected water,other,other,binary,binary,-0.21,0.28,,,,,,medium,"water source dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,VIP latrine toilet,other,other,binary,binary,0.24,0.15,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Flush toilet,other,other,binary,binary,0.86,0.16,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c4,4,4,12,Pit latrine,other,other,binary,binary,0.14,0.14,,,,,,medium,"toilet type dummy; parentheses not labelled in table, assumed standard errors (no stars printed)","natural log of monthly house rent (USD), renter households",log,OLS,1479.0,0.65,se,Malawi LSMS 2016 renter households; OLS with district fixed effects (not reported)
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Dwelling,dwelling_type,A_structural,binary,binary,0.06,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Roof,roof_materials,A_structural,binary,binary,0.29,,,,,,,medium,"1 if roof type is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Floor,flooring,B_interior,binary,binary,-0.15,,,,,,,medium,"1 if floor is mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,External wall,roof_materials,A_structural,binary,binary,0.15,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Number of rooms,bedrooms,A_structural,level,count,0.4,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Electricity,other,other,binary,binary,0.67,,,,,,,medium,"1 if the house has electricity; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Private tap water,other,other,binary,binary,0.17,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Public tap water,other,other,binary,binary,0.02,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Bore hole water,other,other,binary,binary,-0.18,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Protected well water,other,other,binary,binary,-0.08,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Unprotected water,other,other,binary,binary,-0.17,,,,,,,medium,"water source dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,VIP latrine toilet,other,other,binary,binary,-0.07,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Flush toilet,other,other,binary,binary,0.52,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c5,4,5,12,Pit latrine,other,other,binary,binary,-0.18,,,,,,,medium,"toilet type dummy; Ridge shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; Ridge with district fixed effects (not reported); penalised regression (Ridge), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Dwelling,dwelling_type,A_structural,binary,binary,0.01,,,,,,,medium,"1 if the rented room is located within a house, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Roof,roof_materials,A_structural,binary,binary,0.3,,,,,,,medium,"1 if roof type is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Floor,flooring,B_interior,binary,binary,-0.14,,,,,,,medium,"1 if floor is mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,External wall,roof_materials,A_structural,binary,binary,0.09,,,,,,,medium,"1 if external wall is in mud, 0 otherwise; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Number of rooms,bedrooms,A_structural,level,count,0.4,,,,,,,medium,"Number of rooms rented (total rooms, not bedrooms); LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Electricity,other,other,binary,binary,0.72,,,,,,,medium,"1 if the house has electricity; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Private tap water,other,other,binary,binary,0.15,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Bore hole water,other,other,binary,binary,-0.18,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Protected well water,other,other,binary,binary,-0.04,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Unprotected water,other,other,binary,binary,-0.1,,,,,,,medium,"water source dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Flush toilet,other,other,binary,binary,0.61,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a,33b79cf36579ae3f85aa1db50b2d2c31cb4ba23a:T4-c6,4,6,12,Pit latrine,other,other,binary,binary,-0.07,,,,,,,medium,"toilet type dummy; LASSO shrinkage coefficient, no SE (LASSO zero coefficients printed as '-' omitted)","natural log of monthly house rent (USD), renter households",log,other,1479.0,,none,"Malawi LSMS 2016 renter households; LASSO with district fixed effects (not reported); penalised regression (LASSO), no standard errors reported"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c1,2,Model 1,4,Milfoil presence,water_quality,E_environment,dummy,binary,-94385.4,46712.9,,,**,,,high,"presence of invasive Eurasian milfoil in the lake adjacent to the property (endogenous, instrumented by boat launch, fish stocking, water clarity, lake area, temperature); lake-level attribute; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.931, relative likelihood 1.0); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c1,2,Model 1,4,House size,living_area,A_structural,level,m2,2608.1,344.2,,,***,,,high,"total living area in m2; coefficient in 2006 USD per m2; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.931, relative likelihood 1.0); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c1,2,Model 1,4,Parcel density,density,F_neighbourhood,level,count,102.8,70.3,,,,,,high,"number of lakefront parcels per km2 (lake-level); SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.931, relative likelihood 1.0); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c1,2,Model 1,4,Lake area,other,other,level,km2,209407.8,81848.0,,,**,,,high,"surface area of the adjacent lake in km2 (lake-level attribute); SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.931, relative likelihood 1.0); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c1,2,Model 1,4,Water clarity,water_quality,E_environment,level,m,-7430.3,11160.2,,,,,,high,"mean Secchi depth of the lake (m) during milfoil growing season; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.931, relative likelihood 1.0); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c2,2,Model 2,4,Milfoil presence,water_quality,E_environment,dummy,binary,-94670.0,49174.7,,,*,,,high,"presence of invasive Eurasian milfoil in the lake adjacent to the property (endogenous, instrumented by boat launch, fish stocking, water clarity, lake area, temperature); lake-level attribute; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.986, relative likelihood 0.969); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c2,2,Model 2,4,House size,living_area,A_structural,level,m2,2474.0,703.9,,,***,,,high,"total living area in m2; coefficient in 2006 USD per m2; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.986, relative likelihood 0.969); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c2,2,Model 2,4,Lot size,lot_size,A_structural,level,m2,-1.2,13.2,,,,,,high,"parcel size in m2; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.986, relative likelihood 0.969); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c2,2,Model 2,4,Lake area,other,other,level,km2,154409.5,74073.6,,,*,,,high,"surface area of the adjacent lake in km2 (lake-level attribute); SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.986, relative likelihood 0.969); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c2,2,Model 2,4,Water clarity,water_quality,E_environment,level,m,-6962.7,12820.2,,,,,,high,"mean Secchi depth of the lake (m) during milfoil growing season; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.986, relative likelihood 0.969); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c3,2,Model 3,4,Milfoil presence,water_quality,E_environment,dummy,binary,-92558.0,48255.6,,,*,,,high,"presence of invasive Eurasian milfoil in the lake adjacent to the property (endogenous, instrumented by boat launch, fish stocking, water clarity, lake area, temperature); lake-level attribute; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.998, relative likelihood 0.963); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c3,2,Model 3,4,House size,living_area,A_structural,level,m2,2681.6,726.0,,,***,,,high,"total living area in m2; coefficient in 2006 USD per m2; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.998, relative likelihood 0.963); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c3,2,Model 3,4,Lot size,lot_size,A_structural,level,m2,3.1,12.9,,,,,,high,"parcel size in m2; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.998, relative likelihood 0.963); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c3,2,Model 3,4,Parcel density,density,F_neighbourhood,level,count,115.4,78.6,,,,,,high,"number of lakefront parcels per km2 (lake-level); SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.998, relative likelihood 0.963); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c3,2,Model 3,4,Lake area,other,other,level,km2,215595.0,84521.5,,,**,,,high,"surface area of the adjacent lake in km2 (lake-level attribute); SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.998, relative likelihood 0.963); n_obs from text (1,258 transactions), not printed in table"
35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da,35b0e34c43595f2139ae225aceb59ae4af4bb8da:T2-c3,2,Model 3,4,Water clarity,water_quality,E_environment,level,m,-6954.9,12600.7,,,,,,high,"mean Secchi depth of the lake (m) during milfoil growing season; SE in separate column; stars * p<0.10 ** p<0.05 *** p<0.01; table printed rotated, columns reconstructed from PDF positions; minus signs rendered as '2' in the PDF text layer","property sales price, land + house (2006 USD)",level,IV,1258.0,,none,"lakefront single-family sales, 41 lakes in King County WA, 1995-2006; two-stage least squares with milfoil presence endogenous; top-3 model by AICc (AICc 23.998, relative likelihood 0.963); n_obs from text (1,258 transactions), not printed in table"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,Number of bedrooms,bedrooms,A_structural,level,count,0.03,0.00072,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,"Lot size, sq. ft",lot_size,A_structural,level,1000 sqft,0.07,0.003,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports lot size in thousands of sq ft and the magnitude (0.07 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,"Living area, sq. ft",living_area,A_structural,level,1000 sqft,0.18,0.004,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports living area in thousands of sq ft and the magnitude (0.18-0.23 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,Year property built,age,A_structural,other,years,-0.00012,6.8e-05,,,.,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Printed as 'Year property built' but Table 3 defines it as years since construction relative to 2019 (mean 42.67/46), i.e. building age in years; mapped to age. Written in the table as a x 10^-4 / 10^-5 scientific notation.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,"Euclidean distance to coastline, ft",water_proximity,E_environment,level,1000 ft,-0.01,0.00094,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft (mean ~1.9-2.1); unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,"Euclidean distance to major road, ft",highway_distance,D_location,level,1000 ft,0.01,0.0006,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft; unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,FEMA 100-year floodplain,flood_risk,E_environment,binary,binary,0.05,0.004,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. 1 if property lies in a FEMA 100-year floodplain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,Number of bedrooms,bedrooms,A_structural,level,count,0.04,0.002,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,"Lot size, sq. ft",lot_size,A_structural,level,1000 sqft,0.001,8.4e-05,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports lot size in thousands of sq ft and the magnitude (0.07 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,"Living area, sq. ft",living_area,A_structural,level,1000 sqft,0.23,0.002,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports living area in thousands of sq ft and the magnitude (0.18-0.23 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,Year property built,age,A_structural,other,years,-0.00014,4.2e-05,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Printed as 'Year property built' but Table 3 defines it as years since construction relative to 2019 (mean 42.67/46), i.e. building age in years; mapped to age. Written in the table as a x 10^-4 / 10^-5 scientific notation.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,"Euclidean distance to coastline, ft",water_proximity,E_environment,level,1000 ft,-0.03,0.001,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft (mean ~1.9-2.1); unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,"Euclidean distance to major road, ft",highway_distance,D_location,level,1000 ft,0.01,0.002,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft; unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,FEMA 100-year floodplain,flood_risk,E_environment,binary,binary,-0.03,0.004,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. 1 if property lies in a FEMA 100-year floodplain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,SLR exposure less than 2 ft,flood_risk,E_environment,binary,binary,-0.12,0.02,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,SLR exposure less than 2 ft,flood_risk,E_environment,binary,binary,0.02,0.03,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,SLR exposure 2 to 3 ft,flood_risk,E_environment,binary,binary,-0.02,0.01,,,*,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,SLR exposure 2 to 3 ft,flood_risk,E_environment,binary,binary,-0.07,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,SLR exposure 3 to 4 ft,flood_risk,E_environment,binary,binary,0.03,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,SLR exposure 3 to 4 ft,flood_risk,E_environment,binary,binary,-0.03,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,SLR exposure 4 to 5 ft,flood_risk,E_environment,binary,binary,0.06,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,SLR exposure 4 to 5 ft,flood_risk,E_environment,binary,binary,-0.01,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c1,4,1,6,SLR exposure 5 to 6 ft,flood_risk,E_environment,binary,binary,0.04,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.45; log-likelihood 14,156.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T4-c2,4,2,6,SLR exposure 5 to 6 ft,flood_risk,E_environment,binary,binary,-0.01,0.005,,,*,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; overall model without owner-type interactions; spatial lag rho = 0.47; log-likelihood 25,291.4; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,Number of bedrooms,bedrooms,A_structural,level,count,0.03,0.001,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,"Lot size, sq. ft",lot_size,A_structural,level,1000 sqft,0.07,0.003,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports lot size in thousands of sq ft and the magnitude (0.07 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,"Living area, sq. ft",living_area,A_structural,level,1000 sqft,0.18,0.004,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports living area in thousands of sq ft and the magnitude (0.18-0.23 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,Year property built,age,A_structural,other,years,-0.00012,6.8e-05,,,.,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Printed as 'Year property built' but Table 3 defines it as years since construction relative to 2019 (mean 42.67/46), i.e. building age in years; mapped to age. Written in the table as a x 10^-4 / 10^-5 scientific notation.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,"Euclidean distance to coastline, ft",water_proximity,E_environment,level,1000 ft,-0.01,0.001,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft (mean ~1.9-2.1); unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,"Euclidean distance to major road, ft",highway_distance,D_location,level,1000 ft,0.01,0.001,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft; unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,FEMA 100-year floodplain,flood_risk,E_environment,binary,binary,0.05,0.004,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. 1 if property lies in a FEMA 100-year floodplain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,Number of bedrooms,bedrooms,A_structural,level,count,0.04,0.002,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,"Lot size, sq. ft",lot_size,A_structural,level,1000 sqft,0.001,8.4e-05,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports lot size in thousands of sq ft and the magnitude (0.07 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,"Living area, sq. ft",living_area,A_structural,level,1000 sqft,0.23,0.002,,,***,,,medium,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says sq. ft but Table 3 reports living area in thousands of sq ft and the magnitude (0.18-0.23 per unit) is only plausible per 1,000 sq ft; unit scaling uncertain.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,Year property built,age,A_structural,other,years,0.00014,4.2e-05,,,***,,,low,"Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Printed as 'Year property built' but Table 3 defines it as years since construction relative to 2019 (mean 42.67/46), i.e. building age in years; mapped to age. Written in the table as a x 10^-4 / 10^-5 scientific notation. NOTE: printed WITHOUT a minus sign in Table 5 (1.4 x 10^-4***) whereas Table 4 prints -1.40 x 10^-4 for the same specification; likely a typographical omission of the minus sign.","Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,"Euclidean distance to coastline, ft",water_proximity,E_environment,level,1000 ft,-0.03,0.001,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft (mean ~1.9-2.1); unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,"Euclidean distance to major road, ft",highway_distance,D_location,level,1000 ft,0.01,0.002,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Table header says ft but Table 3 reports distance in thousands of ft; unit scaling uncertain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,FEMA 100-year floodplain,flood_risk,E_environment,binary,binary,-0.03,0.004,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. 1 if property lies in a FEMA 100-year floodplain.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure less than 2 ft & PHOs,flood_risk,E_environment,binary,binary,-0.1,0.03,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure less than 2 ft & PHOs,flood_risk,E_environment,binary,binary,-0.15,0.05,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure less than 2 ft & NPHOs,flood_risk,E_environment,binary,binary,-0.13,0.03,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure less than 2 ft & NPHOs,flood_risk,E_environment,binary,binary,0.14,0.04,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 2 to 3 ft & PHOs,flood_risk,E_environment,binary,binary,-0.01,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 2 to 3 ft & PHOs,flood_risk,E_environment,binary,binary,-0.09,0.02,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 2 to 3 ft & NPHOs,flood_risk,E_environment,binary,binary,-0.03,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 2 to 3 ft & NPHOs,flood_risk,E_environment,binary,binary,-0.05,0.02,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 3 to 4 ft & PHOs,flood_risk,E_environment,binary,binary,0.05,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 3 to 4 ft & PHOs,flood_risk,E_environment,binary,binary,-0.06,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 3 to 4 ft & NPHOs,flood_risk,E_environment,binary,binary,-0.01,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 3 to 4 ft & NPHOs,flood_risk,E_environment,binary,binary,0.003,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 4 to 5 ft & PHOs,flood_risk,E_environment,binary,binary,0.08,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 4 to 5 ft & PHOs,flood_risk,E_environment,binary,binary,-0.002,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 4 to 5 ft & NPHOs,flood_risk,E_environment,binary,binary,0.002,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 4 to 5 ft & NPHOs,flood_risk,E_environment,binary,binary,-0.01,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 5 to 6 ft & PHOs,flood_risk,E_environment,binary,binary,0.05,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 5 to 6 ft & PHOs,flood_risk,E_environment,binary,binary,-0.003,0.01,,,,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with primary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c1,5,1,7,SLR exposure 5 to 6 ft & NPHOs,flood_risk,E_environment,binary,binary,0.01,0.01,,,.,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,77454.0,0.79,se,"Pinellas County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.45; log-likelihood 14,083.7; year/month and city dummies included"
35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92,35e9cf817db8c35d9d40580566f6516793f3cc92:T5-c2,5,2,7,SLR exposure 5 to 6 ft & NPHOs,flood_risk,E_environment,binary,binary,-0.02,0.01,,,***,,,medium,Dependent-variable transformation not stated in the paper (see model notes); coefficient recorded exactly as printed. Dummy = 1 if the property centroid falls within the NOAA sea-level-rise inundation layer for the stated scenario band (elevation exposure); mapped to flood_risk as nearest leaf. Interaction of the SLR exposure dummy with nonprimary homeowner (homestead-exemption) status; effect for that buyer group.,"Housing price (unadjusted sale price, USD); transformation not stated - authors interpret coefficients as percentage discounts and intercept of 2.50 is consistent with log10(price in 1,000 USD)",log,spatial_lag,58264.0,0.81,se,"Miami-Dade County, detached single-family homes within 5,000-ft coastal band, Jan 2004 - Mar 2019; SLR exposure dummies interacted with primary (PHO) / nonprimary (NPHO) homeowner status; spatial lag rho = 0.47; log-likelihood 25,265.1; year/month and city dummies included"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T4-c1,4,1,9,ln (FA),living_area,A_structural,log,m2,-0.43255,,7.81141,0.0,,,,medium,"Floor area, log; coefficient printed with a leading dash (negative) while zcalc printed without sign (absolute value); z-statistic recorded in t","ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,spatial_error,190.0,0.8169,t,"Training partition (190 apartments, Centro/Agronomica/Trindade); spatial error (CAR) model, distance-band weights 525 m; z-statistics and p-values printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T4-c1,4,1,9,ln (DA),cbd_distance,D_location,log,m,-0.1177,,5.35113,0.0,,,,medium,"Distance to Beira-Mar Avenue (seaside avenue in the Centro used as valuation pole), log of metres; could alternatively be read as water proximity; coefficient printed with a leading dash (negative) while zcalc printed without sign (absolute value); z-statistic recorded in t","ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,spatial_error,190.0,0.8169,t,"Training partition (190 apartments, Centro/Agronomica/Trindade); spatial error (CAR) model, distance-band weights 525 m; z-statistics and p-values printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T4-c1,4,1,9,NB,bedrooms,A_structural,level,count,0.05794,,2.76309,0.00573,,,,high,; z-statistic recorded in t,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,spatial_error,190.0,0.8169,t,"Training partition (190 apartments, Centro/Agronomica/Trindade); spatial error (CAR) model, distance-band weights 525 m; z-statistics and p-values printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T4-c1,4,1,9,BT,bathrooms,A_structural,level,count,0.03583,,2.12263,0.03379,,,,high,; z-statistic recorded in t,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,spatial_error,190.0,0.8169,t,"Training partition (190 apartments, Centro/Agronomica/Trindade); spatial error (CAR) model, distance-band weights 525 m; z-statistics and p-values printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T4-c1,4,1,9,NG,parking,A_structural,level,count,0.1852,,8.92755,0.0,,,,high,Number of parking spaces; z-statistic recorded in t,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,spatial_error,190.0,0.8169,t,"Training partition (190 apartments, Centro/Agronomica/Trindade); spatial error (CAR) model, distance-band weights 525 m; z-statistics and p-values printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T4-c1,4,1,9,SP,pool,C_exterior,binary,binary,0.09129,,3.47056,0.00052,,,,high,Swimming pool (building); z-statistic recorded in t,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,spatial_error,190.0,0.8169,t,"Training partition (190 apartments, Centro/Agronomica/Trindade); spatial error (CAR) model, distance-band weights 525 m; z-statistics and p-values printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T4-c1,4,1,9,CQ,condition,A_structural,level,"ordinal (1 low, 2 medium, 3 high construction quality)",0.20171,,12.3279,0.0,,,,high,Construction quality code; z-statistic recorded in t,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,spatial_error,190.0,0.8169,t,"Training partition (190 apartments, Centro/Agronomica/Trindade); spatial error (CAR) model, distance-band weights 525 m; z-statistics and p-values printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T5-c1,5,1,10,ln (FA),living_area,A_structural,log,m2,-0.517,,,,,,,medium,"Floor area, log; GWR average of local coefficients (median -0.5074); no SE reported","ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,GWR,190.0,0.9239,none,"GWR (fixed Gaussian kernel, bandwidth 278.42 m); average of the 190 local coefficients printed (median also printed); pool variable fixed as global; no SE printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T5-c1,5,1,10,ln (DA),cbd_distance,D_location,log,m,-0.08873,,,,,,,medium,"Distance to Beira-Mar Avenue (seaside avenue in the Centro used as valuation pole), log of metres; could alternatively be read as water proximity; GWR average of local coefficients (median -0.10434); no SE reported","ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,GWR,190.0,0.9239,none,"GWR (fixed Gaussian kernel, bandwidth 278.42 m); average of the 190 local coefficients printed (median also printed); pool variable fixed as global; no SE printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T5-c1,5,1,10,NB,bedrooms,A_structural,level,count,0.06497,,,,,,,medium,GWR average of local coefficients (median 0.06628); no SE reported,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,GWR,190.0,0.9239,none,"GWR (fixed Gaussian kernel, bandwidth 278.42 m); average of the 190 local coefficients printed (median also printed); pool variable fixed as global; no SE printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T5-c1,5,1,10,BT,bathrooms,A_structural,level,count,0.06173,,,,,,,medium,GWR average of local coefficients (median 0.06011); no SE reported,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,GWR,190.0,0.9239,none,"GWR (fixed Gaussian kernel, bandwidth 278.42 m); average of the 190 local coefficients printed (median also printed); pool variable fixed as global; no SE printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T5-c1,5,1,10,NG,parking,A_structural,level,count,0.19071,,,,,,,medium,Number of parking spaces; GWR average of local coefficients (median 0.19394); no SE reported,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,GWR,190.0,0.9239,none,"GWR (fixed Gaussian kernel, bandwidth 278.42 m); average of the 190 local coefficients printed (median also printed); pool variable fixed as global; no SE printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T5-c1,5,1,10,SP,pool,C_exterior,binary,binary,0.09732,,,,,,,medium,Swimming pool (building); GWR average of local coefficients (median 0.09732); no SE reported; variable treated as global (fixed) in GWR,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,GWR,190.0,0.9239,none,"GWR (fixed Gaussian kernel, bandwidth 278.42 m); average of the 190 local coefficients printed (median also printed); pool variable fixed as global; no SE printed"
36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d,36eac2e74fd054fe7faa7ad4134c3aa524d5616d:T5-c1,5,1,10,CQ,condition,A_structural,level,"ordinal (1 low, 2 medium, 3 high construction quality)",0.20735,,,,,,,medium,Construction quality code; GWR average of local coefficients (median 0.22325); no SE reported,"ln(UV): natural log of unit value (price per m2, R$/m2) of apartments",log,GWR,190.0,0.9239,none,"GWR (fixed Gaussian kernel, bandwidth 278.42 m); average of the 190 local coefficients printed (median also printed); pool variable fixed as global; no SE printed"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,DISTLRT1,transit_distance,D_location,dummy,binary,0.122668,,4.6,0.0,,,,high,Dummy: within 1000 m of nearest LRT station. t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,DISTLRT2,transit_distance,D_location,dummy,binary,0.098065,,4.6,0.0,,,,high,Dummy: 1001-2000 m from nearest LRT station. t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,FLOORAREA,living_area,A_structural,level,sqft,0.000436,,15.8,0.0,,,,high,Floor area in square feet. t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,LOTAREA,lot_size,A_structural,level,sqft,0.000214,,16.5,0.0,,,,high,Lot (land) area in square feet. t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,BEDROOMS,bedrooms,A_structural,dummy,binary,0.041764,,2.3,0.02,,,,high,Dummy: four or more bedrooms. t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,FREEHOLD,other,other,binary,binary,0.188286,,8.8,0.0,,,,high,Freehold tenure dummy. t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,SHOPCENTRE,commercial_distance,D_location,level,m,-7.7e-05,,-5.4,0.0,,,,high,Distance to nearest shopping centre (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,HOSPITAL,hospital_distance,D_location,level,m,0.0001,,10.3,0.0,,,,high,Distance to nearest hospital (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,PARK,green_space,E_environment,level,m,-2.5e-05,,-2.3,0.02,,,,high,Distance to nearest recreational park (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,PRIMARYSCH,school_distance,D_location,level,m,6.6e-05,,3.9,0.0,,,,high,Distance to nearest primary school (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,HP_SECONDARYSCH,school_distance,D_location,level,m,-6.5e-05,,-7.4,0.0,,,,high,Distance to nearest high-performing secondary school (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,CBD,cbd_distance,D_location,level,m,-2.3e-05,,-3.5,0.0,,,,high,Distance to central business district (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,FOREST,green_space,E_environment,level,m,-3.2e-05,,-3.0,0.0,,,,high,Distance to nearest forest (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e,3777ce734c4a5c9380dfa227ede8503f4f25b44e:T2-c1,2,1,5,INDUSTRIAL,hazard_site,E_environment,level,m,3.3e-05,,6.0,0.0,,,,high,Distance to nearest industrial area (m). t-ratio and p-value (Sig.) printed; no stars used.,ln sale price (MYR),log,OLS,1419.0,0.62,t,"Double-storey terraced houses, Greater Kuala Lumpur, 2009-2010; R2 from text (62%), not printed in table"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(AREA),living_area,A_structural,log,m2,0.89,,8.35,0.0,,,,high,Floor space 50-200 m2,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(DECORATION),condition,A_structural,log,index,0.04,,1.59,0.11,,,,high,"Decoration grade 1-4 (ordinal), entered in log",ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(BEDROOM),bedrooms,A_structural,log,count,0.07,,0.89,0.37,,,,high,,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(HALL),other,other,log,count,0.07,,0.8,0.42,,,,high,Number of halls (living/dining rooms),ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(BATHROOM),bathrooms,A_structural,log,count,0.06,,1.1,0.27,,,,high,,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(FLOORLEVEL),floor_level,A_structural,log,count,-0.01,,-0.84,0.4,,,,high,,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(YEAR),age,A_structural,log,years,-0.16,,-5.22,0.0,,,,high,"YEAR = house age in years (mean 8.6), not year built",ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(GREENCOVERAGE),green_space,E_environment,log,share,0.05,,2.79,0.01,,,,high,Green coverage rate of the estate in percent,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(RING),other,other,log,index,0.01,,0.12,0.91,,,,high,Ring-road zone ordinal 1-4,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(DIST_CBD),cbd_distance,D_location,log,m,-0.09,,-2.04,0.04,,,,high,Distance to Yan Shi Kou CBD in metres,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T2-c1,II,1,2,LOG(UNDERGROUND),transit_distance,D_location,other,index,-0.08,,-1.9,0.06,,,,high,Log of ordinal walking-distance zone to nearest metro station (1 = <400 m ... 5 = >1600 m),ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Preliminary regression with all 11 features; R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(AREA),living_area,A_structural,log,m2,0.92,,9.06,0.0,,,,high,Floor space 50-200 m2,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(DECORATION),condition,A_structural,log,index,0.05,,1.68,0.09,,,,high,"Decoration grade 1-4 (ordinal), entered in log",ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(BEDROOM),bedrooms,A_structural,log,count,0.07,,0.94,0.35,,,,high,,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(BATHROOM),bathrooms,A_structural,log,count,0.06,,1.06,0.29,,,,high,,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(FLOORLEVEL),floor_level,A_structural,log,count,-0.01,,-0.84,0.4,,,,high,,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(YEAR),age,A_structural,log,years,-0.17,,-5.38,0.0,,,,high,"YEAR = house age in years (mean 8.6), not year built",ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(GREENCOVERAGE),green_space,E_environment,log,share,0.05,,2.76,0.01,,,,high,Green coverage rate of the estate in percent,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(DIST_CBD),cbd_distance,D_location,log,m,-0.09,,-3.83,0.0,,,,high,Distance to Yan Shi Kou CBD in metres,ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f,37a309783a11809263623703621db3a26e46597f:T3-c1,III,1,3,LOG(UNDERGROUND),transit_distance,D_location,other,index,-0.07,,-1.85,0.07,,,,high,Log of ordinal walking-distance zone to nearest metro station (1 = <400 m ... 5 = >1600 m),ln(PRICE) (asking price),log,OLS,180.0,0.72,none,"Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.833,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.563,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.338,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Bathrooms,bathrooms,A_structural,level,count,0.187,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.523,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.199,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.886,0.028,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.419,0.028,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.239,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.125,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.028,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Log. Population density,density,F_neighbourhood,log,per_ha,-0.006,,,,***,,,high,"Log of people per hectare at project location; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Log. Distance to nearest park,green_space,E_environment,log,m,0.015,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,23,Roads Index,other,other,log,share,-0.018,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,24,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.038,0.003,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,24,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.049,0.003,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,24,Log. Distance to PLMB viaduct,transit_distance,D_location,log,m,-0.02,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 1 (PLMB) viaduct; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,24,Log. Homicides,crime,F_neighbourhood,log,count,-0.027,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-BaseModel,4,Base Model,24,Log. Thefts,crime,F_neighbourhood,log,count,-0.033,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.834,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.563,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.338,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Bathrooms,bathrooms,A_structural,level,count,0.186,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.524,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.2,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.889,0.028,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.423,0.028,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.245,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.128,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.031,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Log. Population density,density,F_neighbourhood,log,per_ha,-0.006,,,,***,,,high,"Log of people per hectare at project location; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Log. Distance to nearest park,green_space,E_environment,log,m,0.015,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,23,Roads Index,other,other,log,share,-0.017,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,24,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.039,0.003,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,24,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.046,0.003,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,24,Log. Distance to PLMB viaduct,transit_distance,D_location,log,m,-0.02,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 1 (PLMB) viaduct; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,24,Log. Homicides,crime,F_neighbourhood,log,count,-0.029,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,24,Log. Thefts,crime,F_neighbourhood,log,count,-0.031,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,24,Urban Renewal,other,other,dummy,binary,0.064,0.01,,,***,,,high,Printed name Urban Renewal: project within urban renewal partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model2,4,Model 2,24,Development,other,other,dummy,binary,0.158,0.012,,,***,,,high,Printed name Development: project within urban development partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.833,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.563,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.338,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Bathrooms,bathrooms,A_structural,level,count,0.187,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.522,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.198,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.885,0.028,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.42,0.028,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.24,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.128,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.026,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Log. Population density,density,F_neighbourhood,log,per_ha,-0.006,,,,***,,,high,"Log of people per hectare at project location; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Log. Distance to nearest park,green_space,E_environment,log,m,0.015,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,23,Roads Index,other,other,log,share,-0.018,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.039,0.003,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.05,0.003,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Log. Distance to PLMB viaduct,transit_distance,D_location,log,m,-0.019,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 1 (PLMB) viaduct; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Log. Homicides,crime,F_neighbourhood,log,count,-0.027,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Log. Thefts,crime,F_neighbourhood,log,count,-0.034,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Buffer 500mts built trunk,transit_distance,D_location,dummy,binary,0.012,0.002,,,***,,,high,Within 500 m of an operating BRT (TransMilenio) trunk corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Buffer 500mts trunk under construction,transit_distance,D_location,dummy,binary,-0.019,0.003,,,***,,,high,Within 500 m of a BRT trunk under construction; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model3,4,Model 3,24,Buffer 500mts Carrera Séptima Corridor,transit_distance,D_location,dummy,binary,0.003,0.003,,,,,,high,Within 500 m of the Carrera Séptima (7th Street) corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.834,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.564,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.339,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Bathrooms,bathrooms,A_structural,level,count,0.186,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.523,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.199,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.888,0.028,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.423,0.028,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.245,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.131,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.029,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Log. Population density,density,F_neighbourhood,log,per_ha,-0.006,,,,***,,,high,"Log of people per hectare at project location; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Log. Distance to nearest park,green_space,E_environment,log,m,0.015,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,23,Roads Index,other,other,log,share,-0.016,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.04,0.003,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.047,0.003,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Log. Distance to PLMB viaduct,transit_distance,D_location,log,m,-0.019,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 1 (PLMB) viaduct; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Log. Homicides,crime,F_neighbourhood,log,count,-0.028,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Log. Thefts,crime,F_neighbourhood,log,count,-0.032,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Buffer 500mts built trunk,transit_distance,D_location,dummy,binary,0.012,0.002,,,***,,,high,Within 500 m of an operating BRT (TransMilenio) trunk corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Buffer 500mts trunk under construction,transit_distance,D_location,dummy,binary,-0.017,0.003,,,***,,,high,Within 500 m of a BRT trunk under construction; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Buffer 500mts Carrera Séptima Corridor,transit_distance,D_location,dummy,binary,0.006,0.003,,,**,,,high,Within 500 m of the Carrera Séptima (7th Street) corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Urban Renewal,other,other,dummy,binary,0.063,0.01,,,***,,,high,Printed name Urban Renewal: project within urban renewal partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T4-Model4,4,Model 4,24,Development,other,other,dummy,binary,0.157,0.012,,,***,,,high,Printed name Development: project within urban development partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"PLMB (Metro Line 1) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.824,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.555,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.333,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Bathrooms,bathrooms,A_structural,level,count,0.185,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.564,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.196,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.842,0.029,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.372,0.029,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.21,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.1,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.005,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Log. Population density,density,F_neighbourhood,log,per_ha,-0.007,,,,***,,,high,"Log of people per hectare; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Log. Distance to nearest park,green_space,E_environment,log,m,0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.01,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,37,Roads Index,other,other,log,share,-0.02,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,38,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.111,0.004,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,38,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.051,0.002,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,38,Log. Distance to L2MB,transit_distance,D_location,log,m,0.064,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 2 (L2MB) route; positive sign; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,38,Log. Homicides,crime,F_neighbourhood,log,count,-0.021,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-BaseModel,7,Base Model,38,Log. Thefts,crime,F_neighbourhood,log,count,-0.021,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.473,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; year dummies + year x isochrone interactions + 13 attributes; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.824,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.556,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.334,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Bathrooms,bathrooms,A_structural,level,count,0.184,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.563,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.197,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.845,0.029,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.375,0.029,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.215,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.102,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.006,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Log. Population density,density,F_neighbourhood,log,per_ha,-0.006,,,,***,,,high,"Log of people per hectare; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Log. Distance to nearest park,green_space,E_environment,log,m,0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.01,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,37,Roads Index,other,other,log,share,-0.018,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,38,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.115,0.004,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,38,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.047,0.003,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,38,Log. Distance to L2MB,transit_distance,D_location,log,m,0.067,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 2 (L2MB) route; positive sign; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,38,Log. Homicides,crime,F_neighbourhood,log,count,-0.023,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,38,Log. Thefts,crime,F_neighbourhood,log,count,-0.018,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,38,Urban Renewal,other,other,dummy,binary,0.079,0.01,,,***,,,high,Printed name Urban Renewal: project within urban renewal partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model2,7,Model 2,38,Development,other,other,dummy,binary,0.177,0.012,,,***,,,high,Printed name Development: project within urban development partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.823,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.554,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.333,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Bathrooms,bathrooms,A_structural,level,count,0.186,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.556,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.193,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.84,0.029,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.373,0.029,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.213,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.107,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.004,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Log. Population density,density,F_neighbourhood,log,per_ha,-0.007,,,,***,,,high,"Log of people per hectare; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Log. Distance to nearest park,green_space,E_environment,log,m,0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.01,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,37,Roads Index,other,other,log,share,-0.021,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.125,0.004,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.044,0.003,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Log. Distance to L2MB,transit_distance,D_location,log,m,0.072,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 2 (L2MB) route; positive sign; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Log. Homicides,crime,F_neighbourhood,log,count,-0.023,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Log. Thefts,crime,F_neighbourhood,log,count,-0.015,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Buffer 500mts built trunk,transit_distance,D_location,dummy,binary,0.02,0.002,,,***,,,high,Within 500 m of an operating BRT trunk corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Buffer 500mts trunk under construction,transit_distance,D_location,dummy,binary,-0.022,0.003,,,***,,,high,Within 500 m of a BRT trunk under construction; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model3,7,Model 3,38,Buffer 500mts Carrera Séptima Corridor,transit_distance,D_location,dummy,binary,-0.019,0.003,,,***,,,high,Within 500 m of the Carrera Séptima corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds BRT 500 m buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Bedrooms: 1,bedrooms,A_structural,dummy,count,0.823,0.007,,,***,,,high,1 bedroom vs reference 4 bedrooms; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Bedrooms: 2,bedrooms,A_structural,dummy,count,0.554,0.006,,,***,,,high,2 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Bedrooms: 3,bedrooms,A_structural,dummy,count,0.333,0.006,,,***,,,high,3 bedrooms vs reference 4; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Bathrooms,bathrooms,A_structural,level,count,0.185,0.002,,,***,,,high,SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Micro-apartments,dwelling_type,A_structural,dummy,binary,0.555,0.01,,,***,,,high,Housing typology micro-apartment vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Affordable housing,dwelling_type,A_structural,dummy,binary,-0.194,0.005,,,***,,,high,Housing typology affordable (VIS) vs market housing; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Socioeconomic Level: 2,income,F_neighbourhood,dummy,index,-0.843,0.029,,,***,,,high,Socioeconomic stratum 2 vs reference 1 (ordinal 1-6); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Socioeconomic Level: 3,income,F_neighbourhood,dummy,index,-0.376,0.029,,,***,,,high,Stratum 3 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Socioeconomic Level: 4,income,F_neighbourhood,dummy,index,-0.217,0.029,,,***,,,high,Stratum 4 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Socioeconomic Level: 5,income,F_neighbourhood,dummy,index,-0.108,0.029,,,***,,,high,Stratum 5 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Socioeconomic Level: 6,income,F_neighbourhood,dummy,index,-0.005,0.029,,,,,,high,Stratum 6 vs 1; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Log. Population density,density,F_neighbourhood,log,per_ha,-0.006,,,,***,,,high,"Log of people per hectare; SE printed 0.000 (rounded), stored null","Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Log. Distance to nearest park,green_space,E_environment,log,m,0.013,0.001,,,***,,,high,Log Euclidean distance (m) to nearest park; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Log. Distance to nearest equipment,public_services,F_neighbourhood,log,m,-0.01,0.001,,,***,,,high,Log Euclidean distance (m) to nearest public facility; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,37,Roads Index,other,other,log,share,-0.02,0.002,,,***,,,high,Printed name Roads Index: log of percentage of road space in cadastral sector; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Log. Distance to CBD.72,cbd_distance,D_location,log,m,-0.128,0.004,,,***,,,high,Log Euclidean distance (m) to CBD at Calle 72 / Carrera 7; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Log. Distance to nearest activity center,employment_access,D_location,log,m,-0.039,0.003,,,***,,,high,Log Euclidean distance (m) to nearest economic activity centre; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Log. Distance to L2MB,transit_distance,D_location,log,m,0.074,0.003,,,***,,,high,Log Euclidean distance (m) to future Metro Line 2 (L2MB) route; positive sign; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Log. Homicides,crime,F_neighbourhood,log,count,-0.024,0.002,,,***,,,high,Log number of homicides by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Log. Thefts,crime,F_neighbourhood,log,count,-0.012,0.004,,,***,,,high,Log number of thefts by locality (yearly); SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Buffer 500mts built trunk,transit_distance,D_location,dummy,binary,0.019,0.002,,,***,,,high,Within 500 m of an operating BRT trunk corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Buffer 500mts trunk under construction,transit_distance,D_location,dummy,binary,-0.02,0.003,,,***,,,high,Within 500 m of a BRT trunk under construction; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Buffer 500mts Carrera Séptima Corridor,transit_distance,D_location,dummy,binary,-0.018,0.003,,,***,,,high,Within 500 m of the Carrera Séptima corridor; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Urban Renewal,other,other,dummy,binary,0.076,0.01,,,***,,,high,Printed name Urban Renewal: project within urban renewal partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26,37e8b014df3e5f26ac93ad70c5f3f3c607c04c26:T7-Model4,7,Model 4,38,Development,other,other,dummy,binary,0.172,0.012,,,***,,,high,Printed name Development: project within urban development partial plan; SE printed with a spurious leading minus sign (Excel formatting artefact; note says robust SE in parentheses); absolute value stored,"Ln price per square meter of new housing unit (annual mean, COP)",per_m2,OLS,278393.0,0.474,se,"L2MB (Metro Line 2) isochrone DiD specification, 2007-2023; adds partial-plan and BRT buffer dummies; robust SE"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Finishing2,renovation,A_structural,binary,binary,1.099,,,,*,,,medium,"Interior finishing works: super or medium finishing vs demi-finishing (reference); improvement attribute; PRINTED VALUE IS exp(beta) (ln = 0.0944); Wald chi-square = 9.4; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,PhCond: Very good,condition,A_structural,dummy,binary,1.154,,,,*,,,medium,"Overall physical condition of the block: very good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.1432); Wald chi-square = 12.9; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,PhCond: Good,condition,A_structural,dummy,binary,1.078,,,,*,,,medium,"Overall physical condition of the block: good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.0751); Wald chi-square = 4.4; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Heating,heating,A_structural,binary,binary,1.062,,,,**,,,medium,"Individual boiler heating vs district/central heating (reference); PRINTED VALUE IS exp(beta) (ln = 0.0602); Wald chi-square = 4.6; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Location: Central and interm.,cbd_distance,D_location,dummy,binary,1.27,,,,*,,,medium,"Location ring within the city: central or intermediate district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.239); Wald chi-square = 56.9; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Location: Urban periphery district,cbd_distance,D_location,dummy,binary,1.191,,,,*,,,medium,"Location ring within the city: urban periphery district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1748); Wald chi-square = 27.8; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Rooms,bedrooms,A_structural,dummy,binary,1.44,,,,*,,,medium,"Two-room flat vs one-room flat (reference); number of rooms, not bedrooms; PRINTED VALUE IS exp(beta) (ln = 0.3646); Wald chi-square = 218.4; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Garage,garage,A_structural,binary,binary,1.118,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.1115); Wald chi-square = 8.1; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,NrFloors,storeys,A_structural,dummy,binary,1.061,,,,**,,,medium,"Block with more than 5 floors vs <=5 floors (reference); building height; PRINTED VALUE IS exp(beta) (ln = 0.0592); Wald chi-square = 4.9; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Type,other,other,binary,binary,1.121,,,,*,,,medium,"'Detached' flat = all rooms have direct access to a hall (layout), vs non-detached (reference); not a dwelling-type variable; PRINTED VALUE IS exp(beta) (ln = 0.1142); Wald chi-square = 20.1; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c1,2,1 (M1),10,Balcony,terrace_balcony,C_exterior,binary,binary,1.09,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0862); Wald chi-square = 12.2; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.54,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Finishing2,renovation,A_structural,binary,binary,1.084,,,,*,,,medium,"Interior finishing works: super or medium finishing vs demi-finishing (reference); improvement attribute; PRINTED VALUE IS exp(beta) (ln = 0.0807); Wald chi-square = 7.4; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,PhCond: Very good,condition,A_structural,dummy,binary,1.149,,,,*,,,medium,"Overall physical condition of the block: very good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.1389); Wald chi-square = 13.3; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,PhCond: Good,condition,A_structural,dummy,binary,1.057,,,,,,,medium,"Overall physical condition of the block: good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.0554); Wald chi-square = 2.9; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Heating,heating,A_structural,binary,binary,1.062,,,,**,,,medium,"Individual boiler heating vs district/central heating (reference); PRINTED VALUE IS exp(beta) (ln = 0.0602); Wald chi-square = 4.9; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Location: Central and interm.,cbd_distance,D_location,dummy,binary,1.25,,,,*,,,medium,"Location ring within the city: central or intermediate district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.2231); Wald chi-square = 52.4; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Location: Urban periphery district,cbd_distance,D_location,dummy,binary,1.177,,,,*,,,medium,"Location ring within the city: urban periphery district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.163); Wald chi-square = 24.8; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Rooms,bedrooms,A_structural,dummy,binary,1.419,,,,*,,,medium,"Two-room flat vs one-room flat (reference); number of rooms, not bedrooms; PRINTED VALUE IS exp(beta) (ln = 0.35); Wald chi-square = 213.5; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Garage,garage,A_structural,binary,binary,1.115,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.1089); Wald chi-square = 8.1; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,NrFloors,storeys,A_structural,dummy,binary,1.046,,,,,,,medium,"Block with more than 5 floors vs <=5 floors (reference); building height; PRINTED VALUE IS exp(beta) (ln = 0.045); Wald chi-square = 3.06; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Type,other,other,binary,binary,1.12,,,,*,,,medium,"'Detached' flat = all rooms have direct access to a hall (layout), vs non-detached (reference); not a dwelling-type variable; PRINTED VALUE IS exp(beta) (ln = 0.1133); Wald chi-square = 21.1; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c2,2,2 (M2),10,Balcony,terrace_balcony,C_exterior,binary,binary,1.08,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.077); Wald chi-square = 10.3; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.5,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Finishing2,renovation,A_structural,binary,binary,1.096,,,,*,,,medium,"Interior finishing works: super or medium finishing vs demi-finishing (reference); improvement attribute; PRINTED VALUE IS exp(beta) (ln = 0.0917); Wald chi-square = 8.3; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,PhCond: Very good,condition,A_structural,dummy,binary,1.183,,,,*,,,medium,"Overall physical condition of the block: very good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.1681); Wald chi-square = 16.3; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,PhCond: Good,condition,A_structural,dummy,binary,1.081,,,,**,,,medium,"Overall physical condition of the block: good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.0779); Wald chi-square = 4.5; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Heating,heating,A_structural,binary,binary,1.067,,,,**,,,medium,"Individual boiler heating vs district/central heating (reference); PRINTED VALUE IS exp(beta) (ln = 0.0649); Wald chi-square = 4.6; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Location: Central and interm.,cbd_distance,D_location,dummy,binary,1.26,,,,*,,,medium,"Location ring within the city: central or intermediate district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.2311); Wald chi-square = 44.8; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Location: Urban periphery district,cbd_distance,D_location,dummy,binary,1.199,,,,*,,,medium,"Location ring within the city: urban periphery district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1815); Wald chi-square = 23.6; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Rooms,bedrooms,A_structural,dummy,binary,1.424,,,,*,,,medium,"Two-room flat vs one-room flat (reference); number of rooms, not bedrooms; PRINTED VALUE IS exp(beta) (ln = 0.3535); Wald chi-square = 184.9; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Garage,garage,A_structural,binary,binary,1.114,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.108); Wald chi-square = 5.1; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,NrFloors,storeys,A_structural,dummy,binary,1.058,,,,,,,medium,"Block with more than 5 floors vs <=5 floors (reference); building height; PRINTED VALUE IS exp(beta) (ln = 0.0564); Wald chi-square = 3.5; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Type,other,other,binary,binary,1.12,,,,*,,,medium,"'Detached' flat = all rooms have direct access to a hall (layout), vs non-detached (reference); not a dwelling-type variable; PRINTED VALUE IS exp(beta) (ln = 0.1133); Wald chi-square = 16.8; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c3,2,3 (M3),10,Balcony,terrace_balcony,C_exterior,binary,binary,1.081,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0779); Wald chi-square = 8.4; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.45,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Finishing2,renovation,A_structural,binary,binary,1.095,,,,*,,,medium,"Interior finishing works: super or medium finishing vs demi-finishing (reference); improvement attribute; PRINTED VALUE IS exp(beta) (ln = 0.0908); Wald chi-square = 10.5; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,PhCond: Very good,condition,A_structural,dummy,binary,1.15,,,,*,,,medium,"Overall physical condition of the block: very good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.1398); Wald chi-square = 15.7; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,PhCond: Good,condition,A_structural,dummy,binary,1.091,,,,*,,,medium,"Overall physical condition of the block: good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.0871); Wald chi-square = 7.0; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Location: Central and interm.,cbd_distance,D_location,dummy,binary,1.217,,,,*,,,medium,"Location ring within the city: central or intermediate district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1964); Wald chi-square = 45.7; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Location: Urban periphery district,cbd_distance,D_location,dummy,binary,1.138,,,,*,,,medium,"Location ring within the city: urban periphery district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1293); Wald chi-square = 17.6; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Area,living_area,A_structural,level,m2,1.017,,,,*,,,medium,"Floor area in m2; PRINTED VALUE IS exp(beta) (ln = 0.0169); Wald chi-square = 375.1; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Type,other,other,binary,binary,1.041,,,,**,,,medium,"'Detached' flat = all rooms have direct access to a hall (layout), vs non-detached (reference); not a dwelling-type variable; PRINTED VALUE IS exp(beta) (ln = 0.0402); Wald chi-square = 2.8; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Balcony,terrace_balcony,C_exterior,binary,binary,1.067,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0649); Wald chi-square = 8.1; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Elevator,accessibility,B_interior,binary,binary,1.062,,,,**,,,medium,"Existence of an elevator; PRINTED VALUE IS exp(beta) (ln = 0.0602); Wald chi-square = 6.1; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c4,2,4 (M4),10,Floor2,floor_level,A_structural,dummy,binary,1.066,,,,*,,,medium,"Intermediate floor vs ground or last floor (reference); PRINTED VALUE IS exp(beta) (ln = 0.0639); Wald chi-square = 8.1; stars: * 1%, ** 5%",sale price of the flat (EUR),log,OLS,483.0,0.61,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,Finishing2,renovation,A_structural,binary,binary,1.077,,,,*,,,medium,"Interior finishing works: super or medium finishing vs demi-finishing (reference); improvement attribute; PRINTED VALUE IS exp(beta) (ln = 0.0742); Wald chi-square = 8.4; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,PhCond: Very good,condition,A_structural,dummy,binary,1.127,,,,*,,,medium,"Overall physical condition of the block: very good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.1196); Wald chi-square = 41.7; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,PhCond: Good,condition,A_structural,dummy,binary,1.056,,,,*,,,medium,"Overall physical condition of the block: good vs unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.0545); Wald chi-square = 15.4; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,Location: Central and interm.,cbd_distance,D_location,dummy,binary,1.192,,,,*,,,medium,"Location ring within the city: central or intermediate district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1756); Wald chi-square = 41.9; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,Location: Urban periphery district,cbd_distance,D_location,dummy,binary,1.117,,,,*,,,medium,"Location ring within the city: urban periphery district vs suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1106); Wald chi-square = 14.5; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,Area,living_area,A_structural,level,m2,1.018,,,,*,,,medium,"Floor area in m2; PRINTED VALUE IS exp(beta) (ln = 0.0178); Wald chi-square = 438.6; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,Balcony,terrace_balcony,C_exterior,binary,binary,1.061,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0592); Wald chi-square = 7.3; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,Elevator,accessibility,B_interior,binary,binary,1.057,,,,**,,,medium,"Existence of an elevator; PRINTED VALUE IS exp(beta) (ln = 0.0554); Wald chi-square = 6.2; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T2-c5,2,5 (M5),10,Floor2,floor_level,A_structural,dummy,binary,1.061,,,,*,,,medium,"Intermediate floor vs ground or last floor (reference); PRINTED VALUE IS exp(beta) (ln = 0.0592); Wald chi-square = 8.1; stars: * 1%, ** 5%",sale price of the flat (EUR),other,other,483.0,0.62,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,Finishing: Superior,renovation,A_structural,dummy,binary,1.106,,,,**,,,medium,"Superior finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.1007); Wald chi-square = 5.7; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,Finishing: Medium,renovation,A_structural,dummy,binary,1.066,,,,,,,medium,"Medium finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.0639); Wald chi-square = None; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,PhCond2,condition,A_structural,binary,binary,1.103,,,,*,,,medium,"Physical condition of the block very good vs good or unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.098); Wald chi-square = 9.4; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,Location: Central,cbd_distance,D_location,dummy,binary,1.263,,,,*,,,medium,"Central district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.2335); Wald chi-square = 45.6; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,Location: Intermediate,cbd_distance,D_location,dummy,binary,1.064,,,,**,,,medium,"Intermediate district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.062); Wald chi-square = 4.6; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,Rooms,bedrooms,A_structural,dummy,binary,1.298,,,,*,,,medium,"Two-room flat vs one-room flat (reference); number of rooms, not bedrooms; PRINTED VALUE IS exp(beta) (ln = 0.2608); Wald chi-square = 94.9; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,Garage,garage,A_structural,binary,binary,1.29,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.2546); Wald chi-square = 30.5; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c1,3,1 (M1),12,Balcony,terrace_balcony,C_exterior,binary,binary,1.08,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.077); Wald chi-square = 8.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.5,none,"M1: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,Finishing: Superior,renovation,A_structural,dummy,binary,1.096,,,,**,,,medium,"Superior finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.0917); Wald chi-square = 4.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,Finishing: Medium,renovation,A_structural,dummy,binary,1.065,,,,,,,medium,"Medium finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.063); Wald chi-square = 3.3; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,PhCond2,condition,A_structural,binary,binary,1.131,,,,*,,,medium,"Physical condition of the block very good vs good or unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.1231); Wald chi-square = 15.7; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,Location: Central,cbd_distance,D_location,dummy,binary,1.266,,,,*,,,medium,"Central district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.2359); Wald chi-square = 45.1; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,Location: Intermediate,cbd_distance,D_location,dummy,binary,1.051,,,,*,,,medium,"Intermediate district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.0497); Wald chi-square = 3.7; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,Rooms,bedrooms,A_structural,dummy,binary,1.302,,,,*,,,medium,"Two-room flat vs one-room flat (reference); number of rooms, not bedrooms; PRINTED VALUE IS exp(beta) (ln = 0.2639); Wald chi-square = 100.5; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,Garage,garage,A_structural,binary,binary,1.3,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.2624); Wald chi-square = 33.1; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c2,3,2 (M2),12,Balcony,terrace_balcony,C_exterior,binary,binary,1.077,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0742); Wald chi-square = 8.1; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.51,none,M2: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,Finishing: Superior,renovation,A_structural,dummy,binary,1.1,,,,*,,,medium,"Superior finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.0953); Wald chi-square = 5.5; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,Finishing: Medium,renovation,A_structural,dummy,binary,1.059,,,,,,,medium,"Medium finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.0573); Wald chi-square = 2.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,PhCond2,condition,A_structural,binary,binary,1.14,,,,*,,,medium,"Physical condition of the block very good vs good or unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.131); Wald chi-square = 16.7; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,Location: Central,cbd_distance,D_location,dummy,binary,1.245,,,,*,,,medium,"Central district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.2191); Wald chi-square = 36.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,Location: Intermediate,cbd_distance,D_location,dummy,binary,1.041,,,,,,,medium,"Intermediate district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.0402); Wald chi-square = 1.9; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,Rooms,bedrooms,A_structural,dummy,binary,1.299,,,,*,,,medium,"Two-room flat vs one-room flat (reference); number of rooms, not bedrooms; PRINTED VALUE IS exp(beta) (ln = 0.2616); Wald chi-square = 100.3; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,Garage,garage,A_structural,binary,binary,1.274,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.2422); Wald chi-square = 18.2; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c3,3,3 (M3),12,Balcony,terrace_balcony,C_exterior,binary,binary,1.074,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0714); Wald chi-square = 7.4; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.49,none,M3: In.Gauss-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses number of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,Finishing: Superior,renovation,A_structural,dummy,binary,1.118,,,,*,,,medium,"Superior finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.1115); Wald chi-square = 7.9; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,Finishing: Medium,renovation,A_structural,dummy,binary,1.066,,,,**,,,medium,"Medium finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.0639); Wald chi-square = 3.9; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,PhCond2,condition,A_structural,binary,binary,1.084,,,,**,,,medium,"Physical condition of the block very good vs good or unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.0807); Wald chi-square = 5.6; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,Location: Central,cbd_distance,D_location,dummy,binary,1.199,,,,*,,,medium,"Central district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1815); Wald chi-square = 27.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,Location: Intermediate,cbd_distance,D_location,dummy,binary,1.061,,,,**,,,medium,"Intermediate district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.0592); Wald chi-square = 4.7; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,Area,living_area,A_structural,level,m2,1.01,,,,*,,,medium,"Floor area in m2; PRINTED VALUE IS exp(beta) (ln = 0.01); Wald chi-square = 159.6; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,Garage,garage,A_structural,binary,binary,1.182,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.1672); Wald chi-square = 14.1; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c4,3,4 (M4),12,Balcony,terrace_balcony,C_exterior,binary,binary,1.067,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0649); Wald chi-square = 6.9; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),log,OLS,468.0,0.55,none,"M4: Log-linear GLM estimated by maximum likelihood (normal distribution, identity link on log price; equivalent to OLS log-linear); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)"
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,Finishing: Superior,renovation,A_structural,dummy,binary,1.114,,,,*,,,medium,"Superior finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.108); Wald chi-square = 7.6; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,Finishing: Medium,renovation,A_structural,dummy,binary,1.06,,,,*,,,medium,"Medium finishing works vs demi-finishing (reference); PRINTED VALUE IS exp(beta) (ln = 0.0583); Wald chi-square = 3.2; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,PhCond2,condition,A_structural,binary,binary,1.09,,,,*,,,medium,"Physical condition of the block very good vs good or unsatisfactory (reference); PRINTED VALUE IS exp(beta) (ln = 0.0862); Wald chi-square = 8.2; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,Location: Central,cbd_distance,D_location,dummy,binary,1.192,,,,*,,,medium,"Central district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.1756); Wald chi-square = 29.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,Location: Intermediate,cbd_distance,D_location,dummy,binary,1.061,,,,*,,,medium,"Intermediate district vs urban periphery/suburban areas (reference); categorical, not a distance; PRINTED VALUE IS exp(beta) (ln = 0.0592); Wald chi-square = 4.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,Area,living_area,A_structural,level,m2,1.01,,,,*,,,medium,"Floor area in m2; PRINTED VALUE IS exp(beta) (ln = 0.01); Wald chi-square = 149.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,Garage,garage,A_structural,binary,binary,1.183,,,,*,,,medium,"Existence of a garage; PRINTED VALUE IS exp(beta) (ln = 0.1681); Wald chi-square = 14.8; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc,38bde6e6f3fb947d8b6029d64eef6268c93759cc:T3-c5,3,5 (M5),12,Balcony,terrace_balcony,C_exterior,binary,binary,1.072,,,,*,,,medium,"Existence of a balcony; PRINTED VALUE IS exp(beta) (ln = 0.0695); Wald chi-square = 8.2; stars: * 1%, ** 5%",monthly rental price of the flat (EUR),other,other,468.0,0.56,none,M5: Gamma-log GLM estimated by maximum likelihood (log link on level price; coefficients are log-link semi-elasticities); uses floor area instead of rooms; parentheses = Wald chi-square; RENT model (price_type = rent)
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Secondary Water,other,other,binary,binary,0.0368,0.003,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Secondary Water,other,other,binary,binary,0.0395,0.004,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Secondary Water,other,other,binary,binary,0.0304,0.005,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Secondary Water,other,other,binary,binary,0.0198,0.01,,,**,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.151,0.007,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.106,0.011,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.1007,0.015,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.1576,0.027,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0078,0.001,,,***,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0143,0.002,,,***,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0146,0.003,,,***,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0091,0.006,,,,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Acreage,lot_size,A_structural,level,acres,0.0011,0.001,,,*,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Acreage,lot_size,A_structural,level,acres,0.0275,0.018,,,,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Acreage,lot_size,A_structural,level,acres,0.0877,0.027,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Acreage,lot_size,A_structural,level,acres,0.1766,0.036,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,House Age,age,A_structural,level,years,-0.0039,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,House Age,age,A_structural,level,years,-0.0037,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,House Age,age,A_structural,level,years,-0.0039,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,House Age,age,A_structural,level,years,-0.0038,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Bathrooms,bathrooms,A_structural,level,count,0.0287,0.001,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Bathrooms,bathrooms,A_structural,level,count,0.0238,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Bathrooms,bathrooms,A_structural,level,count,0.0256,0.003,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Bathrooms,bathrooms,A_structural,level,count,0.0263,0.008,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Bedrooms,bedrooms,A_structural,level,count,0.0697,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Bedrooms,bedrooms,A_structural,level,count,0.0603,0.003,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Bedrooms,bedrooms,A_structural,level,count,0.057,0.004,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Bedrooms,bedrooms,A_structural,level,count,0.0492,0.009,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0074,0.0,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0087,0.001,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0114,0.001,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0095,0.002,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0796,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0703,0.004,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0813,0.005,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0763,0.012,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Deck,terrace_balcony,C_exterior,binary,binary,0.0214,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Deck,terrace_balcony,C_exterior,binary,binary,0.016,0.003,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Deck,terrace_balcony,C_exterior,binary,binary,0.0067,0.005,,,,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Deck,terrace_balcony,C_exterior,binary,binary,0.0208,0.009,,,**,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Swimming Pool,pool,C_exterior,binary,binary,-0.1137,0.005,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Swimming Pool,pool,C_exterior,binary,binary,-0.0552,0.008,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Swimming Pool,pool,C_exterior,binary,binary,-0.0477,0.013,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Swimming Pool,pool,C_exterior,binary,binary,0.0418,0.047,,,,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Fireplace,fireplace,B_interior,binary,binary,0.0741,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Fireplace,fireplace,B_interior,binary,binary,0.0625,0.004,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Fireplace,fireplace,B_interior,binary,binary,0.0499,0.005,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Fireplace,fireplace,B_interior,binary,binary,0.0145,0.013,,,,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Elevation ('000ft),other,other,level,1000 ft,0.0421,0.006,,,***,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Elevation ('000ft),other,other,level,1000 ft,0.1027,0.012,,,***,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Elevation ('000ft),other,other,level,1000 ft,0.1011,0.015,,,***,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Elevation ('000ft),other,other,level,1000 ft,0.0764,0.044,,,*,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,View,view,E_environment,binary,binary,0.059,0.002,,,***,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,View,view,E_environment,binary,binary,0.0577,0.004,,,***,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,View,view,E_environment,binary,binary,0.0498,0.005,,,***,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,View,view,E_environment,binary,binary,0.029,0.012,,,**,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Cul-de-sac,other,other,binary,binary,0.0152,0.003,,,***,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Cul-de-sac,other,other,binary,binary,0.018,0.005,,,***,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Cul-de-sac,other,other,binary,binary,0.0246,0.006,,,***,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Cul-de-sac,other,other,binary,binary,0.0487,0.014,,,***,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c1,2,1,10,Corner Lot,other,other,binary,binary,0.0187,0.003,,,***,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7417,se,All houses (full sample); boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c2,2,2,10,Corner Lot,other,other,binary,binary,0.0232,0.004,,,***,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7502,se,"Houses within 1,000 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c3,2,3,10,Corner Lot,other,other,binary,binary,0.0163,0.006,,,***,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T2-c4,2,4,10,Corner Lot,other,other,binary,binary,-0.01,0.013,,,,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7733,se,Houses within 100 ft of the secondary-water boundary; boundary-segment FE + month/year FE; SE clustered by boundary segment
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Secondary Water,other,other,binary,binary,0.0078,0.003,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Secondary Water,other,other,binary,binary,0.0248,0.004,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Secondary Water,other,other,binary,binary,0.0235,0.005,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Secondary Water,other,other,binary,binary,0.0201,0.011,,,**,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.1632,0.007,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.12,0.01,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.109,0.015,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,House Size ('000 sq ft),living_area,A_structural,level,1000 sqft,0.1617,0.025,,,***,,,high,House size in thousands of square feet,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0068,0.001,,,***,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0132,0.002,,,***,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0144,0.003,,,***,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,House Size Squared,living_area,A_structural,squared,1000 sqft squared,0.0094,0.006,,,,,,high,Square of house size in thousands of sq ft,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Acreage,lot_size,A_structural,level,acres,0.0017,0.001,,,**,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Acreage,lot_size,A_structural,level,acres,0.0343,0.021,,,,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Acreage,lot_size,A_structural,level,acres,0.0975,0.027,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Acreage,lot_size,A_structural,level,acres,0.1895,0.033,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Age,age,A_structural,level,years,-0.0038,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Age,age,A_structural,level,years,-0.0038,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Age,age,A_structural,level,years,-0.0039,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Age,age,A_structural,level,years,-0.0041,0.0,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Bathrooms,bathrooms,A_structural,level,count,0.0246,0.001,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Bathrooms,bathrooms,A_structural,level,count,0.0206,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Bathrooms,bathrooms,A_structural,level,count,0.0226,0.003,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Bathrooms,bathrooms,A_structural,level,count,0.0231,0.008,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Bedrooms,bedrooms,A_structural,level,count,0.0677,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Bedrooms,bedrooms,A_structural,level,count,0.0598,0.003,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Bedrooms,bedrooms,A_structural,level,count,0.0572,0.004,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Bedrooms,bedrooms,A_structural,level,count,0.0471,0.008,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0114,0.0,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0113,0.001,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0115,0.001,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Downtown Ogden (min),cbd_distance,D_location,level,minutes,0.0096,0.002,,,***,,,high,Travel time in minutes to downtown Ogden (CBD) via Google Maps API; positive sign as printed,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0681,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0629,0.004,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0796,0.005,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Air Conditioning,air_conditioning,A_structural,binary,binary,0.0771,0.012,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Deck,terrace_balcony,C_exterior,binary,binary,0.0233,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Deck,terrace_balcony,C_exterior,binary,binary,0.0174,0.003,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Deck,terrace_balcony,C_exterior,binary,binary,0.0084,0.005,,,*,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Deck,terrace_balcony,C_exterior,binary,binary,0.0211,0.009,,,**,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Swimming Pool,pool,C_exterior,binary,binary,-0.1057,0.005,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Swimming Pool,pool,C_exterior,binary,binary,-0.07,0.008,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Swimming Pool,pool,C_exterior,binary,binary,-0.0723,0.012,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Swimming Pool,pool,C_exterior,binary,binary,0.0417,0.042,,,,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Fireplace,fireplace,B_interior,binary,binary,0.075,0.002,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Fireplace,fireplace,B_interior,binary,binary,0.0642,0.004,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Fireplace,fireplace,B_interior,binary,binary,0.0493,0.006,,,***,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Fireplace,fireplace,B_interior,binary,binary,0.0118,0.012,,,,,,high,,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Elevation ('000ft),other,other,level,1000 ft,0.0379,0.007,,,***,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Elevation ('000ft),other,other,level,1000 ft,0.0545,0.014,,,***,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Elevation ('000ft),other,other,level,1000 ft,0.0565,0.018,,,***,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Elevation ('000ft),other,other,level,1000 ft,0.0539,0.046,,,,,,high,Elevation of the property in thousands of feet (ArcMap),"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,View,view,E_environment,binary,binary,0.0615,0.002,,,***,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,View,view,E_environment,binary,binary,0.0555,0.004,,,***,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,View,view,E_environment,binary,binary,0.0496,0.005,,,***,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,View,view,E_environment,binary,binary,0.0355,0.011,,,***,,,high,Mountain view mentioned in property description,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Cul-de-sac,other,other,binary,binary,0.0108,0.003,,,***,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Cul-de-sac,other,other,binary,binary,0.016,0.005,,,***,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Cul-de-sac,other,other,binary,binary,0.0229,0.006,,,***,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Cul-de-sac,other,other,binary,binary,0.036,0.014,,,**,,,high,Lot located in a cul-de-sac,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c1,3,1,11,Corner Lot,other,other,binary,binary,0.0159,0.003,,,***,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7343,se,All houses (full sample); neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c2,3,2,11,Corner Lot,other,other,binary,binary,0.0239,0.004,,,***,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7431,se,"Houses within 1,000 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c3,3,3,11,Corner Lot,other,other,binary,binary,0.0186,0.006,,,***,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7419,se,Houses within 500 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T3-c4,3,4,11,Corner Lot,other,other,binary,binary,-0.0136,0.014,,,,,,high,Corner lot indicator,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; neighbourhood (Neighborhood Scout) FE + month/year FE; SE clustered by neighbourhood (table footer still prints 'Boundary FE')
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T4-c1,4,1,12,Secondary Water,other,other,binary,binary,0.0363,0.003,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,53027.0,0.743,se,All houses (full sample); non-summer month sales only (June-August excluded); full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T4-c2,4,2,12,Secondary Water,other,other,binary,binary,0.0404,0.004,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,16041.0,0.7491,se,"Houses within 1,000 ft of the secondary-water boundary; non-summer month sales only (June-August excluded); full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T4-c3,4,3,12,Secondary Water,other,other,binary,binary,0.0343,0.006,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,8103.0,0.7489,se,Houses within 500 ft of the secondary-water boundary; non-summer month sales only (June-August excluded); full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T4-c4,4,4,12,Secondary Water,other,other,binary,binary,0.022,0.011,,,*,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,1379.0,0.7985,se,Houses within 100 ft of the secondary-water boundary; non-summer month sales only (June-August excluded); full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c1,5,1,13,Secondary Water,other,other,binary,binary,0.0371,0.003,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7406,se,All houses (full sample); adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c2,5,2,13,Secondary Water,other,other,binary,binary,0.0403,0.004,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7483,se,"Houses within 1,000 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c3,5,3,13,Secondary Water,other,other,binary,binary,0.0348,0.006,,,***,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7441,se,Houses within 500 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c4,5,4,13,Secondary Water,other,other,binary,binary,0.021,0.01,,,**,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7688,se,Houses within 100 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c1,5,1,13,Summer,transaction_timing,G_market,binary,binary,0.0199,0.004,,,***,,,high,Sale occurred in June-August,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7406,se,All houses (full sample); adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c2,5,2,13,Summer,transaction_timing,G_market,binary,binary,0.0257,0.006,,,***,,,high,Sale occurred in June-August,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7483,se,"Houses within 1,000 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c3,5,3,13,Summer,transaction_timing,G_market,binary,binary,0.0352,0.008,,,***,,,high,Sale occurred in June-August,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7441,se,Houses within 500 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c4,5,4,13,Summer,transaction_timing,G_market,binary,binary,0.0699,0.02,,,***,,,high,Sale occurred in June-August,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7688,se,Houses within 100 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c1,5,1,13,Secondary*Summer,other,other,other,binary x binary,-0.0013,0.005,,,,,,high,Interaction secondary water access x summer sale,"Natural log of the real house price (sold price, $)",log,OLS,74375.0,0.7406,se,All houses (full sample); adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c2,5,2,13,Secondary*Summer,other,other,other,binary x binary,-0.003,0.007,,,,,,high,Interaction secondary water access x summer sale,"Natural log of the real house price (sold price, $)",log,OLS,22454.0,0.7483,se,"Houses within 1,000 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE"
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c3,5,3,13,Secondary*Summer,other,other,other,binary x binary,-0.0136,0.01,,,,,,high,Interaction secondary water access x summer sale,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7441,se,Houses within 500 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T5-c4,5,4,13,Secondary*Summer,other,other,other,binary x binary,-0.0226,0.025,,,,,,high,Interaction secondary water access x summer sale,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7688,se,Houses within 100 ft of the secondary-water boundary; adds Summer dummy and Secondary*Summer interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c1,6,1,14,Secondary Water,other,other,binary,binary,0.0275,0.012,,,*,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design; main effect in interacted specification,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; adds Secondary*Acres interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c2,6,2,14,Secondary Water,other,other,binary,binary,0.0223,0.011,,,**,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design; main effect in interacted specification,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7734,se,Houses within 100 ft of the secondary-water boundary; adds Secondary*Acres interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c3,6,3,14,Secondary Water,other,other,binary,binary,0.075,0.016,,,**,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design; main effect in interacted specification,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7466,se,Houses within 500 ft of the secondary-water boundary; adds Secondary*Sqft interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c4,6,4,14,Secondary Water,other,other,binary,binary,0.0756,0.032,,,*,,,high,Access to unmetered secondary (irrigation) water right; binary treatment variable of a spatial RDD design; main effect in interacted specification,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; adds Secondary*Sqft interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c1,6,1,14,Secondary*Acres,other,other,other,binary x acres,0.0115,0.047,,,,,,high,Interaction secondary water x lot acreage,"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7462,se,Houses within 500 ft of the secondary-water boundary; adds Secondary*Acres interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c2,6,2,14,Secondary*Acres,other,other,other,binary x acres,-0.0314,0.065,,,,,,high,Interaction secondary water x lot acreage,"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7734,se,Houses within 100 ft of the secondary-water boundary; adds Secondary*Acres interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c3,6,3,14,Secondary*Sqft,other,other,other,binary x 1000 sqft,-0.0231,0.008,,,**,,,high,Interaction secondary water x house size ('000 sq ft),"Natural log of the real house price (sold price, $)",log,OLS,11385.0,0.7466,se,Houses within 500 ft of the secondary-water boundary; adds Secondary*Sqft interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5,38bf59597966e99f31288b3b3bfbe1d0b22ac0b5:T6-c4,6,4,14,Secondary*Sqft,other,other,other,binary x 1000 sqft,-0.0327,0.015,,,*,,,high,Interaction secondary water x house size ('000 sq ft),"Natural log of the real house price (sold price, $)",log,OLS,1906.0,0.7741,se,Houses within 100 ft of the secondary-water boundary; adds Secondary*Sqft interaction; full Table 2 controls included but not printed; boundary FE + month/year FE; clustered SE
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Bathrooms,bathrooms,A_structural,level,count,0.324,0.036,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Bathrooms,bathrooms,A_structural,level,count,0.323,0.036,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Bathrooms,bathrooms,A_structural,level,count,0.583,0.131,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Bathrooms,bathrooms,A_structural,level,count,0.584,0.132,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Bathrooms,bathrooms,A_structural,level,count,1.08,0.167,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Bathrooms,bathrooms,A_structural,level,count,1.11,0.171,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,"Living Space (1,000s square feet)",living_area,A_structural,level,1000 sqft,1.092,0.033,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,"Living Space (1,000s square feet)",living_area,A_structural,level,1000 sqft,1.091,0.033,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,"Living Space (1,000s square feet)",living_area,A_structural,level,1000 sqft,1.247,0.139,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,"Living Space (1,000s square feet)",living_area,A_structural,level,1000 sqft,1.249,0.14,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,"Living Space (1,000s square feet)",living_area,A_structural,level,1000 sqft,1.338,0.221,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,"Living Space (1,000s square feet)",living_area,A_structural,level,1000 sqft,1.371,0.226,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Lot size (100s acres),lot_size,A_structural,level,100 acres,3.137,0.58,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Lot size (100s acres),lot_size,A_structural,level,100 acres,3.133,0.579,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Lot size (100s acres),lot_size,A_structural,level,100 acres,5.604,0.686,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Lot size (100s acres),lot_size,A_structural,level,100 acres,5.609,0.687,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Lot size (100s acres),lot_size,A_structural,level,100 acres,11.074,1.563,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Lot size (100s acres),lot_size,A_structural,level,100 acres,11.376,1.602,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Age (50 years),age,A_structural,level,50 years,-0.218,0.023,,,***,,,high,"Age measured in units of 50 years; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Age (50 years),age,A_structural,level,50 years,-0.218,0.023,,,***,,,high,"Age measured in units of 50 years; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Age (50 years),age,A_structural,level,50 years,-0.27,0.051,,,***,,,high,"Age measured in units of 50 years; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Age (50 years),age,A_structural,level,50 years,-0.269,0.051,,,***,,,high,"Age measured in units of 50 years; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Age (50 years),age,A_structural,level,50 years,-0.589,0.076,,,***,,,high,"Age measured in units of 50 years; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Age (50 years),age,A_structural,level,50 years,-0.601,0.078,,,***,,,high,"Age measured in units of 50 years; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Age squared,age,A_structural,squared,(50 years) squared,0.005,0.001,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Age squared,age,A_structural,squared,(50 years) squared,0.005,0.001,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Age squared,age,A_structural,squared,(50 years) squared,0.004,0.001,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Age squared,age,A_structural,squared,(50 years) squared,0.004,0.001,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Age squared,age,A_structural,squared,(50 years) squared,0.012,0.002,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Age squared,age,A_structural,squared,(50 years) squared,0.012,0.002,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Cabin (0/1),dwelling_type,A_structural,binary,binary,-0.317,0.25,,,,,,high,"Cabin dwelling indicator; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Cabin (0/1),dwelling_type,A_structural,binary,binary,-0.311,0.249,,,,,,high,"Cabin dwelling indicator; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Cabin (0/1),dwelling_type,A_structural,binary,binary,0.717,0.368,,,*,,,high,"Cabin dwelling indicator; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Cabin (0/1),dwelling_type,A_structural,binary,binary,0.714,0.369,,,*,,,high,"Cabin dwelling indicator; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Cabin (0/1),dwelling_type,A_structural,binary,binary,1.685,0.783,,,**,,,high,"Cabin dwelling indicator; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Cabin (0/1),dwelling_type,A_structural,binary,binary,1.744,0.81,,,**,,,high,"Cabin dwelling indicator; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Distance to water (miles),water_proximity,E_environment,level,miles,-0.171,0.041,,,***,,,high,"Minimum distance from home to coastline; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Distance to water (miles),water_proximity,E_environment,level,miles,-0.171,0.041,,,***,,,high,"Minimum distance from home to coastline; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Distance to water (miles),water_proximity,E_environment,level,miles,-0.237,0.172,,,,,,high,"Minimum distance from home to coastline; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Distance to water (miles),water_proximity,E_environment,level,miles,-0.244,0.173,,,,,,high,"Minimum distance from home to coastline; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Distance to water (miles),water_proximity,E_environment,level,miles,-0.396,0.252,,,,,,high,"Minimum distance from home to coastline; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Distance to water (miles),water_proximity,E_environment,level,miles,-0.301,0.259,,,,,,high,"Minimum distance from home to coastline; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Distance sq to water (miles),water_proximity,E_environment,squared,miles squared,0.018,0.006,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Distance sq to water (miles),water_proximity,E_environment,squared,miles squared,0.018,0.006,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Distance sq to water (miles),water_proximity,E_environment,squared,miles squared,0.067,0.031,,,**,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Distance sq to water (miles),water_proximity,E_environment,squared,miles squared,0.068,0.031,,,**,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Distance sq to water (miles),water_proximity,E_environment,squared,miles squared,0.112,0.043,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Distance sq to water (miles),water_proximity,E_environment,squared,miles squared,0.101,0.044,,,**,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,View of water (% 2-mile buffer),view,E_environment,level,share (% water within 2-mile buffer),2.282,0.141,,,***,,,high,"Percentage of water within a 2-mile buffer around the home, proxy for water view; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,View of water (% 2-mile buffer),view,E_environment,level,share (% water within 2-mile buffer),2.289,0.142,,,***,,,high,"Percentage of water within a 2-mile buffer around the home, proxy for water view; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,View of water (% 2-mile buffer),view,E_environment,level,share (% water within 2-mile buffer),3.396,0.473,,,***,,,high,"Percentage of water within a 2-mile buffer around the home, proxy for water view; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,View of water (% 2-mile buffer),view,E_environment,level,share (% water within 2-mile buffer),3.397,0.474,,,***,,,high,"Percentage of water within a 2-mile buffer around the home, proxy for water view; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,View of water (% 2-mile buffer),view,E_environment,level,share (% water within 2-mile buffer),5.458,0.751,,,***,,,high,"Percentage of water within a 2-mile buffer around the home, proxy for water view; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,View of water (% 2-mile buffer),view,E_environment,level,share (% water within 2-mile buffer),6.14,0.789,,,***,,,high,"Percentage of water within a 2-mile buffer around the home, proxy for water view; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Waterfront (0/1),waterfront,C_exterior,binary,binary,1.333,0.101,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Waterfront (0/1),waterfront,C_exterior,binary,binary,1.333,0.101,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Waterfront (0/1),waterfront,C_exterior,binary,binary,1.545,0.172,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Waterfront (0/1),waterfront,C_exterior,binary,binary,1.549,0.172,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Waterfront (0/1),waterfront,C_exterior,binary,binary,2.848,0.297,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Waterfront (0/1),waterfront,C_exterior,binary,binary,2.941,0.304,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,16,Govt. Beach/Dock (0/1),green_space,E_environment,binary,binary,0.221,0.121,,,*,,,high,"Home within 1,000 ft of a government-managed or conserved beach, dock, park or land; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,16,Govt. Beach/Dock (0/1),green_space,E_environment,binary,binary,0.219,0.121,,,*,,,high,"Home within 1,000 ft of a government-managed or conserved beach, dock, park or land; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,16,Govt. Beach/Dock (0/1),green_space,E_environment,binary,binary,0.118,0.269,,,,,,high,"Home within 1,000 ft of a government-managed or conserved beach, dock, park or land; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,16,Govt. Beach/Dock (0/1),green_space,E_environment,binary,binary,0.115,0.27,,,,,,high,"Home within 1,000 ft of a government-managed or conserved beach, dock, park or land; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,16,Govt. Beach/Dock (0/1),green_space,E_environment,binary,binary,0.865,0.309,,,***,,,high,"Home within 1,000 ft of a government-managed or conserved beach, dock, park or land; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,16,Govt. Beach/Dock (0/1),green_space,E_environment,binary,binary,0.886,0.316,,,***,,,high,"Home within 1,000 ft of a government-managed or conserved beach, dock, park or land; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,17,Elevation (100s feet),other,other,level,100 ft,-0.101,0.027,,,***,,,high,"Elevation of the home (proxy for view); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,17,Elevation (100s feet),other,other,level,100 ft,-0.101,0.027,,,***,,,high,"Elevation of the home (proxy for view); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,17,Elevation (100s feet),other,other,level,100 ft,-0.328,0.122,,,***,,,high,"Elevation of the home (proxy for view); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,17,Elevation (100s feet),other,other,level,100 ft,-0.329,0.122,,,***,,,high,"Elevation of the home (proxy for view); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,17,Elevation (100s feet),other,other,level,100 ft,0.029,0.081,,,,,,high,"Elevation of the home (proxy for view); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,17,Elevation (100s feet),other,other,level,100 ft,0.038,0.083,,,,,,high,"Elevation of the home (proxy for view); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,17,Seasonal homes (% census tract),other,other,level,share (%),-0.007,0.003,,,**,,,high,"Proportion of seasonal housing units in census tract (ACS); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,17,Seasonal homes (% census tract),other,other,level,share (%),-0.007,0.003,,,**,,,high,"Proportion of seasonal housing units in census tract (ACS); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,17,Seasonal homes (% census tract),other,other,level,share (%),-0.024,0.057,,,,,,high,"Proportion of seasonal housing units in census tract (ACS); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,17,Seasonal homes (% census tract),other,other,level,share (%),-0.025,0.057,,,,,,high,"Proportion of seasonal housing units in census tract (ACS); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,17,Seasonal homes (% census tract),other,other,level,share (%),-0.068,0.063,,,,,,high,"Proportion of seasonal housing units in census tract (ACS); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,17,Seasonal homes (% census tract),other,other,level,share (%),-0.087,0.067,,,,,,high,"Proportion of seasonal housing units in census tract (ACS); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,17,"Median income ($10,000s)",income,F_neighbourhood,level,10000 USD,0.004,0.015,,,,,,high,"Median household income in the home's census tract (ACS 2012-2014); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,17,"Median income ($10,000s)",income,F_neighbourhood,level,10000 USD,0.005,0.015,,,,,,high,"Median household income in the home's census tract (ACS 2012-2014); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,17,"Median income ($10,000s)",income,F_neighbourhood,level,10000 USD,-1.245,0.45,,,***,,,high,"Median household income in the home's census tract (ACS 2012-2014); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,17,"Median income ($10,000s)",income,F_neighbourhood,level,10000 USD,-1.241,0.451,,,***,,,high,"Median household income in the home's census tract (ACS 2012-2014); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,17,"Median income ($10,000s)",income,F_neighbourhood,level,10000 USD,0.613,0.343,,,*,,,high,"Median household income in the home's census tract (ACS 2012-2014); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,17,"Median income ($10,000s)",income,F_neighbourhood,level,10000 USD,0.639,0.352,,,*,,,high,"Median household income in the home's census tract (ACS 2012-2014); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,17,"Spending per student ($1,000s)",school_quality,F_neighbourhood,level,1000 USD per student,0.048,0.032,,,,,,high,"School district expenditure per student 2014-2015 (proxy for school quality); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,17,"Spending per student ($1,000s)",school_quality,F_neighbourhood,level,1000 USD per student,0.049,0.032,,,,,,high,"School district expenditure per student 2014-2015 (proxy for school quality); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,17,"Spending per student ($1,000s)",school_quality,F_neighbourhood,level,1000 USD per student,0.043,0.049,,,,,,high,"School district expenditure per student 2014-2015 (proxy for school quality); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,17,"Spending per student ($1,000s)",school_quality,F_neighbourhood,level,1000 USD per student,0.042,0.049,,,,,,high,"School district expenditure per student 2014-2015 (proxy for school quality); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,17,"Spending per student ($1,000s)",school_quality,F_neighbourhood,level,1000 USD per student,0.141,0.073,,,*,,,high,"School district expenditure per student 2014-2015 (proxy for school quality); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,17,"Spending per student ($1,000s)",school_quality,F_neighbourhood,level,1000 USD per student,0.136,0.074,,,*,,,high,"School district expenditure per student 2014-2015 (proxy for school quality); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,17,Sale in winter (0/1),transaction_timing,G_market,binary,binary,-0.144,0.041,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,17,Sale in winter (0/1),transaction_timing,G_market,binary,binary,-0.144,0.041,,,***,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,17,Sale in winter (0/1),transaction_timing,G_market,binary,binary,-0.065,0.149,,,,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,17,Sale in winter (0/1),transaction_timing,G_market,binary,binary,-0.067,0.149,,,,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,17,Sale in winter (0/1),transaction_timing,G_market,binary,binary,-0.054,0.195,,,,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,17,Sale in winter (0/1),transaction_timing,G_market,binary,binary,-0.06,0.201,,,,,,high,"coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,17,Neighborhood attitudes,other,other,level,index (time-weighted mean number of concerns at lease hearings),-0.005,0.058,,,,,,high,"House-specific time-weighted average number of concerns raised at public aquaculture lease hearings for leases within 2 miles; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,17,Neighborhood attitudes,other,other,level,index (time-weighted mean number of concerns at lease hearings),0.012,0.055,,,,,,high,"House-specific time-weighted average number of concerns raised at public aquaculture lease hearings for leases within 2 miles; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,17,Neighborhood attitudes,other,other,level,index (time-weighted mean number of concerns at lease hearings),-0.778,0.512,,,,,,high,"House-specific time-weighted average number of concerns raised at public aquaculture lease hearings for leases within 2 miles; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,17,Neighborhood attitudes,other,other,level,index (time-weighted mean number of concerns at lease hearings),-0.77,0.512,,,,,,high,"House-specific time-weighted average number of concerns raised at public aquaculture lease hearings for leases within 2 miles; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,17,Neighborhood attitudes,other,other,level,index (time-weighted mean number of concerns at lease hearings),0.0,0.335,,,,,,high,"House-specific time-weighted average number of concerns raised at public aquaculture lease hearings for leases within 2 miles; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,17,Neighborhood attitudes,other,other,level,index (time-weighted mean number of concerns at lease hearings),-0.061,0.336,,,,,,high,"House-specific time-weighted average number of concerns raised at public aquaculture lease hearings for leases within 2 miles; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c1,3,1,17,Aquaculture index (base),other,other,level,index (sum over leases within 2 miles of acres/distance),-0.885,2.922,,,,,,high,"Marine aquaculture index Q = sum_k a_ik/d_ik over active leases within 2-mile buffer (environmental (dis)amenity, coastal mariculture); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c3,3,3,17,Aquaculture index (base),other,other,level,index (sum over leases within 2 miles of acres/distance),0.694,0.215,,,***,,,high,"Marine aquaculture index Q = sum_k a_ik/d_ik over active leases within 2-mile buffer (environmental (dis)amenity, coastal mariculture); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c5,3,5,17,Aquaculture index (base),other,other,level,index (sum over leases within 2 miles of acres/distance),-23.392,10.882,,,**,,,high,"Marine aquaculture index Q = sum_k a_ik/d_ik over active leases within 2-mile buffer (environmental (dis)amenity, coastal mariculture); coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (base form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c2,3,2,17,Aquaculture index (alternate),other,other,level,index (base index x share of water in buffer),-7.894,9.837,,,,,,high,"Alternate aquaculture index scaled by portion of water within 2-mile buffer; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,5698.0,0.733,se,"Casco Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c4,3,4,17,Aquaculture index (alternate),other,other,level,index (base index x share of water in buffer),4.342,1.367,,,***,,,high,"Alternate aquaculture index scaled by portion of water within 2-mile buffer; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1238.0,0.598,se,"Damariscotta River region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29,38d51e7656f94829f9f43fba3ef936f46b613e29:T3-c6,3,6,17,Aquaculture index (alternate),other,other,level,index (base index x share of water in buffer),-57.609,24.721,,,**,,,high,"Alternate aquaculture index scaled by portion of water within 2-mile buffer; coefficient on Box-Cox transformed price (lambda ~0.10-0.14), not directly a log or level effect","Box-Cox transformed sales price (lambda estimated, 0.099-0.143)",boxcox,other,1644.0,0.59,se,"Penobscot Bay region, single-family detached homes 2012-2014; Aquaculture index (alternate form); municipality and sale-year fixed effects; Box-Cox ML with robust SE; adjusted R2"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Bedroom,bedrooms,A_structural,other,standardised (per 1 SD); count,-6173.81,,,,***,,,medium,"number of bedrooms; dependent variable is price per m2; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Bedroom,bedrooms,A_structural,other,standardised (per 1 SD); count,-6140.76,,,,***,,,medium,"number of bedrooms; dependent variable is price per m2; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Bedroom,bedrooms,A_structural,other,standardised (per 1 SD); count,-6290.89,,,,***,,,medium,"number of bedrooms; dependent variable is price per m2; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Bedroom,bedrooms,A_structural,other,standardised (per 1 SD); count,-6250.43,,,,***,,,medium,"number of bedrooms; dependent variable is price per m2; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Bedroom,bedrooms,A_structural,other,standardised (per 1 SD); count,-6254.2,,,,***,,,medium,"number of bedrooms; dependent variable is price per m2; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Bedroom,bedrooms,A_structural,other,standardised (per 1 SD); count,-6251.12,,,,***,,,medium,"number of bedrooms; dependent variable is price per m2; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Living room,other,other,other,standardised (per 1 SD); count (living rooms),6539.21,,,,***,,,medium,"number of living rooms; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Living room,other,other,other,standardised (per 1 SD); count (living rooms),6622.03,,,,***,,,medium,"number of living rooms; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Living room,other,other,other,standardised (per 1 SD); count (living rooms),6573.25,,,,***,,,medium,"number of living rooms; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Living room,other,other,other,standardised (per 1 SD); count (living rooms),6667.46,,,,***,,,medium,"number of living rooms; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Living room,other,other,other,standardised (per 1 SD); count (living rooms),6666.75,,,,***,,,medium,"number of living rooms; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Living room,other,other,other,standardised (per 1 SD); count (living rooms),6666.42,,,,***,,,medium,"number of living rooms; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Orientation West,sunlight,E_environment,other,standardised (per 1 SD); binary (west orientation),-920.33,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Orientation West,sunlight,E_environment,other,standardised (per 1 SD); binary (west orientation),-915.16,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Orientation West,sunlight,E_environment,other,standardised (per 1 SD); binary (west orientation),-915.22,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Orientation West,sunlight,E_environment,other,standardised (per 1 SD); binary (west orientation),-911.98,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Orientation West,sunlight,E_environment,other,standardised (per 1 SD); binary (west orientation),-912.2,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Orientation West,sunlight,E_environment,other,standardised (per 1 SD); binary (west orientation),-910.92,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Orientation South,sunlight,E_environment,other,standardised (per 1 SD); binary (south orientation),1346.1,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Orientation South,sunlight,E_environment,other,standardised (per 1 SD); binary (south orientation),1323.73,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Orientation South,sunlight,E_environment,other,standardised (per 1 SD); binary (south orientation),1400.0,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Orientation South,sunlight,E_environment,other,standardised (per 1 SD); binary (south orientation),1385.72,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Orientation South,sunlight,E_environment,other,standardised (per 1 SD); binary (south orientation),1385.95,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Orientation South,sunlight,E_environment,other,standardised (per 1 SD); binary (south orientation),1387.04,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Orientation East,sunlight,E_environment,other,standardised (per 1 SD); binary (east orientation),-686.05,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Orientation East,sunlight,E_environment,other,standardised (per 1 SD); binary (east orientation),-690.0,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Orientation East,sunlight,E_environment,other,standardised (per 1 SD); binary (east orientation),-690.47,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Orientation East,sunlight,E_environment,other,standardised (per 1 SD); binary (east orientation),-694.39,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Orientation East,sunlight,E_environment,other,standardised (per 1 SD); binary (east orientation),-694.22,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Orientation East,sunlight,E_environment,other,standardised (per 1 SD); binary (east orientation),-693.49,,,,***,,,medium,"orientation dummy, standardised; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Floor level 1,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 1; category 3 reference),900.32,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Floor level 1,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 1; category 3 reference),892.71,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Floor level 1,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 1; category 3 reference),865.8,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Floor level 1,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 1; category 3 reference),866.91,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Floor level 1,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 1; category 3 reference),913.8,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Floor level 1,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 1; category 3 reference),999.5,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Floor level 2,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 2; category 3 reference),917.9,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Floor level 2,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 2; category 3 reference),905.75,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Floor level 2,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 2; category 3 reference),900.98,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Floor level 2,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 2; category 3 reference),898.09,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Floor level 2,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 2; category 3 reference),779.25,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Floor level 2,floor_level,A_structural,other,standardised (per 1 SD); binary (floor level category 2; category 3 reference),1129.92,,,,***,,,medium,"floor-level category dummy (definition in Table S1); standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Housing age,age,A_structural,other,standardised (per 1 SD); years,-5238.5,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Housing age,age,A_structural,other,standardised (per 1 SD); years,-5198.79,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Housing age,age,A_structural,other,standardised (per 1 SD); years,-5112.7,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Housing age,age,A_structural,other,standardised (per 1 SD); years,-5151.89,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Housing age,age,A_structural,other,standardised (per 1 SD); years,-5156.02,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Housing age,age,A_structural,other,standardised (per 1 SD); years,-5154.19,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Distance to the closest large market,commercial_distance,D_location,other,standardised (per 1 SD); m (distance),-4271.23,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Distance to the closest large market,commercial_distance,D_location,other,standardised (per 1 SD); m (distance),-3916.23,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Distance to the closest large market,commercial_distance,D_location,other,standardised (per 1 SD); m (distance),-2350.93,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Distance to the closest large market,commercial_distance,D_location,other,standardised (per 1 SD); m (distance),-2120.37,,,,**,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Distance to the closest large market,commercial_distance,D_location,other,standardised (per 1 SD); m (distance),-2117.26,,,,**,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Distance to the closest large market,commercial_distance,D_location,other,standardised (per 1 SD); m (distance),-2118.85,,,,**,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Distance to the closest metro station,transit_distance,D_location,other,standardised (per 1 SD); m (distance),-21670.74,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Distance to the closest metro station,transit_distance,D_location,other,standardised (per 1 SD); m (distance),-21768.2,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Distance to the closest metro station,transit_distance,D_location,other,standardised (per 1 SD); m (distance),-23116.68,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Distance to the closest metro station,transit_distance,D_location,other,standardised (per 1 SD); m (distance),-22334.51,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Distance to the closest metro station,transit_distance,D_location,other,standardised (per 1 SD); m (distance),-22343.39,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Distance to the closest metro station,transit_distance,D_location,other,standardised (per 1 SD); m (distance),-22333.11,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Distance to the closest general hospital,hospital_distance,D_location,other,standardised (per 1 SD); m (distance),2229.17,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Distance to the closest general hospital,hospital_distance,D_location,other,standardised (per 1 SD); m (distance),2856.12,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Distance to the closest general hospital,hospital_distance,D_location,other,standardised (per 1 SD); m (distance),-1723.88,,,,*,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Distance to the closest general hospital,hospital_distance,D_location,other,standardised (per 1 SD); m (distance),-1460.87,,,,,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Distance to the closest general hospital,hospital_distance,D_location,other,standardised (per 1 SD); m (distance),-1465.88,,,,,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Distance to the closest general hospital,hospital_distance,D_location,other,standardised (per 1 SD); m (distance),-1469.55,,,,,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Access to bus stops,transit_distance,D_location,other,standardised (per 1 SD); count (bus stops within 1 km),-3610.06,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Access to bus stops,transit_distance,D_location,other,standardised (per 1 SD); count (bus stops within 1 km),-4752.34,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Access to bus stops,transit_distance,D_location,other,standardised (per 1 SD); count (bus stops within 1 km),-6570.91,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Access to bus stops,transit_distance,D_location,other,standardised (per 1 SD); count (bus stops within 1 km),-7665.9,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Access to bus stops,transit_distance,D_location,other,standardised (per 1 SD); count (bus stops within 1 km),-7662.77,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Access to bus stops,transit_distance,D_location,other,standardised (per 1 SD); count (bus stops within 1 km),-7657.24,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Access to schools,school_distance,D_location,other,standardised (per 1 SD); count (schools within 1 km),69.09,,,,,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Access to schools,school_distance,D_location,other,standardised (per 1 SD); count (schools within 1 km),286.43,,,,,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Access to schools,school_distance,D_location,other,standardised (per 1 SD); count (schools within 1 km),-1027.85,,,,*,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Access to schools,school_distance,D_location,other,standardised (per 1 SD); count (schools within 1 km),-841.78,,,,,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Access to schools,school_distance,D_location,other,standardised (per 1 SD); count (schools within 1 km),-845.59,,,,,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Access to schools,school_distance,D_location,other,standardised (per 1 SD); count (schools within 1 km),-841.96,,,,,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Access to sports and recreation facilities,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); count (facilities within 1 km),2827.09,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Access to sports and recreation facilities,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); count (facilities within 1 km),1052.16,,,,*,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Access to sports and recreation facilities,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); count (facilities within 1 km),4942.46,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Access to sports and recreation facilities,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); count (facilities within 1 km),3091.51,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Access to sports and recreation facilities,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); count (facilities within 1 km),3088.2,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Access to sports and recreation facilities,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); count (facilities within 1 km),3084.58,,,,***,,,medium,"standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Access to groceries,commercial_distance,D_location,other,standardised (per 1 SD); count (grocery facilities within 1 km),-2572.96,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Access to groceries,commercial_distance,D_location,other,standardised (per 1 SD); count (grocery facilities within 1 km),-2784.05,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Access to groceries,commercial_distance,D_location,other,standardised (per 1 SD); count (grocery facilities within 1 km),-3102.49,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Access to groceries,commercial_distance,D_location,other,standardised (per 1 SD); count (grocery facilities within 1 km),-3147.55,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Access to groceries,commercial_distance,D_location,other,standardised (per 1 SD); count (grocery facilities within 1 km),-3142.16,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Access to groceries,commercial_distance,D_location,other,standardised (per 1 SD); count (grocery facilities within 1 km),-3140.57,,,,***,,,medium,"accessibility count, not a distance; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Compact high-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-19946.58,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Compact high-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-17672.54,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-572.35,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),264.71,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-154.86,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),1011.49,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),1008.41,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),1002.44,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-4899.85,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-4032.52,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-4043.78,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-4035.11,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Open high-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),4979.54,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Open high-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),2792.81,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),58.09,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),607.44,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),611.06,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),603.85,,,,,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Open low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-1812.12,,,,**,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Open low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-1687.91,,,,**,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Open low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-2690.12,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Open low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-2243.61,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Open low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-2233.03,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Open low-rise,other,other,other,standardised (per 1 SD); share (land-use form within 1 km),-2238.77,,,,***,,,medium,"3D land-use configuration, immediate neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),108.05,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),520.7,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),141.62,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),593.94,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),595.07,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),595.5,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),724.41,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),175.24,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),-50.9,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),-752.5,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),-750.44,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),-762.2,,,,,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Low plants,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),20507.32,,,,***,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Low plants,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),19220.42,,,,***,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Low plants,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),12942.21,,,,***,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Low plants,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),11962.61,,,,***,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Low plants,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),11956.61,,,,***,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Low plants,green_space,E_environment,other,standardised (per 1 SD); share (land cover within 1 km),11969.94,,,,***,,,medium,"vegetation cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover within 1 km),-1496.31,,,,,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover within 1 km),-3171.33,,,,**,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover within 1 km),-2537.86,,,,,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover within 1 km),-3155.12,,,,*,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover within 1 km),-3143.27,,,,*,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover within 1 km),-3155.25,,,,*,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover within 1 km),2970.19,,,,***,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover within 1 km),2703.36,,,,***,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover within 1 km),1834.6,,,,*,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover within 1 km),1905.95,,,,**,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover within 1 km),1901.01,,,,**,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover within 1 km),1913.4,,,,**,,,medium,"surface cover form; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Street compact high-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-104.83,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Street compact high-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-2082.45,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Street compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-4320.72,,,,***,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Street compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-4827.65,,,,***,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Street compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-2383.07,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Street compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-5214.76,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Street compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-5220.12,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Street compact mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-5212.35,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Street compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-658.7,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Street compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-7657.79,,,,*,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Street compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-7655.13,,,,*,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Street compact low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),-7284.43,,,,*,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Street open high-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),2143.25,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Street open high-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),6274.07,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Street open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),3047.79,,,,***,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Street open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),7455.27,,,,*,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Street open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),7357.44,,,,*,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Street open mid-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),7446.51,,,,*,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Street open low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),2574.2,,,,***,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Street open low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),2570.14,,,,***,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Street open low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),3012.18,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Street open low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),3391.09,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Street open low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),3390.41,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Street open low-rise,other,other,other,standardised (per 1 SD); share (land-use form in street/township),3390.83,,,,,,,medium,"broader neighbourhood; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Street scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),-2235.18,,,,***,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Street scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),-2297.6,,,,***,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Street scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),3754.35,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Street scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),3277.48,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Street scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),3269.97,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Street scattered trees,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),3273.02,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,8,Street bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),2077.03,,,,***,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,8,Street bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),2894.19,,,,***,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,8,Street bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),68.38,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,8,Street bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),3992.72,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,8,Street bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),3996.56,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,8,Street bush or scrub,green_space,E_environment,other,standardised (per 1 SD); share (land cover in street/township),4004.25,,,,,,,medium,"broader neighbourhood vegetation; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,9,Street bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover in street/township),-564.73,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,9,Street bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover in street/township),-900.99,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,9,Street bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover in street/township),2570.8,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,9,Street bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover in street/township),2515.03,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,9,Street bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover in street/township),2516.2,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,9,Street bare rock or paved,other,other,other,standardised (per 1 SD); share (land cover in street/township),2509.32,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,9,Street bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover in street/township),853.65,,,,*,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,9,Street bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover in street/township),1479.36,,,,***,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,9,Street bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover in street/township),-836.82,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,9,Street bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover in street/township),346.08,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,9,Street bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover in street/township),353.63,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,9,Street bare soil or sand,other,other,other,standardised (per 1 SD); share (land cover in street/township),353.38,,,,,,,medium,"broader neighbourhood; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,9,Metro station density,other,other,other,"standardised (per 1 SD); density (metro stations per area, street/township)",466.53,,,,,,,medium,"broader neighbourhood transit density; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,9,Metro station density,other,other,other,"standardised (per 1 SD); density (metro stations per area, street/township)",90.53,,,,,,,medium,"broader neighbourhood transit density; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,9,Metro station density,other,other,other,"standardised (per 1 SD); density (metro stations per area, street/township)",3043.01,,,,,,,medium,"broader neighbourhood transit density; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,9,Metro station density,other,other,other,"standardised (per 1 SD); density (metro stations per area, street/township)",3883.69,,,,,,,medium,"broader neighbourhood transit density; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,9,Metro station density,other,other,other,"standardised (per 1 SD); density (metro stations per area, street/township)",3888.82,,,,,,,medium,"broader neighbourhood transit density; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,9,Metro station density,other,other,other,"standardised (per 1 SD); density (metro stations per area, street/township)",3887.46,,,,,,,medium,"broader neighbourhood transit density; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c1,1,RE-ESF 1,9,Function mix,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); index (entropy of 7 facility types at street level),-234.27,,,,,,,medium,"functional mix entropy; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.767,none,"RE-ESF 1; single-level RE-ESF; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c2,1,RE-ESF 2,9,Function mix,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); index (entropy of 7 facility types at street level),-140.8,,,,,,,medium,"functional mix entropy; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.766,none,"RE-ESF 2; single-level RE-ESF; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c3,1,SFML 1,9,Function mix,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); index (entropy of 7 facility types at street level),-1020.64,,,,,,,medium,"functional mix entropy; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 1; two-level SFML; excludes compact low-rise, open mid-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c4,1,SFML 2,9,Function mix,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); index (entropy of 7 facility types at street level),-1173.29,,,,,,,medium,"functional mix entropy; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 2; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c5,1,SFML 3,9,Function mix,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); index (entropy of 7 facility types at street level),-1166.92,,,,,,,medium,"functional mix entropy; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 3; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3,3b145fc34a20579d69b10544f4da1eace43b32a3:T1-c6,1,SFML 4,9,Function mix,neighbourhood_amenities,F_neighbourhood,other,standardised (per 1 SD); index (entropy of 7 facility types at street level),-1153.67,,,,,,,medium,"functional mix entropy; page 9; standardised regressor; significance letter mapped (a=p<0.001 ***, b=p<0.01 **, c=p<0.05 *); sign read from page image",housing price per square metre,per_m2,other,86031.0,0.779,none,"SFML 4; two-level SFML; excludes compact high-rise, open high-rise and street counterparts; adds cross-level interactions (not extracted); adjusted R2; all regressors standardised"
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,LOT,living_area,A_structural,log,m2 (printed 'Lot size (m2)'; ln),0.976,,65.585,,**,,,medium,"Printed label 'Lot size (m2)' but mean ln = 4.52 (~92 m2) for a sample of apartments/houses, i.e. this is effectively the dwelling floor area; mapped to living_area, flag","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,LOT,living_area,A_structural,log,m2 (printed 'Lot size (m2)'; ln),0.967,,64.224,,**,,,medium,"Printed label 'Lot size (m2)' but mean ln = 4.52 (~92 m2) for a sample of apartments/houses, i.e. this is effectively the dwelling floor area; mapped to living_area, flag","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,LOT,living_area,A_structural,log,m2 (printed 'Lot size (m2)'; ln),0.953,,59.367,,**,,,medium,"Printed label 'Lot size (m2)' but mean ln = 4.52 (~92 m2) for a sample of apartments/houses, i.e. this is effectively the dwelling floor area; mapped to living_area, flag","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,LOT,living_area,A_structural,log,m2 (printed 'Lot size (m2)'; ln),0.961,,63.918,,**,,,medium,"Printed label 'Lot size (m2)' but mean ln = 4.52 (~92 m2) for a sample of apartments/houses, i.e. this is effectively the dwelling floor area; mapped to living_area, flag","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,LOT,living_area,A_structural,log,m2 (printed 'Lot size (m2)'; ln),0.949,,61.395,,**,,,medium,"Printed label 'Lot size (m2)' but mean ln = 4.52 (~92 m2) for a sample of apartments/houses, i.e. this is effectively the dwelling floor area; mapped to living_area, flag","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,FEE,other,other,other,z-score of property management fee (yuan/m2/month),0.061,,6.817,,**,,,high,"Property management fees, standardized (z-score); taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,FEE,other,other,other,z-score of property management fee (yuan/m2/month),0.049,,5.086,,**,,,high,"Property management fees, standardized (z-score); taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,FEE,other,other,other,z-score of property management fee (yuan/m2/month),0.056,,6.316,,**,,,high,"Property management fees, standardized (z-score); taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,FEE,other,other,other,z-score of property management fee (yuan/m2/month),0.049,,5.336,,**,,,high,"Property management fees, standardized (z-score); taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,FEE,other,other,other,z-score of property management fee (yuan/m2/month),0.049,,5.035,,**,,,high,"Property management fees, standardized (z-score); taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,TRSP,transit_distance,D_location,other,z-score of number of bus lines within 100 m,-0.047,,-8.016,,**,,,high,"Bus accessibility count (z-scored), higher = more bus lines; sign negative","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,TRSP,transit_distance,D_location,other,z-score of number of bus lines within 100 m,-0.044,,-7.563,,**,,,high,"Bus accessibility count (z-scored), higher = more bus lines; sign negative","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,TRSP,transit_distance,D_location,other,z-score of number of bus lines within 100 m,-0.048,,-8.367,,**,,,high,"Bus accessibility count (z-scored), higher = more bus lines; sign negative","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,TRSP,transit_distance,D_location,other,z-score of number of bus lines within 100 m,-0.045,,-7.897,,**,,,high,"Bus accessibility count (z-scored), higher = more bus lines; sign negative","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,TRSP,transit_distance,D_location,other,z-score of number of bus lines within 100 m,-0.047,,-8.248,,**,,,high,"Bus accessibility count (z-scored), higher = more bus lines; sign negative","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,LFAC,neighbourhood_amenities,F_neighbourhood,other,z-score of ordinal 1-5 quality of living facilities,0.051,,7.211,,**,,,high,"Quality of living facilities (field assessment), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,LFAC,neighbourhood_amenities,F_neighbourhood,other,z-score of ordinal 1-5 quality of living facilities,0.056,,7.744,,**,,,high,"Quality of living facilities (field assessment), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,LFAC,neighbourhood_amenities,F_neighbourhood,other,z-score of ordinal 1-5 quality of living facilities,0.057,,7.876,,**,,,high,"Quality of living facilities (field assessment), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,LFAC,neighbourhood_amenities,F_neighbourhood,other,z-score of ordinal 1-5 quality of living facilities,0.058,,8.103,,**,,,high,"Quality of living facilities (field assessment), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,LFAC,neighbourhood_amenities,F_neighbourhood,other,z-score of ordinal 1-5 quality of living facilities,0.061,,8.657,,**,,,high,"Quality of living facilities (field assessment), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,AGE,age,A_structural,other,z-score of age in years,-0.071,,-8.911,,**,,,high,"Age of property at sale in years, entered as z-score (sd units)","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,AGE,age,A_structural,other,z-score of age in years,-0.073,,-9.27,,**,,,high,"Age of property at sale in years, entered as z-score (sd units)","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,AGE,age,A_structural,other,z-score of age in years,-0.072,,-9.168,,**,,,high,"Age of property at sale in years, entered as z-score (sd units)","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,AGE,age,A_structural,other,z-score of age in years,-0.08,,-9.89,,**,,,high,"Age of property at sale in years, entered as z-score (sd units)","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,AGE,age,A_structural,other,z-score of age in years,-0.078,,-9.726,,**,,,high,"Age of property at sale in years, entered as z-score (sd units)","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,PUBS,green_space,E_environment,binary,binary (public open space within 200 m),0.075,,5.99,,**,,,high,Existence of public space reachable within 200 m,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,PUBS,green_space,E_environment,binary,binary (public open space within 200 m),0.087,,6.66,,**,,,high,Existence of public space reachable within 200 m,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,PUBS,green_space,E_environment,binary,binary (public open space within 200 m),0.072,,5.746,,**,,,high,Existence of public space reachable within 200 m,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,PUBS,green_space,E_environment,binary,binary (public open space within 200 m),0.086,,6.824,,**,,,high,Existence of public space reachable within 200 m,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,PUBS,green_space,E_environment,binary,binary (public open space within 200 m),0.081,,5.933,,**,,,high,Existence of public space reachable within 200 m,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,MANA,other,other,other,z-score of ordinal 1-5 quality of community management,0.035,,4.263,,**,,,high,"Quality of community (estate) management, z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,MANA,other,other,other,z-score of ordinal 1-5 quality of community management,0.033,,4.052,,**,,,high,"Quality of community (estate) management, z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,MANA,other,other,other,z-score of ordinal 1-5 quality of community management,0.033,,4.061,,**,,,high,"Quality of community (estate) management, z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,MANA,other,other,other,z-score of ordinal 1-5 quality of community management,0.036,,4.42,,**,,,high,"Quality of community (estate) management, z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,MANA,other,other,other,z-score of ordinal 1-5 quality of community management,0.035,,4.289,,**,,,high,"Quality of community (estate) management, z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,DECORATION,condition,A_structural,other,z-score of ordinal 1-5 quality of decoration,0.026,,4.941,,**,,,high,"Quality of interior decoration (1 none ... 5 luxury), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,DECORATION,condition,A_structural,other,z-score of ordinal 1-5 quality of decoration,0.027,,5.108,,**,,,high,"Quality of interior decoration (1 none ... 5 luxury), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,DECORATION,condition,A_structural,other,z-score of ordinal 1-5 quality of decoration,0.027,,5.055,,**,,,high,"Quality of interior decoration (1 none ... 5 luxury), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,DECORATION,condition,A_structural,other,z-score of ordinal 1-5 quality of decoration,0.026,,5.002,,**,,,high,"Quality of interior decoration (1 none ... 5 luxury), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,DECORATION,condition,A_structural,other,z-score of ordinal 1-5 quality of decoration,0.026,,5.032,,**,,,high,"Quality of interior decoration (1 none ... 5 luxury), z-scored","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,CENV,other,other,other,z-score of ordinal 1-5 quality of community environment,-0.008,,-1.374,,,,,high,"Quality of community environment (observation/interviews), z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,CENV,other,other,other,z-score of ordinal 1-5 quality of community environment,-0.011,,-1.924,,,,,high,"Quality of community environment (observation/interviews), z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,CENV,other,other,other,z-score of ordinal 1-5 quality of community environment,-0.016,,-2.598,,**,,,high,"Quality of community environment (observation/interviews), z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,CENV,other,other,other,z-score of ordinal 1-5 quality of community environment,-0.021,,-3.297,,**,,,high,"Quality of community environment (observation/interviews), z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,CENV,other,other,other,z-score of ordinal 1-5 quality of community environment,-0.024,,-3.741,,**,,,high,"Quality of community environment (observation/interviews), z-scored; taxonomy other","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,DEXE,green_space,E_environment,log,m (ln distance to Huafa Exercise Park),-0.033,,-3.145,,**,,,high,Log distance to Huafa Exercise Park (small park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,DEXE,green_space,E_environment,log,m (ln distance to Huafa Exercise Park),-0.033,,-3.14,,**,,,high,Log distance to Huafa Exercise Park (small park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,DEXE,green_space,E_environment,log,m (ln distance to Huafa Exercise Park),-0.053,,-4.474,,**,,,high,Log distance to Huafa Exercise Park (small park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,DEXE,green_space,E_environment,log,m (ln distance to Huafa Exercise Park),-0.028,,-2.639,,**,,,high,Log distance to Huafa Exercise Park (small park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,DEXE,green_space,E_environment,log,m (ln distance to Huafa Exercise Park),-0.041,,-3.237,,**,,,high,Log distance to Huafa Exercise Park (small park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,DCEM,green_space,E_environment,log,m (ln distance to Martyrs' Park),-0.069,,-4.95,,**,,,high,Log distance to Martyrs' Park (Martyrs' Cemetery park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,DCEM,green_space,E_environment,log,m (ln distance to Martyrs' Park),-0.086,,-5.751,,**,,,high,Log distance to Martyrs' Park (Martyrs' Cemetery park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,DCEM,green_space,E_environment,log,m (ln distance to Martyrs' Park),-0.015,,-0.757,,,,,high,Log distance to Martyrs' Park (Martyrs' Cemetery park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,DCEM,green_space,E_environment,log,m (ln distance to Martyrs' Park),-0.039,,-2.503,,*,,,high,Log distance to Martyrs' Park (Martyrs' Cemetery park),"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,PARKING,parking,A_structural,binary,binary (parking space exists),-0.06,,-4.013,,**,,,high,Existence of parking space,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,PARKING,parking,A_structural,binary,binary (parking space exists),-0.058,,-3.875,,**,,,high,Existence of parking space,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,PARKING,parking,A_structural,binary,binary (parking space exists),-0.051,,-3.339,,**,,,high,Existence of parking space,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,PARKING,parking,A_structural,binary,binary (parking space exists),-0.068,,-4.556,,**,,,high,Existence of parking space,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,PARKING,parking,A_structural,binary,binary (parking space exists),-0.059,,-3.928,,**,,,high,Existence of parking space,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,POOL,pool,C_exterior,binary,binary (swimming pool exists),0.07,,3.476,,**,,,high,Existence of swimming pool,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,POOL,pool,C_exterior,binary,binary (swimming pool exists),0.092,,4.321,,**,,,high,Existence of swimming pool,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,POOL,pool,C_exterior,binary,binary (swimming pool exists),0.083,,4.117,,**,,,high,Existence of swimming pool,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,POOL,pool,C_exterior,binary,binary (swimming pool exists),0.081,,4.079,,**,,,high,Existence of swimming pool,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,POOL,pool,C_exterior,binary,binary (swimming pool exists),0.086,,4.12,,**,,,high,Existence of swimming pool,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m1,3,Model 1,7,LIFT,accessibility,B_interior,binary,binary (lift exists),0.025,,1.424,,,,,high,Existence of lift/elevator,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.917,t,Controlled variables only (no landscape variables); adjusted R2 = 0.916
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,LIFT,accessibility,B_interior,binary,binary (lift exists),0.039,,2.183,,*,,,high,Existence of lift/elevator,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,LIFT,accessibility,B_interior,binary,binary (lift exists),0.026,,1.541,,,,,high,Existence of lift/elevator,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,LIFT,accessibility,B_interior,binary,binary (lift exists),0.034,,1.966,,*,,,high,Existence of lift/elevator,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,LIFT,accessibility,B_interior,binary,binary (lift exists),0.033,,1.821,,,,,high,Existence of lift/elevator,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m2,3,Model 2,7,DPAR,green_space,E_environment,log,m (ln distance to Xiangshan Park),0.056,,3.027,,**,,,high,"Log distance to Xiangshan Park (1,400-acre main park)","ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DPAR (log distance to Xiangshan Park); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,DPAR,green_space,E_environment,log,m (ln distance to Xiangshan Park),-0.007,,0.408,,,,,high,"Log distance to Xiangshan Park (1,400-acre main park); printed t '(0.408)' without minus sign despite negative coefficient (likely sign typo)","ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m3,3,Model 3,7,DSEA,water_proximity,E_environment,log,m (ln distance to seaside),-0.055,,-3.656,,**,,,high,Log distance to seaside,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.919,t,Controls + DSEA (log distance to seaside); adjusted R2 = 0.917
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,DSEA,water_proximity,E_environment,log,m (ln distance to seaside),-0.04,,-3.085,,**,,,high,Log distance to seaside,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m4,3,Model 4,7,SEAVIEW,view,E_environment,binary,binary (sea view),0.089,,4.5,,**,,,high,Existence of sea view from property,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + SEAVIEW; adjusted R2 = 0.918
3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb,3b4b454985f862f1a1d6165d8c81255275be3ddb:T3-m5,3,Model 5,7,SEAVIEW,view,E_environment,binary,binary (sea view),0.072,,3.265,,**,,,high,Existence of sea view from property,"ln sales (listing) price of property, RMB",log,OLS,688.0,0.92,t,Controls + all three landscape variables; adjusted R2 = 0.918
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Broker involvement in the transaction process,other,other,binary,binary,0.468,0.202,2.32,0.023,*,,,high,"1 = transaction facilitated by a broker/agent, 0 otherwise; printed name 'Broker involvement in the transaction process' (transaction characteristic, no taxonomy leaf)","Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,External wall finishing material,roof_materials,A_structural,other,ordinal,0.383,0.183,2.089,0.04,*,,,medium,"Ordinal material code (1 = quartz paint, 2 = plastered with cement, 3 = granite paint per Table 2; only quartz paint and plastered observed); text interprets as quartz paint premium of 38.3% vs plaster, direction of coding ambiguous","Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Floor finishing material,flooring,B_interior,other,ordinal,0.035,0.025,1.391,0.168,,,,medium,"Ordinal code 1 = ceramic tile, 2 = cement screed; coding direction ambiguous","Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Ceiling finishing material,roof_materials,A_structural,other,ordinal,0.023,0.023,1.008,0.013,*,,,medium,"Ceiling finish code 1 = gypsum, 2 = plastic; printed t = 1.008 is inconsistent with printed p = .013 (likely typo in table); text interprets as gypsum premium 2.3% vs plastic","Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Direction of the house (East=1 Non-East=0),sunlight,E_environment,binary,binary,0.456,0.16,0.285,0.036,*,,,medium,"East-facing aspect dummy; printed t = .285 is inconsistent with B/SE = 2.85 and with p = .036 (t likely misprinted, should read 2.85)","Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Land grade,other,other,other,ordinal,-0.009,0.011,-0.865,0.389,,,,high,Municipal land grade 1-3 (ordinal); printed name 'Land grade',"Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Accessible road type,other,other,other,ordinal,-0.001,0.008,-0.094,0.925,,,,high,Ordinal road type code (asphalt / cobblestone / gravel / earthen); printed name 'Accessible road type',"Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Log_ Floor Area in square meter,living_area,A_structural,log,m2,0.601,0.175,3.441,0.001,*,,,high,Log of floor area (m2); elasticity,"Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Log_ Gross plot size in square meter,lot_size,A_structural,log,m2,0.335,0.11,3.052,0.003,*,,,high,Log of gross plot area (m2); elasticity,"Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Log_ Age of the House in years,age,A_structural,log,years,-0.187,0.054,-3.434,0.001,*,,,high,Log of house age in years (range 1-15),"Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Log_ Number of rooms,bedrooms,A_structural,log,count,0.148,0.066,2.24,0.028,*,,,high,"Log of number of rooms (all rooms, 3-5)","Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a,3b820e938ca4b455736f08f285e1b5bb43f7674a:T9-c1,9,1,14,Log_ Distance of the property from the main road in meter,highway_distance,D_location,log,m,-0.097,0.031,-3.115,0.002,*,,,high,Log of distance from the property to the main road in metres (234-817 m),"Log_ Residential Real Estate Price (sales price, birr)",log,OLS,103.0,0.88,se,"Full survey sample (103 valid of 134 sampled owners); SE, t and p printed in separate columns"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Building period:1960-1970,age,A_structural,dummy,binary,-370.48,25.94,,,***,,,high,"built 1960-1970 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Building period:1971-1980,age,A_structural,dummy,binary,-311.17,23.36,,,***,,,high,"built 1971-1980 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Building period:1981-1990,age,A_structural,dummy,binary,-232.93,23.37,,,***,,,high,"built 1981-1990 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Building period:1991-2000,age,A_structural,dummy,binary,-58.64,21.64,,,***,,,high,"built 1991-2000 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Terrace,dwelling_type,A_structural,dummy,binary,-285.65,35.17,,,***,,,high,terraced house vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Corner,dwelling_type,A_structural,dummy,binary,-281.36,31.77,,,***,,,high,corner house vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Semidetached,dwelling_type,A_structural,dummy,binary,-122.89,47.96,,,**,,,high,semi-detached vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,168,Duplex,dwelling_type,A_structural,dummy,binary,-151.08,30.6,,,***,,,high,duplex vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Building period:1960-1970,age,A_structural,dummy,binary,-389.5,36.67,,,***,,,high,"built 1960-1970 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Building period:1971-1980,age,A_structural,dummy,binary,-261.5,33.96,,,***,,,high,"built 1971-1980 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Building period:1981-1990,age,A_structural,dummy,binary,-173.08,32.59,,,***,,,high,"built 1981-1990 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Building period:1991-2000,age,A_structural,dummy,binary,-49.34,26.55,,,*,,,high,"built 1991-2000 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Terrace,dwelling_type,A_structural,dummy,binary,-264.34,35.24,,,***,,,high,terraced house vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Corner,dwelling_type,A_structural,dummy,binary,-274.54,31.18,,,***,,,high,corner house vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Semidetached,dwelling_type,A_structural,dummy,binary,-149.5,47.57,,,***,,,high,semi-detached vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLSD,6.1,OLSD,168,Duplex,dwelling_type,A_structural,dummy,binary,-147.24,30.17,,,***,,,high,duplex vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007; land price interacted with 9 postcode dummies
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Building period:1960-1970,age,A_structural,dummy,binary,-398.4,41.75,,,***,,,high,"built 1960-1970 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Building period:1971-1980,age,A_structural,dummy,binary,-323.5,41.75,,,***,,,high,"built 1971-1980 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Building period:1981-1990,age,A_structural,dummy,binary,-226.14,42.87,,,***,,,high,"built 1981-1990 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Building period:1991-2000,age,A_structural,dummy,binary,-115.13,37.26,,,***,,,high,"built 1991-2000 vs built after 2000 (reference); vintage dummy, not years; coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses",transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Terrace,dwelling_type,A_structural,dummy,binary,-187.28,37.32,,,***,,,high,terraced house vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Corner,dwelling_type,A_structural,dummy,binary,-192.85,34.07,,,***,,,high,corner house vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Semidetached,dwelling_type,A_structural,dummy,binary,-96.93,48.73,,,**,,,high,semi-detached vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-MGWR,6.1,MGWR,168,Duplex,dwelling_type,A_structural,dummy,binary,-104.56,31.03,,,***,,,high,duplex vs detached (reference); coefficient in EUR per m2 of living space (dep var is price per m2 of living space); SE in parentheses,transaction price per m2 of living space (EUR),per_m2,GWR,681.0,,se,"Year 2007; mixed GWR: property-specific land prices (local), structure characteristics global"
3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e,3bbf88ea5271189e3329337f57932674d7aa341e:T6.1-OLS,6.1,OLS,169,Land price (ratio of plot size to structure size),lot_size,A_structural,other,m2,214.87,,,,,,,medium,"From Table 6.2 (2007, OLS column): estimated land price = coefficient on plot size / living space ratio, EUR per m2 of land; no SE printed",transaction price per m2 of living space (EUR),per_m2,OLS,681.0,,se,Year 2007 sales in city 'A'; common land price (model 10 without postcode dummies)
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,M2,living_area,A_structural,level,m2,0.013,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,HEAT_D,heating,A_structural,binary,binary,-0.148,0.029,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,HEAT_D,heating,A_structural,binary,binary,-0.129,0.024,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,HEAT_D,heating,A_structural,binary,binary,-0.131,0.024,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,HEAT_D,heating,A_structural,binary,binary,-0.123,0.023,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,HEAT_D,heating,A_structural,binary,binary,-0.163,0.034,,,*,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,CORRI_D,other,other,binary,binary,0.178,0.041,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,CORRI_D,other,other,binary,binary,0.139,0.033,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,CORRI_D,other,other,binary,binary,0.146,0.033,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,CORRI_D,other,other,binary,binary,0.136,0.033,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,CORRI_D,other,other,binary,binary,0.167,0.049,,,*,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,BATH,bathrooms,A_structural,level,count,-0.026,0.034,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,BATH,bathrooms,A_structural,level,count,0.001,0.029,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,BATH,bathrooms,A_structural,level,count,0.004,0.029,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,BATH,bathrooms,A_structural,level,count,0.005,0.028,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,BATH,bathrooms,A_structural,level,count,-0.034,0.035,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,YEARS,age,A_structural,level,years,-0.031,0.006,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,YEARS,age,A_structural,level,years,-0.029,0.005,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,YEARS,age,A_structural,level,years,-0.031,0.005,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,YEARS,age,A_structural,level,years,-0.03,0.005,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,YEARS,age,A_structural,level,years,-0.033,0.006,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,BRAND_D,other,other,binary,binary,0.122,0.029,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,BRAND_D,other,other,binary,binary,0.116,0.024,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,BRAND_D,other,other,binary,binary,0.111,0.024,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,BRAND_D,other,other,binary,binary,0.112,0.024,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,BRAND_D,other,other,binary,binary,0.113,0.027,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,SCHOOL,school_quality,F_neighbourhood,level,share,0.782,0.215,,,**,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,SCHOOL,school_quality,F_neighbourhood,level,share,0.55,0.202,,,**,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,SCHOOL,school_quality,F_neighbourhood,level,share,0.513,0.202,,,*,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,SCHOOL,school_quality,F_neighbourhood,level,share,0.52,0.203,,,*,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,SCHOOL,school_quality,F_neighbourhood,level,share,0.697,0.205,,,,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,**,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,*,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,*,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,*,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,**,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,GRDP,income,F_neighbourhood,level,currency,0.005,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,GRDP,income,F_neighbourhood,level,currency,0.002,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,GRDP,income,F_neighbourhood,level,currency,0.002,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,GRDP,income,F_neighbourhood,level,currency,0.002,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,GRDP,income,F_neighbourhood,level,currency,0.005,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,SO2,air_pollution,E_environment,level,ppm,-54.235,12.619,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,SO2,air_pollution,E_environment,level,ppm,-36.103,12.49,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,SO2,air_pollution,E_environment,level,ppm,-36.375,12.493,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,SO2,air_pollution,E_environment,level,ppm,-35.1,12.514,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,SO2,air_pollution,E_environment,level,ppm,-52.734,12.636,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,NO2,air_pollution,E_environment,level,ppm,-41.089,6.793,,,**,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,NO2,air_pollution,E_environment,level,ppm,-8.081,8.254,,,,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,NO2,air_pollution,E_environment,level,ppm,-4.468,8.157,,,,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,NO2,air_pollution,E_environment,level,ppm,-4.761,8.338,,,,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,NO2,air_pollution,E_environment,level,ppm,-42.995,6.658,,,**,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,O3,air_pollution,E_environment,level,ppm,-4.916,4.919,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,O3,air_pollution,E_environment,level,ppm,-1.486,5.683,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,O3,air_pollution,E_environment,level,ppm,-1.301,5.706,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,O3,air_pollution,E_environment,level,ppm,-0.173,5.784,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,O3,air_pollution,E_environment,level,ppm,-3.981,4.808,,,*,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,PM10,air_pollution,E_environment,level,ug/m3,-0.014,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,PM10,air_pollution,E_environment,level,ug/m3,-0.012,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,PM10,air_pollution,E_environment,level,ug/m3,-0.012,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,PM10,air_pollution,E_environment,level,ug/m3,-0.01,0.004,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,PM10,air_pollution,E_environment,level,ug/m3,-0.013,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c1,4,1,8,CO,air_pollution,E_environment,level,ppm,0.473,0.212,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,Base OLS semi-log
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c2,4,2,8,CO,air_pollution,E_environment,level,ppm,0.191,0.275,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.854,se,"Spatial error model, 5 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c3,4,3,8,CO,air_pollution,E_environment,level,ppm,0.152,0.275,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.737,se,"Spatial error model, 5 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c4,4,4,8,CO,air_pollution,E_environment,level,ppm,0.142,0.278,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.734,se,"Spatial error model, 5 km, GM iterated"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T4-c5,4,5,8,CO,air_pollution,E_environment,level,ppm,0.413,0.218,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,OLS,500.0,0.786,se,OLS with White heteroskedasticity-robust variance
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,M2,living_area,A_structural,level,m2,0.01,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,M2,living_area,A_structural,level,m2,0.011,0.001,,,**,,,high,"Area of apartment, m2. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,HEAT_D,heating,A_structural,binary,binary,-0.039,0.022,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,HEAT_D,heating,A_structural,binary,binary,-0.063,0.023,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,HEAT_D,heating,A_structural,binary,binary,-0.171,0.026,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,HEAT_D,heating,A_structural,binary,binary,-0.173,0.026,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,HEAT_D,heating,A_structural,binary,binary,-0.162,0.041,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,HEAT_D,heating,A_structural,binary,binary,-0.178,0.028,,,**,,,high,"Heat type dummy: 1 = individual heating, 0 = central heating. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,CORRI_D,other,other,binary,binary,0.098,0.029,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,CORRI_D,other,other,binary,binary,0.1,0.031,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,CORRI_D,other,other,binary,binary,0.152,0.037,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,CORRI_D,other,other,binary,binary,0.161,0.037,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,CORRI_D,other,other,binary,binary,0.167,0.041,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,CORRI_D,other,other,binary,binary,0.178,0.04,,,**,,,high,"Corridor type dummy: 1 = stairway type, 0 = corridor type; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,BATH,bathrooms,A_structural,level,count,-0.034,0.023,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,BATH,bathrooms,A_structural,level,count,0.024,0.026,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,BATH,bathrooms,A_structural,level,count,0.003,0.032,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,BATH,bathrooms,A_structural,level,count,0.005,0.032,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,BATH,bathrooms,A_structural,level,count,-0.036,0.034,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,BATH,bathrooms,A_structural,level,count,-0.018,0.033,,,,,,high,Number of bathrooms. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,YEARS,age,A_structural,level,years,-0.024,0.004,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,YEARS,age,A_structural,level,years,-0.026,0.005,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,YEARS,age,A_structural,level,years,-0.032,0.006,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,YEARS,age,A_structural,level,years,-0.033,0.006,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,YEARS,age,A_structural,level,years,-0.033,0.006,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,YEARS,age,A_structural,level,years,-0.034,0.006,,,**,,,high,Apartment age in years. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,YEARS2,age,A_structural,squared,years,0.001,0.001,,,**,,,high,Apartment age squared (labelled re-development index). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,SIZE,other,other,level,count,0.001,0.001,,,**,,,high,Size of complex: total number of apartment units in the complex; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,BRAND_D,other,other,binary,binary,0.101,0.021,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,BRAND_D,other,other,binary,binary,0.098,0.022,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,BRAND_D,other,other,binary,binary,0.129,0.026,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,BRAND_D,other,other,binary,binary,0.124,0.026,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,BRAND_D,other,other,binary,binary,0.114,0.029,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,BRAND_D,other,other,binary,binary,0.101,0.028,,,**,,,high,Well-known developer brand dummy; no taxonomy leaf. Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,SCHOOL,school_quality,F_neighbourhood,level,share,0.527,0.244,,,*,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,SCHOOL,school_quality,F_neighbourhood,level,share,0.58,0.24,,,*,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,SCHOOL,school_quality,F_neighbourhood,level,share,0.822,0.19,,,**,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,SCHOOL,school_quality,F_neighbourhood,level,share,0.758,0.186,,,**,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,SCHOOL,school_quality,F_neighbourhood,level,share,0.681,0.213,,,**,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,SCHOOL,school_quality,F_neighbourhood,level,share,0.917,0.211,,,**,,,high,"College entrance rate of the district (share, mean 0.73). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,SUBWAY,transit_distance,D_location,level,m,0.001,0.001,,,,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,*,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,**,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,**,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,**,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,SUBWAY,transit_distance,D_location,level,m,-0.001,0.001,,,**,,,high,Distance to nearest subway station in metres; coefficient printed to 3 decimals (-0.001). Table legend: * 5% significance; ** 1% significance; ( ) standard error.,"ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,GRDP,income,F_neighbourhood,level,currency,0.003,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,GRDP,income,F_neighbourhood,level,currency,0.004,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,GRDP,income,F_neighbourhood,level,currency,0.004,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,GRDP,income,F_neighbourhood,level,currency,0.003,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,GRDP,income,F_neighbourhood,level,currency,0.005,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,GRDP,income,F_neighbourhood,level,currency,0.005,0.001,,,**,,,high,"Gross regional domestic product per capita, million won (printed GRDPC in Table 1). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,SO2,air_pollution,E_environment,level,ppm,6.352,13.978,,,,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,SO2,air_pollution,E_environment,level,ppm,-15.283,13.802,,,,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,SO2,air_pollution,E_environment,level,ppm,-51.402,11.155,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,SO2,air_pollution,E_environment,level,ppm,-55.429,11.014,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,SO2,air_pollution,E_environment,level,ppm,-53.455,12.472,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,SO2,air_pollution,E_environment,level,ppm,-43.373,12.306,,,**,,,high,"Sulfur dioxide concentration, ppm (spatially interpolated). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,NO2,air_pollution,E_environment,level,ppm,-8.522,9.304,,,,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,NO2,air_pollution,E_environment,level,ppm,-21.45,8.51,,,*,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,NO2,air_pollution,E_environment,level,ppm,-24.52,6.394,,,**,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,NO2,air_pollution,E_environment,level,ppm,-22.118,6.338,,,**,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,NO2,air_pollution,E_environment,level,ppm,-44.275,6.963,,,**,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,NO2,air_pollution,E_environment,level,ppm,-26.219,7.19,,,**,,,high,"Nitrogen dioxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,O3,air_pollution,E_environment,level,ppm,-3.978,6.379,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,O3,air_pollution,E_environment,level,ppm,1.04,5.813,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,O3,air_pollution,E_environment,level,ppm,-4.31,4.749,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,O3,air_pollution,E_environment,level,ppm,-4.758,4.731,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,O3,air_pollution,E_environment,level,ppm,-4.596,4.951,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,O3,air_pollution,E_environment,level,ppm,4.066,4.958,,,,,,high,"Ozone concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,PM10,air_pollution,E_environment,level,ug/m3,-0.006,0.003,,,,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,PM10,air_pollution,E_environment,level,ug/m3,-0.007,0.003,,,*,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,PM10,air_pollution,E_environment,level,ug/m3,-0.021,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,PM10,air_pollution,E_environment,level,ug/m3,-0.022,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,PM10,air_pollution,E_environment,level,ug/m3,-0.013,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,PM10,air_pollution,E_environment,level,ug/m3,-0.011,0.003,,,**,,,high,"PM10 concentration, ug/m3 (printed μm/m3). Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c1,5,1,9,CO,air_pollution,E_environment,level,ppm,0.245,0.294,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.893,se,"Spatial error model, 1.7 km weight matrix, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c2,5,2,9,CO,air_pollution,E_environment,level,ppm,0.089,0.271,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.765,se,"Spatial error model, 1.7 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c3,5,3,9,CO,air_pollution,E_environment,level,ppm,0.144,0.217,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.822,se,"Spatial error model, 10 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c4,5,4,9,CO,air_pollution,E_environment,level,ppm,0.178,0.217,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_error,500.0,0.768,se,"Spatial error model, 10 km, GM 2-step"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c5,5,5,9,CO,air_pollution,E_environment,level,ppm,0.454,0.213,,,*,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.79,se,"Spatial lag model, 20 km, ML"
3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687,3e2f420e36b96c93f3636cc35296dc7c69414687:T5-c6,5,6,9,CO,air_pollution,E_environment,level,ppm,-0.114,0.224,,,,,,high,"Carbon monoxide concentration, ppm. Table legend: * 5% significance; ** 1% significance; ( ) standard error.","ln PART (apartment price, million won)",log,spatial_lag,500.0,0.806,se,"Spatial lag model, 20 km, IV (2SLS)"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c1,2,1,17,Number of Local Lodging,other,other,level,count,0.0394,0.0166,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,181626.0,0.51,se,"7-digit postcode FE + quarter FE, SE clustered at full postcode"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c2,2,2,17,Number of Local Lodging,other,other,level,count,0.0394,0.0201,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,181626.0,0.51,se,"7-digit postcode FE + quarter FE, SE clustered at postcode sector"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c3,2,3,17,Number of Local Lodging,other,other,level,count,0.0394,0.0196,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,181626.0,0.51,se,"7-digit postcode FE + quarter FE, SE clustered at civil parish"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c4,2,4,17,Number of Local Lodging,other,other,level,count,0.0605,0.0258,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,185647.0,0.323,se,4-digit postcode FE + quarter FE
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c5,2,5,17,Number of Local Lodging,other,other,level,count,0.0431,0.0196,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,185653.0,0.328,se,civil parish FE + quarter FE
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c6,2,6,17,Number of Local Lodging,other,other,level,count,0.0233,0.0125,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,181626.0,0.517,se,7-digit postcode FE + quarter FE + civil parish time trends
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c7,2,7,17,Number of Local Lodging,other,other,level,count,0.028,0.0128,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,185653.0,0.342,se,civil parish FE + quarter FE + civil parish time trends (preferred)
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T2-c8,2,8,17,Number of Local Lodging,other,other,level,count,0.0492,0.0159,,,***,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density). Col 8 dependent variable is residualized log price (x_transform level).,Residualized log(prices),other,FE_panel,185653.0,0.178,se,"residualized log prices (residuals from quarter FE, parish FE, parish trends) as outcome"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T3-c1,3,1,20,Number of LL,other,other,level,count,0.0233,0.0128,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,144579.0,0.372,se,"Drop before 2014 (2014 onwards only); civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T3-c2,3,2,20,Number of LL,other,other,level,count,0.0314,0.0128,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,177182.0,0.341,se,"Only 1 transaction per day; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T3-c3,3,3,20,Number of LL,other,other,level,count,0.0342,0.0128,,,***,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,167032.0,0.304,se,"No new built (drop first transaction after new-building evaluation); civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T3-c4,3,4,20,Number of LL,other,other,level,count,0.0306,0.0178,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,178327.0,0.34,se,"Dropping 95th percentile of LL per parish-quarter; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T3-c5,3,5,20,Number of LL,other,other,level,count,-0.00316,0.0519,,,,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,41067.0,0.293,se,"Drop after 2013 (placebo, pre-2014 period only); civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T3-c6,3,6,20,Number of LL,other,other,level,count,0.0342,0.012,,,***,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density). Log of price per m2 as dependent variable.,Log(prices/m2),per_m2,FE_panel,185653.0,0.226,se,"Full sample, price per square meter outcome; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T3-c7,3,7,20,LL neighbourhood postcodes,other,other,other,count,0.00775,0.0544,,,,,,high,"Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density). Average number of new STR in neighbouring postcodes (same 6-digit prefix), not own postcode.",Log(prices),log,FE_panel,185653.0,0.341,se,"SUTVA test: quarterly average of local lodgings in all postcodes sharing the same first 6 digits; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T4-c1,4,1,21,Number of Local Lodging t−1,other,other,other,count,0.0734,0.0237,,,***,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density). One-quarter lag of the STR count.,Log(prices),log,FE_panel,183316.0,0.343,se,"Lagged STR count (t-1); civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T4-c2,4,2,21,Number of Local Lodging t,other,other,level,count,0.028,0.0128,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density). Identical to Table 2 column 7.,Log(prices),log,FE_panel,185653.0,0.342,se,Baseline (same as Table 2 col 7)
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T4-c3,4,3,21,Number of Local Lodging t+1,other,other,other,count,0.028,0.0172,,,,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density). One-quarter lead of the STR count (falsification test).,Log(prices),log,FE_panel,172640.0,0.337,se,"Lead STR count (t+1), falsification; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T5-c1,5,1,22,Number of LL,other,other,level,count,0.0201,0.0149,,,,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,127347.0,0.356,se,"Lisbon metropolitan area; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T5-c2,5,2,22,Number of LL,other,other,level,count,0.0303,0.0165,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,33999.0,0.333,se,"Lisbon municipality; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T5-c3,5,3,22,Number of LL,other,other,level,count,0.0576,0.0298,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,6973.0,0.37,se,"Lisbon historical center; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T5-c4,5,4,22,Number of LL,other,other,level,count,0.0394,0.023,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,58306.0,0.309,se,"Porto metropolitan area; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T5-c5,5,5,22,Number of LL,other,other,level,count,0.0134,0.0122,,,,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,14176.0,0.372,se,"Porto municipality; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T5-c6,5,6,22,Number of LL,other,other,level,count,0.0185,0.00966,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,5087.0,0.41,se,"Porto historical center; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T10-c1,10,1,32,Number of Local Lodging,other,other,level,count,0.0344,0.0155,,,**,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,93116.0,0.359,se,"Civil parishes below median unemployment rate; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T10-c2,10,2,32,Number of Local Lodging,other,other,level,count,0.0309,0.0203,,,,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,92537.0,0.271,se,"Civil parishes above median unemployment rate; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T10-c3,10,3,32,Number of Local Lodging,other,other,level,count,0.0721,0.0423,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,94201.0,0.328,se,"Civil parishes below median population density; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T10-c4,10,4,32,Number of Local Lodging,other,other,level,count,0.0185,0.0114,,,,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,91452.0,0.36,se,"Civil parishes above median population density; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T10-c5,10,5,32,Number of Local Lodging,other,other,level,count,0.0106,0.0123,,,,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,114199.0,0.336,se,"Non-coastal civil parishes; civil parish FE, quarter FE, parish time trends"
3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a,3fff47f2ad1427c42ba357bc9b2363011924b07a:T10-c6,10,6,32,Number of Local Lodging,other,other,level,count,0.0357,0.019,,,*,,,high,Number of new short-term rental (local lodging) establishments opening in the property's postcode and quarter (neighbourhood STR density).,Log(prices),log,FE_panel,54318.0,0.388,se,"Coastal civil parishes; civil parish FE, quarter FE, parish time trends"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Floor1,floor_level,A_structural,dummy,binary,-1444.32,,-1.69,,,,,high,first-floor dummy,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Floor1,floor_level,A_structural,dummy,binary,-0.02,,-0.7,,,,,high,first-floor dummy,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Floor1,floor_level,A_structural,dummy,binary,-1498.37,,-1.8,,,,,high,first-floor dummy,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Floor1,floor_level,A_structural,dummy,binary,-0.02,,-0.62,,,,,high,first-floor dummy,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,FloorT,floor_level,A_structural,dummy,binary,-1570.3,,-1.77,,,,,high,top-floor dummy,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,FloorT,floor_level,A_structural,dummy,binary,-0.06,,-2.27,,*,,,high,top-floor dummy,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,FloorT,floor_level,A_structural,dummy,binary,-1851.6,,-2.15,,*,,,high,top-floor dummy,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,FloorT,floor_level,A_structural,dummy,binary,-0.06,,-2.13,,*,,,high,top-floor dummy,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Build,storeys,A_structural,dummy,binary,3284.04,,4.75,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Build,storeys,A_structural,dummy,binary,0.15,,6.53,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Build,storeys,A_structural,dummy,binary,3115.5,,4.64,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Build,storeys,A_structural,dummy,binary,0.15,,6.48,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Phone,other,other,binary,binary,1311.96,,1.55,,,,,high,Phone: wired telephone connection dummy,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Phone,other,other,binary,binary,0.08,,2.87,,*,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Phone,other,other,binary,binary,1098.97,,1.35,,,,,high,Phone: wired telephone connection dummy,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Phone,other,other,binary,binary,0.07,,2.61,,*,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Area,living_area,A_structural,level,m2,478.44,,7.59,,*,,,high,total area of the apartment,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Area,living_area,A_structural,log,m2,0.65,,7.24,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Area,living_area,A_structural,level,m2,461.5,,7.24,,*,,,high,total area of the apartment,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Area,living_area,A_structural,log,m2,0.67,,7.46,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Balc,terrace_balcony,C_exterior,level,count,-528.53,,-0.52,,,,,high,rank 0-2: balcony and/or loggia,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Balc,terrace_balcony,C_exterior,level,count,-0.01,,-0.34,,,,,high,rank 0-2: balcony and/or loggia,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Balc,terrace_balcony,C_exterior,level,count,-915.68,,-0.92,,,,,high,rank 0-2: balcony and/or loggia,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Balc,terrace_balcony,C_exterior,level,count,-0.07,,-0.14,,,,,high,rank 0-2: balcony and/or loggia,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Cond2,condition,A_structural,dummy,binary,1312.06,,1.17,,,,,high,condition 2 satisfactory (ref: repair needed),"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Cond2,condition,A_structural,dummy,binary,0.02,,0.6,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Cond2,condition,A_structural,dummy,binary,1614.12,,1.46,,,,,high,condition 2 satisfactory (ref: repair needed),"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Cond2,condition,A_structural,dummy,binary,0.02,,0.64,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Cond3,condition,A_structural,dummy,binary,1967.68,,1.43,,,,,high,condition 3 cosmetic repair needed,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Cond3,condition,A_structural,dummy,binary,0.02,,0.42,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Cond3,condition,A_structural,dummy,binary,1990.26,,1.43,,,,,high,condition 3 cosmetic repair needed,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Cond3,condition,A_structural,dummy,binary,0.02,,0.33,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Cond4,condition,A_structural,dummy,binary,2026.7,,1.75,,,,,high,condition 4 normal,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Cond4,condition,A_structural,dummy,binary,0.04,,1.11,,,,,high,condition 4 normal,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Cond4,condition,A_structural,dummy,binary,2204.5,,1.94,,,,,high,condition 4 normal,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Cond4,condition,A_structural,dummy,binary,0.04,,1.25,,,,,high,condition 4 normal,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Cond5,condition,A_structural,dummy,binary,2266.53,,2.1,,*,,,high,condition 5 good,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Cond5,condition,A_structural,dummy,binary,0.05,,1.58,,,,,high,condition 5 good,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Cond5,condition,A_structural,dummy,binary,2321.35,,2.17,,*,,,high,condition 5 good,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Cond5,condition,A_structural,dummy,binary,0.06,,1.78,,,,,high,condition 5 good,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Cond6,condition,A_structural,dummy,binary,4600.19,,2.76,,*,,,high,condition 6 perfect,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Cond6,condition,A_structural,dummy,binary,0.13,,2.5,,*,,,high,condition 6 perfect,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Cond6,condition,A_structural,dummy,binary,4615.75,,2.79,,*,,,high,condition 6 perfect,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Cond6,condition,A_structural,dummy,binary,0.14,,2.75,,*,,,high,condition 6 perfect,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,10,Cond7,condition,A_structural,dummy,binary,9713.48,,6.18,,*,,,high,condition 7 Euro-renovation,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,10,Cond7,condition,A_structural,dummy,binary,0.3,,6.08,,*,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,10,Cond7,condition,A_structural,dummy,binary,9401.38,,5.79,,*,,,high,condition 7 Euro-renovation,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,10,Cond7,condition,A_structural,dummy,binary,0.31,,6.36,,*,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,11,DCBD,cbd_distance,D_location,level,km,-828.21,,-6.72,,*,,,high,road-network distance to CBD (central square),"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,11,DCBD,cbd_distance,D_location,log,km,-0.24,,-10.24,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,DCBD,cbd_distance,D_location,level,km,-1935.77,,-7.66,,*,,,high,road-network distance to CBD (central square),"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,DCBD,cbd_distance,D_location,log,km,-0.23,,-6.82,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,11,DSCent,commercial_distance,D_location,level,km,-47.62,,-0.23,,,,,high,distance to nearest secondary centre (business/commercial concentration),"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,11,DSCent,commercial_distance,D_location,log,km,-0.05,,-4.91,,*,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,DSCent,commercial_distance,D_location,level,km,-196.67,,-0.87,,,,,high,distance to nearest secondary centre (business/commercial concentration),"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,DSCent,commercial_distance,D_location,log,km,-0.04,,-3.47,,*,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,11,DStop,transit_distance,D_location,level,km,-2864.5,,-1.36,,,,,high,distance to nearest public transport stop,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,11,DStop,transit_distance,D_location,log,km,-0.01,,-0.34,,,,,medium,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,DStop,transit_distance,D_location,level,km,-5975.94,,-2.9,,*,,,high,distance to nearest public transport stop,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,DStop,transit_distance,D_location,log,km,-0.0,,-0.26,,,,,low,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes); printed as -0.00/0.00","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,11,DRail,transit_distance,D_location,level,km,-37.42,,-0.41,,,,,high,distance to the main railway station,"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,11,DRail,transit_distance,D_location,log,km,-0.11,,-5.44,,*,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,DRail,transit_distance,D_location,level,km,303.53,,2.3,,*,,,high,distance to the main railway station,"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,DRail,transit_distance,D_location,log,km,-0.11,,-4.25,,*,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,11,DWater,water_proximity,E_environment,level,km,-1702.6,,-3.79,,*,,,high,"straight-line distance to water (ponds, river) merged with main parks/green areas","asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,11,DWater,water_proximity,E_environment,log,km,-0.01,,-0.37,,,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,DWater,water_proximity,E_environment,level,km,-299.82,,-0.58,,,,,high,"straight-line distance to water (ponds, river) merged with main parks/green areas","asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,DWater,water_proximity,E_environment,log,km,-0.01,,-0.93,,,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,11,DNuis,hazard_site,E_environment,level,km,2816.35,,3.8,,*,,,high,"distance to nearest nuisance (contaminating factories, slagheaps)","asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,11,DNuis,hazard_site,E_environment,log,km,0.03,,1.54,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,DNuis,hazard_site,E_environment,level,km,3184.94,,4.18,,*,,,high,"distance to nearest nuisance (contaminating factories, slagheaps)","asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,DNuis,hazard_site,E_environment,log,km,0.03,,1.29,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LIN,3,LIN,11,Prest,other,other,binary,binary,4761.57,,5.97,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"asking price, USD",level,OLS,325.0,0.69,t,"Whole sample, linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOG,3,LOG,11,Prest,other,other,binary,binary,0.09,,2.74,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,Prest,other,other,binary,binary,2453.18,,2.77,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,Prest,other,other,binary,binary,0.08,,2.01,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,N·DCBD,cbd_distance,D_location,other,km,737.47,,2.91,,*,,,high,interaction North direction x DCBD (ref East),"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,N·DCBD,cbd_distance,D_location,other,km,0.01,,0.35,,,,,high,interaction North direction x DCBD (ref East),"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,S·DCBD,cbd_distance,D_location,other,km,-61.76,,-0.52,,,,,high,interaction South direction x DCBD (ref East),"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,S·DCBD,cbd_distance,D_location,other,km,-0.03,,-1.56,,,,,high,interaction South direction x DCBD (ref East),"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LINDIR,3,LINDIR,11,W·DCBD,cbd_distance,D_location,other,km,746.62,,5.01,,*,,,high,interaction West direction x DCBD (ref East),"asking price, USD",level,OLS,325.0,0.71,t,"Whole sample, linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T3-LOGDIR,3,LOGDIR,11,W·DCBD,cbd_distance,D_location,other,km,-0.04,,-1.74,,,,,high,interaction West direction x DCBD (ref East),"ln(asking price, USD)",log,OLS,325.0,0.77,t,"Whole sample, log-linear with direction x DCBD interactions (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Floor1,floor_level,A_structural,dummy,binary,-7739.64,,-2.28,,*,,,high,first-floor dummy,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Floor1,floor_level,A_structural,dummy,binary,-0.2,,-2.24,,*,,,high,first-floor dummy,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Floor1,floor_level,A_structural,dummy,binary,-240.1,,-0.33,,,,,high,first-floor dummy,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Floor1,floor_level,A_structural,dummy,binary,-0.01,,-0.22,,,,,high,first-floor dummy,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,FloorT,floor_level,A_structural,dummy,binary,-2934.34,,-1.48,,,,,high,top-floor dummy,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,FloorT,floor_level,A_structural,dummy,binary,-0.1,,-1.84,,,,,high,top-floor dummy,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,FloorT,floor_level,A_structural,dummy,binary,-987.3,,-1.38,,,,,high,top-floor dummy,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,FloorT,floor_level,A_structural,dummy,binary,-0.05,,-1.6,,,,,high,top-floor dummy,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Build,storeys,A_structural,dummy,binary,6897.53,,2.65,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Build,storeys,A_structural,dummy,binary,0.16,,2.22,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Build,storeys,A_structural,dummy,binary,3741.82,,5.77,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Build,storeys,A_structural,dummy,binary,0.2,,7.71,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Phone,other,other,binary,binary,-186.15,,-0.06,,,,,high,Phone: wired telephone connection dummy,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Phone,other,other,binary,binary,0.04,,0.5,,,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Phone,other,other,binary,binary,998.89,,1.5,,,,,high,Phone: wired telephone connection dummy,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Phone,other,other,binary,binary,0.06,,2.18,,*,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Area,living_area,A_structural,level,m2,566.02,,4.8,,*,,,high,total area of the apartment,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Area,living_area,A_structural,log,m2,0.86,,4.81,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Area,living_area,A_structural,level,m2,363.13,,6.07,,*,,,high,total area of the apartment,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Area,living_area,A_structural,log,m2,0.43,,3.53,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Balc,terrace_balcony,C_exterior,level,count,-2287.85,,-1.08,,,,,high,rank 0-2: balcony and/or loggia,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Balc,terrace_balcony,C_exterior,level,count,-0.05,,-0.8,,,,,high,rank 0-2: balcony and/or loggia,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Balc,terrace_balcony,C_exterior,level,count,-597.1,,-0.86,,,,,high,rank 0-2: balcony and/or loggia,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Balc,terrace_balcony,C_exterior,level,count,-0.0,,-0.08,,,,,low,rank 0-2: balcony and/or loggia; printed as -0.00/0.00,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Cond2,condition,A_structural,dummy,binary,-205.56,,-0.06,,,,,high,condition 2 satisfactory (ref: repair needed),"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Cond2,condition,A_structural,dummy,binary,-0.01,,-0.11,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Cond2,condition,A_structural,dummy,binary,828.44,,0.77,,,,,high,condition 2 satisfactory (ref: repair needed),"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Cond2,condition,A_structural,dummy,binary,0.02,,0.46,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Cond3,condition,A_structural,dummy,binary,1792.23,,0.38,,,,,high,condition 3 cosmetic repair needed,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Cond3,condition,A_structural,dummy,binary,0.04,,0.33,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Cond3,condition,A_structural,dummy,binary,1349.33,,0.92,,,,,high,condition 3 cosmetic repair needed,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Cond3,condition,A_structural,dummy,binary,0.02,,0.31,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Cond4,condition,A_structural,dummy,binary,1239.57,,0.38,,,,,high,condition 4 normal,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Cond4,condition,A_structural,dummy,binary,0.01,,0.07,,,,,high,condition 4 normal,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Cond4,condition,A_structural,dummy,binary,473.89,,0.46,,,,,high,condition 4 normal,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Cond4,condition,A_structural,dummy,binary,0.04,,1.04,,,,,high,condition 4 normal,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Cond5,condition,A_structural,dummy,binary,-751.75,,-0.23,,,,,high,condition 5 good,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Cond5,condition,A_structural,dummy,binary,-0.04,,-0.43,,,,,high,condition 5 good,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Cond5,condition,A_structural,dummy,binary,1899.72,,1.9,,,,,high,condition 5 good,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Cond5,condition,A_structural,dummy,binary,0.09,,2.21,,*,,,high,condition 5 good,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Cond6,condition,A_structural,dummy,binary,9885.78,,2.28,,*,,,high,condition 6 perfect,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Cond6,condition,A_structural,dummy,binary,0.22,,1.85,,,,,high,condition 6 perfect,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Cond6,condition,A_structural,dummy,binary,2603.74,,2.01,,*,,,high,condition 6 perfect,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Cond6,condition,A_structural,dummy,binary,0.12,,2.25,,*,,,high,condition 6 perfect,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,Cond7,condition,A_structural,dummy,binary,7147.54,,1.44,,,,,high,condition 7 Euro-renovation,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,Cond7,condition,A_structural,dummy,binary,0.15,,1.17,,,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Cond7,condition,A_structural,dummy,binary,9219.21,,6.42,,*,,,high,condition 7 Euro-renovation,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Cond7,condition,A_structural,dummy,binary,0.33,,5.79,,*,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,DCBD,cbd_distance,D_location,level,km,-6260.55,,-2.55,,*,,,high,road-network distance to CBD (central square),"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,DCBD,cbd_distance,D_location,log,km,-0.13,,-2.06,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,DCBD,cbd_distance,D_location,level,km,-612.39,,-5.64,,*,,,high,road-network distance to CBD (central square),"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,DCBD,cbd_distance,D_location,log,km,-0.31,,-10.65,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,DSCent,commercial_distance,D_location,level,km,-1136.12,,-0.28,,,,,high,distance to nearest secondary centre (business/commercial concentration),"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,DSCent,commercial_distance,D_location,log,km,-0.12,,-0.44,,,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,DSCent,commercial_distance,D_location,level,km,-794.8,,-3.75,,*,,,high,distance to nearest secondary centre (business/commercial concentration),"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,DSCent,commercial_distance,D_location,log,km,-0.04,,-3.46,,*,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,DStop,transit_distance,D_location,level,km,3523.89,,0.4,,,,,high,distance to nearest public transport stop,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,DStop,transit_distance,D_location,log,km,0.01,,0.09,,,,,medium,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,DStop,transit_distance,D_location,level,km,2757.43,,1.58,,,,,high,distance to nearest public transport stop,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,DStop,transit_distance,D_location,log,km,0.01,,0.54,,,,,medium,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,DRail,transit_distance,D_location,level,km,-5185.56,,-1.84,,,,,high,distance to the main railway station,"asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,DRail,transit_distance,D_location,log,km,-0.83,,-1.48,,,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,DRail,transit_distance,D_location,level,km,-217.81,,-2.43,,*,,,high,distance to the main railway station,"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,DRail,transit_distance,D_location,log,km,-0.08,,-3.95,,*,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,DWater,water_proximity,E_environment,level,km,8017.64,,1.0,,,,,high,"straight-line distance to water (ponds, river) merged with main parks/green areas","asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,DWater,water_proximity,E_environment,log,km,0.07,,0.93,,,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,DWater,water_proximity,E_environment,level,km,-1442.2,,-3.28,,*,,,high,"straight-line distance to water (ponds, river) merged with main parks/green areas","asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,DWater,water_proximity,E_environment,log,km,-0.04,,-2.03,,*,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Cent,4,1 (LIN_Cent),13,DNuis,hazard_site,E_environment,level,km,-4839.16,,-0.83,,,,,high,"distance to nearest nuisance (contaminating factories, slagheaps)","asking price, USD",level,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (=1 for all) (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Cent,4,2 (LOG_Cent),13,DNuis,hazard_site,E_environment,log,km,-0.12,,-0.54,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,75.0,0.47,t,Central administrative district only; Prest omitted (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,DNuis,hazard_site,E_environment,level,km,724.51,,0.99,,,,,high,"distance to nearest nuisance (contaminating factories, slagheaps)","asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,DNuis,hazard_site,E_environment,log,km,0.03,,1.72,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LIN_Out,4,3 (LIN_Out),13,Prest,other,other,binary,binary,2282.15,,3.01,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"asking price, USD",level,OLS,250.0,0.69,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:T4-LOG_Out,4,4 (LOG_Out),13,Prest,other,other,binary,binary,0.06,,2.02,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"ln(asking price, USD)",log,OLS,250.0,0.73,t,Outside the central district (adjusted R2)
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Floor1,floor_level,A_structural,dummy,binary,-0.02,,-0.82,,,,,high,first-floor dummy,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Floor1,floor_level,A_structural,dummy,binary,-0.03,,-0.99,,,,,high,first-floor dummy,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Floor1,floor_level,A_structural,dummy,binary,-0.02,,-0.77,,,,,high,first-floor dummy,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Floor1,floor_level,A_structural,dummy,binary,-0.02,,-0.9,,,,,high,first-floor dummy,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,FloorT,floor_level,A_structural,dummy,binary,-0.06,,-2.51,,*,,,high,top-floor dummy,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,FloorT,floor_level,A_structural,dummy,binary,-0.06,,-2.33,,*,,,high,top-floor dummy,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,FloorT,floor_level,A_structural,dummy,binary,-0.06,,-2.41,,*,,,high,top-floor dummy,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,FloorT,floor_level,A_structural,dummy,binary,-0.05,,-2.24,,*,,,high,top-floor dummy,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Build,storeys,A_structural,dummy,binary,0.14,,6.11,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Build,storeys,A_structural,dummy,binary,0.16,,6.59,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Build,storeys,A_structural,dummy,binary,0.14,,6.14,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Build,storeys,A_structural,dummy,binary,0.16,,6.58,,*,,,high,"nine-storey (newer, 1970s-80s) vs five-storey (1950s-60s) building; also proxies age","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Phone,other,other,binary,binary,0.07,,2.77,,*,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Phone,other,other,binary,binary,0.06,,2.54,,*,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Phone,other,other,binary,binary,0.07,,2.57,,*,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Phone,other,other,binary,binary,0.06,,2.33,,*,,,high,Phone: wired telephone connection dummy,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Area,living_area,A_structural,log,m2,0.6,,6.4,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Area,living_area,A_structural,log,m2,0.6,,6.25,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Area,living_area,A_structural,log,m2,0.62,,6.56,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Area,living_area,A_structural,log,m2,0.61,,6.44,,*,,,medium,"total area of the apartment; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Balc,terrace_balcony,C_exterior,level,count,-0.01,,-0.31,,,,,high,rank 0-2: balcony and/or loggia,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Balc,terrace_balcony,C_exterior,level,count,-0.01,,-0.08,,,,,high,rank 0-2: balcony and/or loggia,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Balc,terrace_balcony,C_exterior,level,count,-0.01,,-0.14,,,,,high,rank 0-2: balcony and/or loggia,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Balc,terrace_balcony,C_exterior,level,count,0.01,,0.11,,,,,high,rank 0-2: balcony and/or loggia,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Cond2,condition,A_structural,dummy,binary,0.01,,0.34,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Cond2,condition,A_structural,dummy,binary,0.01,,0.26,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Cond2,condition,A_structural,dummy,binary,0.01,,0.38,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Cond2,condition,A_structural,dummy,binary,0.01,,0.3,,,,,high,condition 2 satisfactory (ref: repair needed),"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Cond3,condition,A_structural,dummy,binary,0.02,,0.29,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Cond3,condition,A_structural,dummy,binary,0.01,,0.21,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Cond3,condition,A_structural,dummy,binary,0.01,,0.25,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Cond3,condition,A_structural,dummy,binary,0.01,,0.16,,,,,high,condition 3 cosmetic repair needed,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Cond4,condition,A_structural,dummy,binary,0.03,,0.82,,,,,high,condition 4 normal,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Cond4,condition,A_structural,dummy,binary,0.03,,0.71,,,,,high,condition 4 normal,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Cond4,condition,A_structural,dummy,binary,0.03,,0.91,,,,,high,condition 4 normal,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Cond4,condition,A_structural,dummy,binary,0.03,,0.8,,,,,high,condition 4 normal,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Cond5,condition,A_structural,dummy,binary,0.05,,1.31,,,,,high,condition 5 good,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Cond5,condition,A_structural,dummy,binary,0.05,,1.33,,,,,high,condition 5 good,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Cond5,condition,A_structural,dummy,binary,0.05,,1.44,,,,,high,condition 5 good,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Cond5,condition,A_structural,dummy,binary,0.05,,1.46,,,,,high,condition 5 good,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Cond6,condition,A_structural,dummy,binary,0.12,,2.56,,*,,,high,condition 6 perfect,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Cond6,condition,A_structural,dummy,binary,0.13,,2.65,,*,,,high,condition 6 perfect,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Cond6,condition,A_structural,dummy,binary,0.13,,2.8,,*,,,high,condition 6 perfect,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Cond6,condition,A_structural,dummy,binary,0.14,,2.88,,*,,,high,condition 6 perfect,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,Cond7,condition,A_structural,dummy,binary,0.3,,5.92,,*,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,Cond7,condition,A_structural,dummy,binary,0.3,,5.83,,*,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,Cond7,condition,A_structural,dummy,binary,0.31,,6.01,,*,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,Cond7,condition,A_structural,dummy,binary,0.3,,5.94,,*,,,high,condition 7 Euro-renovation,"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,DCBD,cbd_distance,D_location,log,km,-0.19,,-9.11,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,DCBD,cbd_distance,D_location,log,km,-0.23,,-11.18,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,DCBD,cbd_distance,D_location,log,km,-0.18,,-7.25,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,DCBD,cbd_distance,D_location,log,km,-0.21,,-7.72,,*,,,medium,"road-network distance to CBD (central square); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,DSCent,commercial_distance,D_location,log,km,-0.05,,-4.26,,*,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,DSCent,commercial_distance,D_location,log,km,-0.05,,-4.04,,*,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,DSCent,commercial_distance,D_location,log,km,-0.04,,-3.26,,*,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,DSCent,commercial_distance,D_location,log,km,-0.04,,-2.84,,*,,,medium,"distance to nearest secondary centre (business/commercial concentration); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,DStop,transit_distance,D_location,log,km,-0.01,,-0.32,,,,,medium,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,DStop,transit_distance,D_location,log,km,-0.01,,-0.62,,,,,medium,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,DStop,transit_distance,D_location,log,km,-0.01,,-0.22,,,,,medium,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,DStop,transit_distance,D_location,log,km,-0.01,,-0.52,,,,,medium,"distance to nearest public transport stop; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,DRail,transit_distance,D_location,log,km,-0.08,,-4.32,,*,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,DRail,transit_distance,D_location,log,km,-0.11,,-4.86,,*,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,DRail,transit_distance,D_location,log,km,-0.08,,-3.56,,*,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,DRail,transit_distance,D_location,log,km,-0.1,,-4.01,,*,,,medium,"distance to the main railway station; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,21,DWater,water_proximity,E_environment,log,km,-0.01,,-0.36,,,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,21,DWater,water_proximity,E_environment,log,km,-0.01,,-0.68,,,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,21,DWater,water_proximity,E_environment,log,km,-0.01,,-0.87,,,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,21,DWater,water_proximity,E_environment,log,km,-0.02,,-1.27,,,,,medium,"straight-line distance to water (ponds, river) merged with main parks/green areas; regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,22,DNuis,hazard_site,E_environment,log,km,0.02,,1.16,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,22,DNuis,hazard_site,E_environment,log,km,0.02,,1.18,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,22,DNuis,hazard_site,E_environment,log,km,0.02,,1.0,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,22,DNuis,hazard_site,E_environment,log,km,0.02,,0.91,,,,,medium,"distance to nearest nuisance (contaminating factories, slagheaps); regressor assumed logged in the log model (not stated; inferred from coefficient magnitudes, see study notes)","ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SAR,Appendix,LOG SAR,22,Prest,other,other,binary,binary,0.09,,2.87,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial autoregressive (lag) model, rho 0.21 (3.74)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOG-SEM,Appendix,LOG SEM,22,Prest,other,other,binary,binary,0.1,,2.82,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model, lambda 0.22 (3.32)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,22,Prest,other,other,binary,binary,0.07,,2.17,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,22,Prest,other,other,binary,binary,0.08,,2.09,,*,,,high,Prest: prestigious-area dummy (used in place of unavailable income data),"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,22,N·DCBD,cbd_distance,D_location,other,km,0.01,,0.35,,,,,high,interaction North direction x DCBD (ref East),"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,22,N·DCBD,cbd_distance,D_location,other,km,0.01,,0.12,,,,,high,interaction North direction x DCBD (ref East),"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,22,S·DCBD,cbd_distance,D_location,other,km,-0.02,,-1.0,,,,,high,interaction South direction x DCBD (ref East),"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,22,S·DCBD,cbd_distance,D_location,other,km,-0.04,,-1.55,,,,,high,interaction South direction x DCBD (ref East),"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SAR,Appendix,LOGDIR SAR,22,W·DCBD,cbd_distance,D_location,other,km,-0.03,,-1.6,,,,,high,interaction West direction x DCBD (ref East),"ln(asking price, USD)",log,spatial_lag,325.0,0.77,t,"Spatial lag model with direction interactions, rho 0.19 (3.31)* (adjusted R2)"
416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba,416244dcac790a50e1100858c6071c54dd1650ba:A-LOGDIR-SEM,Appendix,LOGDIR SEM,22,W·DCBD,cbd_distance,D_location,other,km,-0.04,,-2.07,,*,,,high,interaction West direction x DCBD (ref East),"ln(asking price, USD)",log,spatial_error,325.0,0.78,t,"Spatial error model with direction interactions, lambda 0.21 (3.18)* (adjusted R2)"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T6-M1,6,Model 1,9,Bedrooms,bedrooms,A_structural,level,count,0.589,0.005,114.16,0.0,,0.579,0.599,high,studios coded 0,"ln(monthly rent, THB)",log,OLS,14849.0,0.492,se,Pooled three cities; city dummies + bedrooms (adj. R2 0.492)
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T6-M2,6,Model 2,9,Bedrooms,bedrooms,A_structural,level,count,0.104,0.009,12.202,0.0,,0.087,0.12,high,,"ln(monthly rent, THB)",log,OLS,14849.0,0.662,se,Pooled three cities; adds ln(size) (adj. R2 0.662)
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T6-M2,6,Model 2,9,ln(size),living_area,A_structural,log,m2,0.822,0.012,67.554,0.0,,0.798,0.846,high,"unit size in sqm, log","ln(monthly rent, THB)",log,OLS,14849.0,0.662,se,Pooled three cities; adds ln(size) (adj. R2 0.662)
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: Garden,view,E_environment,binary,binary,-0.074,0.016,-4.728,0.0,,-0.105,-0.043,high,ref: city view; %change -7.1,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: Lake,view,E_environment,binary,binary,0.183,0.033,5.49,0.0,,0.117,0.248,high,ref: city view; %change +20.0,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: Mountain,view,E_environment,binary,binary,-0.079,0.017,-4.519,0.0,,-0.113,-0.045,high,ref: city view; %change -7.6,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: Pool,view,E_environment,binary,binary,-0.136,0.013,-10.314,0.0,,-0.162,-0.11,high,ref: city view; %change -12.7,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: River,view,E_environment,binary,binary,-0.158,0.049,-3.205,0.001,,-0.255,-0.061,high,ref: city view; %change -14.6,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: Sea,view,E_environment,binary,binary,0.159,0.015,10.491,0.0,,0.129,0.188,high,ref: city view; %change +17.2,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: Skyline,view,E_environment,binary,binary,0.044,0.014,3.206,0.001,,0.017,0.071,high,ref: city view; %change +4.5,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,View: Unblocked Open,view,E_environment,binary,binary,-0.092,0.015,-6.075,0.0,,-0.121,-0.062,high,ref: city view; %change -8.8,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,Bedrooms,bedrooms,A_structural,level,count,0.088,0.009,9.521,0.0,,0.07,0.107,high,,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,ln(size),living_area,A_structural,log,m2,0.755,0.016,47.358,0.0,,0.723,0.786,high,"unit size in sqm, log","ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T7-M3,7,Model 3,11,Bathrooms,bathrooms,A_structural,level,count,0.077,0.013,5.997,0.0,,0.052,0.102,high,,"ln(monthly rent, THB)",log,OLS,13224.0,0.668,se,"Pooled three cities, listings with bathrooms and view type; adds bathrooms + view dummies (ref: city view); adj. R2 0.668"
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-BKK,8,Bangkok (+ transit distance),12,Distance to BTS/MRT (km),transit_distance,D_location,level,km,-0.082,0.004,,0.0,,,,high,distance to nearest BTS skytrain / MRT station; %change -7.9,"ln(monthly rent, THB)",log,OLS,7195.0,0.674,se,Bangkok only; Model 3 covariates + distance to BTS/MRT; adj. R2 0.674; only listed coefficients printed
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-BKK,8,Bangkok (+ transit distance),12,ln(size),living_area,A_structural,log,m2,0.735,0.024,,0.0,,,,high,,"ln(monthly rent, THB)",log,OLS,7195.0,0.674,se,Bangkok only; Model 3 covariates + distance to BTS/MRT; adj. R2 0.674; only listed coefficients printed
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-BKK,8,Bangkok (+ transit distance),12,Bathrooms,bathrooms,A_structural,level,count,0.086,0.015,,0.0,,,,high,,"ln(monthly rent, THB)",log,OLS,7195.0,0.674,se,Bangkok only; Model 3 covariates + distance to BTS/MRT; adj. R2 0.674; only listed coefficients printed
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-BKK,8,Bangkok (+ transit distance),12,Bedrooms,bedrooms,A_structural,level,count,0.07,0.014,,0.0,,,,high,,"ln(monthly rent, THB)",log,OLS,7195.0,0.674,se,Bangkok only; Model 3 covariates + distance to BTS/MRT; adj. R2 0.674; only listed coefficients printed
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-PKT,8,Phuket & Pattaya (+ floor level),12,Floor level,floor_level,A_structural,level,count,0.002,0.001,,0.183,,,,high,"text reports 0.0017 per storey, p=0.18","ln(monthly rent, THB)",log,OLS,4422.0,0.703,se,Phuket and Pattaya only (Phuket reference); Model 3 covariates + floor level; adj. R2 0.703; only listed coefficients printed
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-PKT,8,Phuket & Pattaya (+ floor level),12,ln(size),living_area,A_structural,log,m2,0.629,0.021,,0.0,,,,high,,"ln(monthly rent, THB)",log,OLS,4422.0,0.703,se,Phuket and Pattaya only (Phuket reference); Model 3 covariates + floor level; adj. R2 0.703; only listed coefficients printed
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-PKT,8,Phuket & Pattaya (+ floor level),12,Bathrooms,bathrooms,A_structural,level,count,0.073,0.026,,0.005,,,,high,,"ln(monthly rent, THB)",log,OLS,4422.0,0.703,se,Phuket and Pattaya only (Phuket reference); Model 3 covariates + floor level; adj. R2 0.703; only listed coefficients printed
41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4,41a24683a4b966679145f8c822178e61a9a339a4:T8-PKT,8,Phuket & Pattaya (+ floor level),12,Bedrooms,bedrooms,A_structural,level,count,0.157,0.014,,0.0,,,,high,,"ln(monthly rent, THB)",log,OLS,4422.0,0.703,se,Phuket and Pattaya only (Phuket reference); Model 3 covariates + floor level; adj. R2 0.703; only listed coefficients printed
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Living Area [log],living_area,A_structural,log,m2,0.8,0.01,81.98,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Age [years],age,A_structural,level,years,0.0,0.0,-20.11,0.0,***,,,medium,Coefficient and SE printed as 0.00 (rounded); t = -20.11,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Age squared,age,A_structural,squared,years,0.0,0.0,19.59,0.0,***,,,medium,Printed as 0.00 (rounded),"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Rooms,bedrooms,A_structural,level,count,0.04,0.0,10.05,0.0,***,,,high,Number of rooms,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Floor,floor_level,A_structural,level,count,0.0,0.0,5.29,0.0,***,,,medium,Printed as 0.00 (rounded),"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Bathtub,bathroom_quality,B_interior,binary,binary,-0.04,0.0,-9.78,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Refurbished,renovation,A_structural,binary,binary,0.02,0.01,3.03,0.0,**,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Built-in kitchen,kitchen_quality,B_interior,binary,binary,0.11,0.01,21.65,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Balcony,terrace_balcony,C_exterior,binary,binary,0.02,0.0,3.84,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Parking,parking,A_structural,binary,binary,0.03,0.01,4.88,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Elevator,accessibility,B_interior,binary,binary,0.04,0.01,7.64,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Terrace,terrace_balcony,C_exterior,binary,binary,0.04,0.01,5.99,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,NUTS centroid [km],cbd_distance,D_location,level,km,-0.02,0.0,-13.02,0.0,***,,,high,Distance to NUTS-3 centroid (city centre proxy),"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Bakery [km],neighbourhood_amenities,F_neighbourhood,level,km,-0.01,0.01,-1.22,0.22,,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Bar [km],neighbourhood_amenities,F_neighbourhood,level,km,-0.02,0.0,-3.73,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Biergarten [km],neighbourhood_amenities,F_neighbourhood,level,km,-0.05,0.0,-14.71,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Café [km],neighbourhood_amenities,F_neighbourhood,level,km,-0.02,0.01,-2.11,0.03,*,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,School [km],school_distance,D_location,level,km,-0.03,0.01,-2.35,0.02,*,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Supermarket [km],commercial_distance,D_location,level,km,0.02,0.01,1.2,0.23,,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-A,6,Panel A,32,Bus station [km],transit_distance,D_location,level,km,-0.04,0.0,-17.16,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,"OLS including spatial controls (coordinates, distances); SE/t/p printed in columns"
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,32,Living Area [log],living_area,A_structural,log,m2,0.84,0.01,76.62,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,32,Age [years],age,A_structural,level,years,0.0,0.0,-18.16,0.0,***,,,medium,Printed as 0.00 (rounded),"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,32,Age squared,age,A_structural,squared,years,0.0,0.0,21.45,0.0,***,,,medium,Printed as 0.00 (rounded),"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Rooms,bedrooms,A_structural,level,count,0.03,0.0,6.32,0.0,***,,,high,Number of rooms,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Floor,floor_level,A_structural,level,count,0.01,0.0,6.43,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Bathtub,bathroom_quality,B_interior,binary,binary,-0.05,0.0,-10.78,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Refurbished,renovation,A_structural,binary,binary,0.03,0.01,4.53,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Built-in kitchen,kitchen_quality,B_interior,binary,binary,0.15,0.01,26.57,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Balcony,terrace_balcony,C_exterior,binary,binary,0.02,0.01,2.94,0.0,**,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Parking,parking,A_structural,binary,binary,0.01,0.01,1.52,0.13,,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Elevator,accessibility,B_interior,binary,binary,0.1,0.01,16.78,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d,41c05e4c190bfd812f576bb4bc53a0c147331a7d:T6-B,6,Panel B,33,Terrace,terrace_balcony,C_exterior,binary,binary,0.03,0.01,4.06,0.0,***,,,high,,"log(rent) (monthly asking rent, EUR)",log,OLS,9256.0,,se,OLS excluding spatial controls; continued on page 33
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,energ_clas,energy_efficiency,A_structural,other,index,-0.042,0.003,,,***,,,high,Mean-centred standardized coefficient. Energy class (ordinal); negative sign = worse class lowers price,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,energ_clas,energy_efficiency,A_structural,other,index,-0.042,0.003,,,***,,,high,Mean-centred standardized coefficient. Energy class (ordinal); negative sign = worse class lowers price,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,energ_clas,energy_efficiency,A_structural,other,index,-0.046,0.003,,,***,,,high,Mean-centred standardized coefficient. Energy class (ordinal); negative sign = worse class lowers price,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,energ_clas,energy_efficiency,A_structural,other,index,-0.03,0.005,,,***,,,high,Mean-centred standardized coefficient. Energy class (ordinal); negative sign = worse class lowers price,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,energ_clas,energy_efficiency,A_structural,other,index,-0.048,0.004,,,***,,,high,Mean-centred standardized coefficient. Energy class (ordinal); negative sign = worse class lowers price,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,sup_mq,living_area,A_structural,other,m2,0.405,0.003,,,***,,,high,Mean-centred standardized coefficient. Surface in m2,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,sup_mq,living_area,A_structural,other,m2,0.405,0.003,,,***,,,high,Mean-centred standardized coefficient. Surface in m2,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,sup_mq,living_area,A_structural,other,m2,0.439,0.004,,,***,,,high,Mean-centred standardized coefficient. Surface in m2,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,sup_mq,living_area,A_structural,other,m2,0.531,0.006,,,***,,,high,Mean-centred standardized coefficient. Surface in m2,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,sup_mq,living_area,A_structural,other,m2,0.35,0.004,,,***,,,high,Mean-centred standardized coefficient. Surface in m2,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,cond_fees,other,other,other,currency,0.006,0.003,,,*,,,high,Mean-centred standardized coefficient. Condominium fees,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,cond_fees,other,other,other,currency,0.006,0.003,,,*,,,high,Mean-centred standardized coefficient. Condominium fees,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,cond_fees,other,other,other,currency,0.019,0.003,,,***,,,high,Mean-centred standardized coefficient. Condominium fees,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,cond_fees,other,other,other,currency,0.01,0.005,,,*,,,high,Mean-centred standardized coefficient. Condominium fees,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,cond_fees,other,other,other,currency,0.025,0.004,,,***,,,high,Mean-centred standardized coefficient. Condominium fees,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,kitch_type,kitchen_quality,B_interior,other,index,0.083,0.006,,,***,,,high,Mean-centred standardized coefficient. Kitchen type,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,kitch_type,kitchen_quality,B_interior,other,index,0.083,0.006,,,***,,,high,Mean-centred standardized coefficient. Kitchen type,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,kitch_type,kitchen_quality,B_interior,other,index,0.064,0.007,,,***,,,high,Mean-centred standardized coefficient. Kitchen type,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,kitch_type,kitchen_quality,B_interior,other,index,0.103,0.012,,,***,,,high,Mean-centred standardized coefficient. Kitchen type,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,kitch_type,kitchen_quality,B_interior,other,index,0.052,0.008,,,***,,,high,Mean-centred standardized coefficient. Kitchen type,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,elevat,accessibility,B_interior,other,binary,0.115,0.006,,,***,,,high,Mean-centred standardized coefficient. Presence of elevator,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,elevat,accessibility,B_interior,other,binary,0.115,0.006,,,***,,,high,Mean-centred standardized coefficient. Presence of elevator,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,elevat,accessibility,B_interior,other,binary,0.154,0.007,,,***,,,high,Mean-centred standardized coefficient. Presence of elevator,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,elevat,accessibility,B_interior,other,binary,0.206,0.013,,,***,,,high,Mean-centred standardized coefficient. Presence of elevator,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,elevat,accessibility,B_interior,other,binary,0.077,0.008,,,***,,,high,Mean-centred standardized coefficient. Presence of elevator,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,balcony,terrace_balcony,C_exterior,other,binary,0.011,0.006,,,*,,,high,Mean-centred standardized coefficient.,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,balcony,terrace_balcony,C_exterior,other,binary,0.012,0.006,,,*,,,high,Mean-centred standardized coefficient.,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,balcony,terrace_balcony,C_exterior,other,binary,-0.019,0.007,,,**,,,high,Mean-centred standardized coefficient.,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,balcony,terrace_balcony,C_exterior,other,binary,0.008,0.011,,,,,,high,Mean-centred standardized coefficient.,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,balcony,terrace_balcony,C_exterior,other,binary,-0.043,0.008,,,***,,,high,Mean-centred standardized coefficient.,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,garage,garage,A_structural,other,binary,0.169,0.006,,,***,,,high,Mean-centred standardized coefficient. Garage/box,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,garage,garage,A_structural,other,binary,0.168,0.006,,,***,,,high,Mean-centred standardized coefficient. Garage/box,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,garage,garage,A_structural,other,binary,0.121,0.007,,,***,,,high,Mean-centred standardized coefficient. Garage/box,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,garage,garage,A_structural,other,binary,0.07,0.012,,,***,,,high,Mean-centred standardized coefficient. Garage/box,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,garage,garage,A_structural,other,binary,0.205,0.008,,,***,,,high,Mean-centred standardized coefficient. Garage/box,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,furnish_type,other,other,other,index,-0.006,0.006,,,,,,high,Mean-centred standardized coefficient. Furnishing type,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,furnish_type,other,other,other,index,-0.006,0.006,,,,,,high,Mean-centred standardized coefficient. Furnishing type,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,furnish_type,other,other,other,index,0.017,0.007,,,*,,,high,Mean-centred standardized coefficient. Furnishing type,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,furnish_type,other,other,other,index,0.036,0.011,,,**,,,high,Mean-centred standardized coefficient. Furnishing type,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,furnish_type,other,other,other,index,-0.023,0.008,,,**,,,high,Mean-centred standardized coefficient. Furnishing type,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,prop_status_2,condition,A_structural,other,binary,-0.079,0.009,,,***,,,high,Mean-centred standardized coefficient. Property status: renewed (ref. new),House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,prop_status_2,condition,A_structural,other,binary,-0.079,0.009,,,***,,,high,Mean-centred standardized coefficient. Property status: renewed (ref. new),House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,prop_status_2,condition,A_structural,other,binary,-0.045,0.011,,,***,,,high,Mean-centred standardized coefficient. Property status: renewed (ref. new),House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,prop_status_2,condition,A_structural,other,binary,0.015,0.02,,,,,,high,Mean-centred standardized coefficient. Property status: renewed (ref. new),House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,prop_status_2,condition,A_structural,other,binary,-0.1,0.012,,,***,,,high,Mean-centred standardized coefficient. Property status: renewed (ref. new),House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,prop_status_3,condition,A_structural,other,binary,-0.213,0.01,,,***,,,high,Mean-centred standardized coefficient. Property status: habitable (ref. new),House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,prop_status_3,condition,A_structural,other,binary,-0.213,0.01,,,***,,,high,Mean-centred standardized coefficient. Property status: habitable (ref. new),House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,prop_status_3,condition,A_structural,other,binary,-0.175,0.012,,,***,,,high,Mean-centred standardized coefficient. Property status: habitable (ref. new),House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,prop_status_3,condition,A_structural,other,binary,-0.153,0.021,,,***,,,high,Mean-centred standardized coefficient. Property status: habitable (ref. new),House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,prop_status_3,condition,A_structural,other,binary,-0.221,0.012,,,***,,,high,Mean-centred standardized coefficient. Property status: habitable (ref. new),House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,prop_status_4,condition,A_structural,other,binary,-0.31,0.013,,,***,,,high,Mean-centred standardized coefficient. Property status: to be renewed (ref. new),House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,prop_status_4,condition,A_structural,other,binary,-0.31,0.013,,,***,,,high,Mean-centred standardized coefficient. Property status: to be renewed (ref. new),House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,prop_status_4,condition,A_structural,other,binary,-0.248,0.016,,,***,,,high,Mean-centred standardized coefficient. Property status: to be renewed (ref. new),House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,prop_status_4,condition,A_structural,other,binary,-0.205,0.024,,,***,,,high,Mean-centred standardized coefficient. Property status: to be renewed (ref. new),House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,prop_status_4,condition,A_structural,other,binary,-0.4,0.021,,,***,,,high,Mean-centred standardized coefficient. Property status: to be renewed (ref. new),House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,dist_sub_st,transit_distance,D_location,other,m,-0.115,0.007,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest subway/urban rail station,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,dist_sub_st,transit_distance,D_location,other,m,-0.12,0.007,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest subway/urban rail station,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,dist_sub_st,transit_distance,D_location,other,m,-0.119,0.004,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest subway/urban rail station,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,dist_sub_st,transit_distance,D_location,other,m,0.005,0.007,,,,,,high,Mean-centred standardized coefficient. Distance in metres to nearest subway/urban rail station,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,dist_sub_st,transit_distance,D_location,other,m,-0.096,0.004,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest subway/urban rail station,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,dist_tr_st,transit_distance,D_location,other,m,-0.028,0.005,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest train station,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,dist_tr_st,transit_distance,D_location,other,m,-0.029,0.006,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest train station,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,dist_tr_st,transit_distance,D_location,other,m,-0.029,0.004,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest train station,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,dist_tr_st,transit_distance,D_location,other,m,-0.053,0.005,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest train station,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,dist_tr_st,transit_distance,D_location,other,m,-0.026,0.004,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest train station,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,dist_mall,commercial_distance,D_location,other,m,-0.001,0.005,,,,,,high,Mean-centred standardized coefficient. Distance in metres to nearest shopping mall,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,dist_mall,commercial_distance,D_location,other,m,-0.003,0.005,,,,,,high,Mean-centred standardized coefficient. Distance in metres to nearest shopping mall,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,dist_mall,commercial_distance,D_location,other,m,0.018,0.004,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest shopping mall,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,dist_mall,commercial_distance,D_location,other,m,-0.066,0.005,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest shopping mall,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,dist_mall,commercial_distance,D_location,other,m,0.003,0.004,,,,,,high,Mean-centred standardized coefficient. Distance in metres to nearest shopping mall,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c1,4,1 (Model 1 Base OLS),11,green_area,green_space,E_environment,other,m2,0.004,0.003,,,,,,high,Mean-centred standardized coefficient. Green area (m2) within 300 m radius,House price (log),log,OLS,10530.0,0.858,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,green_area,green_space,E_environment,other,m2,0.004,0.003,,,,,,high,Mean-centred standardized coefficient. Green area (m2) within 300 m radius,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,green_area,green_space,E_environment,other,m2,-0.016,0.003,,,***,,,high,Mean-centred standardized coefficient. Green area (m2) within 300 m radius,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,green_area,green_space,E_environment,other,m2,-0.017,0.005,,,**,,,high,Mean-centred standardized coefficient. Green area (m2) within 300 m radius,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,green_area,green_space,E_environment,other,m2,0.02,0.003,,,***,,,high,Mean-centred standardized coefficient. Green area (m2) within 300 m radius,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,dist_stream,water_proximity,E_environment,other,m,0.012,0.005,,,*,,,high,Mean-centred standardized coefficient. Distance in metres to nearest natural stream,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,dist_stream,water_proximity,E_environment,other,m,0.012,0.003,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest natural stream,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,dist_stream,water_proximity,E_environment,other,m,0.058,0.005,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest natural stream,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,dist_stream,water_proximity,E_environment,other,m,0.024,0.004,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest natural stream,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,quality_stream,water_quality,E_environment,other,index,0.005,0.003,,,*,,,high,"Mean-centred standardized coefficient. Stream water quality, 5-point Likert (ARPA 2009-2014)",House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,quality_stream,water_quality,E_environment,other,index,0.008,0.003,,,**,,,high,"Mean-centred standardized coefficient. Stream water quality, 5-point Likert (ARPA 2009-2014)",House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,quality_stream,water_quality,E_environment,other,index,0.011,0.005,,,*,,,high,"Mean-centred standardized coefficient. Stream water quality, 5-point Likert (ARPA 2009-2014)",House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,quality_stream,water_quality,E_environment,other,index,0.01,0.004,,,**,,,high,"Mean-centred standardized coefficient. Stream water quality, 5-point Likert (ARPA 2009-2014)",House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,dist_canal,water_proximity,E_environment,other,m,-0.02,0.005,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest canal,House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,dist_canal,water_proximity,E_environment,other,m,-0.074,0.003,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest canal,House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,dist_canal,water_proximity,E_environment,other,m,-0.071,0.006,,,***,,,high,Mean-centred standardized coefficient. Distance in metres to nearest canal,House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,dist_canal,water_proximity,E_environment,other,m,-0.003,0.003,,,,,,high,Mean-centred standardized coefficient. Distance in metres to nearest canal,House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c2,4,2 (Model 2 Full OLS),11,quality_canal,water_quality,E_environment,other,index,-0.001,0.003,,,,,,high,"Mean-centred standardized coefficient. Canal water quality, 5-point Likert",House price (log),log,OLS,10530.0,0.861,se,full sample
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c3,4,3 (Model 3 Full Spatial-Lag),11,quality_canal,water_quality,E_environment,other,index,0.002,0.003,,,,,,high,"Mean-centred standardized coefficient. Canal water quality, 5-point Likert",House price (log),log,spatial_lag,10530.0,,se,full sample; rho=0.406
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c4,4,4 (Model 4 SL Milano),11,quality_canal,water_quality,E_environment,other,index,-0.007,0.005,,,,,,high,"Mean-centred standardized coefficient. Canal water quality, 5-point Likert",House price (log),log,spatial_lag,5318.0,,se,city of Milan only; rho=0.080
43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225,43d34a3cb07ebe23b958a009b21ab082b8ff0225:T4-c5,4,5 (Model 5 SL Province),11,quality_canal,water_quality,E_environment,other,index,0.0,0.004,,,,,,high,"Mean-centred standardized coefficient. Canal water quality, 5-point Likert",House price (log),log,spatial_lag,5212.0,,se,province outside Milan; rho=0.023
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,FlatSize,living_area,A_structural,level,sqft,3.229,,5.414,0.0,*,,,high,"Saleable area excluding flat roof (sq ft). Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,FlatRoof,terrace_balcony,C_exterior,level,sqft,4.056,,3.734,0.0,*,,,high,"Flat roof (private outdoor) area in sq ft. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,AGE,age,A_structural,level,years,-45.506,,-6.948,0.0,*,,,high,"Building age in years. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,Floor,floor_level,A_structural,level,count,187.311,,2.843,0.005,*,,,high,"Floor level of the unit. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,Orient,sunlight,E_environment,binary,binary,-102.268,,-1.367,0.172,,,,high,"Orientation dummy (direction not defined in table; expected negative). Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,ViewHw,view,E_environment,binary,binary,-229.866,,-2.19,0.029,**,,,high,"Highway or railway view dummy (negative view). Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,ViewMount,view,E_environment,binary,binary,390.095,,2.511,0.012,**,,,high,"Mountain view dummy. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,ViewSea,view,E_environment,binary,binary,1368.619,,8.53,0.0,*,,,high,"Sea view dummy (text also cites 1358.619; table value used). Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T3-c1,3,1,11,DUPLEX,dwelling_type,A_structural,binary,binary,588.54,,2.408,0.016,**,,,high,"Duplex (two-storey) unit dummy. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,711.0,0.745,t,"Model 1 (Duplex): South Horizons duplex and typical units, floors 15-19; adj. R2; F=231.95"
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,FlatSize,living_area,A_structural,level,sqft,2.69,,5.376,0.0,*,,,high,"Saleable area excluding flat roof (sq ft). Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,FlatRoof,terrace_balcony,C_exterior,level,sqft,4.469,,4.442,0.0,*,,,high,"Flat roof (private outdoor) area in sq ft. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,AGE,age,A_structural,level,years,-56.7,,-2.833,0.005,*,,,high,"Building age in years; quadratic (AgeSq also included). Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,AgeSq,age,A_structural,squared,years,1.538,,2.618,0.009,*,,,high,"Age squared. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,Floor,floor_level,A_structural,level,count,110.119,,4.763,0.0,*,,,high,"Floor level of the unit. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,Orient,sunlight,E_environment,binary,binary,-101.477,,-0.999,0.318,,,,high,"Orientation dummy (direction not defined in table; expected negative). Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,ViewOpen,view,E_environment,binary,binary,596.154,,3.226,0.001,*,,,high,"Open view dummy. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,ViewMount,view,E_environment,binary,binary,338.198,,1.977,0.048,**,,,high,"Mountain view dummy. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,ViewSea,view,E_environment,binary,binary,1040.848,,6.207,0.0,*,,,high,"Sea view dummy. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90,4412b66b7af7dc2e4784f04e96dda07a5d24ef90:T5-c1,5,1,12,ADJOIN,dwelling_type,A_structural,binary,binary,934.079,,2.513,0.012,*,,,high,"Adjoining (combined) flat dummy. Dependent variable is price per sq ft (level); star legend reversed (* 1%, ** 5%).","Price per square foot of saleable area (HK$, index-adjusted)",per_m2,OLS,687.0,0.81,t,Model 2 (Adjoining flats): Chi Fu Fa Yuen top floors and comparable units; adj. R2; F=266.09
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,STRDIST,transit_distance,D_location,level,m,-10.56,4.95,-2.16,,,,,high,Straight-line distance to nearest LRT station in metres; MYR per metre,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,NETDIST,transit_distance,D_location,level,m,-6.61,3.03,-2.31,,,,,high,Network distance to nearest LRT station in metres; MYR per metre,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,TIMESAVINGS,cbd_distance,D_location,other,minutes,2019.25,296.16,6.82,,,,,high,Travel time savings to CBD in minutes (higher = better accessibility); not a distance,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,TIMESAVINGS,cbd_distance,D_location,other,minutes,2046.17,296.15,6.87,,,,,high,Travel time savings to CBD in minutes (higher = better accessibility); not a distance,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,FLRAREA,living_area,A_structural,level,sqft,310.63,13.09,24.07,,,,,high,"Floor area in square feet, mean-centred","SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,FLRAREA,living_area,A_structural,level,sqft,312.65,13.09,23.99,,,,,high,"Floor area in square feet, mean-centred","SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,BEDS,bedrooms,A_structural,level,count,31485.34,3922.05,8.01,,,,,high,,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,BEDS,bedrooms,A_structural,level,count,31594.29,3922.04,8.06,,,,,high,,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,TYPTRRD,dwelling_type,A_structural,binary,binary,71160.14,9509.88,7.44,,,,,high,Terraced house dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,TYPTRRD,dwelling_type,A_structural,binary,binary,72143.93,9509.88,7.61,,,,,high,Terraced house dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,TYPSEMID,dwelling_type,A_structural,binary,binary,139696.87,22626.95,6.19,,,,,high,Semi-detached house dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,TYPSEMID,dwelling_type,A_structural,binary,binary,138713.09,22626.95,6.15,,,,,high,Semi-detached house dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,TYPDETCH,dwelling_type,A_structural,binary,binary,173145.42,17052.2,10.16,,,,,high,Detached house dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,TYPDETCH,dwelling_type,A_structural,binary,binary,170849.93,17052.2,10.02,,,,,high,Detached house dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,TYPCONDO,dwelling_type,A_structural,binary,binary,184622.86,10165.74,18.23,,,,,high,Condominium dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,TYPCONDO,dwelling_type,A_structural,binary,binary,184950.79,10165.73,18.25,,,,,high,Condominium dummy,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,CBD,cbd_distance,D_location,level,m,-17.96,1.52,-11.75,,,,,high,Distance to Kuala Lumpur CBD in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,CBD,cbd_distance,D_location,level,m,-18.61,1.55,-11.92,,,,,high,Distance to Kuala Lumpur CBD in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,PRIMARYSCH,school_distance,D_location,level,m,26.25,3.94,6.75,,,,,high,Distance to nearest primary school in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,PRIMARYSCH,school_distance,D_location,level,m,26.57,3.93,6.79,,,,,high,Distance to nearest primary school in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,SECONDARYSCH,school_distance,D_location,level,m,-11.11,4.66,-2.4,,,,,high,Distance to nearest secondary school in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,SECONDARYSCH,school_distance,D_location,level,m,-11.11,4.66,-2.36,,,,,high,Distance to nearest secondary school in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,COMMERCIAL,commercial_distance,D_location,level,m,-10.13,3.28,-3.17,,,,,high,Distance to commercial areas in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,COMMERCIAL,commercial_distance,D_location,level,m,-9.54,3.28,-2.94,,,,,high,Distance to commercial areas in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,PARK,green_space,E_environment,level,m,-1.13,0.31,-3.33,,,,,high,Distance to parks in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,PARK,green_space,E_environment,level,m,-1.13,0.31,-3.36,,,,,high,Distance to parks in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,HOSPITAL,hospital_distance,D_location,level,m,3.4,1.29,2.64,,,,,high,Distance to hospitals in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,HOSPITAL,hospital_distance,D_location,level,m,3.58,1.28,2.73,,,,,high,Distance to hospitals in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,RECREATION,neighbourhood_amenities,F_neighbourhood,level,m,-4.81,1.7,-2.84,,,,,high,Distance to recreational areas in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,RECREATION,neighbourhood_amenities,F_neighbourhood,level,m,-4.65,1.7,-2.76,,,,,high,Distance to recreational areas in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,INDUSTRY,hazard_site,E_environment,level,m,28.22,3.72,7.74,,,,,high,Distance to industrial areas in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,INDUSTRY,hazard_site,E_environment,level,m,26.91,3.71,7.23,,,,,high,Distance to industrial areas in metres,"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c1,4,Model 3 (straight-line distance),9,MALAY,demographics,F_neighbourhood,level,share,3673.45,613.52,5.99,,,,,high,Proportion of Malays in the mukim (census 2000),"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 3 (straight-line distance)
461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64,461f8c8aa68c6a2b5157bc03f6d689991ee3ac64:T4-c2,4,Model 4 (network distance),9,MALAY,demographics,F_neighbourhood,level,share,3520.07,605.85,5.83,,,,,high,Proportion of Malays in the mukim (census 2000),"SELLING (house transaction price, MYR)",level,OLS,1580.0,0.782,none,All residential sales within 2 km of Kelana Jaya LRT stations; adjusted R2 78.2%; Model 4 (network distance)
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,lnHousesize,living_area,A_structural,log,m2,0.82,0.01,,,***,,,high,"ln heated area (m2). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnHousesize,living_area,A_structural,log,m2,0.75,0.02,,,***,,,high,"ln heated area (m2). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnHousesize,living_area,A_structural,log,m2,0.75,0.02,,,***,,,high,"ln heated area (m2). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,lnParcelsize,lot_size,A_structural,log,m2,0.13,0.01,,,***,,,high,"ln parcel size (m2). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnParcelsize,lot_size,A_structural,log,m2,0.13,0.01,,,***,,,high,"ln parcel size (m2). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnParcelsize,lot_size,A_structural,log,m2,0.1,0.01,,,***,,,high,"ln parcel size (m2). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Beds,bedrooms,A_structural,level,count,-0.01,0.008,,,,,,high,"Number of bedrooms. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Beds,bedrooms,A_structural,level,count,0.001,0.009,,,,,,high,"Number of bedrooms. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Beds,bedrooms,A_structural,level,count,0.002,0.008,,,,,,high,"Number of bedrooms. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Age,age,A_structural,level,years,-0.007,0.0007,,,***,,,high,"Age of house (years), quadratic. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Age,age,A_structural,level,years,-0.007,0.0007,,,***,,,high,"Age of house (years), quadratic. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Age,age,A_structural,level,years,-0.008,0.0007,,,***,,,high,"Age of house (years), quadratic. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Agesq,age,A_structural,squared,years,7.5e-05,6.1e-06,,,***,,,high,"Age squared. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Agesq,age,A_structural,squared,years,7.3e-05,6e-06,,,***,,,high,"Age squared. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Agesq,age,A_structural,squared,years,7.5e-05,5.9e-06,,,***,,,high,"Age squared. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Fireplace,fireplace,B_interior,binary,binary,0.04,0.01,,,***,,,high,"Presence of a fireplace. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Fireplace,fireplace,B_interior,binary,binary,0.034,0.01,,,***,,,high,"Presence of a fireplace. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Fireplace,fireplace,B_interior,binary,binary,0.04,0.01,,,***,,,high,"Presence of a fireplace. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Brick,roof_materials,A_structural,binary,binary,-0.013,0.01,,,,,,high,"Masonry exterior dummy. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Brick,roof_materials,A_structural,binary,binary,0.01,0.01,,,,,,high,"Masonry exterior dummy. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Brick,roof_materials,A_structural,binary,binary,0.01,0.01,,,,,,high,"Masonry exterior dummy. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Garage,garage,A_structural,binary,binary,0.07,0.01,,,***,,,high,"Presence of a garage. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Garage,garage,A_structural,binary,binary,0.09,0.01,,,***,,,high,"Presence of a garage. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Garage,garage,A_structural,binary,binary,0.1,0.01,,,***,,,high,"Presence of a garage. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Deck,terrace_balcony,C_exterior,binary,binary,0.06,0.01,,,***,,,high,"Presence of a deck. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Deck,terrace_balcony,C_exterior,binary,binary,0.04,0.01,,,***,,,high,"Presence of a deck. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Deck,terrace_balcony,C_exterior,binary,binary,0.04,0.01,,,***,,,high,"Presence of a deck. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Pool,pool,C_exterior,binary,binary,0.1,0.02,,,***,,,high,"Presence of a pool. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Pool,pool,C_exterior,binary,binary,0.1,0.02,,,***,,,high,"Presence of a pool. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Pool,pool,C_exterior,binary,binary,0.1,0.02,,,***,,,high,"Presence of a pool. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,lnCommonspace,green_space,E_environment,log,share,0.07,0.005,,,***,,,high,"ln percent of neighbourhood (subdivision) area set aside as common/open space by developer. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnCommonspace,green_space,E_environment,log,share,0.06,0.005,,,***,,,high,"ln percent of neighbourhood (subdivision) area set aside as common/open space by developer. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnCommonspace,green_space,E_environment,log,share,0.04,0.006,,,***,,,high,"ln percent of neighbourhood (subdivision) area set aside as common/open space by developer. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,lnMajorroads,highway_distance,D_location,log,m,0.02,0.005,,,***,,,high,"ln distance to nearest major road (metres; unit per Table 1/2 distances in meters). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnMajorroads,highway_distance,D_location,log,m,0.008,0.005,,,,,,high,"ln distance to nearest major road (metres; unit per Table 1/2 distances in meters). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnMajorroads,highway_distance,D_location,log,m,0.002,0.005,,,,,,high,"ln distance to nearest major road (metres; unit per Table 1/2 distances in meters). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,lnSchool,school_distance,D_location,log,m,0.03,0.008,,,***,,,high,"ln distance to nearest school (metres). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnSchool,school_distance,D_location,log,m,0.04,0.009,,,***,,,high,"ln distance to nearest school (metres). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnSchool,school_distance,D_location,log,m,0.04,0.008,,,***,,,high,"ln distance to nearest school (metres). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,SFHA,flood_risk,E_environment,binary,binary,0.03,0.01,,,*,,,high,"Property inside FEMA special flood hazard area. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,SFHA,flood_risk,E_environment,binary,binary,0.009,0.015,,,,,,high,"Property inside FEMA special flood hazard area. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,SFHA,flood_risk,E_environment,binary,binary,-0.0004,0.015,,,,,,high,"Property inside FEMA special flood hazard area. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,Bltpostfir,other,other,binary,binary,0.06,0.01,,,***,,,high,"House built after community joined the National Flood Insurance Program (built to flood code); no taxonomy leaf. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Bltpostfir,other,other,binary,binary,0.04,0.018,,,**,,,high,"House built after community joined the National Flood Insurance Program (built to flood code); no taxonomy leaf. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Bltpostfir,other,other,binary,binary,0.06,0.018,,,***,,,high,"House built after community joined the National Flood Insurance Program (built to flood code); no taxonomy leaf. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,lnNonwhite,demographics,F_neighbourhood,log,share,-0.09,0.006,,,***,,,high,"ln percent nonwhite at census block group (2010). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnNonwhite,demographics,F_neighbourhood,log,share,-0.0861,0.006,,,***,,,high,"ln percent nonwhite at census block group (2010). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnNonwhite,demographics,F_neighbourhood,log,share,-0.086,0.006,,,***,,,high,"ln percent nonwhite at census block group (2010). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c1,3,1,13,lnIncome,income,F_neighbourhood,log,currency,0.26,0.02,,,***,,,high,"ln median household income at block group (2010 Census, USD). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 1: structural + neighbourhood/location variables; SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnIncome,income,F_neighbourhood,log,currency,0.25,0.019,,,***,,,high,"ln median household income at block group (2010 Census, USD). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnIncome,income,F_neighbourhood,log,currency,0.27,0.0189,,,***,,,high,"ln median household income at block group (2010 Census, USD). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnPark,green_space,E_environment,log,m,-0.09,0.008,,,***,,,high,"ln distance to nearest park (metres). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnPark,green_space,E_environment,log,m,-0.08,0.008,,,***,,,high,"ln distance to nearest park (metres). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,lnMarsh,water_proximity,E_environment,log,m,-0.07,0.005,,,***,,,high,"ln distance to nearest marsh or lake (metres). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,lnMarsh,water_proximity,E_environment,log,m,-0.04,0.006,,,***,,,high,"ln distance to nearest marsh or lake (metres). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c2,3,2,13,Waterview,view,E_environment,binary,binary,0.1,0.02,,,***,,,high,"Property has view (no access) of marsh. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 2: + environmental amenity proximity (park, marsh, water view); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Waterview,view,E_environment,binary,binary,0.17,0.02,,,***,,,high,"Property has view (no access) of marsh. Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Wateraccess,waterfront,C_exterior,binary,binary,0.38,0.06,,,***,,,high,"Property has navigable water access to marsh (no dock). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd,467b5db9559e6802d7f96e2e470749e1440b69fd:T3-c3,3,3,13,Dock,waterfront,C_exterior,binary,binary,0.51,0.03,,,***,,,high,"Presence of a boat dock (water access with dock). Heteroskedasticity-consistent standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1; N=11,011.","lnPrice (sale price, 2011 USD)",log,SAC,11011.0,,se,"Model 3: + marsh accessibility (water access, dock); SARAR (spatial lag + spatial error), inverse-distance weights truncated at 200 m, generalized 2SLS; sale-year dummies included (not extracted)"
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Built between 1946 and 1960,age,A_structural,dummy,years,-0.0775,0.0041,,,***,,,medium,"Construction-period dummy (ref. built before 1946), not age; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Built between 1946 and 1960,age,A_structural,dummy,years,-0.0743,0.0043,,,***,,,medium,"Construction-period dummy (ref. built before 1946), not age; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Built between 1946 and 1960,age,A_structural,dummy,years,-0.0681,0.0043,,,***,,,medium,"Construction-period dummy (ref. built before 1946), not age; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Built between 1946 and 1960,age,A_structural,dummy,years,0.0075,0.0042,,,*,,,medium,"Construction-period dummy (ref. built before 1946), not age; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Built between 1946 and 1960,age,A_structural,dummy,years,0.0074,0.0042,,,*,,,medium,"Construction-period dummy (ref. built before 1946), not age; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Built between 1946 and 1960,age,A_structural,dummy,years,0.0089,0.0043,,,**,,,medium,"Construction-period dummy (ref. built before 1946), not age; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Built between 1961 and 1970,age,A_structural,dummy,years,-0.0651,0.0042,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Built between 1961 and 1970,age,A_structural,dummy,years,-0.0576,0.0043,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Built between 1961 and 1970,age,A_structural,dummy,years,-0.0405,0.0043,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Built between 1961 and 1970,age,A_structural,dummy,years,0.0538,0.0046,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Built between 1961 and 1970,age,A_structural,dummy,years,0.0535,0.0046,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Built between 1961 and 1970,age,A_structural,dummy,years,0.0579,0.0047,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Built between 1971 and 1980,age,A_structural,dummy,years,0.0791,0.0047,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Built between 1971 and 1980,age,A_structural,dummy,years,0.082,0.0044,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Built between 1971 and 1980,age,A_structural,dummy,years,0.0876,0.0045,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Built between 1971 and 1980,age,A_structural,dummy,years,0.0692,0.0053,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Built between 1971 and 1980,age,A_structural,dummy,years,0.0693,0.0053,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Built between 1971 and 1980,age,A_structural,dummy,years,0.0766,0.0054,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Built between 1981 and 1990,age,A_structural,dummy,years,0.2113,0.0056,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Built between 1981 and 1990,age,A_structural,dummy,years,0.2064,0.0051,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Built between 1981 and 1990,age,A_structural,dummy,years,0.207,0.0052,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Built between 1981 and 1990,age,A_structural,dummy,years,0.3006,0.0057,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Built between 1981 and 1990,age,A_structural,dummy,years,0.2994,0.0058,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Built between 1981 and 1990,age,A_structural,dummy,years,0.3011,0.0058,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Built between 1991 and 2000,age,A_structural,dummy,years,0.062,0.0057,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Built between 1991 and 2000,age,A_structural,dummy,years,0.0618,0.0058,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Built between 1991 and 2000,age,A_structural,dummy,years,0.0723,0.0059,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Built between 1991 and 2000,age,A_structural,dummy,years,0.1975,0.0061,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Built between 1991 and 2000,age,A_structural,dummy,years,0.1968,0.0061,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Built between 1991 and 2000,age,A_structural,dummy,years,0.2059,0.0063,,,***,,,medium,"Construction-period dummy (ref. before 1946); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Building was renovated before 1990,renovation,A_structural,binary,binary,0.0234,0.0059,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Building was renovated before 1990,renovation,A_structural,binary,binary,0.0179,0.0062,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Building was renovated before 1990,renovation,A_structural,binary,binary,0.0169,0.0062,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Building was renovated before 1990,renovation,A_structural,binary,binary,0.0096,0.0042,,,**,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Building was renovated before 1990,renovation,A_structural,binary,binary,0.0095,0.0042,,,**,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Building was renovated before 1990,renovation,A_structural,binary,binary,0.0084,0.0041,,,**,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Floor level,floor_level,A_structural,level,count,0.0188,0.0006,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Floor level,floor_level,A_structural,level,count,0.0194,0.0007,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Floor level,floor_level,A_structural,level,count,0.0196,0.0006,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Floor level,floor_level,A_structural,level,count,0.0108,0.0008,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Floor level,floor_level,A_structural,level,count,0.0111,0.0008,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Floor level,floor_level,A_structural,level,count,0.0113,0.0008,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Number of floors in the building,storeys,A_structural,level,count,-0.0058,0.0007,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Number of floors in the building,storeys,A_structural,level,count,-0.0068,0.0007,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Number of floors in the building,storeys,A_structural,level,count,-0.0065,0.0007,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Number of floors in the building,storeys,A_structural,level,count,0.0005,0.0006,,,,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Number of floors in the building,storeys,A_structural,level,count,0.0004,0.0006,,,,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Number of floors in the building,storeys,A_structural,level,count,0.0019,0.0006,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Number of rooms,bedrooms,A_structural,level,count,0.2703,0.0014,,,***,,,medium,"Total number of rooms (Swiss definition), not bedrooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Number of rooms,bedrooms,A_structural,level,count,0.2677,0.0015,,,***,,,medium,"Total number of rooms (Swiss definition), not bedrooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Number of rooms,bedrooms,A_structural,level,count,0.2639,0.0016,,,***,,,medium,"Total number of rooms (Swiss definition), not bedrooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Number of rooms,bedrooms,A_structural,level,count,0.275,0.0016,,,***,,,medium,"Total number of rooms (Swiss definition), not bedrooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Number of rooms,bedrooms,A_structural,level,count,0.2745,0.0016,,,***,,,medium,"Total number of rooms (Swiss definition), not bedrooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Number of rooms,bedrooms,A_structural,level,count,0.2728,0.0016,,,***,,,medium,"Total number of rooms (Swiss definition), not bedrooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,18,Surface per room [m2],living_area,A_structural,other,m2,0.0154,0.0002,,,***,,,medium,"Floor area divided by number of rooms (m2 per room), entered together with number of rooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,18,Surface per room [m2],living_area,A_structural,other,m2,0.0151,0.0003,,,***,,,medium,"Floor area divided by number of rooms (m2 per room), entered together with number of rooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,18,Surface per room [m2],living_area,A_structural,other,m2,0.0143,0.0003,,,***,,,medium,"Floor area divided by number of rooms (m2 per room), entered together with number of rooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,18,Surface per room [m2],living_area,A_structural,other,m2,0.0133,0.0003,,,***,,,medium,"Floor area divided by number of rooms (m2 per room), entered together with number of rooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,18,Surface per room [m2],living_area,A_structural,other,m2,0.0132,0.0003,,,***,,,medium,"Floor area divided by number of rooms (m2 per room), entered together with number of rooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,18,Surface per room [m2],living_area,A_structural,other,m2,0.0129,0.0003,,,***,,,medium,"Floor area divided by number of rooms (m2 per room), entered together with number of rooms; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Surface per inhabitant [m2],other,other,level,m2,0.0003,0.0001,,,***,,,medium,"Floor area per occupant (m2); occupancy measure; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Surface per inhabitant [m2],other,other,level,m2,0.0003,0.0001,,,***,,,medium,"Floor area per occupant (m2); occupancy measure; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Surface per inhabitant [m2],other,other,level,m2,0.0002,0.0001,,,***,,,medium,"Floor area per occupant (m2); occupancy measure; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Surface per inhabitant [m2],other,other,level,m2,0.0005,0.0001,,,***,,,medium,"Floor area per occupant (m2); occupancy measure; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Surface per inhabitant [m2],other,other,level,m2,0.0006,0.0001,,,***,,,medium,"Floor area per occupant (m2); occupancy measure; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Surface per inhabitant [m2],other,other,level,m2,0.0006,0.0001,,,***,,,medium,"Floor area per occupant (m2); occupancy measure; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Kitchenette,kitchen_quality,B_interior,binary,binary,-0.0755,0.0072,,,***,,,medium,"Dummy: kitchenette instead of full kitchen; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Kitchenette,kitchen_quality,B_interior,binary,binary,-0.0792,0.0071,,,***,,,medium,"Dummy: kitchenette instead of full kitchen; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Kitchenette,kitchen_quality,B_interior,binary,binary,-0.0791,0.0071,,,***,,,medium,"Dummy: kitchenette instead of full kitchen; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Kitchenette,kitchen_quality,B_interior,binary,binary,-0.0761,0.0076,,,***,,,medium,"Dummy: kitchenette instead of full kitchen; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Kitchenette,kitchen_quality,B_interior,binary,binary,-0.078,0.0075,,,***,,,medium,"Dummy: kitchenette instead of full kitchen; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Kitchenette,kitchen_quality,B_interior,binary,binary,-0.0872,0.0076,,,***,,,medium,"Dummy: kitchenette instead of full kitchen; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Attic,storage,B_interior,binary,binary,0.0235,0.0073,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Attic,storage,B_interior,binary,binary,0.0228,0.0079,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Attic,storage,B_interior,binary,binary,0.0252,0.0077,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Attic,storage,B_interior,binary,binary,0.0316,0.0061,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Attic,storage,B_interior,binary,binary,0.0313,0.0061,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Attic,storage,B_interior,binary,binary,0.0345,0.0061,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Gas heating,heating,A_structural,binary,binary,0.0169,0.0035,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Gas heating,heating,A_structural,binary,binary,0.0246,0.0037,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Gas heating,heating,A_structural,binary,binary,0.0278,0.0036,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Gas heating,heating,A_structural,binary,binary,0.0485,0.0035,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Gas heating,heating,A_structural,binary,binary,0.0486,0.0035,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Gas heating,heating,A_structural,binary,binary,0.0513,0.0035,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Privately owned building,other,other,binary,binary,0.0627,0.0029,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Privately owned building,other,other,binary,binary,0.0659,0.0029,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Privately owned building,other,other,binary,binary,0.0588,0.0029,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Privately owned building,other,other,binary,binary,0.1182,0.0032,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Privately owned building,other,other,binary,binary,0.1182,0.0032,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Privately owned building,other,other,binary,binary,0.1169,0.0032,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Publicly owned building,other,other,binary,binary,-0.117,0.0057,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Publicly owned building,other,other,binary,binary,-0.1277,0.006,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Publicly owned building,other,other,binary,binary,-0.116,0.0062,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Publicly owned building,other,other,binary,binary,-0.2517,0.0058,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Publicly owned building,other,other,binary,binary,-0.2507,0.0058,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Publicly owned building,other,other,binary,binary,-0.2549,0.0058,,,***,,,medium,"Owner type dummy (ref. institutional owner); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Same tenant for at least 5 years,other,other,binary,binary,-0.1615,0.0027,,,***,,,medium,"Tenancy duration >= 5 years (rent-contract / sitting-tenant discount); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Same tenant for at least 5 years,other,other,binary,binary,-0.1613,0.0027,,,***,,,medium,"Tenancy duration >= 5 years (rent-contract / sitting-tenant discount); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Same tenant for at least 5 years,other,other,binary,binary,-0.1609,0.0026,,,***,,,medium,"Tenancy duration >= 5 years (rent-contract / sitting-tenant discount); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Same tenant for at least 5 years,other,other,binary,binary,-0.1287,0.0029,,,***,,,medium,"Tenancy duration >= 5 years (rent-contract / sitting-tenant discount); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Same tenant for at least 5 years,other,other,binary,binary,-0.1273,0.0029,,,***,,,medium,"Tenancy duration >= 5 years (rent-contract / sitting-tenant discount); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Same tenant for at least 5 years,other,other,binary,binary,-0.127,0.0029,,,***,,,medium,"Tenancy duration >= 5 years (rent-contract / sitting-tenant discount); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Distance to nearest transportation stop [km],transit_distance,D_location,level,km,-0.1021,0.0226,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Distance to nearest transportation stop [km],transit_distance,D_location,level,km,-0.1261,0.0218,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Distance to nearest transportation stop [km],transit_distance,D_location,level,km,-0.1081,0.0223,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Distance to nearest transportation stop [km],transit_distance,D_location,level,km,-0.1521,0.0223,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Distance to nearest transportation stop [km],transit_distance,D_location,level,km,-0.1523,0.0223,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Distance to nearest transportation stop [km],transit_distance,D_location,level,km,-0.0979,0.0219,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Distance to nearest park [km],green_space,E_environment,level,km,0.1,0.0148,,,***,,,medium,"Distance to nearest park (km); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Distance to nearest park [km],green_space,E_environment,level,km,0.1266,0.0143,,,***,,,medium,"Distance to nearest park (km); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Distance to nearest park [km],green_space,E_environment,level,km,0.0064,0.0156,,,,,,medium,"Distance to nearest park (km); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Distance to nearest park [km],green_space,E_environment,level,km,0.0465,0.016,,,***,,,medium,"Distance to nearest park (km); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Distance to nearest park [km],green_space,E_environment,level,km,0.0449,0.016,,,***,,,medium,"Distance to nearest park (km); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Distance to nearest park [km],green_space,E_environment,level,km,0.0026,0.0162,,,,,,medium,"Distance to nearest park (km); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,19,Distance to city centre [km],cbd_distance,D_location,level,km,-0.0117,0.0013,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,19,Distance to city centre [km],cbd_distance,D_location,level,km,-0.0106,0.0012,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,19,Distance to city centre [km],cbd_distance,D_location,level,km,0.0218,0.0036,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,19,Distance to city centre [km],cbd_distance,D_location,level,km,-0.0392,0.0012,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,19,Distance to city centre [km],cbd_distance,D_location,level,km,-0.039,0.0012,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,19,Distance to city centre [km],cbd_distance,D_location,level,km,-0.0416,0.0018,,,***,,,medium,"parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,20,% of parks in the district (x100),green_space,E_environment,other,share,0.366,0.0306,,,***,,,medium,"Share of park area in the district; '(x100)' scaling printed in table (coefficient refers to the rescaled variable); absent from -fix models (district FE); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,20,% of parks in the district (x100),green_space,E_environment,other,share,0.3778,0.0303,,,***,,,medium,"Share of park area in the district; '(x100)' scaling printed in table (coefficient refers to the rescaled variable); absent from -fix models (district FE); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,20,% of parks in the district (x100),green_space,E_environment,other,share,0.3262,0.0258,,,***,,,medium,"Share of park area in the district; '(x100)' scaling printed in table (coefficient refers to the rescaled variable); absent from -fix models (district FE); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,20,% of parks in the district (x100),green_space,E_environment,other,share,0.3259,0.0259,,,***,,,medium,"Share of park area in the district; '(x100)' scaling printed in table (coefficient refers to the rescaled variable); absent from -fix models (district FE); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,20,% of trees in the district (x100),green_space,E_environment,other,share,-0.1668,0.0217,,,***,,,medium,"Share of tree cover in the district; '(x100)' scaling; absent from -fix models; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,20,% of trees in the district (x100),green_space,E_environment,other,share,-0.2104,0.0212,,,***,,,medium,"Share of tree cover in the district; '(x100)' scaling; absent from -fix models; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,20,% of trees in the district (x100),green_space,E_environment,other,share,-0.1134,0.0116,,,***,,,medium,"Share of tree cover in the district; '(x100)' scaling; absent from -fix models; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,20,% of trees in the district (x100),green_space,E_environment,other,share,-0.1132,0.0117,,,***,,,medium,"Share of tree cover in the district; '(x100)' scaling; absent from -fix models; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,20,Population density [per ha] (x100),density,F_neighbourhood,other,per_ha,-0.0258,0.0013,,,***,,,medium,"Inhabitants per hectare, '(x100)' scaling printed (coefficient per 100 inhabitants/ha); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,20,Population density [per ha] (x100),density,F_neighbourhood,other,per_ha,-0.0205,0.0013,,,***,,,medium,"Inhabitants per hectare, '(x100)' scaling printed (coefficient per 100 inhabitants/ha); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,20,Population density [per ha] (x100),density,F_neighbourhood,other,per_ha,-0.0182,0.0014,,,***,,,medium,"Inhabitants per hectare, '(x100)' scaling printed (coefficient per 100 inhabitants/ha); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,20,Population density [per ha] (x100),density,F_neighbourhood,other,per_ha,-0.0298,0.0021,,,***,,,medium,"Inhabitants per hectare, '(x100)' scaling printed (coefficient per 100 inhabitants/ha); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,20,Population density [per ha] (x100),density,F_neighbourhood,other,per_ha,-0.0295,0.0022,,,***,,,medium,"Inhabitants per hectare, '(x100)' scaling printed (coefficient per 100 inhabitants/ha); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,20,Population density [per ha] (x100),density,F_neighbourhood,other,per_ha,-0.023,0.0022,,,***,,,medium,"Inhabitants per hectare, '(x100)' scaling printed (coefficient per 100 inhabitants/ha); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G1,2,Geneva Model 1,20,Daytime noise [dB(A)] (x100),noise,E_environment,other,db,-0.2828,0.0318,,,***,,,medium,"Road traffic noise dB(A), '(x100)' scaling: text says one extra dB lowers rent ~0.3% Geneva / 0.4% Zurich, i.e. printed coefficient/100 per dB; sample restricted to >=55 dB(A); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6285,se,Geneva; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,20,Daytime noise [dB(A)] (x100),noise,E_environment,other,db,-0.1854,0.0318,,,***,,,medium,"Road traffic noise dB(A), '(x100)' scaling: text says one extra dB lowers rent ~0.3% Geneva / 0.4% Zurich, i.e. printed coefficient/100 per dB; sample restricted to >=55 dB(A); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,20,Daytime noise [dB(A)] (x100),noise,E_environment,other,db,-0.2784,0.0332,,,***,,,medium,"Road traffic noise dB(A), '(x100)' scaling: text says one extra dB lowers rent ~0.3% Geneva / 0.4% Zurich, i.e. printed coefficient/100 per dB; sample restricted to >=55 dB(A); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z1,2,Zurich Model 1,20,Daytime noise [dB(A)] (x100),noise,E_environment,other,db,-0.3599,0.0413,,,***,,,medium,"Road traffic noise dB(A), '(x100)' scaling: text says one extra dB lowers rent ~0.3% Geneva / 0.4% Zurich, i.e. printed coefficient/100 per dB; sample restricted to >=55 dB(A); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6689,se,Zurich; Model 1: traditional characteristics only
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,20,Daytime noise [dB(A)] (x100),noise,E_environment,other,db,-0.3591,0.0422,,,***,,,medium,"Road traffic noise dB(A), '(x100)' scaling: text says one extra dB lowers rent ~0.3% Geneva / 0.4% Zurich, i.e. printed coefficient/100 per dB; sample restricted to >=55 dB(A); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,20,Daytime noise [dB(A)] (x100),noise,E_environment,other,db,-0.4062,0.0436,,,***,,,medium,"Road traffic noise dB(A), '(x100)' scaling: text says one extra dB lowers rent ~0.3% Geneva / 0.4% Zurich, i.e. printed coefficient/100 per dB; sample restricted to >=55 dB(A); parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2,2,Geneva Model 2,20,% of foreigners [per ha] (x100),demographics,F_neighbourhood,other,share,-0.2222,0.0118,,,***,,,medium,"Share of foreigners in the hectare, '(x100)' scaling; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6318,se,Geneva; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-G2fix,2,Geneva Model 2-fix,20,% of foreigners [per ha] (x100),demographics,F_neighbourhood,other,share,-0.0899,0.0134,,,***,,,medium,"Share of foreigners in the hectare, '(x100)' scaling; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6417,se,Geneva; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2,2,Zurich Model 2,20,% of foreigners [per ha] (x100),demographics,F_neighbourhood,other,share,-0.0197,0.0107,,,*,,,medium,"Share of foreigners in the hectare, '(x100)' scaling; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6696,se,Zurich; Model 2: + household head nationality + share of foreigners per hectare
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T2-Z2fix,2,Zurich Model 2-fix,20,% of foreigners [per ha] (x100),demographics,F_neighbourhood,other,share,0.0826,0.0118,,,***,,,medium,"Share of foreigners in the hectare, '(x100)' scaling; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6769,se,Zurich; Model 2 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-G3,3,Geneva Model 3,23,% of low education foreigners (x100),demographics,F_neighbourhood,other,share,-0.393,0.0139,,,***,,,medium,"Share of low-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6447,se,Geneva; Model 3: foreigners split by education; dwelling characteristics as Table 2 (not reprinted)
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-G3fix,3,Geneva Model 3-fix,23,% of low education foreigners (x100),demographics,F_neighbourhood,other,share,-0.298,0.0157,,,***,,,medium,"Share of low-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6495,se,Geneva; Model 3 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-Z3,3,Zurich Model 3,23,% of low education foreigners (x100),demographics,F_neighbourhood,other,share,-0.3219,0.0143,,,***,,,medium,"Share of low-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.696,se,Zurich; Model 3: foreigners split by education
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-Z3fix,3,Zurich Model 3-fix,23,% of low education foreigners (x100),demographics,F_neighbourhood,other,share,-0.2534,0.0159,,,***,,,medium,"Share of low-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6998,se,Zurich; Model 3 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-G3,3,Geneva Model 3,23,% of high education foreigners (x100),demographics,F_neighbourhood,other,share,0.4966,0.0241,,,***,,,medium,"Share of high-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6447,se,Geneva; Model 3: foreigners split by education; dwelling characteristics as Table 2 (not reprinted)
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-G3fix,3,Geneva Model 3-fix,23,% of high education foreigners (x100),demographics,F_neighbourhood,other,share,0.4907,0.0245,,,***,,,medium,"Share of high-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,42162.0,0.6495,se,Geneva; Model 3 + district fixed effects
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-Z3,3,Zurich Model 3,23,% of high education foreigners (x100),demographics,F_neighbourhood,other,share,0.9178,0.0258,,,***,,,medium,"Share of high-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.696,se,Zurich; Model 3: foreigners split by education
4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9,4a0a05883004ee538ec38fa812f7d2e81fdd4eb9:T3-Z3fix,3,Zurich Model 3-fix,23,% of high education foreigners (x100),demographics,F_neighbourhood,other,share,0.937,0.0263,,,***,,,medium,"Share of high-education foreigners in the hectare, '(x100)' scaling; Table 3; parentheses unlabelled (star legend only), consistent with standard errors","ln(net monthly rent, 2000, CHF)",log,OLS,26489.0,0.6998,se,Zurich; Model 3 + district fixed effects
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c1,1,1,9,Distance in 1999 (miles) < 0.2,other,other,dummy,miles (distance band dummy),0.044,0.014,,,***,,,high,shortest distance to a cannabis retailer measured in 1999; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distance in 1999; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c1,1,1,9,Distance in 1999 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),0.024,0.011,,,**,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distance in 1999; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c1,1,1,9,Distance in 1999 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),0.015,0.008,,,*,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distance in 1999; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c2,1,2,9,Distance in 2016 (miles) < 0.2,other,other,dummy,miles (distance band dummy),0.057,0.017,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distance in 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c2,1,2,9,Distance in 2016 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),0.035,0.013,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distance in 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c2,1,2,9,Distance in 2016 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),0.027,0.009,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distance in 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c3,1,3,9,Distance in 1999 (miles) < 0.2,other,other,dummy,miles (distance band dummy),-0.036,0.035,,,,,,high,shortest distance to a cannabis retailer measured in 1999; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c3,1,3,9,Distance in 1999 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),-0.039,0.03,,,,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c3,1,3,9,Distance in 1999 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),-0.039,0.019,,,**,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c3,1,3,9,Distance in 2016 (miles) < 0.2,other,other,dummy,miles (distance band dummy),0.09,0.041,,,**,,,high,shortest distance to a cannabis retailer measured in 2016; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c3,1,3,9,Distance in 2016 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),0.071,0.035,,,**,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c3,1,3,9,Distance in 2016 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),0.063,0.021,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,171804.0,,se,"Transactions 1999-2001; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c4,1,4,9,Distance in 1999 (miles) < 0.2,other,other,dummy,miles (distance band dummy),0.056,0.016,,,***,,,high,shortest distance to a cannabis retailer measured in 1999; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distance in 1999; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c4,1,4,9,Distance in 1999 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),0.048,0.011,,,***,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distance in 1999; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c4,1,4,9,Distance in 1999 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),0.032,0.009,,,***,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distance in 1999; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c5,1,5,9,Distance in 2016 (miles) < 0.2,other,other,dummy,miles (distance band dummy),0.067,0.019,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distance in 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c5,1,5,9,Distance in 2016 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),0.06,0.015,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distance in 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c5,1,5,9,Distance in 2016 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),0.046,0.01,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distance in 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c6,1,6,9,Distance in 1999 (miles) < 0.2,other,other,dummy,miles (distance band dummy),-0.03,0.035,,,,,,high,shortest distance to a cannabis retailer measured in 1999; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c6,1,6,9,Distance in 1999 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),-0.032,0.03,,,,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c6,1,6,9,Distance in 1999 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),-0.035,0.02,,,*,,,high,shortest distance to a cannabis retailer measured in 1999; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c6,1,6,9,Distance in 2016 (miles) < 0.2,other,other,dummy,miles (distance band dummy),0.094,0.042,,,**,,,high,shortest distance to a cannabis retailer measured in 2016; band < 0.2 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c6,1,6,9,Distance in 2016 (miles) 0.2-0.4,other,other,dummy,miles (distance band dummy),0.088,0.038,,,**,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.2-0.4 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T1-c6,1,6,9,Distance in 2016 (miles) 0.4-1.0,other,other,dummy,miles (distance band dummy),0.076,0.023,,,***,,,high,shortest distance to a cannabis retailer measured in 2016; band 0.4-1.0 miles vs reference > 1 mile. ,log price per m2,log,OLS,300967.0,,se,"Transactions 2012-2016; regressor = distances in 1999 and 2016; properties within 3.1 miles of a retailer in towns that ever had a retailer within 1 mile; town FE, year dummies, house characteristics"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c1,"3 (top panel, least square)",1,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.016,0.004,,,***,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,199172.0,,se,"Houses with initial distance to retailer < 0.3 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c1,"3 (top panel, least square)",1,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.056,0.009,,,***,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,199172.0,,se,"Houses with initial distance to retailer < 0.3 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c2,"3 (top panel, least square)",2,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.013,0.004,,,***,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,274769.0,,se,"Houses with initial distance to retailer < 0.4 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c2,"3 (top panel, least square)",2,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.034,0.008,,,***,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,274769.0,,se,"Houses with initial distance to retailer < 0.4 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c3,"3 (top panel, least square)",3,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.015,0.004,,,***,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,350269.0,,se,"Houses with initial distance to retailer < 0.5 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c3,"3 (top panel, least square)",3,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.028,0.006,,,***,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,350269.0,,se,"Houses with initial distance to retailer < 0.5 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c4,"3 (top panel, least square)",4,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.016,0.004,,,***,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,422630.0,,se,"Houses with initial distance to retailer < 0.6 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3LS-c4,"3 (top panel, least square)",4,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.024,0.006,,,***,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,FE_panel,422630.0,,se,"Houses with initial distance to retailer < 0.6 miles; six-digit postcode FE, year dummies, year x DTSC, regional GDP, house characteristics; any variation in distance"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c1,"3 (bottom panel, instrumental variable)",1,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.019,0.021,,,,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,122605.0,,se,"Houses with initial distance to retailer < 0.3 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c1,"3 (bottom panel, instrumental variable)",1,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.068,0.029,,,**,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,122605.0,,se,"Houses with initial distance to retailer < 0.3 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c2,"3 (bottom panel, instrumental variable)",2,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.046,0.021,,,**,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,167757.0,,se,"Houses with initial distance to retailer < 0.4 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c2,"3 (bottom panel, instrumental variable)",2,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.06,0.021,,,***,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,167757.0,,se,"Houses with initial distance to retailer < 0.4 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c3,"3 (bottom panel, instrumental variable)",3,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.064,0.022,,,***,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,214215.0,,se,"Houses with initial distance to retailer < 0.5 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c3,"3 (bottom panel, instrumental variable)",3,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.058,0.016,,,***,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,214215.0,,se,"Houses with initial distance to retailer < 0.5 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c4,"3 (bottom panel, instrumental variable)",4,13,Final distance (miles) < 0.3,other,other,dummy,miles (distance band dummy),-0.067,0.023,,,***,,,high,current (final) distance to nearest cannabis retailer < 0.3 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,261261.0,,se,"Houses with initial distance to retailer < 0.6 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51,4a6c4412ae803b09046980401041b08141e48e51:T3IV-c4,"3 (bottom panel, instrumental variable)",4,13,Final distance (miles) > 2.0,other,other,dummy,miles (distance band dummy),-0.047,0.013,,,***,,,high,current (final) distance to nearest cannabis retailer > 2.0 miles vs reference 0.3-2.0 miles; identified from changes in distance over time,log price per m2,log,IV,261261.0,,se,"Houses with initial distance to retailer < 0.6 miles; distance dummies instrumented by policy closures (DTSC, zero-tolerance); excludes closures for other reasons; postcode FE"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,House type: rowhouse,dwelling_type,A_structural,binary,binary,0.381,,,,,,,medium,House type dummy (base category not stated); '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,House type: rowhouse,dwelling_type,A_structural,binary,binary,0.455,,,,,,,medium,House type dummy (base category not stated); '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,House type: attached,dwelling_type,A_structural,binary,binary,-0.082,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,House type: attached,dwelling_type,A_structural,binary,binary,-0.01,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,House type: detached,dwelling_type,A_structural,binary,binary,0.01,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,House type: detached,dwelling_type,A_structural,binary,binary,0.018,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,House type: detached,dwelling_type,A_structural,binary,binary,0.306,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,House type: detached,dwelling_type,A_structural,binary,binary,0.264,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,House type: mixed type,dwelling_type,A_structural,binary,binary,-0.468,,,,*,,,medium,House type dummy (mixed residential/commercial use); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,House type: mixed type,dwelling_type,A_structural,binary,binary,-0.553,,,,*,,,medium,House type dummy (mixed residential/commercial use); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,House type: mixed type,dwelling_type,A_structural,binary,binary,-0.414,,,,,,,medium,House type dummy (mixed residential/commercial use); '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,House type: mixed type,dwelling_type,A_structural,binary,binary,-0.623,,,,*,,,medium,House type dummy (mixed residential/commercial use); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,House type: other,dwelling_type,A_structural,binary,binary,-0.706,,,,*,,,medium,House type dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,House type: other,dwelling_type,A_structural,binary,binary,-0.611,,,,*,,,medium,House type dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,House type: other,dwelling_type,A_structural,binary,binary,0.06,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,House type: other,dwelling_type,A_structural,binary,binary,0.208,,,,,,,medium,House type dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Site area,lot_size,A_structural,level,m2,0.009,,,,*,,,medium,Site (lot) area in m2; Gangjin-gun coefficient rounds to 0.000; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Site area,lot_size,A_structural,level,m2,0.009,,,,*,,,medium,Site (lot) area in m2; Gangjin-gun coefficient rounds to 0.000; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Site area,lot_size,A_structural,level,m2,0.0,,,,*,,,medium,Site (lot) area in m2; Gangjin-gun coefficient rounds to 0.000; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Site area,lot_size,A_structural,level,m2,0.0,,,,*,,,medium,Site (lot) area in m2; Gangjin-gun coefficient rounds to 0.000; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Floor area,living_area,A_structural,level,m2,-0.001,,,,*,,,medium,Total floor area in m2; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Floor area,living_area,A_structural,level,m2,-0.002,,,,*,,,medium,Total floor area in m2; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Floor area,living_area,A_structural,level,m2,0.001,,,,*,,,medium,Total floor area in m2; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Floor area,living_area,A_structural,level,m2,0.001,,,,*,,,medium,Total floor area in m2; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Story,storeys,A_structural,level,count,0.084,,,,*,,,medium,Number of floors; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Story,storeys,A_structural,level,count,0.087,,,,*,,,medium,Number of floors; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Story,storeys,A_structural,level,count,0.319,,,,*,,,medium,Number of floors; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Story,storeys,A_structural,level,count,0.118,,,,,,,medium,Number of floors; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Road: middle,other,other,binary,binary,0.204,,,,*,,,medium,Adjacent road width category (base: main road); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Road: middle,other,other,binary,binary,0.204,,,,*,,,medium,Adjacent road width category (base: main road); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Road: middle,other,other,binary,binary,0.334,,,,,,,medium,Adjacent road width category (base: main road); '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Road: middle,other,other,binary,binary,0.44,,,,,,,medium,Adjacent road width category (base: main road); '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Road: narrow,other,other,binary,binary,0.184,,,,*,,,medium,Adjacent road width category; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Road: narrow,other,other,binary,binary,0.226,,,,*,,,medium,Adjacent road width category; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Road: narrow,other,other,binary,binary,-0.295,,,,,,,medium,Adjacent road width category; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Road: narrow,other,other,binary,binary,-0.022,,,,,,,medium,Adjacent road width category; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Road: narrower,other,other,binary,binary,0.288,,,,*,,,medium,Adjacent road width category; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Road: narrower,other,other,binary,binary,0.314,,,,*,,,medium,Adjacent road width category; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Road: narrower,other,other,binary,binary,-0.696,,,,,,,medium,Adjacent road width category; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Road: narrower,other,other,binary,binary,-0.206,,,,,,,medium,Adjacent road width category; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Road: narrowest,other,other,binary,binary,0.12,,,,,,,medium,Adjacent road width category; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Road: narrowest,other,other,binary,binary,0.177,,,,*,,,medium,Adjacent road width category; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Road: narrowest,other,other,binary,binary,-0.654,,,,,,,medium,Adjacent road width category; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Road: narrowest,other,other,binary,binary,-0.195,,,,,,,medium,Adjacent road width category; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Site shape: regular,other,other,binary,binary,0.144,,,,*,,,medium,Regular (vs irregular) site shape; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Site shape: regular,other,other,binary,binary,0.136,,,,*,,,medium,Regular (vs irregular) site shape; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Site shape: regular,other,other,binary,binary,0.204,,,,*,,,medium,Regular (vs irregular) site shape; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Site shape: regular,other,other,binary,binary,0.108,,,,*,,,medium,Regular (vs irregular) site shape; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Building frame: brick,roof_materials,A_structural,binary,binary,0.246,,,,*,,,medium,Building frame material dummy (base category not stated); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Building frame: brick,roof_materials,A_structural,binary,binary,0.284,,,,*,,,medium,Building frame material dummy (base category not stated); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Building frame: brick,roof_materials,A_structural,binary,binary,0.792,,,,*,,,medium,Building frame material dummy (base category not stated); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Building frame: brick,roof_materials,A_structural,binary,binary,0.734,,,,*,,,medium,Building frame material dummy (base category not stated); * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Building frame: RC,roof_materials,A_structural,binary,binary,0.375,,,,*,,,medium,Reinforced concrete frame; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Building frame: RC,roof_materials,A_structural,binary,binary,0.438,,,,*,,,medium,Reinforced concrete frame; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Building frame: RC,roof_materials,A_structural,binary,binary,1.475,,,,*,,,medium,Reinforced concrete frame; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Building frame: RC,roof_materials,A_structural,binary,binary,1.385,,,,*,,,medium,Reinforced concrete frame; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Building frame: low quality wood,roof_materials,A_structural,binary,binary,0.197,,,,,,,medium,Building frame material dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Building frame: low quality wood,roof_materials,A_structural,binary,binary,0.239,,,,,,,medium,Building frame material dummy; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Building frame: low quality wood,roof_materials,A_structural,binary,binary,0.153,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Building frame: low quality wood,roof_materials,A_structural,binary,binary,0.237,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Building frame: high quality wood,roof_materials,A_structural,binary,binary,1.73,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Building frame: high quality wood,roof_materials,A_structural,binary,binary,1.786,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Building frame: panel,roof_materials,A_structural,binary,binary,0.74,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Building frame: panel,roof_materials,A_structural,binary,binary,0.862,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Building frame: steel,roof_materials,A_structural,binary,binary,1.142,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Building frame: steel,roof_materials,A_structural,binary,binary,1.304,,,,*,,,medium,Building frame material dummy; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,Property age,age,A_structural,level,years,-0.005,,,,*,,,medium,Years since construction; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Property age,age,A_structural,level,years,-0.005,,,,*,,,medium,Years since construction; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,Property age,age,A_structural,level,years,-0.01,,,,*,,,medium,Years since construction; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Property age,age,A_structural,level,years,-0.011,,,,*,,,medium,Years since construction; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c1,A1,1,14,House bearing: south,sunlight,E_environment,binary,binary,-0.063,,,,*,,,medium,1 = house faces south; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.508,none,"Seongdong-gu (Seoul, urban); n=763 benchmark houses in region (80/20 train/test split; estimation sample not stated); baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,House bearing: south,sunlight,E_environment,binary,binary,-0.038,,,,,,,medium,1 = house faces south; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c3,A1,3,14,House bearing: south,sunlight,E_environment,binary,binary,0.021,,,,,,,medium,1 = house faces south; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.633,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; baseline OLS without text embeddings; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,House bearing: south,sunlight,E_environment,binary,binary,0.051,,,,,,,medium,1 = house faces south; '+' = not significant at 5%; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Embedding component 1,multimodal_embedding,H_ai_derived,level,index,-0.265,,,,*,,,medium,First PCA component (22% variance) of 768-dim sentence embedding (paraphrase-mpnet-base-v2) of the house's environmental description; text-derived (AI) variable; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Embedding component 1,multimodal_embedding,H_ai_derived,level,index,-0.393,,,,*,,,medium,First PCA component (22% variance) of 768-dim sentence embedding (paraphrase-mpnet-base-v2) of the house's environmental description; text-derived (AI) variable; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c2,A1,2,14,Embedding component 2,multimodal_embedding,H_ai_derived,level,index,0.592,,,,*,,,medium,Second PCA component (15% variance) of sentence embedding of environmental description; text-derived (AI) variable; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,763.0,0.558,none,"Seongdong-gu (Seoul, urban); n=763 in region; OLS with two PCA components of sentence embeddings (paraphrase-mpnet-base-v2) of environmental descriptions; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164,4c31e259cf5625db8bd0cbbcae78c68fed2c8164:TA1-c4,A1,4,14,Embedding component 2,multimodal_embedding,H_ai_derived,level,index,-0.09,,,,*,,,medium,Second PCA component (15% variance) of sentence embedding of environmental description; text-derived (AI) variable; * significant at 5% level; no SE reported,log-transformed appraised benchmark house price (million KRW),log,OLS,907.0,0.751,none,"Gangjin-gun (Jeonnam, rural); n=907 in region; OLS with two embedding components; adjusted R2; '*' = significant at 5%, '+' = not significant; no SE/t printed; n_obs recorded is the regional sample size, model may be fit on 80% training subset"
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,area,living_area,A_structural,level,m2,-3.596185,,,,,,,medium,"apartment area in m2; GWR mean of local coefficients, min=-7.01288, max=-0.424051; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,floor,floor_level,A_structural,level,count,54.1917,,,,,,,medium,"floor on which the apartment is located; GWR mean of local coefficients, min=-7.27306, max=221.9165; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_public,transit_distance,D_location,level,m,1.27809,,,,,,,medium,"distance to nearest public transport station; GWR mean of local coefficients, min=-0.490508, max=4.15467; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_kinder,school_distance,D_location,level,m,0.558948,,,,,,,medium,"distance to nearest kindergarten; GWR mean of local coefficients, min=-0.91591, max=2.48765; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_elem,school_distance,D_location,level,m,-0.014774,,,,,,,medium,"distance to nearest primary school; GWR mean of local coefficients, min=-2.562863, max=3.054714; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,num_fax,university_distance,D_location,level,count,6.95362,,,,,,,medium,"number of higher-education institutions within 500 m (count, not distance); GWR mean of local coefficients, min=-1404.26, max=206.193; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_shop,commercial_distance,D_location,level,m,-0.084314,,,,,,,medium,"distance to nearest shopping center; GWR mean of local coefficients, min=-1.533588, max=0.841975; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_ind,hazard_site,E_environment,level,m,0.209952,,,,,,,medium,"distance to nearest industrial area; GWR mean of local coefficients, min=-1.073735, max=2.349503; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_health,hospital_distance,D_location,level,m,0.250067,,,,,,,medium,"distance to nearest health center; GWR mean of local coefficients, min=-1.153004, max=2.759074; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_hosp,hospital_distance,D_location,level,m,0.154938,,,,,,,medium,"distance to nearest hospital; GWR mean of local coefficients, min=-0.606382, max=2.718514; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,num_kult,neighbourhood_amenities,F_neighbourhood,level,count,7.15274,,,,,,,medium,"number of cultural institutions within 500 m; GWR mean of local coefficients, min=-111.232, max=176.7045; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,num_sportobj,neighbourhood_amenities,F_neighbourhood,level,count,-11.7921,,,,,,,medium,"number of sports facilities within 500 m; GWR mean of local coefficients, min=-114.2322, max=173.7824; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,num_sportigr,neighbourhood_amenities,F_neighbourhood,level,count,-3.03338,,,,,,,medium,"number of public sports fields within 500 m; GWR mean of local coefficients, min=-277.8436, max=558.92; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_zona,green_space,E_environment,level,m,0.079955,,,,,,,medium,"distance to nearest green or recreational area; GWR mean of local coefficients, min=-5.15309, max=3.65268; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_forest,green_space,E_environment,level,m,0.075858,,,,,,,medium,"distance to nearest (urban) park-forest; GWR mean of local coefficients, min=-3.542074, max=5.27866; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_jarun,green_space,E_environment,level,m,0.972864,,,,,,,medium,"distance to RSC Jarun (recreational sports centre with lake); GWR mean of local coefficients, min=-2.0561, max=8.43639; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_bundek,green_space,E_environment,level,m,0.983093,,,,,,,medium,"distance to SRC Bundek (recreational park with lake); GWR mean of local coefficients, min=-14.3909, max=12.36982; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_bank,water_proximity,E_environment,level,m,-1.035173,,,,,,,medium,"distance to the Sava river embankment; GWR mean of local coefficients, min=-14.45573, max=17.62028; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_maksimir,green_space,E_environment,level,m,0.507891,,,,,,,medium,"distance to Maksimir Park; GWR mean of local coefficients, min=-2.89827, max=5.95143; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520,4d2cf36586abe5a8dcb4cd171a95a31095559520:T2-gwr,2,mean,8,dist_park,green_space,E_environment,level,m,-0.664219,,,,,,,medium,"distance to nearest park in the city centre; GWR mean of local coefficients, min=-4.37027, max=0.91697; no SE/t printed; dep var EUR per m2",asking price per m2 (EUR/m2),per_m2,GWR,2314.0,0.409,none,All apartments; GWR local coefficients summarised as min/mean/max
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c1,8,Cluster 2,10,Floor area,living_area,A_structural,level,m2,0.769,0.154,4.992,0.0,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.497; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,252.0,0.804,none,"submarket cluster 2 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.789); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c1,8,Cluster 2,10,Number of stories,storeys,A_structural,level,count,12.081,2.002,6.035,0.0,,,,high,"total number of storeys of the apartment building; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.417; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,252.0,0.804,none,"submarket cluster 2 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.789); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c2,8,Cluster 3,10,Age,age,A_structural,level,years,1.569,0.752,2.087,0.042,,,,high,"age of the building in years; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.185; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,149.0,0.738,none,"submarket cluster 3 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.692); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c2,8,Cluster 3,10,Floor area,living_area,A_structural,level,m2,0.588,0.194,3.03,0.004,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.482; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,149.0,0.738,none,"submarket cluster 3 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.692); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c2,8,Cluster 3,10,Story,floor_level,A_structural,level,count,16.2,5.945,2.725,0.009,,,,high,"storey on which the unit is located (range -2 to 25); unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.456; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,149.0,0.738,none,"submarket cluster 3 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.692); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c3,8,Cluster 4,10,Floor area,living_area,A_structural,level,m2,0.606,0.105,5.77,0.0,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.44; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,438.0,0.687,none,"submarket cluster 4 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.675); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c3,8,Cluster 4,10,Story,floor_level,A_structural,level,count,6.896,1.713,4.025,0.0,,,,high,"storey on which the unit is located (range -2 to 25); unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.183; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,438.0,0.687,none,"submarket cluster 4 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.675); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c3,8,Cluster 4,10,Number of stories,storeys,A_structural,level,count,7.491,1.668,4.492,0.0,,,,high,"total number of storeys of the apartment building; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.193; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,438.0,0.687,none,"submarket cluster 4 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.675); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c4,8,Cluster 5,10,Floor area,living_area,A_structural,level,m2,0.379,0.092,4.115,0.0,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.352; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,514.0,0.511,none,"submarket cluster 5 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.488); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c4,8,Cluster 5,10,Rooms,bedrooms,A_structural,level,count,13.746,4.15,3.312,0.001,,,,high,"number of rooms (not bedrooms) in the dwelling unit; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.258; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,514.0,0.511,none,"submarket cluster 5 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.488); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c4,8,Cluster 5,10,Stove,heating,A_structural,dummy,binary,-32.285,14.263,-2.264,0.025,,,,high,"dummy =1 if heating is a solid-fuel stove (ref: other heating systems; Boilers dummy dropped for collinearity); unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = -0.112; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,514.0,0.511,none,"submarket cluster 5 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.488); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c4,8,Cluster 5,10,Story,floor_level,A_structural,level,count,3.604,1.184,3.043,0.003,,,,high,"storey on which the unit is located (range -2 to 25); unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.194; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,514.0,0.511,none,"submarket cluster 5 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.488); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c5,8,Cluster 6,10,Floor area,living_area,A_structural,level,m2,1.445,0.54,2.675,0.02,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.698; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,37.0,0.805,none,"submarket cluster 6 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.674); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c6,8,Cluster 7,10,Floor area,living_area,A_structural,level,m2,1.959,0.682,2.874,0.009,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 1.021; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,82.0,0.681,none,"submarket cluster 7 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.553); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c6,8,Cluster 7,10,Number of stories,storeys,A_structural,level,count,25.875,9.241,2.8,0.011,,,,high,"total number of storeys of the apartment building; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.627; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,82.0,0.681,none,"submarket cluster 7 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.553); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c7,8,Cluster 8,10,Central,heating,A_structural,dummy,binary,224.649,64.84,3.465,0.004,,,,high,"dummy =1 if common central heating for the whole block; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.821; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,50.0,0.805,none,"submarket cluster 8 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.699); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c7,8,Cluster 8,10,Bathrooms,bathrooms,A_structural,level,count,110.295,50.079,2.202,0.046,,,,high,"number of bathrooms; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.403; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,50.0,0.805,none,"submarket cluster 8 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.699); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c7,8,Cluster 8,10,Story,floor_level,A_structural,level,count,38.114,15.913,2.395,0.032,,,,high,"storey on which the unit is located (range -2 to 25); unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.85; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,50.0,0.805,none,"submarket cluster 8 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.699); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c8,8,Cluster 9,10,Floor area,living_area,A_structural,level,m2,1.587,0.201,7.889,0.0,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.914; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,206.0,0.651,none,"submarket cluster 9 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.621); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c8,8,Cluster 9,10,Rooms,bedrooms,A_structural,level,count,-25.211,9.581,-2.632,0.01,,,,high,"number of rooms (not bedrooms) in the dwelling unit; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = -0.269; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,206.0,0.651,none,"submarket cluster 9 (neighbourhood cluster from cluster analysis); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.621); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c9,8,Overall,10,Floor area,living_area,A_structural,level,m2,0.777,0.063,12.401,0.0,,,,high,"floor area of the dwelling in m2; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.449; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,1733.0,0.751,none,"overall sample with 8 cluster dummies cls1-cls8 (not extracted); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.746); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c9,8,Overall,10,Central,heating,A_structural,dummy,binary,29.481,7.078,4.165,0.0,,,,high,"dummy =1 if common central heating for the whole block; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.085; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,1733.0,0.751,none,"overall sample with 8 cluster dummies cls1-cls8 (not extracted); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.746); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c9,8,Overall,10,Bathrooms,bathrooms,A_structural,level,count,11.4,4.343,2.625,0.009,,,,high,"number of bathrooms; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.072; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,1733.0,0.751,none,"overall sample with 8 cluster dummies cls1-cls8 (not extracted); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.746); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c9,8,Overall,10,Story,floor_level,A_structural,level,count,5.938,0.943,6.297,0.0,,,,high,"storey on which the unit is located (range -2 to 25); unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.149; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,1733.0,0.751,none,"overall sample with 8 cluster dummies cls1-cls8 (not extracted); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.746); only variables significant at 5% are reported"
4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5,4d32787a617d281fb36974fdcd341ff661cf2fe5:T8-c9,8,Overall,10,Number of stories,storeys,A_structural,level,count,4.493,0.871,5.159,0.0,,,,high,"total number of storeys of the apartment building; unstandardized B with Std. Error, t and Sig. columns; printed standardized Beta = 0.129; dep var in thousands of TL (p printed as 0.000 means <0.0005)","asking price of dwelling unit (,000 TL)",level,OLS,1733.0,0.751,none,"overall sample with 8 cluster dummies cls1-cls8 (not extracted); n_obs = cluster frequency from Table 3 (regression may use fewer complete cases, not reported); r2 = R Square (adjusted R2 = 0.746); only variables significant at 5% are reported"
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T2-c1,2,1,3,RentType (x2),other,other,dummy,binary,-70.768,184.13,-0.384,0.701,,,,high,Rent type: whole apartment vs shared room (coding direction not stated),monthly asking rent (CNY),level,OLS,11128.0,,se,All listings; six regressors incl. district code and community ID
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T4-c1,4,1,4,RentType (x2),other,other,dummy,binary,-68.823,184.037,-0.374,0.708,,,,high,Rent type: whole apartment vs shared room (coding direction not stated),monthly asking rent (CNY),level,OLS,11128.0,0.464,se,All listings; five regressors (community ID dropped)
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T2-c1,2,1,3,Area (x3),living_area,A_structural,level,m2,41.938,0.445,94.142,0.0,**,,,high,Size of the dwelling (or room for shared rentals) in square metres,monthly asking rent (CNY),level,OLS,11128.0,,se,All listings; six regressors incl. district code and community ID
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T4-c1,4,1,4,Area (x3),living_area,A_structural,level,m2,41.947,0.445,94.328,0.0,**,,,high,Size of the dwelling (or room for shared rentals) in square metres,monthly asking rent (CNY),level,OLS,11128.0,0.464,se,All listings; five regressors (community ID dropped)
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T2-c1,2,1,3,BuldFloor (x4),storeys,A_structural,level,count,35.954,3.518,10.221,0.0,**,,,high,Highest floor of the building where the dwelling is located (building height in storeys),monthly asking rent (CNY),level,OLS,11128.0,,se,All listings; six regressors incl. district code and community ID
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T4-c1,4,1,4,BuldFloor (x5),storeys,A_structural,level,count,35.757,3.471,10.3,0.0,**,,,high,Highest floor of the building where the dwelling is located (building height in storeys),monthly asking rent (CNY),level,OLS,11128.0,0.464,se,All listings; five regressors (community ID dropped)
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T2-c1,2,1,3,ElevatorFlag (x5),accessibility,B_interior,dummy,binary,129.228,81.439,1.587,0.113,,,,high,1 if the building has at least one elevator,monthly asking rent (CNY),level,OLS,11128.0,,se,All listings; six regressors incl. district code and community ID
4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1,4e466a17fb2cf5a4adc290cec91b0f1aaedbabd1:T4-c1,4,1,4,ElevatorFlag (x4),accessibility,B_interior,dummy,binary,125.881,80.864,1.557,0.12,,,,high,1 if the building has at least one elevator,monthly asking rent (CNY),level,OLS,11128.0,0.464,se,All listings; five regressors (community ID dropped)
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,PD,density,F_neighbourhood,other,ordinal (valuer perception),0.044,0.001,,,***,,,medium,"City-level population density rating. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Pdev,other,other,other,ordinal (valuer perception),-0.004,0.001,,,***,,,medium,"City population development rating. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,PGR,other,other,other,ordinal (valuer perception),0.039,0.001,,,***,,,medium,"City population growth rating. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,P (logs),other,other,log,count (population),0.035,0.0,,,***,,,medium,Log of total city population (numeric); averaged beta across 4 urban-level models,log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Eco,other,other,other,ordinal (valuer perception),0.035,0.0,,,***,,,medium,"Economic activity in the area. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,UENV,other,other,other,ordinal (valuer perception),0.158,0.004,,,***,,,medium,"Urban environment quality. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Inc,income,F_neighbourhood,other,ordinal (valuer perception),0.054,0.001,,,***,,,medium,"Income level of the city (valuer perception, not monetary). Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Resarea,other,other,other,ordinal,0.092,0.001,,,***,,,medium,"Residence typology of area (first vs secondary homes). Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Con,other,other,other,unknown,0.001,0.0,,,***,,,medium,"Undefined abbreviation in PDF. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,URR,other,other,other,unknown,-0.001,0.0,,,***,,,medium,"Undefined abbreviation in PDF. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qroad,public_services,F_neighbourhood,other,ordinal (valuer perception),0.02,0.003,,,***,,,medium,"Quality of roads. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qw-pipe,public_services,F_neighbourhood,other,ordinal (valuer perception),-0.634,0.001,,,***,,,medium,"Quality of water pipes/supply. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qlig,public_services,F_neighbourhood,other,ordinal (valuer perception),-0.009,0.002,,,***,,,medium,"Quality of street lighting. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qsh,commercial_distance,D_location,other,ordinal (valuer perception),0.006,0.001,,,***,,,medium,"Quality of shops (city level). Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qschool,school_quality,F_neighbourhood,other,ordinal (valuer perception),0.012,0.002,,,***,,,medium,"Quality of schools. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qchurch,neighbourhood_amenities,F_neighbourhood,other,ordinal (valuer perception),0.049,0.002,,,***,,,medium,"Quality/presence of churches. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qleis,neighbourhood_amenities,F_neighbourhood,other,ordinal (valuer perception),0.08,0.001,,,***,,,medium,"Quality of leisure amenities. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qhealth,hospital_distance,D_location,other,ordinal (valuer perception),-0.113,0.001,,,***,,,medium,"Quality of health facilities (rating, not distance). Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Bus,transit_distance,D_location,other,ordinal (accessibility rating),0.007,0.0,,,***,,,medium,"Bus accessibility rating. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Train,transit_distance,D_location,other,ordinal (accessibility rating),-0.002,0.001,,,***,,,medium,"Train accessibility rating. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Und-Tram,transit_distance,D_location,other,ordinal (accessibility rating),0.029,0.0,,,***,,,medium,"Underground/tram accessibility rating. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,TB,dwelling_type,A_structural,other,categorical,0.101,0.001,,,***,,,medium,"Type of building (categorical). Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,dwel,other,other,level,count,-0.001,0.0,,,***,,,medium,"Number of dwellings (in building), definition in Table S1; averaged beta",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,lift,accessibility,B_interior,level,count,0.058,0.001,,,***,,,medium,Number of lifts (text: 'number of lifts'); averaged beta,log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,age,age,A_structural,level,years,-0.008,0.0,,,***,,,medium,"Age of the dwelling (years, assumed level); averaged beta",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Qshop_n,commercial_distance,D_location,other,ordinal (valuer perception),0.118,0.0,,,***,,,medium,"Quality of shops in the neighbourhood. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Inc_t,income,F_neighbourhood,other,ordinal (valuer perception),0.096,0.001,,,***,,,medium,"Neighbourhood income level (valuer perception, not monetary). Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,PD_t,density,F_neighbourhood,other,ordinal (valuer perception),-0.02,0.001,,,***,,,medium,"Neighbourhood population density rating. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Ori,sunlight,E_environment,other,categorical,0.003,0.0,,,***,,,medium,"Orientation of the dwelling. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,Vi,view,E_environment,other,categorical,0.019,0.001,,,***,,,medium,"View. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,ConQ,condition,A_structural,other,ordinal,0.033,0.001,,,***,,,medium,"Quality of construction. Categorical valuer-perception variable (definition in supplementary Table S1, unit unknown); averaged beta across 4 urban-level models",log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,m2 (log),living_area,A_structural,log,m2,0.811,0.001,,,***,,,medium,Log of dwelling surface in m2; averaged beta,log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36,4e94c698b9b6217c36e2e8842148142f5bccfb36:T2-c1,2,"1 (b, unstandardized)",9,m2_O (log),other,other,log,m2,0.034,0.0,,,***,,,medium,Log of additional/other surface area (m2); averaged beta,log of asking price,log,OLS,596170.0,0.768,se,"Average of four urban-level HI model betas, Alicante province, 2010 (4 quarters); Adj R2 0.768; SE column is an average of model SEs"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,Terrace,dwelling_type,A_structural,binary,binary,-0.063,0.015,,0.0,,,,high,terrace house vs semi-detached (reference),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,offroad,parking,A_structural,binary,binary,0.011,0.02,,0.585,,,,high,off-road parking vs on-road,"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,FVista2,view,E_environment,binary,binary,0.045,0.039,,0.253,,,,high,front vista = field (ref: houses),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,FVista3,view,E_environment,binary,binary,-0.132,0.075,,0.079,,,,high,front vista = countryside (ref: houses),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,RVista2,view,E_environment,binary,binary,0.069,0.051,,0.175,,,,high,rear vista = field (ref: houses),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,RVista3,view,E_environment,binary,binary,-0.004,0.036,,0.91,,,,high,rear vista = countryside (ref: houses),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,RVista4,view,E_environment,binary,binary,0.041,0.038,,0.281,,,,high,rear vista = sea (ref: houses),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,fWF1,hazard_site,E_environment,binary,binary,-0.024,0.065,,0.714,,,,high,partial/full view of 1 wind turbine from front of house (ref: no view),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,fWF3,hazard_site,E_environment,binary,binary,-0.007,0.032,,0.813,,,,high,view of up to 2 turbines from front of house (ref: no view),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,FscreenV,hazard_site,E_environment,binary,binary,0.1,0.046,,0.033,,,,high,screened view of wind farm from front,"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,FsideV,hazard_site,E_environment,binary,binary,0.16,0.04,,0.0,,,,high,side view of wind farm from front,"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,RfacingV,hazard_site,E_environment,binary,binary,-0.042,0.035,,0.233,,,,high,facing view of wind farm from rear of house,"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,newH,age,A_structural,dummy,binary,-0.015,0.026,,0.56,,,,high,new-build dummy (not age in years),"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,Bed3&4,bedrooms,A_structural,dummy,binary,0.055,0.043,,0.204,,,,high,dummy for 3- or 4-bedroom house vs 2-bedroom; VIF 13.9,"ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T5-c1,5,1,13,DistMetre,hazard_site,E_environment,level,m,0.0,,,0.559,,,,low,"Distance to wind farm in metres; B and Std. Error both printed as .000 (rounded to 3 dp), standardized beta .019; unusable magnitude","ln(house price, GBP)",log,OLS,199.0,,se,"All independent variables (model with multicollinearity, VIF>10 for Bed3&4 and location dummies)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,Terrace,dwelling_type,A_structural,binary,binary,-0.073,0.017,,0.0,,,,high,terrace vs semi-detached,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,offroad,parking,A_structural,binary,binary,0.013,0.02,,0.523,,,,high,off-road parking vs on-road,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,FVista2,view,E_environment,binary,binary,0.04,0.038,,0.295,,,,high,front vista = field,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,FVista3,view,E_environment,binary,binary,-0.038,0.08,,0.636,,,,high,front vista = countryside,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,RVista2,view,E_environment,binary,binary,0.024,0.055,,0.663,,,,high,rear vista = field,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,RVista3,view,E_environment,binary,binary,-0.011,0.035,,0.749,,,,high,rear vista = countryside,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,RVista4,view,E_environment,binary,binary,0.022,0.036,,0.551,,,,high,rear vista = sea,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,fWF1,hazard_site,E_environment,binary,binary,-0.026,0.061,,0.675,,,,high,partial/full view of 1 wind turbine from front (ref: no view),"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,FscreenV,hazard_site,E_environment,binary,binary,0.1,0.041,,0.016,,,,high,screened view of wind farm from front,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,FsideV,hazard_site,E_environment,binary,binary,0.261,0.063,,0.0,,,,high,side view of wind farm from front,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,FfacingV,hazard_site,E_environment,binary,binary,0.013,0.031,,0.685,,,,high,facing view of wind farm from front,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,RfacingV,hazard_site,E_environment,binary,binary,-0.074,0.036,,0.041,,,,high,facing view of wind farm from rear,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,newH,age,A_structural,dummy,binary,-0.021,0.024,,0.394,,,,high,new-build dummy (not age in years),"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,Bed3,bedrooms,A_structural,dummy,binary,0.012,0.028,,0.684,,,,high,dummy for 3-bedroom house vs 2-bedroom,"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,DistMetre,hazard_site,E_environment,level,m,7.426e-05,,,0.707,,,,medium,"Distance to wind farm in metres; Std. Error printed as .000 (rounded), standardized beta .012","ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,trsviewint,hazard_site,E_environment,other,binary,0.086,0.037,,0.021,,,,high,Interaction terrace x RfacingV (facing view of wind farm from rear),"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566,4f4475636117754066fcc0578aecfcf69e646566:T6-c1,6,1,14,sidrfint,hazard_site,E_environment,other,binary,-0.113,0.07,,0.108,,,,high,Interaction FsideV x FfacingV (side and front-facing views of wind farm),"ln(house price, GBP)",log,OLS,199.0,0.975,se,"Model after removing medlocation and adding interactions (R2 0.975 from Table 7, adj. R2 0.971)"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Living area,living_area,A_structural,level,1000 sqft,0.212,0.029,,,***,,,high,Living area in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Living area,living_area,A_structural,level,1000 sqft,0.214,0.029,,,***,,,high,Living area in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Living area,living_area,A_structural,level,1000 sqft,0.215,0.029,,,***,,,high,Living area in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Living area,living_area,A_structural,level,1000 sqft,0.214,0.029,,,***,,,high,Living area in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Lot size,lot_size,A_structural,level,1000 sqft,0.006,0.001,,,***,,,high,Lot size in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Lot size,lot_size,A_structural,level,1000 sqft,0.004,0.002,,,**,,,high,Lot size in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Lot size,lot_size,A_structural,level,1000 sqft,0.004,0.002,,,**,,,high,Lot size in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Lot size,lot_size,A_structural,level,1000 sqft,0.004,0.002,,,**,,,high,Lot size in 1000 ft2,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Baths,bathrooms,A_structural,level,count,0.069,0.014,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Baths,bathrooms,A_structural,level,count,0.07,0.014,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Baths,bathrooms,A_structural,level,count,0.068,0.014,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Baths,bathrooms,A_structural,level,count,0.068,0.014,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Bedrooms,bedrooms,A_structural,level,count,0.01,0.012,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Bedrooms,bedrooms,A_structural,level,count,0.008,0.012,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Bedrooms,bedrooms,A_structural,level,count,0.01,0.012,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Bedrooms,bedrooms,A_structural,level,count,0.008,0.012,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Age,age,A_structural,level,years,-0.002,0.0004,,,***,,,high,"Home age at sale, years","ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Age,age,A_structural,level,years,-0.002,0.0004,,,***,,,high,"Home age at sale, years","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Age,age,A_structural,level,years,-0.002,0.0004,,,***,,,high,"Home age at sale, years","ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Age,age,A_structural,level,years,-0.002,0.0004,,,***,,,high,"Home age at sale, years","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Stories,storeys,A_structural,level,count,0.082,0.029,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Stories,storeys,A_structural,level,count,0.084,0.029,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Stories,storeys,A_structural,level,count,0.081,0.029,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Stories,storeys,A_structural,level,count,0.083,0.029,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Air conditioning,air_conditioning,A_structural,binary,binary,0.105,0.015,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Air conditioning,air_conditioning,A_structural,binary,binary,0.106,0.015,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Air conditioning,air_conditioning,A_structural,binary,binary,0.105,0.015,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Air conditioning,air_conditioning,A_structural,binary,binary,0.105,0.015,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Fireplace,fireplace,B_interior,binary,binary,0.092,0.016,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Fireplace,fireplace,B_interior,binary,binary,0.089,0.016,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Fireplace,fireplace,B_interior,binary,binary,0.091,0.016,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Fireplace,fireplace,B_interior,binary,binary,0.092,0.016,,,***,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Pool,pool,C_exterior,binary,binary,0.014,0.052,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Pool,pool,C_exterior,binary,binary,0.007,0.052,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Pool,pool,C_exterior,binary,binary,0.013,0.052,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Pool,pool,C_exterior,binary,binary,0.011,0.052,,,,,,high,,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Basement area,basement,A_structural,level,1000 sqft,0.125,0.037,,,***,,,high,"Basement area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Basement area,basement,A_structural,level,1000 sqft,0.131,0.037,,,***,,,high,"Basement area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Basement area,basement,A_structural,level,1000 sqft,0.124,0.036,,,***,,,high,"Basement area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Basement area,basement,A_structural,level,1000 sqft,0.127,0.036,,,***,,,high,"Basement area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Garage parking area,garage,A_structural,level,1000 sqft,0.329,0.049,,,***,,,high,"Garage area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Garage parking area,garage,A_structural,level,1000 sqft,0.323,0.049,,,***,,,high,"Garage area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Garage parking area,garage,A_structural,level,1000 sqft,0.325,0.049,,,***,,,high,"Garage area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Garage parking area,garage,A_structural,level,1000 sqft,0.324,0.049,,,***,,,high,"Garage area in 1000 ft2 (continuous, not a dummy)","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Distance to highway,highway_distance,D_location,level,km,0.041,0.014,,,***,,,high,Linear term of a quadratic in distance to highway (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Distance to highway,highway_distance,D_location,level,km,0.043,0.014,,,***,,,high,Linear term of a quadratic in distance to highway (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Distance to highway,highway_distance,D_location,level,km,0.044,0.014,,,***,,,high,Linear term of a quadratic in distance to highway (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Distance to highway,highway_distance,D_location,level,km,0.043,0.014,,,***,,,high,Linear term of a quadratic in distance to highway (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Square Distance to highway,highway_distance,D_location,squared,km,-0.007,0.002,,,***,,,high,Quadratic term of distance to highway (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Square Distance to highway,highway_distance,D_location,squared,km,-0.007,0.002,,,***,,,high,Quadratic term of distance to highway (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Square Distance to highway,highway_distance,D_location,squared,km,-0.007,0.002,,,***,,,high,Quadratic term of distance to highway (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Square Distance to highway,highway_distance,D_location,squared,km,-0.007,0.002,,,***,,,high,Quadratic term of distance to highway (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Distance to Railway,other,other,level,km,-0.036,0.011,,,***,,,high,"Distance to railway (rail line, nuisance proxy; not a transit station); linear term of quadratic","ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Distance to Railway,other,other,level,km,-0.034,0.011,,,***,,,high,"Distance to railway (rail line, nuisance proxy; not a transit station); linear term of quadratic","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Distance to Railway,other,other,level,km,-0.032,0.011,,,***,,,high,"Distance to railway (rail line, nuisance proxy; not a transit station); linear term of quadratic","ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Distance to Railway,other,other,level,km,-0.03,0.011,,,***,,,high,"Distance to railway (rail line, nuisance proxy; not a transit station); linear term of quadratic","ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Square Distance to Railway,other,other,squared,km,0.003,0.001,,,***,,,high,Distance to railway squared (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Square Distance to Railway,other,other,squared,km,0.003,0.001,,,***,,,high,Distance to railway squared (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Square Distance to Railway,other,other,squared,km,0.003,0.001,,,***,,,high,Distance to railway squared (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Square Distance to Railway,other,other,squared,km,0.003,0.001,,,***,,,high,Distance to railway squared (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Distance to Airport,airport_distance,D_location,level,km,-0.03,0.006,,,***,,,high,Linear term of a quadratic in distance to airport (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Distance to Airport,airport_distance,D_location,level,km,-0.03,0.006,,,***,,,high,Linear term of a quadratic in distance to airport (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Distance to Airport,airport_distance,D_location,level,km,-0.028,0.006,,,***,,,high,Linear term of a quadratic in distance to airport (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Distance to Airport,airport_distance,D_location,level,km,-0.028,0.006,,,***,,,high,Linear term of a quadratic in distance to airport (km),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Square Distance to Airport,airport_distance,D_location,squared,km,0.001,0.0002,,,***,,,high,Quadratic term of distance to airport (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Square Distance to Airport,airport_distance,D_location,squared,km,0.001,0.0002,,,***,,,high,Quadratic term of distance to airport (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Square Distance to Airport,airport_distance,D_location,squared,km,0.001,0.0002,,,***,,,high,Quadratic term of distance to airport (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Square Distance to Airport,airport_distance,D_location,squared,km,0.001,0.0002,,,***,,,high,Quadratic term of distance to airport (km^2),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Water,water_proximity,E_environment,level,share,0.151,0.322,,,,,,high,Share of land covered by water within 1 km buffer of parcel (share 0-1 per Table 1 means given in %); not a distance,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Water,water_proximity,E_environment,level,share,0.132,0.321,,,,,,high,Share of land covered by water within 1 km buffer of parcel (share 0-1 per Table 1 means given in %); not a distance,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Water,water_proximity,E_environment,level,share,0.059,0.323,,,,,,high,Share of land covered by water within 1 km buffer of parcel (share 0-1 per Table 1 means given in %); not a distance,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Water,water_proximity,E_environment,level,share,-0.009,0.326,,,,,,high,Share of land covered by water within 1 km buffer of parcel (share 0-1 per Table 1 means given in %); not a distance,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Trees/Forest,green_space,E_environment,level,share,1.664,0.206,,,***,,,high,Share of land covered by trees/forest within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Trees/Forest,green_space,E_environment,level,share,1.514,0.211,,,***,,,high,Share of land covered by trees/forest within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Trees/Forest,green_space,E_environment,level,share,1.437,0.225,,,***,,,high,Share of land covered by trees/forest within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Trees/Forest,green_space,E_environment,level,share,1.429,0.22,,,***,,,high,Share of land covered by trees/forest within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Grass/herbaceous plants,green_space,E_environment,level,share,0.517,0.194,,,***,,,high,Share of land covered by grass/herbaceous plants within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Grass/herbaceous plants,green_space,E_environment,level,share,0.461,0.194,,,**,,,high,Share of land covered by grass/herbaceous plants within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Grass/herbaceous plants,green_space,E_environment,level,share,0.44,0.196,,,**,,,high,Share of land covered by grass/herbaceous plants within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Grass/herbaceous plants,green_space,E_environment,level,share,0.454,0.195,,,**,,,high,Share of land covered by grass/herbaceous plants within 1 km buffer of parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c1,3,Parcel,10,Ash,landscaping,C_exterior,binary,binary,0.005,0.015,,,,,,high,Ash_parcel: 1 if ash trees on the sales parcel,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7558,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Parcel; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c2,3,Buffer 0.1 km,10,Ash,green_space,E_environment,level,share,0.165,0.056,,,***,,,high,Ash_buffer0.1: share of properties within 0.1 km buffer that have ash trees (one percentage point = 0.01),"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c3,3,Buffer 0.5 km,10,Ash,green_space,E_environment,level,share,0.757,0.095,,,**,,,high,Ash_buffer0.5: share of properties within 0.5 km buffer that have ash trees,"ln(sale price), 2005 USD",log,OLS,1710.0,0.7567,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 0.5 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T3-c4,3,Buffer 1 km,10,Ash,green_space,E_environment,level,share,0.38,0.129,,,***,,,high,Ash_buffer1.0: share of properties within 1 km buffer that have ash trees,"ln(sale price), 2005 USD",log,OLS,1710.0,0.757,se,"Model 1, home sales 2008-2011 (pre-EAB), ash variable measured at Buffer 1 km; year-of-sale and zip-code fixed effects; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T4-c1,4,Parcel,11,EAB,other,other,level,count,0.0006,0.054,,,,,,high,"EAB_parcel: number of EAB-infested ash trees on the parcel (forest pest infestation, variable of interest)","ln(sale price), 2005 USD",log,OLS,2792.0,0.7737,se,"Model 2, home sales 2012-2015 (post-EAB), EAB variable at Parcel; same structural/location controls as Model 1 but only the EAB coefficient is printed; year and zip-code FE; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T4-c2,4,Buffer 0.1 km,11,EAB,other,other,level,count,0.0055,0.006,,,,,,high,"EAB_buffer0.1: number of EAB-infested ash trees within 0.1 km (forest pest infestation, variable of interest)","ln(sale price), 2005 USD",log,OLS,2792.0,0.7738,se,"Model 2, home sales 2012-2015 (post-EAB), EAB variable at Buffer 0.1 km; same structural/location controls as Model 1 but only the EAB coefficient is printed; year and zip-code FE; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T4-c3,4,Buffer 0.5 km,11,EAB,other,other,level,count,-0.0005,0.0005,,,,,,high,"EAB_buffer0.5: number within 0.5 km (forest pest infestation, variable of interest)","ln(sale price), 2005 USD",log,OLS,2792.0,0.7738,se,"Model 2, home sales 2012-2015 (post-EAB), EAB variable at Buffer 0.5 km; same structural/location controls as Model 1 but only the EAB coefficient is printed; year and zip-code FE; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T4-c4,4,Buffer 1 km,11,EAB,other,other,level,count,-0.0006,0.0002,,,***,,,high,"EAB_buffer1.0: number within 1 km (forest pest infestation, variable of interest)","ln(sale price), 2005 USD",log,OLS,2792.0,0.7742,se,"Model 2, home sales 2012-2015 (post-EAB), EAB variable at Buffer 1 km; same structural/location controls as Model 1 but only the EAB coefficient is printed; year and zip-code FE; adjusted R2"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c1,5,Parcel,12,Ash,landscaping,C_exterior,binary,binary,0.007,0.016,,,,,,high,Ash_parcel: 1 if ash trees on the sales parcel,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7647,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Parcel; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c2,5,Buffer 0.1 km,12,Ash,green_space,E_environment,level,share,0.183,0.049,,,***,,,high,Ash_buffer0.1: share of properties within 0.1 km buffer that have ash trees (one percentage point = 0.01),"ln(sale price), 2005 USD",log,OLS,4502.0,0.7657,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 0.1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c3,5,Buffer 0.5 km,12,Ash,green_space,E_environment,level,share,0.298,0.075,,,***,,,high,Ash_buffer0.5: share of properties within 0.5 km buffer that have ash trees,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7658,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 0.5 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c4,5,Buffer 1 km,12,Ash,green_space,E_environment,level,share,0.393,0.101,,,***,,,high,Ash_buffer1.0: share of properties within 1 km buffer that have ash trees,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7657,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c1,5,Parcel,12,Ash*Post,landscaping,C_exterior,other,binary,-0.002,0.02,,,,,,high,Interaction: Ash_parcel x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7647,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Parcel; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c2,5,Buffer 0.1 km,12,Ash*Post,green_space,E_environment,other,share,-0.066,0.056,,,,,,high,Interaction: Ash_buffer0.1 x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7657,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 0.1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c3,5,Buffer 0.5 km,12,Ash*Post,green_space,E_environment,other,share,-0.102,0.077,,,,,,high,Interaction: Ash_buffer0.5 x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7658,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 0.5 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c4,5,Buffer 1 km,12,Ash*Post,green_space,E_environment,other,share,-0.204,0.098,,,**,,,high,Interaction: Ash_buffer1.0 x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7657,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c1,5,Parcel,12,Ash*Outbreak,landscaping,C_exterior,other,binary,-0.021,0.028,,,,,,high,Interaction: Ash_parcel x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7647,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Parcel; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c2,5,Buffer 0.1 km,12,Ash*Outbreak,green_space,E_environment,other,share,-0.066,0.048,,,,,,high,Interaction: Ash_buffer0.1 x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7657,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 0.1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c3,5,Buffer 0.5 km,12,Ash*Outbreak,green_space,E_environment,other,share,-0.093,0.051,,,*,,,high,Interaction: Ash_buffer0.5 x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7658,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 0.5 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T5-c4,5,Buffer 1 km,12,Ash*Outbreak,green_space,E_environment,other,share,-0.095,0.054,,,*,,,high,Interaction: Ash_buffer1.0 x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7657,se,"Model 3 difference-in-differences, home sales 2008-2015, ash variable at Buffer 1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c1,6,Parcel,12,Ash,landscaping,C_exterior,binary,binary,0.007,0.016,,,,,,high,Ash_parcel: 1 if ash trees on the sales parcel,"ln(sale price), 2005 USD",log,OLS,4502.0,0.765,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Parcel; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c2,6,Buffer 0.1 km,12,Ash,green_space,E_environment,level,share,0.182,0.049,,,***,,,high,Ash_buffer0.1: share of properties within 0.1 km buffer that have ash trees (one percentage point = 0.01),"ln(sale price), 2005 USD",log,OLS,4502.0,0.7659,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c3,6,Buffer 0.5 km,12,Ash,green_space,E_environment,level,share,0.301,0.075,,,***,,,high,Ash_buffer0.5: share of properties within 0.5 km buffer that have ash trees,"ln(sale price), 2005 USD",log,OLS,4502.0,0.766,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.5 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c4,6,Buffer 1 km,12,Ash,green_space,E_environment,level,share,0.393,0.101,,,***,,,high,Ash_buffer1.0: share of properties within 1 km buffer that have ash trees,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7658,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c1,6,Parcel,12,Ash*Post,landscaping,C_exterior,other,binary,-0.005,0.02,,,,,,high,Interaction: Ash_parcel x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival; SE printed with a stray leading minus sign '−(...)',"ln(sale price), 2005 USD",log,OLS,4502.0,0.765,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Parcel; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c2,6,Buffer 0.1 km,12,Ash*Post,green_space,E_environment,other,share,-0.07,0.056,,,,,,high,Interaction: Ash_buffer0.1 x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival; SE printed with a stray leading minus sign '−(...)',"ln(sale price), 2005 USD",log,OLS,4502.0,0.7659,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c3,6,Buffer 0.5 km,12,Ash*Post,green_space,E_environment,other,share,-0.104,0.077,,,,,,high,Interaction: Ash_buffer0.5 x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival; SE printed with a stray leading minus sign '−(...)',"ln(sale price), 2005 USD",log,OLS,4502.0,0.766,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.5 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c4,6,Buffer 1 km,12,Ash*Post,green_space,E_environment,other,share,-0.21,0.098,,,**,,,high,Interaction: Ash_buffer1.0 x post (sale after 2011) dummy; change in ash capitalisation after EAB arrival; SE printed with a stray leading minus sign '−(...)',"ln(sale price), 2005 USD",log,OLS,4502.0,0.7658,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c1,6,Parcel,12,Ash*Outbreak,landscaping,C_exterior,other,binary,0.001,0.029,,,,,,high,Interaction: Ash_parcel x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.765,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Parcel; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c2,6,Buffer 0.1 km,12,Ash*Outbreak,green_space,E_environment,other,share,-0.011,0.054,,,,,,high,Interaction: Ash_buffer0.1 x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7659,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c3,6,Buffer 0.5 km,12,Ash*Outbreak,green_space,E_environment,other,share,-0.033,0.058,,,,,,high,Interaction: Ash_buffer0.5 x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.766,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.5 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c4,6,Buffer 1 km,12,Ash*Outbreak,green_space,E_environment,other,share,-0.044,0.06,,,,,,high,Interaction: Ash_buffer1.0 x outbreak (EAB-infested tree within 1 km) dummy,"ln(sale price), 2005 USD",log,OLS,4502.0,0.7658,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c1,6,Parcel,12,EAB_Buffer3,other,other,level,count,-0.001,0.0002,,,***,,,high,EAB_buffer1.0: number of EAB-infested ash trees within 1 km buffer (severity of outbreak),"ln(sale price), 2005 USD",log,OLS,4502.0,0.765,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Parcel; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c2,6,Buffer 0.1 km,12,EAB_Buffer3,other,other,level,count,-0.001,0.0003,,,**,,,high,EAB_buffer1.0: number of EAB-infested ash trees within 1 km buffer (severity of outbreak),"ln(sale price), 2005 USD",log,OLS,4502.0,0.7659,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c3,6,Buffer 0.5 km,12,EAB_Buffer3,other,other,level,count,-0.001,0.0003,,,**,,,high,EAB_buffer1.0: number of EAB-infested ash trees within 1 km buffer (severity of outbreak),"ln(sale price), 2005 USD",log,OLS,4502.0,0.766,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 0.5 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a,51b11fac87d973139852a88a8c12a9cdbf87b57a:T6-c4,6,Buffer 1 km,12,EAB_Buffer3,other,other,level,count,-0.001,0.0003,,,*,,,high,EAB_buffer1.0: number of EAB-infested ash trees within 1 km buffer (severity of outbreak),"ln(sale price), 2005 USD",log,OLS,4502.0,0.7658,se,"Model 4 (Model 3 plus EAB severity within 1 km), home sales 2008-2015, ash variable at Buffer 1 km; only ash/EAB coefficients printed (controls as Model 1); year and zip-code FE; adjusted R2; 'Sum 1'/'Sum 2' linear combinations not extracted"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,AREA,living_area,A_structural,level,ping (1 ping = 3.306 m2),0.023,0.001,,,***,,,high,building transfer area,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,AREA,living_area,A_structural,level,ping (1 ping = 3.306 m2),0.022,0.001,,,***,,,high,building transfer area,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,AREA,living_area,A_structural,level,ping (1 ping = 3.306 m2),0.022,0.001,,,***,,,high,building transfer area,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,AREA,living_area,A_structural,level,ping (1 ping = 3.306 m2),0.018,0.001,,,***,,,high,building transfer area,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,AREA,living_area,A_structural,level,ping (1 ping = 3.306 m2),0.017,0.001,,,***,,,high,building transfer area,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,AREA,living_area,A_structural,level,ping (1 ping = 3.306 m2),0.017,0.001,,,***,,,high,building transfer area,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,AGE,age,A_structural,level,years,-0.013,0.001,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,AGE,age,A_structural,level,years,-0.013,0.001,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,AGE,age,A_structural,level,years,-0.013,0.001,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,AGE,age,A_structural,level,years,-0.004,0.001,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,AGE,age,A_structural,level,years,-0.004,0.001,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,AGE,age,A_structural,level,years,-0.004,0.001,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,AGES,age,A_structural,squared,years squared,0.001,0.001,,,***,,,medium,square of house age,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,AGES,age,A_structural,squared,years squared,0.001,0.001,,,***,,,medium,square of house age,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,AGES,age,A_structural,squared,years squared,0.001,0.001,,,***,,,medium,square of house age,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,AGES,age,A_structural,squared,years squared,0.001,0.001,,,***,,,medium,square of house age,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,AGES,age,A_structural,squared,years squared,0.001,0.001,,,***,,,medium,square of house age,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,AGES,age,A_structural,squared,years squared,0.001,0.001,,,***,,,medium,square of house age,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,FLOOR,floor_level,A_structural,dummy,binary (first floor = 1 vs other floors),0.124,0.021,,,***,,,high,residence on 1st floor,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,FLOOR,floor_level,A_structural,dummy,binary (first floor = 1 vs other floors),0.126,0.02,,,***,,,high,residence on 1st floor,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,FLOOR,floor_level,A_structural,dummy,binary (first floor = 1 vs other floors),0.129,0.02,,,***,,,high,residence on 1st floor,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,FLOOR,floor_level,A_structural,dummy,binary (first floor = 1 vs other floors),0.221,0.013,,,***,,,high,residence on 1st floor,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,FLOOR,floor_level,A_structural,dummy,binary (first floor = 1 vs other floors),0.219,0.012,,,***,,,high,residence on 1st floor,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,FLOOR,floor_level,A_structural,dummy,binary (first floor = 1 vs other floors),0.221,0.012,,,***,,,high,residence on 1st floor,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,ROOM,bedrooms,A_structural,level,count,0.085,0.007,,,***,,,high,number of rooms,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,ROOM,bedrooms,A_structural,level,count,0.085,0.007,,,***,,,high,number of rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,ROOM,bedrooms,A_structural,level,count,0.086,0.007,,,***,,,high,number of rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,ROOM,bedrooms,A_structural,level,count,0.082,0.005,,,***,,,high,number of rooms,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,ROOM,bedrooms,A_structural,level,count,0.078,0.005,,,***,,,high,number of rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,ROOM,bedrooms,A_structural,level,count,0.081,0.005,,,***,,,high,number of rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,LIVROOM,other,other,level,count (living rooms),0.167,0.012,,,***,,,high,number of living rooms,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,LIVROOM,other,other,level,count (living rooms),0.166,0.011,,,***,,,high,number of living rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,LIVROOM,other,other,level,count (living rooms),0.173,0.011,,,***,,,high,number of living rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,LIVROOM,other,other,level,count (living rooms),0.097,0.008,,,***,,,high,number of living rooms,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,LIVROOM,other,other,level,count (living rooms),0.088,0.008,,,***,,,high,number of living rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,LIVROOM,other,other,level,count (living rooms),0.092,0.008,,,***,,,high,number of living rooms,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,BATH,bathrooms,A_structural,level,count,0.087,0.01,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,BATH,bathrooms,A_structural,level,count,0.085,0.01,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,BATH,bathrooms,A_structural,level,count,0.083,0.01,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,BATH,bathrooms,A_structural,level,count,0.018,0.007,,,**,,,high,,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,BATH,bathrooms,A_structural,level,count,0.017,0.007,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,BATH,bathrooms,A_structural,level,count,0.019,0.007,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,TYPE,dwelling_type,A_structural,binary,binary (multistoried building = 1 vs apartment house),0.068,0.012,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,TYPE,dwelling_type,A_structural,binary,binary (multistoried building = 1 vs apartment house),0.073,0.012,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,TYPE,dwelling_type,A_structural,binary,binary (multistoried building = 1 vs apartment house),0.069,0.012,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,TYPE,dwelling_type,A_structural,binary,binary (multistoried building = 1 vs apartment house),0.272,0.008,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,TYPE,dwelling_type,A_structural,binary,binary (multistoried building = 1 vs apartment house),0.255,0.008,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,TYPE,dwelling_type,A_structural,binary,binary (multistoried building = 1 vs apartment house),0.289,0.008,,,***,,,high,,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,TREAT,other,other,dummy,binary (located in neighbouring area of luxury housing project),0.021,0.024,,,,,,high,DiD treatment-group indicator,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,TREAT,other,other,dummy,binary (located in neighbouring area of luxury housing project),0.012,0.023,,,,,,high,DiD treatment-group indicator,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,TREAT,other,other,dummy,binary (located in neighbouring area of luxury housing project),0.003,0.029,,,,,,high,DiD treatment-group indicator,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,TREAT,other,other,dummy,binary (located in neighbouring area of luxury housing project),0.05,0.021,,,**,,,high,DiD treatment-group indicator,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,TREAT,other,other,dummy,binary (located in neighbouring area of luxury housing project),0.014,0.02,,,,,,high,DiD treatment-group indicator,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,TREAT,other,other,dummy,binary (located in neighbouring area of luxury housing project),0.027,0.026,,,,,,high,DiD treatment-group indicator,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,DD,other,other,other,binary interaction (TIME x TREAT),0.146,0.033,,,***,,,high,DiD interaction: spillover of luxury housing construction (during) / completion (after) on neighbouring prices,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,DD,other,other,other,binary interaction (TIME x TREAT),0.132,0.032,,,***,,,high,DiD interaction: spillover of luxury housing construction (during) / completion (after) on neighbouring prices,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,DD,other,other,other,binary interaction (TIME x TREAT),0.13,0.032,,,***,,,high,DiD interaction: spillover of luxury housing construction (during) / completion (after) on neighbouring prices,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,DD,other,other,other,binary interaction (TIME x TREAT),0.05,0.026,,,*,,,high,DiD interaction: spillover of luxury housing construction (during) / completion (after) on neighbouring prices,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,DD,other,other,other,binary interaction (TIME x TREAT),0.053,0.024,,,**,,,high,DiD interaction: spillover of luxury housing construction (during) / completion (after) on neighbouring prices,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,DD,other,other,other,binary interaction (TIME x TREAT),0.058,0.025,,,**,,,high,DiD interaction: spillover of luxury housing construction (during) / completion (after) on neighbouring prices,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,MRT,transit_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest MRT station; coefficient rounded to 0.001,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,MRT,transit_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest MRT station; coefficient rounded to 0.001,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,MRT,transit_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest MRT station; coefficient rounded to 0.001,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,MRT,transit_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest MRT station; coefficient rounded to 0.001,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,MRT,transit_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest MRT station; coefficient rounded to 0.001,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,MRT,transit_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest MRT station; coefficient rounded to 0.001,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,HISC,school_distance,D_location,level,m,0.001,0.001,,,,,,medium,distance to nearest senior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,HISC,school_distance,D_location,level,m,0.001,0.001,,,,,,medium,distance to nearest senior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,HISC,school_distance,D_location,level,m,0.001,0.001,,,,,,medium,distance to nearest senior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,HISC,school_distance,D_location,level,m,0.001,0.001,,,,,,medium,distance to nearest senior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,HISC,school_distance,D_location,level,m,-0.001,0.001,,,,,,medium,distance to nearest senior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,HISC,school_distance,D_location,level,m,-0.001,0.001,,,,,,medium,distance to nearest senior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,JUNI,school_distance,D_location,level,m,0.001,0.001,,,,,,medium,distance to nearest junior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,JUNI,school_distance,D_location,level,m,-0.001,0.001,,,,,,medium,distance to nearest junior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,JUNI,school_distance,D_location,level,m,-0.001,0.001,,,,,,medium,distance to nearest junior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,JUNI,school_distance,D_location,level,m,0.001,0.001,,,,,,medium,distance to nearest junior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,JUNI,school_distance,D_location,level,m,-0.001,0.001,,,,,,medium,distance to nearest junior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,JUNI,school_distance,D_location,level,m,0.001,0.001,,,,,,medium,distance to nearest junior high school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c1,7,1,12,PRIM,school_distance,D_location,level,m,-0.001,0.001,,,,,,medium,distance to nearest primary school; rounded,"ln(PRICE), total price in ten thousand NT$",log,OLS,5124.0,0.797,se,"During construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c2,7,2,12,PRIM,school_distance,D_location,level,m,-0.001,0.001,,,,,,low,distance to nearest primary school; rounded; printed as 'v0.001' in PDF (typo; sign unclear),"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,5124.0,0.807,se,"During construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c3,7,3,12,PRIM,school_distance,D_location,level,m,-0.001,0.001,,,,,,medium,distance to nearest primary school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,5124.0,0.813,se,"During construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c4,7,4,12,PRIM,school_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest primary school; rounded,"ln(PRICE), total price in ten thousand NT$",log,OLS,7647.0,0.719,se,"After construction sample (PSM-matched); OLS; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c5,7,5,12,PRIM,school_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest primary school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_lag,7647.0,0.746,se,"After construction sample (PSM-matched); spatial_lag; location fixed effects; DD specification with TIME, TREAT, DD"
5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97,5242a8699dbfd95d3c698daaa18f7bab00d59c97:T7-c6,7,6,12,PRIM,school_distance,D_location,level,m,-0.001,0.001,,,***,,,medium,distance to nearest primary school; rounded,"ln(PRICE), total price in ten thousand NT$",log,spatial_error,7647.0,0.757,se,"After construction sample (PSM-matched); spatial_error; location fixed effects; DD specification with TIME, TREAT, DD"
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Rooms,bedrooms,A_structural,level,count,0.059,0.031,,,*,,,high,Median number of rooms in block group White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Rooms,bedrooms,A_structural,level,count,0.049,,,,,,,medium,Median number of rooms in block group GWR median of local coefficients; range 0.031 to 0.104; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,House Age,age,A_structural,level,years,-0.014,0.003,,,***,,,high,Median house age White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,House Age,age,A_structural,level,years,-0.015,,,,,,,medium,Median house age GWR median of local coefficients; range -0.017 to -0.013; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,House Age-squared,age,A_structural,squared,years,0.0,0.0,,,***,,,high,White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,House Age-squared,age,A_structural,squared,years,0.0,,,,,,,medium,GWR median of local coefficients; range 0.0 to 0.0; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Income),income,F_neighbourhood,log,currency,0.42,0.067,,,***,,,high,Log median household income White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Income),income,F_neighbourhood,log,currency,0.496,,,,,,,medium,Log median household income GWR median of local coefficients; range 0.266 to 0.525; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Median Age,demographics,F_neighbourhood,level,years,0.007,0.003,,,**,,,high,Median age of residents White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Median Age,demographics,F_neighbourhood,level,years,0.0,,,,,,,medium,Median age of residents GWR median of local coefficients; range -0.002 to 0.014; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Poverty,other,other,level,share,-0.001,0.002,,,,,,high,Poverty rate (%) White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Poverty,other,other,level,share,-0.001,,,,,,,medium,Poverty rate (%) GWR median of local coefficients; range -0.002 to 0.001; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Pop den),density,F_neighbourhood,log,per_km2,0.0,0.021,,,,,,high,Log population density White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Pop den),density,F_neighbourhood,log,per_km2,0.014,,,,,,,medium,Log population density GWR median of local coefficients; range -0.031 to 0.036; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Vacant,vacancy,F_neighbourhood,level,share,-0.009,0.004,,,**,,,high,Percentage of vacant houses White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Vacant,vacancy,F_neighbourhood,level,share,-0.008,,,,,,,medium,Percentage of vacant houses GWR median of local coefficients; range -0.012 to -0.006; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Recreation,other,other,level,share,0.019,0.006,,,***,,,high,Percentage of houses used for recreational purposes White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Recreation,other,other,level,share,0.022,,,,,,,medium,Percentage of houses used for recreational purposes GWR median of local coefficients; range 0.009 to 0.033; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Road),highway_distance,D_location,log,km,0.004,0.014,,,,,,high,Log distance to nearest road White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Road),highway_distance,D_location,log,km,0.004,,,,,,,medium,Log distance to nearest road GWR median of local coefficients; range -0.004 to 0.028; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Rail),transit_distance,D_location,log,km,0.013,0.013,,,,,,high,"Log distance to nearest railroad (line, not station) White SE.",ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Rail),transit_distance,D_location,log,km,0.011,,,,,,,medium,"Log distance to nearest railroad (line, not station) GWR median of local coefficients; range -0.021 to 0.028; no SE.",ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(School),school_distance,D_location,log,km,0.0,0.022,,,,,,high,White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(School),school_distance,D_location,log,km,0.011,,,,,,,medium,GWR median of local coefficients; range -0.021 to 0.016; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Shopping centers),commercial_distance,D_location,log,km,-0.036,0.021,,,*,,,high,White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Shopping centers),commercial_distance,D_location,log,km,-0.029,,,,,,,medium,GWR median of local coefficients; range -0.051 to -0.013; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Hospital),hospital_distance,D_location,log,km,-0.086,0.025,,,***,,,high,White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Hospital),hospital_distance,D_location,log,km,-0.137,,,,,,,medium,GWR median of local coefficients; range -0.157 to -0.032; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Airport),airport_distance,D_location,log,km,0.006,0.026,,,,,,high,White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Airport),airport_distance,D_location,log,km,0.052,,,,,,,medium,GWR median of local coefficients; range 0.0 to 0.076; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Park),green_space,E_environment,log,km,-0.01,0.021,,,,,,high,Log distance to nearest public park White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Park),green_space,E_environment,log,km,0.01,,,,,,,medium,Log distance to nearest public park GWR median of local coefficients; range -0.036 to 0.023; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Bay),water_proximity,E_environment,log,km,-0.059,0.009,,,***,,,high,Log distance to nearest bay White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Bay),water_proximity,E_environment,log,km,-0.054,,,,,,,medium,Log distance to nearest bay GWR median of local coefficients; range -0.064 to -0.047; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(River),water_proximity,E_environment,log,km,-0.004,0.012,,,,,,high,Log distance to nearest river White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(River),water_proximity,E_environment,log,km,-0.025,,,,,,,medium,Log distance to nearest river GWR median of local coefficients; range -0.032 to -0.005; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Stream),water_proximity,E_environment,log,km,-0.03,0.017,,,*,,,high,Log distance to nearest stream White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Stream),water_proximity,E_environment,log,km,-0.055,,,,,,,medium,Log distance to nearest stream GWR median of local coefficients; range -0.078 to -0.033; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Bayou),water_proximity,E_environment,log,km,0.038,0.018,,,**,,,high,Log distance to nearest bayou White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Bayou),water_proximity,E_environment,log,km,0.048,,,,,,,medium,Log distance to nearest bayou GWR median of local coefficients; range 0.032 to 0.073; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-OLS,2,Global Model (OLS),9,Ln(Water),water_proximity,E_environment,log,km,-0.029,0.011,,,***,,,high,Log distance to nearest other water body White SE.,ln(housing value),log,OLS,620.0,0.518,se,all 620 block groups; White SE
527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd,527c17fa11ad1ccaff05d13eaeb2dfa2ff940bdd:T2-GWR,2,Local Model (GWR) - median of local coefficients,9,Ln(Water),water_proximity,E_environment,log,km,-0.015,,,,,,,medium,Log distance to nearest other water body GWR median of local coefficients; range -0.04 to -0.012; no SE.,ln(housing value),log,GWR,620.0,0.572,none,median of local GWR coefficients; min-max in notes
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,BTS_Prox,hazard_site,E_environment,dummy,binary,0.014,0.007,,,*,,,high,Dummy = 1 if apartment within 200 m of a base transceiver station (cell phone tower),ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,Ln Area,living_area,A_structural,log,m2,0.913,0.017,,,***,,,high,Natural log of usable area in m2,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,Rooms,bedrooms,A_structural,level,count,0.008,0.006,,,,,,high,Number of rooms (not bedrooms),ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,Floor2,floor_level,A_structural,dummy,binary,0.014,0.009,,,,,,high,Dummy for 'other floors' (above 2nd); base = ground floor,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,Floor3,floor_level,A_structural,dummy,binary,0.076,0.01,,,***,,,high,Dummy for first or second floor; base = ground floor,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",0.0,0.004,,,,,,high,Road noise in interval brackets 1-4,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,School,school_distance,D_location,level,100 m,-0.006,0.001,,,***,,,high,Linear distance to nearest elementary school in 100 m units,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,Bus,transit_distance,D_location,level,100 m,0.01,0.003,,,***,,,high,Linear distance to nearest public transport stop in 100 m units,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c1,3,Mod. 1,14,Trans_C,other,other,dummy,binary,-0.097,0.013,,,***,,,high,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C',ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,BTS_Dist,hazard_site,E_environment,level,100 m,0.006,0.004,,,,,,high,Linear distance to nearest base transceiver station in 100 m units (Table 2 label is a copy-paste error),ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,Ln Area,living_area,A_structural,log,m2,0.919,0.017,,,***,,,high,Natural log of usable area in m2,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,Rooms,bedrooms,A_structural,level,count,0.006,0.006,,,,,,high,Number of rooms (not bedrooms),ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,Floor2,floor_level,A_structural,dummy,binary,0.015,0.009,,,,,,high,Dummy for 'other floors' (above 2nd); base = ground floor,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,Floor3,floor_level,A_structural,dummy,binary,0.077,0.01,,,***,,,high,Dummy for first or second floor; base = ground floor,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.001,0.004,,,,,,high,Road noise in interval brackets 1-4,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,School,school_distance,D_location,level,100 m,-0.005,0.001,,,***,,,high,Linear distance to nearest elementary school in 100 m units,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,Bus,transit_distance,D_location,level,100 m,0.009,0.003,,,**,,,high,Linear distance to nearest public transport stop in 100 m units,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c2,3,Mod. 2,14,Trans_C,other,other,dummy,binary,-0.097,0.013,,,***,,,high,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C',ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,BTS_Num,hazard_site,E_environment,level,count,0.006,0.004,,,,,,high,Number of base transceiver stations within 200 m,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,Ln Area,living_area,A_structural,log,m2,0.912,0.017,,,***,,,high,Natural log of usable area in m2,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,Rooms,bedrooms,A_structural,level,count,0.008,0.006,,,,,,high,Number of rooms (not bedrooms),ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,Floor2,floor_level,A_structural,dummy,binary,0.014,0.009,,,,,,high,Dummy for 'other floors' (above 2nd); base = ground floor,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,Floor3,floor_level,A_structural,dummy,binary,0.076,0.01,,,***,,,high,Dummy for first or second floor; base = ground floor,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.0,0.004,,,,,,high,Road noise in interval brackets 1-4,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,School,school_distance,D_location,level,100 m,-0.006,0.001,,,***,,,high,Linear distance to nearest elementary school in 100 m units,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,Bus,transit_distance,D_location,level,100 m,0.011,0.003,,,***,,,high,Linear distance to nearest public transport stop in 100 m units,ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c3,3,Mod. 3,14,Trans_C,other,other,dummy,binary,-0.097,0.013,,,***,,,high,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C',ln transaction price (PLN),log,OLS,1825.0,0.883,se,Full sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,BTS_Prox,hazard_site,E_environment,dummy,binary,-0.001,0.008,,,,,,high,Dummy = 1 if apartment within 200 m of a base transceiver station (cell phone tower),ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,Ln Area,living_area,A_structural,log,m2,0.882,0.023,,,***,,,high,Natural log of usable area in m2,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,Rooms,bedrooms,A_structural,level,count,0.011,0.008,,,,,,high,Number of rooms (not bedrooms),ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,Floor2,floor_level,A_structural,dummy,binary,-0.007,0.013,,,,,,high,Dummy for 'other floors' (above 2nd); base = ground floor,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,Floor3,floor_level,A_structural,dummy,binary,0.037,0.013,,,**,,,high,Dummy for first or second floor; base = ground floor,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.006,0.005,,,,,,high,Road noise in interval brackets 1-4,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,School,school_distance,D_location,level,100 m,-0.006,0.002,,,***,,,high,Linear distance to nearest elementary school in 100 m units,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,Bus,transit_distance,D_location,level,100 m,0.013,0.004,,,***,,,high,Linear distance to nearest public transport stop in 100 m units,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c4,3,Mod. 4,14,Trans_C,other,other,dummy,binary,-0.039,0.018,,,*,,,high,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C',ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS proximity dummy
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,BTS_Dist,hazard_site,E_environment,level,100 m,0.008,0.005,,,,,,high,Linear distance to nearest base transceiver station in 100 m units (Table 2 label is a copy-paste error),ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,Ln Area,living_area,A_structural,log,m2,0.886,0.023,,,***,,,high,Natural log of usable area in m2,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,Rooms,bedrooms,A_structural,level,count,0.01,0.008,,,,,,high,Number of rooms (not bedrooms),ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,Floor2,floor_level,A_structural,dummy,binary,-0.007,0.013,,,,,,high,Dummy for 'other floors' (above 2nd); base = ground floor,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,Floor3,floor_level,A_structural,dummy,binary,0.037,0.013,,,**,,,high,Dummy for first or second floor; base = ground floor,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.006,0.005,,,,,,high,Road noise in interval brackets 1-4,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,School,school_distance,D_location,level,100 m,-0.006,0.002,,,**,,,high,Linear distance to nearest elementary school in 100 m units,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,Bus,transit_distance,D_location,level,100 m,0.011,0.004,,,**,,,high,Linear distance to nearest public transport stop in 100 m units,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c5,3,Mod. 5,14,Trans_C,other,other,dummy,binary,-0.039,0.018,,,*,,,high,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C',ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; BTS distance
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,BTS_Num,hazard_site,E_environment,level,count,0.003,0.005,,,,,,high,Number of base transceiver stations within 200 m,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,Ln Area,living_area,A_structural,log,m2,0.88,0.023,,,***,,,high,Natural log of usable area in m2,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,Rooms,bedrooms,A_structural,level,count,0.011,0.008,,,,,,high,Number of rooms (not bedrooms),ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,Floor2,floor_level,A_structural,dummy,binary,-0.007,0.013,,,,,,high,Dummy for 'other floors' (above 2nd); base = ground floor,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,Floor3,floor_level,A_structural,dummy,binary,0.037,0.013,,,**,,,high,Dummy for first or second floor; base = ground floor,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.006,0.005,,,,,,high,Road noise in interval brackets 1-4,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,School,school_distance,D_location,level,100 m,-0.006,0.002,,,**,,,high,Linear distance to nearest elementary school in 100 m units,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,Bus,transit_distance,D_location,level,100 m,0.013,0.004,,,***,,,high,Linear distance to nearest public transport stop in 100 m units,ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T3-c6,3,Mod. 6,14,Trans_C,other,other,dummy,binary,-0.04,0.018,,,*,,,high,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C',ln transaction price (PLN),log,OLS,834.0,0.875,se,CEM-matched sample; number of BTS
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Treatment (BTS_5G*after),hazard_site,E_environment,dummy,binary,-0.021,0.005,,,,,,medium,DiD interaction: within 200 m of a 5G BTS x after May 2020; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,BTS_Prox,hazard_site,E_environment,dummy,binary,0.026,0.005,,,,,,medium,Dummy = 1 if apartment within 200 m of a base transceiver station (cell phone tower); Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Ln Area,living_area,A_structural,log,m2,0.919,0.019,,,*,,,medium,Natural log of usable area in m2; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Rooms,bedrooms,A_structural,level,count,0.007,0.009,,,,,,medium,Number of rooms (not bedrooms); Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Floor2,floor_level,A_structural,dummy,binary,0.015,0.004,,,,,,medium,Dummy for 'other floors' (above 2nd); base = ground floor; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Floor3,floor_level,A_structural,dummy,binary,0.077,0.007,,,,,,medium,Dummy for first or second floor; base = ground floor; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.001,0.003,,,,,,medium,Road noise in interval brackets 1-4; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,School,school_distance,D_location,level,100 m,-0.006,0.0,,,*,,,medium,Linear distance to nearest elementary school in 100 m units; Table 4 stars inconsistent with printed SEs; DiD specification; SE printed as (0.000),ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Bus,transit_distance,D_location,level,100 m,0.012,0.006,,,,,,medium,Linear distance to nearest public transport stop in 100 m units; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c1,4,Mod. 7,16,Trans_C,other,other,dummy,binary,-0.098,0.006,,,*,,,medium,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C'; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences (5G introduction) with BTS proximity dummy; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Treatment (BTS_5G*after),hazard_site,E_environment,dummy,binary,-0.022,0.004,,,,,,medium,DiD interaction: within 200 m of a 5G BTS x after May 2020; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,BTS_Dist,hazard_site,E_environment,level,100 m,0.01,0.011,,,,,,medium,Linear distance to nearest base transceiver station in 100 m units (Table 2 label is a copy-paste error); Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Ln Area,living_area,A_structural,log,m2,0.916,0.015,,,*,,,medium,Natural log of usable area in m2; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Rooms,bedrooms,A_structural,level,count,0.007,0.008,,,,,,medium,Number of rooms (not bedrooms); Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Floor2,floor_level,A_structural,dummy,binary,0.015,0.005,,,,,,medium,Dummy for 'other floors' (above 2nd); base = ground floor; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Floor3,floor_level,A_structural,dummy,binary,0.077,0.005,,,*,,,medium,Dummy for first or second floor; base = ground floor; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.001,0.003,,,,,,medium,Road noise in interval brackets 1-4; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,School,school_distance,D_location,level,100 m,-0.005,0.001,,,,,,medium,Linear distance to nearest elementary school in 100 m units; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Bus,transit_distance,D_location,level,100 m,0.007,0.006,,,,,,medium,Linear distance to nearest public transport stop in 100 m units; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c2,4,Mod. 8,16,Trans_C,other,other,dummy,binary,-0.095,0.003,,,*,,,medium,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C'; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with BTS distance; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Treatment (BTS_5G*after),hazard_site,E_environment,dummy,binary,-0.022,0.005,,,,,,medium,DiD interaction: within 200 m of a 5G BTS x after May 2020; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,BTS_Num,hazard_site,E_environment,level,count,0.014,0.012,,,,,,medium,Number of base transceiver stations within 200 m; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Ln Area,living_area,A_structural,log,m2,0.915,0.02,,,*,,,medium,Natural log of usable area in m2; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Rooms,bedrooms,A_structural,level,count,0.007,0.009,,,,,,medium,Number of rooms (not bedrooms); Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Floor2,floor_level,A_structural,dummy,binary,0.014,0.005,,,,,,medium,Dummy for 'other floors' (above 2nd); base = ground floor; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Floor3,floor_level,A_structural,dummy,binary,0.077,0.006,,,,,,medium,Dummy for first or second floor; base = ground floor; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Noise,noise,E_environment,level,"ordinal (4 brackets of 5 dB: <55, 55-60, 60-65, 65-70 dB)",-0.002,0.003,,,,,,medium,Road noise in interval brackets 1-4; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,School,school_distance,D_location,level,100 m,-0.006,0.001,,,,,,medium,Linear distance to nearest elementary school in 100 m units; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Bus,transit_distance,D_location,level,100 m,0.013,0.005,,,,,,medium,Linear distance to nearest public transport stop in 100 m units; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9,52cbefc12720084fe56091430bf37e9fbeba96b9:T4-c3,4,Mod. 9,16,Trans_C,other,other,dummy,binary,-0.098,0.005,,,*,,,medium,Dummy = 1 if buyer or seller is a corporate (non-household) party; printed name 'Trans_C'; Table 4 stars inconsistent with printed SEs; DiD specification,ln transaction price (PLN),log,other,1825.0,,se,Difference-in-differences with number of BTS; quarterly FE
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,bathrooms,bathrooms,A_structural,level,count,0.1798,0.0024,,,**,,,high,,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,bedrooms,bedrooms,A_structural,level,count,0.0814,0.0021,,,**,,,high,,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,building_type,dwelling_type,A_structural,dummy,binary,0.0874,0.0057,,,**,,,high,"1 = house, 0 = apartment","ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,seller_type,other,other,dummy,binary,-0.0662,0.0044,,,**,,,high,"1 = seller is the owner, 0 = real estate agent; printed name 'seller_type'","ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,total_surface,living_area,A_structural,level,m2,0.0008,,,,**,,,high,Total surface area of the property in m2; SE printed as 0.0000 (rounded to 4 decimals); not usable as printed,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,quality_municipality,public_services,F_neighbourhood,level,index,0.0273,0.0003,,,**,,,high,ICVU 2019 Urban Quality of Life Index of the municipality,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,parking_lots,parking,A_structural,level,count,0.0159,0.0013,,,**,,,high,Number of parking lots,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,swimpool,pool,C_exterior,dummy,binary,0.0002,0.0034,,,,,,high,,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,terrace,terrace_balcony,C_exterior,dummy,binary,0.0582,0.0032,,,**,,,high,,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,storage_units,storage,B_interior,level,count,0.0304,0.0016,,,**,,,high,Number of storage units,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,new_house,age,A_structural,dummy,binary,0.0753,0.0073,,,**,,,high,1 = new construction home,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,simce_4b,school_quality,F_neighbourhood,level,score,0.0082,0.0001,,,**,,,high,Average SIMCE 4th-grade score of schools within 2 km,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,nearby_schools_3km,school_distance,D_location,level,count,-0.0008,,,,**,,,high,"Number of schools within 3 km (count, not distance); SE printed as 0.0000 (rounded to 4 decimals); not usable as printed","ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_subway,transit_distance,D_location,level,km,0.0045,0.0011,,,**,,,high,Min geodesic distance to subway,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_park,green_space,E_environment,level,km,-0.0019,0.0017,,,,,,high,Min geodesic distance to park,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_hospital,hospital_distance,D_location,level,km,0.0038,0.001,,,**,,,high,Min geodesic distance to hospital or health clinic,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_police,public_services,F_neighbourhood,level,km,0.0263,0.002,,,**,,,high,Min geodesic distance to police station,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_university,university_distance,D_location,level,km,-0.0176,0.0013,,,**,,,high,,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_mall,commercial_distance,D_location,level,km,-0.0039,0.0014,,,**,,,high,Min geodesic distance to mall,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_penitentiary,hazard_site,E_environment,level,km,-0.005,0.0006,,,**,,,high,Min geodesic distance to penitentiary,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_industry,hazard_site,E_environment,level,km,0.0096,0.0009,,,**,,,high,Min geodesic distance to industry,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,dist_dump,hazard_site,E_environment,level,km,0.0019,0.0005,,,**,,,high,Min geodesic distance to dump,"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_bathroom,other,other,dummy,binary,-0.0506,0.0035,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of bathroom; printed name 'photo_bathroom',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_bedroom,other,other,dummy,binary,-0.0015,0.0038,,,,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of bedroom; printed name 'photo_bedroom',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_livingroom,other,other,dummy,binary,0.0492,0.0039,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of livingroom; printed name 'photo_livingroom',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_diningroom,other,other,dummy,binary,0.0488,0.0032,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of diningroom; printed name 'photo_diningroom',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_interior,other,other,dummy,binary,0.0017,0.003,,,,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of interior; printed name 'photo_interior',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_exterior,other,other,dummy,binary,-0.0011,0.0031,,,,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of exterior; printed name 'photo_exterior',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_balcony,other,other,dummy,binary,0.0249,0.003,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of balcony; printed name 'photo_balcony',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_laundryroom,other,other,dummy,binary,-0.0326,0.0039,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of laundryroom; printed name 'photo_laundryroom',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_floorplans,other,other,dummy,binary,0.0445,0.0054,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of floorplans; printed name 'photo_floorplans',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-OLS,8,OLS,20,photo_swimpool,other,other,dummy,binary,-0.0092,0.0034,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of swimpool; printed name 'photo_swimpool',"ln(listing price, UF)",log,OLS,52039.0,0.8654,se,Full filtered dataset (assumed); SE in separate column
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,bathrooms,bathrooms,A_structural,level,count,0.1712,0.0023,,,**,,,high,,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,bedrooms,bedrooms,A_structural,level,count,0.0752,0.0021,,,**,,,high,,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,building_type,dwelling_type,A_structural,dummy,binary,0.0957,0.0055,,,**,,,high,"1 = house, 0 = apartment","ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,seller_type,other,other,dummy,binary,-0.0649,0.0043,,,**,,,high,"1 = seller is the owner, 0 = real estate agent; printed name 'seller_type'","ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,total_surface,living_area,A_structural,level,m2,0.0007,,,,**,,,high,Total surface area of the property in m2; SE printed as 0.0000 (rounded to 4 decimals); not usable as printed,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,quality_municipality,public_services,F_neighbourhood,level,index,0.0178,0.0003,,,**,,,high,ICVU 2019 Urban Quality of Life Index of the municipality,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,parking_lots,parking,A_structural,level,count,0.0139,0.0012,,,**,,,high,Number of parking lots,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,swimpool,pool,C_exterior,dummy,binary,0.0021,0.0033,,,,,,high,,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,terrace,terrace_balcony,C_exterior,dummy,binary,0.0465,0.0031,,,**,,,high,,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,storage_units,storage,B_interior,level,count,0.0289,0.0015,,,**,,,high,Number of storage units,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,new_house,age,A_structural,dummy,binary,0.0668,0.007,,,**,,,high,1 = new construction home,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,simce_4b,school_quality,F_neighbourhood,level,score,0.0036,0.0001,,,**,,,high,Average SIMCE 4th-grade score of schools within 2 km,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,nearby_schools_3km,school_distance,D_location,level,count,0.0014,,,,**,,,high,"Number of schools within 3 km (count, not distance); SE printed as 0.0000 (rounded to 4 decimals); not usable as printed","ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_subway,transit_distance,D_location,level,km,0.0054,0.001,,,**,,,high,Min geodesic distance to subway,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_park,green_space,E_environment,level,km,0.0087,0.0016,,,**,,,high,Min geodesic distance to park,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_hospital,hospital_distance,D_location,level,km,-0.0084,0.0009,,,**,,,high,Min geodesic distance to hospital or health clinic,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_police,public_services,F_neighbourhood,level,km,0.0194,0.0019,,,**,,,high,Min geodesic distance to police station,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_university,university_distance,D_location,level,km,-0.0121,0.0011,,,**,,,high,,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_mall,commercial_distance,D_location,level,km,0.0052,0.0013,,,**,,,high,Min geodesic distance to mall,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_penitentiary,hazard_site,E_environment,level,km,-0.0035,0.0006,,,**,,,high,Min geodesic distance to penitentiary,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_industry,hazard_site,E_environment,level,km,-0.0006,0.0009,,,,,,high,Min geodesic distance to industry,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,dist_dump,hazard_site,E_environment,level,km,-0.0045,0.0005,,,**,,,high,Min geodesic distance to dump,"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_bathroom,other,other,dummy,binary,-0.045,0.0034,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of bathroom; printed name 'photo_bathroom',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_bedroom,other,other,dummy,binary,-0.0015,0.0037,,,,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of bedroom; printed name 'photo_bedroom',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_livingroom,other,other,dummy,binary,0.0438,0.0037,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of livingroom; printed name 'photo_livingroom',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_diningroom,other,other,dummy,binary,0.0441,0.003,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of diningroom; printed name 'photo_diningroom',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_interior,other,other,dummy,binary,0.0036,0.0029,,,,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of interior; printed name 'photo_interior',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_exterior,other,other,dummy,binary,-0.0004,0.003,,,,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of exterior; printed name 'photo_exterior',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_balcony,other,other,dummy,binary,0.0209,0.0029,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of balcony; printed name 'photo_balcony',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_laundryroom,other,other,dummy,binary,-0.0249,0.0037,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of laundryroom; printed name 'photo_laundryroom',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_floorplans,other,other,dummy,binary,0.0422,0.0052,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of floorplans; printed name 'photo_floorplans',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d,53d1b6d48e64b056e88ebabd287c3f06ec3b559d:T8-SAR,8,SAR,20,photo_swimpool,other,other,dummy,binary,-0.0115,0.0032,,,**,,,high,AI-derived (CNN DenseNet201) indicator: listing includes at least one photo of swimpool; printed name 'photo_swimpool',"ln(listing price, UF)",log,spatial_lag,52039.0,0.8774,se,Full filtered dataset (assumed); KNN spatial weights; rho = 0.4271 (0.0080)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T5,5,1,12,C,energy_efficiency,A_structural,binary,binary,-0.12,0.89,-0.98,0.33,,,,low,EPC level dummy (ref: B); printed SE inconsistent with printed t (t implies SE ~0.12) - do not use SE,log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,503.0,0.04,se,listings with EPC level B-G
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T5,5,1,12,D,energy_efficiency,A_structural,binary,binary,-0.2,0.85,-1.6,0.1,,,,low,EPC level dummy (ref: B); printed SE inconsistent with printed t (t implies SE ~0.12) - do not use SE,log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,503.0,0.04,se,listings with EPC level B-G
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T5,5,1,12,E,energy_efficiency,A_structural,binary,binary,-0.27,0.86,-2.17,0.03,*,,,low,EPC level dummy (ref: B); printed SE inconsistent with printed t (t implies SE ~0.12) - do not use SE,log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,503.0,0.04,se,listings with EPC level B-G
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T5,5,1,12,F,energy_efficiency,A_structural,binary,binary,-0.4,0.87,-3.23,0.0,**,,,low,EPC level dummy (ref: B); printed SE inconsistent with printed t (t implies SE ~0.12) - do not use SE,log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,503.0,0.04,se,listings with EPC level B-G
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T5,5,1,12,G,energy_efficiency,A_structural,binary,binary,-0.27,0.82,-2.32,0.02,*,,,low,EPC level dummy (ref: B); printed SE inconsistent with printed t (t implies SE ~0.12) - do not use SE,log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,503.0,0.04,se,listings with EPC level B-G
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T6,6,1,15,to be partially renovated,condition,A_structural,binary,binary,0.07,0.04,1.81,0.07,.,,,high,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,573.0,0.77,se,"all listings (Model 1, without EPC)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T6,6,1,15,good,condition,A_structural,binary,binary,0.17,0.04,4.67,3.73e-06,***,,,high,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,573.0,0.77,se,"all listings (Model 1, without EPC)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T6,6,1,15,refurbished,condition,A_structural,binary,binary,0.28,0.04,7.25,1.45e-12,***,,,high,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,573.0,0.77,se,"all listings (Model 1, without EPC)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T6,6,1,15,council housing,condition,A_structural,binary,binary,-0.08,0.05,-1.5,0.13,,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,573.0,0.77,se,"all listings (Model 1, without EPC)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T6,6,1,15,medium-level,condition,A_structural,binary,binary,0.11,0.02,4.46,1.01e-05,***,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,573.0,0.77,se,"all listings (Model 1, without EPC)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T6,6,1,15,distinguished,condition,A_structural,binary,binary,0.25,0.03,7.17,2.59e-12,***,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,573.0,0.77,se,"all listings (Model 1, without EPC)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T6,6,1,15,classy,condition,A_structural,binary,binary,0.46,0.07,6.2,1.15e-09,***,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,573.0,0.77,se,"all listings (Model 1, without EPC)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,to be partially renovated,condition,A_structural,binary,binary,0.08,0.04,1.76,0.08,.,,,high,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,good,condition,A_structural,binary,binary,0.16,0.04,3.98,8.09e-05,***,,,high,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,refurbished,condition,A_structural,binary,binary,0.26,0.05,5.78,1.48e-08,***,,,high,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,council housing,condition,A_structural,binary,binary,-0.06,0.06,-0.95,0.34,,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,medium-level,condition,A_structural,binary,binary,0.1,0.03,3.74,0.0,***,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,distinguished,condition,A_structural,binary,binary,0.24,0.04,6.05,3.21e-09,***,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,classy,condition,A_structural,binary,binary,0.49,0.08,5.85,9.77e-09,***,,,high,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,C,energy_efficiency,A_structural,binary,binary,-0.03,0.07,-0.41,0.68,,,,high,EPC level dummy (ref: B),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,D,energy_efficiency,A_structural,binary,binary,-0.1,0.067,-1.42,0.15,,,,high,EPC level dummy (ref: B),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,E,energy_efficiency,A_structural,binary,binary,-0.06,0.07,-0.92,0.36,,,,high,EPC level dummy (ref: B),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,F,energy_efficiency,A_structural,binary,binary,-0.14,0.07,-2.01,0.04,*,,,high,EPC level dummy (ref: B),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T7,7,1,17,G,energy_efficiency,A_structural,binary,binary,-0.1,0.07,-1.45,0.15,,,,high,EPC level dummy (ref: B),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.79,se,listings with EPC level (Model 2)
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,to be completely renovated,condition,A_structural,binary,binary,0.21,0.13,1.63,0.1,,,,medium,apartment condition dummy; reference category unclear in Table 8,log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,to be partially renovated,condition,A_structural,binary,binary,0.07,0.04,1.75,0.08,.,,,medium,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,good,condition,A_structural,binary,binary,0.16,0.04,3.9,0.0,***,,,medium,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,refurbished,condition,A_structural,binary,binary,0.26,0.04,5.66,2.72e-08,***,,,medium,apartment condition dummy (ref: to be completely renovated),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,medium-level,condition,A_structural,binary,binary,0.1,0.03,3.77,0.0,***,,,medium,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,council housing,condition,A_structural,binary,binary,-0.05,0.06,-0.91,0.36,,,,medium,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,classy,condition,A_structural,binary,binary,0.49,0.08,5.91,6.82e-09,***,,,medium,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,distinguished,condition,A_structural,binary,binary,0.24,0.04,6.08,2.61e-09,***,,,medium,building quality level dummy (ref: economical),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,DE,energy_efficiency,A_structural,binary,binary,-0.06,0.03,-1.77,0.08,.,,,medium,EPC cluster dummy (ref: B-C),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a,53f863bd54970307af93c0ba10a947b3b65b890a:T8,8,1,18,FG,energy_efficiency,A_structural,binary,binary,-0.09,0.03,-2.65,0.01,**,,,medium,EPC cluster dummy (ref: B-C),log listing price per m2 (text says 'log listing price'; intercepts 7.95-8.04 and absence of size regressor imply price per m2; intercepts of Tables 6-7 misprinted as 785.08 / 79620.42),log,OLS,477.0,0.78,se,"listings with EPC level (Model 2, EPC grouped)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,log (1 + Area),living_area,A_structural,log,m2,-0.319,,,,,-0.321,-0.316,high,"Total floor area in m2 entered as log(1+Area); dependent variable is log price PER square metre, so the negative coefficient is a size discount on unit price, not on total price",log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Rooms (3 Rooms),bedrooms,A_structural,dummy,count,0.066,,,,,0.065,0.068,high,"Number of rooms (all rooms, not bedrooms) category cat2 = 3 rooms; base category <= 2 rooms",log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Rooms (4 Rooms),bedrooms,A_structural,dummy,count,0.059,,,,,0.057,0.062,high,Number of rooms category 4 rooms; base <= 2 rooms,log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Rooms (5 Rooms),bedrooms,A_structural,dummy,count,0.064,,,,,0.061,0.067,high,Number of rooms category 5 rooms; base <= 2 rooms,log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Rooms (> 5 Rooms),bedrooms,A_structural,dummy,count,0.109,,,,,0.106,0.113,high,Number of rooms category > 5 rooms; base <= 2 rooms,log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Property type (Terraced),dwelling_type,A_structural,dummy,binary,-0.052,,,,,-0.054,-0.05,high,Base category semi-detached,log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Property type (Detached),dwelling_type,A_structural,dummy,binary,0.141,,,,,0.138,0.144,high,Base category semi-detached,log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Property type (Flats),dwelling_type,A_structural,dummy,binary,-0.25,,,,,-0.252,-0.247,high,Base category semi-detached,log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Fireplace,fireplace,B_interior,binary,binary,0.064,,,,,0.062,0.065,high,1 if fireplace present,log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Ventilation (Extract-only),other,other,dummy,binary,0.029,,,,,0.022,0.036,high,Mechanical ventilation type (EPC); base category natural ventilation; printed name 'Ventilation (Extract-only)',log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Ventilation (Both supply and extract),other,other,dummy,binary,0.055,,,,,0.043,0.065,high,Mechanical ventilation type (EPC); base natural ventilation; printed name 'Ventilation (Both supply and extract)',log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,Wind turbine,other,other,binary,binary,0.006,,,,,-0.019,0.031,high,"1 if the property has a wind turbine (EPC micro-generation feature on the dwelling, not proximity to a wind farm); printed name 'Wind turbine'; CI includes zero",log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12,549587ac03dcb9d550c7fe68da027277dd876b12:T2-c1,2,1,17,log (1 + CO2 emission),energy_efficiency,A_structural,log,kg/m2 per year,-0.031,,,,,-0.035,-0.028,high,"EPC CO2 emissions per year in kg/m2, entered as log(1+x); main effect at trend = 0 (an interaction trend x CO2 = 0.076 (0.070, 0.081) is also reported but not extracted)",log(price per square metre),per_m2,other,651202.0,0.796,none,"Full sample, 983 MSOAs x 106 months; Bayesian posterior mean with 95% credible interval; R2 from Table 3 (D&C-STBD)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Floor area,living_area,A_structural,level,m2,-0.00179,2.94e-05,,,***,,,high,"Floor area in m2 (text says area squared also included but not printed); stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Age2,age,A_structural,dummy,binary,0.0431,0.00245,,,***,,,high,"Construction-decade dummy 1980-1989 (base Age1 = 1950-1979); construction period dummy, not age in years; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Age3,age,A_structural,dummy,binary,0.0492,0.00269,,,***,,,high,"Construction-decade dummy 1990-1999 (base 1950-1979); stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Age4,age,A_structural,dummy,binary,0.0631,0.00306,,,***,,,high,"Construction-decade dummy 2000-2009 (base 1950-1979); stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Age2 (second entry; presumably Age5),age,A_structural,dummy,binary,0.0336,0.00445,,,***,,,medium,"Printed as 'Age2' a second time; by table order this is Age5 (2010-2019) construction-decade dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Elevator,accessibility,B_interior,binary,binary,-0.021,0.00132,,,***,,,medium,"Defined as dummy (1 = apartment with elevator) in Table 1, though descriptive stats (mean 1.94, max 8) suggest a count; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Dec1,condition,A_structural,binary,binary,0.0214,0.00112,,,***,,,high,"Refined decoration (finish) dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Dec2,condition,A_structural,binary,binary,-0.00185,0.00113,,,,,,high,"Simple decoration dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Dec3,condition,A_structural,binary,binary,-0.0157,0.00185,,,***,,,high,"Roughcast (unfinished) dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Floor1,floor_level,A_structural,dummy,binary,-0.0324,0.00853,,,***,,,high,"Top floor dummy (floor-level category); stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Floor2,floor_level,A_structural,dummy,binary,0.00618,0.00849,,,,,,high,"High floor dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Floor3,floor_level,A_structural,dummy,binary,0.011,0.00849,,,,,,high,"Middle floor dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Floor4,floor_level,A_structural,dummy,binary,0.00149,0.00852,,,,,,high,"Low floor dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Floor5,floor_level,A_structural,dummy,binary,0.0131,0.00861,,,,,,high,"Ground floor dummy; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Bedroom number,bedrooms,A_structural,level,count,0.0207,0.000884,,,***,,,high,"; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T8-c1,8,1,18,Orientation,sunlight,E_environment,binary,binary,0.022,0.000616,,,***,,,high,"1 = southern orientation; stars: * p<0.1, ** p<0.05, *** p<0.01","ln(housing unit price per m2, yuan/m2) of resale apartment (log of price per m2)",per_m2,OLS,333269.0,0.925,se,"Housing-level first-stage hedonic (Eq. 1): Lianjia resale apartment transactions, Beijing, 2013Q4-2019Q4, with community and quarter fixed effects; dependent variable is log of price per m2; adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,PM2.5,air_pollution,E_environment,level,ug/m3,-0.00074,5.64e-05,,,***,,,high,"Quarterly mean PM2.5 concentration, kriged to community; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,PM2.5,air_pollution,E_environment,level,ug/m3,-0.000104,1.83e-05,,,***,,,high,"Quarterly mean PM2.5 concentration, kriged to community; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,PM2.5,air_pollution,E_environment,level,ug/m3,-0.000852,4.89e-05,,,***,,,high,"Quarterly mean PM2.5 concentration, kriged to community; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,School,school_distance,D_location,log,m,0.00109,0.00152,,,,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,School,school_distance,D_location,log,m,-0.0005,0.000621,,,,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,School,school_distance,D_location,log,m,-0.000619,0.000639,,,,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,Hospital,hospital_distance,D_location,log,m,0.00259,0.00193,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,Hospital,hospital_distance,D_location,log,m,9.56e-06,0.00149,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,Hospital,hospital_distance,D_location,log,m,-9.38e-05,0.00153,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,Park,green_space,E_environment,log,m,-0.00214,0.00207,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,Park,green_space,E_environment,log,m,-0.000844,0.00128,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,Park,green_space,E_environment,log,m,-0.000768,0.00132,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,Shopping mall,commercial_distance,D_location,log,m,0.00255,0.00236,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,Shopping mall,commercial_distance,D_location,log,m,-0.000897,0.00117,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,Shopping mall,commercial_distance,D_location,log,m,-0.000798,0.0012,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,Farmer’s market,commercial_distance,D_location,log,m,0.00031,0.00185,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,Farmer’s market,commercial_distance,D_location,log,m,0.000366,0.000826,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,Farmer’s market,commercial_distance,D_location,log,m,0.000478,0.00085,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,0.0113,0.00195,,,***,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,-0.00154,0.000812,,,*,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,-0.00136,0.000834,,,,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.00384,0.00185,,,**,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.000859,0.000733,,,,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.000895,0.000753,,,,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,Population,density,F_neighbourhood,log,per_km2,0.19,0.00186,,,***,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,Population,density,F_neighbourhood,log,per_km2,-0.00397,0.00439,,,,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,Population,density,F_neighbourhood,log,per_km2,-0.0041,0.00452,,,,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,D_Bus stop,transit_distance,D_location,log,m,0.00146,0.00195,,,,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,D_Bus stop,transit_distance,D_location,log,m,-0.00187,0.00108,,,*,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,D_Bus stop,transit_distance,D_location,log,m,-0.002,0.00111,,,*,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,D_Metro station,transit_distance,D_location,log,m,0.00111,0.00239,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c2,3,2,14,D_Metro station,transit_distance,D_location,log,m,-0.000214,0.00229,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c3,3,3,14,D_Metro station,transit_distance,D_location,log,m,-0.00012,0.00235,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.83,se,"(4) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T3-c1,3,1,14,D_CBD,cbd_distance,D_location,log,m,-0.0162,0.00241,,,***,,,high,"log distance (m) to nearest urban centre/subcentre (time-invariant; dropped in FE models); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.458,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); main models; year FE in all, community FE in FE/FE2sls (PM2.5 instrumented by thermal inversions); adjusted R2; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,AQI,air_pollution,E_environment,level,index,-0.000415,6.61e-05,,,***,,,high,"Quarterly mean air quality index (composite of 6 pollutants); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,AQI,air_pollution,E_environment,level,index,-0.000184,2.21e-05,,,***,,,high,"Quarterly mean air quality index (composite of 6 pollutants); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,AQI,air_pollution,E_environment,level,index,-0.00117,7.79e-05,,,***,,,high,"Quarterly mean air quality index (composite of 6 pollutants); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,School,school_distance,D_location,log,m,0.00111,0.00152,,,,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,School,school_distance,D_location,log,m,-0.000475,0.000621,,,,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,School,school_distance,D_location,log,m,-0.000552,0.000659,,,,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,Hospital,hospital_distance,D_location,log,m,0.00262,0.00193,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,Hospital,hospital_distance,D_location,log,m,2.64e-05,0.00149,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,Hospital,hospital_distance,D_location,log,m,-0.000113,0.00158,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,Park,green_space,E_environment,log,m,-0.00224,0.00208,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,Park,green_space,E_environment,log,m,-0.000873,0.00128,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,Park,green_space,E_environment,log,m,-0.00077,0.00136,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,Shopping mall,commercial_distance,D_location,log,m,0.00244,0.00237,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,Shopping mall,commercial_distance,D_location,log,m,-0.000918,0.00117,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,Shopping mall,commercial_distance,D_location,log,m,-0.000873,0.00124,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,Farmer’s market,commercial_distance,D_location,log,m,0.000272,0.00185,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,Farmer’s market,commercial_distance,D_location,log,m,0.000334,0.000825,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,Farmer’s market,commercial_distance,D_location,log,m,0.000444,0.000877,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,0.0112,0.00196,,,***,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,-0.00157,0.000811,,,*,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,-0.00145,0.00086,,,*,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.00372,0.00185,,,**,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.000822,0.000732,,,,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.000985,0.000776,,,,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,Population,density,F_neighbourhood,log,per_km2,0.191,0.00187,,,***,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,Population,density,F_neighbourhood,log,per_km2,-0.00392,0.00439,,,,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,Population,density,F_neighbourhood,log,per_km2,-0.00387,0.00466,,,,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,D_Bus stop,transit_distance,D_location,log,m,0.00143,0.00196,,,,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,D_Bus stop,transit_distance,D_location,log,m,-0.00182,0.00108,,,*,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,D_Bus stop,transit_distance,D_location,log,m,-0.00196,0.00114,,,*,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,D_Metro station,transit_distance,D_location,log,m,0.00106,0.0024,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c2,9,2,19,D_Metro station,transit_distance,D_location,log,m,-0.00022,0.00229,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,33538.0,0.839,se,"(2) FE; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c3,9,3,19,D_Metro station,transit_distance,D_location,log,m,-0.000283,0.00242,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,0.819,se,"(3) FE2sls; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T9-c1,9,1,19,D_CBD,cbd_distance,D_location,log,m,-0.0162,0.00241,,,***,,,high,"log distance (m) to nearest urban centre/subcentre (time-invariant; dropped in FE models); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,33538.0,0.455,se,"(1) OLS; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); robustness with AQI instead of PM2.5; SE clustered at community level"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,PM2.5,air_pollution,E_environment,level,ug/m3,-0.000717,8.53e-05,,,***,,,high,"Quarterly mean PM2.5 concentration, kriged to community; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,PM2.5,air_pollution,E_environment,level,ug/m3,-9.75e-05,2.57e-05,,,***,,,high,"Quarterly mean PM2.5 concentration, kriged to community; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,PM2.5,air_pollution,E_environment,level,ug/m3,-0.000832,7.29e-05,,,***,,,high,"Quarterly mean PM2.5 concentration, kriged to community; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,AQI,air_pollution,E_environment,level,index,-0.00117,0.000114,,,***,,,high,"Quarterly mean air quality index (composite of 6 pollutants); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,School,school_distance,D_location,log,m,-0.00165,0.0023,,,,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,School,school_distance,D_location,log,m,-0.0018,0.000885,,,**,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,School,school_distance,D_location,log,m,-0.00175,0.000911,,,*,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,School,school_distance,D_location,log,m,-0.00172,0.000939,,,*,,,high,"log distance (m) to nearest school; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,Hospital,hospital_distance,D_location,log,m,0.00256,0.00286,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,Hospital,hospital_distance,D_location,log,m,-0.000151,0.00229,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,Hospital,hospital_distance,D_location,log,m,-7.01e-05,0.00236,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,Hospital,hospital_distance,D_location,log,m,2.55e-05,0.00243,,,,,,high,"log distance (m) to nearest hospital; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,Park,green_space,E_environment,log,m,-0.00305,0.00289,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,Park,green_space,E_environment,log,m,-0.000518,0.0017,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,Park,green_space,E_environment,log,m,-0.0003,0.00175,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,Park,green_space,E_environment,log,m,-0.000374,0.0018,,,,,,high,"log distance (m) to nearest city park; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,Shopping mall,commercial_distance,D_location,log,m,-0.0026,0.00355,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,Shopping mall,commercial_distance,D_location,log,m,-0.00185,0.00163,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,Shopping mall,commercial_distance,D_location,log,m,-0.00171,0.00168,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,Shopping mall,commercial_distance,D_location,log,m,-0.00181,0.00173,,,,,,high,"log distance (m) to nearest shopping mall; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,Farmer’s market,commercial_distance,D_location,log,m,-0.00509,0.00267,,,*,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,Farmer’s market,commercial_distance,D_location,log,m,-0.000803,0.00115,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,Farmer’s market,commercial_distance,D_location,log,m,-0.000657,0.00119,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,Farmer’s market,commercial_distance,D_location,log,m,-0.00075,0.00123,,,,,,high,"log distance (m) to nearest farmers' market; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,0.00914,0.00299,,,***,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,-0.0017,0.00119,,,,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,-0.00172,0.00123,,,,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,Leisure facilities,neighbourhood_amenities,F_neighbourhood,log,count,-0.00174,0.00127,,,,,,high,"log number of sport/leisure facilities within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.0141,0.0028,,,***,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.00156,0.00107,,,,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.00134,0.0011,,,,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,Basic services,neighbourhood_amenities,F_neighbourhood,log,count,0.00149,0.00113,,,,,,high,"log number of basic services (restaurant, post office...) within 1 km; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,Population,density,F_neighbourhood,log,per_km2,0.233,0.00326,,,***,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,Population,density,F_neighbourhood,log,per_km2,0.00111,0.00624,,,,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,Population,density,F_neighbourhood,log,per_km2,2.2e-05,0.00642,,,,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,Population,density,F_neighbourhood,log,per_km2,0.00131,0.00662,,,,,,high,"log population density (people/km2); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,D_Bus stop,transit_distance,D_location,log,m,-0.00194,0.00301,,,,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,D_Bus stop,transit_distance,D_location,log,m,-0.00205,0.00154,,,,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,D_Bus stop,transit_distance,D_location,log,m,-0.00243,0.00158,,,,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,D_Bus stop,transit_distance,D_location,log,m,-0.00232,0.00163,,,,,,high,"log distance (m) to nearest bus stop; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,D_Metro station,transit_distance,D_location,log,m,0.0333,0.00361,,,***,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c2,10,2,20,D_Metro station,transit_distance,D_location,log,m,-0.000692,0.00311,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,FE_panel,15656.0,0.852,se,"(2) FE PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c3,10,3,20,D_Metro station,transit_distance,D_location,log,m,-0.000271,0.00319,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.843,se,"(3) FE2sls PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c4,10,4,20,D_Metro station,transit_distance,D_location,log,m,-0.00028,0.00329,,,,,,high,"log distance (m) to nearest metro station; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,15656.0,0.833,se,"(4) FE2sls AQI; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T10-c1,10,1,20,D_CBD,cbd_distance,D_location,log,m,-0.0287,0.00362,,,***,,,high,"log distance (m) to nearest urban centre/subcentre (time-invariant; dropped in FE models); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,OLS,15656.0,0.45,se,"(1) OLS PM2.5; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); subsample of communities within 3 km of an air monitoring station; column 4 uses AQI; parentheses = standard errors (clustering not stated in this table note)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T4-c1,4,1,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.0141,0.00039,,,***,,,high,"Quarterly mean PM2.5; IV quantile regression (magnitude much larger than Table 3; printed as is); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,quantile,33538.0,,se,"IV quantile regression, quantile Q25; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); other variables controlled but not reported"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T4-c2,4,2,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.0151,0.00033,,,***,,,high,"Quarterly mean PM2.5; IV quantile regression (magnitude much larger than Table 3; printed as is); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,quantile,33538.0,,se,"IV quantile regression, quantile Q50; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); other variables controlled but not reported"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T4-c3,4,3,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.0168,0.00028,,,***,,,high,"Quarterly mean PM2.5; IV quantile regression (magnitude much larger than Table 3; printed as is); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,quantile,33538.0,,se,"IV quantile regression, quantile Q75; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); other variables controlled but not reported"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T4-c4,4,4,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.0189,0.00031,,,***,,,high,"Quarterly mean PM2.5; IV quantile regression (magnitude much larger than Table 3; printed as is); stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,quantile,33538.0,,se,"IV quantile regression, quantile Q90; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); other variables controlled but not reported"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T5-c1,5,1,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.00111,0.000176,,,***,,,high,"Quarterly mean PM2.5; communities within Ring2; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,333269.0,,se,"FE2sls stratified by ring road (Ring2); AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); N per ring not printed"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T5-c2,5,2,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.000867,9.32e-05,,,***,,,high,"Quarterly mean PM2.5; communities within Ring3; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,333269.0,,se,"FE2sls stratified by ring road (Ring3); AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); N per ring not printed"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T5-c3,5,3,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.00104,0.000106,,,***,,,high,"Quarterly mean PM2.5; communities within Ring4; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,333269.0,,se,"FE2sls stratified by ring road (Ring4); AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); N per ring not printed"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T5-c4,5,4,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.000774,0.000124,,,***,,,high,"Quarterly mean PM2.5; communities within Ring5; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,333269.0,,se,"FE2sls stratified by ring road (Ring5); AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); N per ring not printed"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T5-c5,5,5,15,PM2.5,air_pollution,E_environment,level,ug/m3,-0.000622,8.09e-05,,,***,,,high,"Quarterly mean PM2.5; communities within Ring6; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,333269.0,,se,"FE2sls stratified by ring road (Ring6); AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5); N per ring not printed"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T6-c1,6,1,16,PM2.5 (2013 baseline),air_pollution,E_environment,level,ug/m3,-0.00232,4.1e-05,,,***,,,high,"Base-year 2013 PM2.5 coefficient; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,,se,"Dynamic-effects model (Eq. 6) with PM2.5 x year interactions, 2013 base; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T6-c1,6,1,16,PM2.5 x Year2014,air_pollution,E_environment,other,ug/m3,-0.00329,3.9e-05,,,***,,,high,"Interaction PM2.5 x year 2014 dummy: change in PM2.5 effect relative to 2013; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,,se,"Dynamic-effects model (Eq. 6) with PM2.5 x year interactions, 2013 base; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T6-c1,6,1,16,PM2.5 x Year2015,air_pollution,E_environment,other,ug/m3,-0.00341,4.1e-05,,,***,,,high,"Interaction PM2.5 x year 2015 dummy: change in PM2.5 effect relative to 2013; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,,se,"Dynamic-effects model (Eq. 6) with PM2.5 x year interactions, 2013 base; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T6-c1,6,1,16,PM2.5 x Year2016,air_pollution,E_environment,other,ug/m3,-0.00217,5e-05,,,***,,,high,"Interaction PM2.5 x year 2016 dummy: change in PM2.5 effect relative to 2013; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,,se,"Dynamic-effects model (Eq. 6) with PM2.5 x year interactions, 2013 base; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T6-c1,6,1,16,PM2.5 x Year2017,air_pollution,E_environment,other,ug/m3,0.00078,4.8e-05,,,***,,,high,"Interaction PM2.5 x year 2017 dummy: change in PM2.5 effect relative to 2013; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,,se,"Dynamic-effects model (Eq. 6) with PM2.5 x year interactions, 2013 base; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T6-c1,6,1,16,PM2.5 x Year2018,air_pollution,E_environment,other,ug/m3,0.000134,6e-05,,,**,,,high,"Interaction PM2.5 x year 2018 dummy: change in PM2.5 effect relative to 2013; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,,se,"Dynamic-effects model (Eq. 6) with PM2.5 x year interactions, 2013 base; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5)"
54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46,54da27518406c538ad01d44349b80f8a974bfe46:T6-c1,6,1,16,PM2.5 x Year2019,air_pollution,E_environment,other,ug/m3,0.00014,7.1e-05,,,**,,,high,"Interaction PM2.5 x year 2019 dummy: change in PM2.5 effect relative to 2013; stars: * p<0.1, ** p<0.05, *** p<0.01","ln community price index (lnCP, community x quarter)",log,IV,33538.0,,se,"Dynamic-effects model (Eq. 6) with PM2.5 x year interactions, 2013 base; AGGREGATE second stage: unit of analysis = community x quarter panel (N=33,538), dependent variable is the community-quarter log price index (lnCP) from the first-stage hedonic; accessibility/neighbourhood variables enter in logs (Eqs. 2-5)"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Area,living_area,A_structural,level,m2,0.01,,59.16,,***,,,high,Gross floor area; printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Area,living_area,A_structural,log,m2,1.008,,70.7,,***,,,high,Gross floor area; printed significance letter 'a',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Age,age,A_structural,level,years,-0.011,,-7.65,,***,,,high,2015 minus year of occupation permit; printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Age,age,A_structural,log,years,-0.153,,-11.26,,***,,,high,2015 minus year of occupation permit; printed significance letter 'a',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Local environment,other,other,level,index,0.068,,8.36,,***,,,high,"Environment quality of the residential complex, 5-point Likert; printed significance letter 'a'",ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Local environment,other,other,log,index,0.177,,7.94,,***,,,high,"Environment quality of the residential complex, 5-point Likert; printed significance letter 'a'",ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,School,school_quality,F_neighbourhood,binary,binary,0.089,,4.0,,***,,,high,Property within attendance zone of a provincial-level demonstration elementary school (xuequfang); printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,School,school_quality,F_neighbourhood,binary,binary,0.108,,5.45,,***,,,high,Property within attendance zone of a provincial-level demonstration elementary school (xuequfang); printed significance letter 'a',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Kindergarten,school_distance,D_location,binary,binary,0.009,,0.47,,,,,high,At least one kindergarten within 500 m; printed significance letter 'c',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Kindergarten,school_distance,D_location,binary,binary,-0.011,,-0.68,,,,,high,At least one kindergarten within 500 m; printed significance letter 'c',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Middle school,school_distance,D_location,binary,binary,-0.001,,-0.06,,,,,high,"At least one middle school within 1,000 m; printed significance letter 'c'",ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Middle school,school_distance,D_location,binary,binary,0.032,,1.91,,,,,high,"At least one middle school within 1,000 m; printed significance letter 'c'",ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Xiamen University,university_distance,D_location,binary,binary,0.206,,3.45,,***,,,high,"Xiamen University within 1,000 m; printed significance letter 'a'",ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Xiamen University,university_distance,D_location,binary,binary,0.144,,3.04,,***,,,high,"Xiamen University within 1,000 m; printed significance letter 'a'",ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,BRT,transit_distance,D_location,binary,binary,0.077,,4.72,,***,,,high,BRT station within 800 m; printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,BRT,transit_distance,D_location,binary,binary,0.1,,6.85,,***,,,high,BRT station within 800 m; printed significance letter 'a',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Distance to hospital,hospital_distance,D_location,level,km,0.047,,4.41,,***,,,high,Euclidean distance to nearest Class 2A/3A hospital; printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Distance to hospital,hospital_distance,D_location,log,km,0.018,,2.13,,**,,,high,Euclidean distance to nearest Class 2A/3A hospital; printed significance letter 'b',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Distance to cultural/sports center,neighbourhood_amenities,F_neighbourhood,level,km,-0.057,,-5.04,,***,,,high,Euclidean distance to nearest cultural/sports centre; printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Distance to cultural/sports center,neighbourhood_amenities,F_neighbourhood,log,km,-0.049,,-5.25,,***,,,high,Euclidean distance to nearest cultural/sports centre; printed significance letter 'a',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Distance to city center,cbd_distance,D_location,level,km,-0.021,,-6.04,,***,,,high,Euclidean distance to Zhongshan Road; printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Distance to city center,cbd_distance,D_location,log,km,-0.077,,-6.36,,***,,,high,Euclidean distance to Zhongshan Road; printed significance letter 'a',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c1,2,1,10,Distance to lake,water_proximity,E_environment,level,km,-0.072,,-6.06,,***,,,high,Euclidean distance to nearest lake; printed significance letter 'a',ln(price),log,OLS,1250.0,0.801,t,Semi-log model; adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T2-c2,2,2,10,Distance to lake,water_proximity,E_environment,log,km,-0.051,,-5.95,,***,,,high,Euclidean distance to nearest lake; printed significance letter 'a',ln(price),log,OLS,1250.0,0.85,t,Double-log model (continuous regressors in logs); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Area,living_area,A_structural,level,m2,0.055,,63.53,,***,,,high,Gross floor area; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Area,living_area,A_structural,other,m2,1.429,,59.11,,***,,,high,Gross floor area; regressor Box-Cox transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Area,living_area,A_structural,other,m2,1.035,,70.56,,***,,,high,Gross floor area; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Area,living_area,A_structural,other,m2,0.833,,70.52,,***,,,high,Gross floor area; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Age,age,A_structural,level,years,-0.074,,-9.3,,***,,,high,2015 minus year of occupation permit; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Age,age,A_structural,other,years,-3.044,,-10.17,,***,,,high,2015 minus year of occupation permit; regressor Box-Cox transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Age,age,A_structural,other,years,-0.169,,-11.32,,***,,,high,2015 minus year of occupation permit; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Age,age,A_structural,other,years,-0.151,,-11.2,,***,,,high,2015 minus year of occupation permit; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Local environment,other,other,level,index,0.434,,9.36,,***,,,high,"Environment quality of the residential complex, 5-point Likert; printed significance letter 'a'","Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Local environment,other,other,other,index,16.629,,8.05,,***,,,high,"Environment quality of the residential complex, 5-point Likert; regressor Box-Cox transformed; printed significance letter 'a'",price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Local environment,other,other,other,index,0.203,,8.0,,***,,,high,"Environment quality of the residential complex, 5-point Likert; regressor Box-Cox transformed; printed significance letter 'a'","Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Local environment,other,other,other,index,0.195,,8.01,,***,,,high,"Environment quality of the residential complex, 5-point Likert; regressor Box-Cox transformed; printed significance letter 'a'","Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,School,school_quality,F_neighbourhood,binary,binary,0.616,,5.14,,***,,,high,Property within attendance zone of a provincial-level demonstration elementary school (xuequfang); dummy not transformed; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,School,school_quality,F_neighbourhood,binary,binary,36.359,,5.9,,***,,,high,Property within attendance zone of a provincial-level demonstration elementary school (xuequfang); dummy not transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,School,school_quality,F_neighbourhood,binary,binary,0.128,,5.48,,,,,medium,"Property within attendance zone of a provincial-level demonstration elementary school (xuequfang); dummy not transformed; printed significance letter 'c' (inconsistent with t-value, as printed)","Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,School,school_quality,F_neighbourhood,binary,binary,0.129,,5.46,,,,,medium,"Property within attendance zone of a provincial-level demonstration elementary school (xuequfang); dummy not transformed; printed significance letter 'c' (inconsistent with t-value, as printed)","Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Kindergarten,school_distance,D_location,binary,binary,-0.005,,-0.05,,,,,high,At least one kindergarten within 500 m; dummy not transformed; printed significance letter 'c',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Kindergarten,school_distance,D_location,binary,binary,-4.621,,-0.88,,,,,high,At least one kindergarten within 500 m; dummy not transformed; printed significance letter 'c',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Kindergarten,school_distance,D_location,binary,binary,-0.013,,-0.7,,,,,high,At least one kindergarten within 500 m; dummy not transformed; printed significance letter 'c',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Kindergarten,school_distance,D_location,binary,binary,-0.013,,-0.67,,,,,high,At least one kindergarten within 500 m; dummy not transformed; printed significance letter 'c',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Middle school,school_distance,D_location,binary,binary,0.029,,0.28,,,,,high,"At least one middle school within 1,000 m; dummy not transformed; printed significance letter 'c'; coefficient printed '0.029a' with t-value letter 'c'","Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Middle school,school_distance,D_location,binary,binary,4.011,,0.76,,,,,high,"At least one middle school within 1,000 m; dummy not transformed; printed significance letter 'c'",price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Middle school,school_distance,D_location,binary,binary,0.036,,1.84,,***,,,medium,"At least one middle school within 1,000 m; dummy not transformed; printed significance letter 'a' (inconsistent with t-value, as printed)","Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Middle school,school_distance,D_location,binary,binary,0.033,,1.7,,***,,,medium,"At least one middle school within 1,000 m; dummy not transformed; printed significance letter 'a' (inconsistent with t-value, as printed)","Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Xiamen University,university_distance,D_location,binary,binary,0.99,,3.09,,**,,,high,"Xiamen University within 1,000 m; dummy not transformed; printed significance letter 'b'","Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Xiamen University,university_distance,D_location,binary,binary,42.604,,2.53,,**,,,high,"Xiamen University within 1,000 m; dummy not transformed; printed significance letter 'b'",price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Xiamen University,university_distance,D_location,binary,binary,0.17,,3.04,,***,,,high,"Xiamen University within 1,000 m; dummy not transformed; printed significance letter 'a'","Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Xiamen University,university_distance,D_location,binary,binary,0.172,,3.03,,***,,,high,"Xiamen University within 1,000 m; dummy not transformed; printed significance letter 'a'","Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,BRT,transit_distance,D_location,binary,binary,0.429,,4.93,,***,,,high,BRT station within 800 m; dummy not transformed; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,BRT,transit_distance,D_location,binary,binary,19.596,,4.38,,***,,,high,BRT station within 800 m; dummy not transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,BRT,transit_distance,D_location,binary,binary,0.117,,6.81,,***,,,high,BRT station within 800 m; dummy not transformed; printed significance letter 'a',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,BRT,transit_distance,D_location,binary,binary,0.116,,6.72,,***,,,high,BRT station within 800 m; dummy not transformed; printed significance letter 'a',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Distance to hospital,hospital_distance,D_location,level,km,0.252,,4.47,,***,,,high,Euclidean distance to nearest Class 2A/3A hospital; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Distance to hospital,hospital_distance,D_location,other,km,11.195,,4.06,,***,,,high,Euclidean distance to nearest Class 2A/3A hospital; regressor Box-Cox transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Distance to hospital,hospital_distance,D_location,other,km,0.022,,2.16,,**,,,high,Euclidean distance to nearest Class 2A/3A hospital; regressor Box-Cox transformed; printed significance letter 'b',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Distance to hospital,hospital_distance,D_location,other,km,0.023,,2.21,,**,,,high,Euclidean distance to nearest Class 2A/3A hospital; regressor Box-Cox transformed; printed significance letter 'b',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Distance to cultural/sports center,neighbourhood_amenities,F_neighbourhood,level,km,-0.294,,-4.71,,***,,,high,Euclidean distance to nearest cultural/sports centre; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Distance to cultural/sports center,neighbourhood_amenities,F_neighbourhood,other,km,-12.988,,-4.16,,***,,,high,Euclidean distance to nearest cultural/sports centre; regressor Box-Cox transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Distance to cultural/sports center,neighbourhood_amenities,F_neighbourhood,other,km,-0.059,,-5.31,,***,,,high,Euclidean distance to nearest cultural/sports centre; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Distance to cultural/sports center,neighbourhood_amenities,F_neighbourhood,other,km,-0.062,,-5.39,,***,,,high,Euclidean distance to nearest cultural/sports centre; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Distance to city center,cbd_distance,D_location,level,km,-0.134,,-7.26,,***,,,high,Euclidean distance to Zhongshan Road; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Distance to city center,cbd_distance,D_location,other,km,-5.477,,-7.12,,***,,,high,Euclidean distance to Zhongshan Road; regressor Box-Cox transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Distance to city center,cbd_distance,D_location,other,km,-0.088,,-6.37,,***,,,high,Euclidean distance to Zhongshan Road; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Distance to city center,cbd_distance,D_location,other,km,-0.084,,-6.28,,***,,,high,Euclidean distance to Zhongshan Road; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c1,3,1,12,Distance to lake,water_proximity,E_environment,level,km,-0.345,,-5.42,,***,,,high,Euclidean distance to nearest lake; printed significance letter 'a',"Box-Cox(price), lambda = 0.317",boxcox,other,1250.0,0.826,t,Simple left-hand-side Box-Cox model; adjusted R2; ML Box-Cox
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c2,3,2,12,Distance to lake,water_proximity,E_environment,other,km,-10.734,,-3.32,,***,,,high,Euclidean distance to nearest lake; regressor Box-Cox transformed; printed significance letter 'a',price (untransformed),level,other,1250.0,0.806,t,"Simple right-hand-side Box-Cox model (regressors transformed, lambda = 1.128); adjusted R2"
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c3,3,3,12,Distance to lake,water_proximity,E_environment,other,km,-0.061,,-5.99,,***,,,high,Euclidean distance to nearest lake; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), common lambda = 0.030",boxcox,other,1250.0,0.851,t,Simple both-side Box-Cox model (same lambda both sides); adjusted R2
58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955,58a9ab2513035056fdc6d56cafc04ae9d61a0955:T3-c4,3,4,12,Distance to lake,water_proximity,E_environment,other,km,-0.063,,-5.99,,***,,,high,Euclidean distance to nearest lake; regressor Box-Cox transformed; printed significance letter 'a',"Box-Cox(price), LHS lambda = 0.032",boxcox,other,1250.0,0.851,t,Separate both-side Box-Cox model (RHS lambda = 0.080); adjusted R2
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c2,5,2,21,CondAverage,image_condition,H_ai_derived,level,"index (1-5 condition scale, room average)",0.087,,,,***,,,high,"Computer-vision average condition across rooms, continuous 1-5",ln(sales price per m2),log,OLS,12084.0,0.6952,none,Average condition (continuous); year x quarter FE + district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c4,5,4,21,CondAverage,image_condition,H_ai_derived,level,"index (1-5 condition scale, room average)",0.082,,,,***,,,high,"Computer-vision average condition across rooms, continuous 1-5",ln(sales price per m2),log,OLS,12084.0,0.771,none,Average condition (continuous); year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.062,,,,**,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.057,,,,**,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.05,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.041,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.011,,,,***,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.014,,,,***,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.027,,,,***,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.025,,,,***,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.099,,,,***,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.087,,,,***,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBed = 2,image_condition,H_ai_derived,dummy,binary,-0.043,,,,***,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBed = 2,image_condition,H_ai_derived,dummy,binary,-0.031,,,,***,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBed = 3,image_condition,H_ai_derived,dummy,binary,-0.004,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBed = 3,image_condition,H_ai_derived,dummy,binary,-0.003,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.136,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.145,,,,*,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,-0.045,,,,**,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,-0.039,,,,**,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.011,,,,***,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.01,,,,***,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.021,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,-0.015,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.172,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.181,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.087,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.091,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.036,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.037,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c1,5,1,21,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.079,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.6981,none,Room-specific condition dummies; year x quarter FE + city district FE; R2 is adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T5-c3,5,3,21,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.078,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.772,none,Room-specific condition dummies; year x quarter FE + postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.048,,,,*,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondBath = 1,image_condition,H_ai_derived,dummy,binary,0.051,,,,,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.054,,,,*,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.188,,,,***,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.068,,,,***,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.03,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.01,,,,,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.034,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.047,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.042,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.02,,,,***,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondBath = 3,image_condition,H_ai_derived,dummy,binary,0.011,,,,**,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.01,,,,*,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.021,,,,***,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.014,,,,***,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.024,,,,**,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.017,,,,,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.03,,,,**,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.007,,,,,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.023,,,,***,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.053,,,,**,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.016,,,,,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.157,,,,,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.083,,,,***,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBed = 2,image_condition,H_ai_derived,dummy,binary,-0.031,,,,***,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondBed = 2,image_condition,H_ai_derived,dummy,binary,0.012,,,,,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBed = 2,image_condition,H_ai_derived,dummy,binary,0.011,,,,,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBed = 2,image_condition,H_ai_derived,dummy,binary,-0.047,,,,,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBed = 2,image_condition,H_ai_derived,dummy,binary,-0.038,,,,***,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBed = 3,image_condition,H_ai_derived,dummy,binary,-0.017,,,,***,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondBed = 3,image_condition,H_ai_derived,dummy,binary,0.0,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBed = 3,image_condition,H_ai_derived,dummy,binary,0.01,,,,*,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBed = 3,image_condition,H_ai_derived,dummy,binary,0.003,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBed = 3,image_condition,H_ai_derived,dummy,binary,-0.002,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.009,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.067,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.126,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.11,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.146,,,,*,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,-0.022,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,-0.015,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,0.001,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,0.001,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,-0.036,,,,**,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.015,,,,***,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.007,,,,,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.009,,,,,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.009,,,,,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.01,,,,***,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,-0.057,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.02,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.034,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.017,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,-0.013,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.079,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.17,,,,,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.184,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.186,,,,,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.148,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.059,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.025,,,,,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.089,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.055,,,,*,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.077,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.021,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.009,,,,,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.04,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.033,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.031,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c1,6,1 Cheap homes,22,CondKit = 5,image_condition,H_ai_derived,dummy,binary,-0.006,,,,,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.714,none,Lowest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c2,6,2 Expensive homes,22,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.042,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.283,none,Highest transaction-price quartile; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c3,6,3 Few pictures,22,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.083,,,,**,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.861,none,Quartile with fewest listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c4,6,4 Many pictures,22,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.061,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.694,none,Quartile with most listing images; postal code FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T6-c5,6,5 Full,22,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.076,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.756,none,Full sample with postal code FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.034,,,,,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondBath = 1,image_condition,H_ai_derived,dummy,binary,0.01,,,,,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.05,,,,,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.218,,,,***,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBath = 1,image_condition,H_ai_derived,dummy,binary,-0.062,,,,**,,,high,Computer-vision bathroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.039,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.019,,,,,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.043,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.051,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBath = 2,image_condition,H_ai_derived,dummy,binary,-0.049,,,,***,,,high,Computer-vision bathroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.007,,,,,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondBath = 3,image_condition,H_ai_derived,dummy,binary,0.01,,,,**,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.01,,,,*,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.022,,,,***,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBath = 3,image_condition,H_ai_derived,dummy,binary,-0.012,,,,***,,,high,Computer-vision bathroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.013,,,,,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.021,,,,*,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.036,,,,**,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.004,,,,,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBath = 5,image_condition,H_ai_derived,dummy,binary,0.026,,,,***,,,high,Computer-vision bathroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.0504,,,,*,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.016,,,,,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.222,,,,,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBed = 1,image_condition,H_ai_derived,dummy,binary,-0.095,,,,***,,,high,Computer-vision bedroom condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBed = 2,image_condition,H_ai_derived,dummy,binary,0.035,,,,***,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondBed = 2,image_condition,H_ai_derived,dummy,binary,0.022,,,,,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBed = 2,image_condition,H_ai_derived,dummy,binary,0.01,,,,,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBed = 2,image_condition,H_ai_derived,dummy,binary,-0.07,,,,*,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBed = 2,image_condition,H_ai_derived,dummy,binary,-0.041,,,,***,,,high,Computer-vision bedroom condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBed = 3,image_condition,H_ai_derived,dummy,binary,-0.023,,,,***,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondBed = 3,image_condition,H_ai_derived,dummy,binary,0.002,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBed = 3,image_condition,H_ai_derived,dummy,binary,0.009,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBed = 3,image_condition,H_ai_derived,dummy,binary,-0.003,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBed = 3,image_condition,H_ai_derived,dummy,binary,-0.003,,,,,,,high,Computer-vision bedroom condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.035,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.042,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.119,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.132,,,,,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondBed = 5,image_condition,H_ai_derived,dummy,binary,0.146,,,,*,,,high,Computer-vision bedroom condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,-0.03,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,0.008,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,0.013,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,0.01,,,,,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondLiv = 2,image_condition,H_ai_derived,dummy,binary,-0.044,,,,**,,,high,Computer-vision living room condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.013,,,,***,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.008,,,,,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.012,,,,**,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.004,,,,,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondLiv = 3,image_condition,H_ai_derived,dummy,binary,-0.01,,,,***,,,high,Computer-vision living room condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.013,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.005,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.033,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.051,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondLiv = 5,image_condition,H_ai_derived,dummy,binary,0.018,,,,,,,high,Computer-vision living room condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.083,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.157,,,,,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.191,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.419,,,,,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondKit = 1,image_condition,H_ai_derived,dummy,binary,-0.168,,,,***,,,high,Computer-vision kitchen condition level 1 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.059,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.024,,,,,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.085,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.077,,,,**,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondKit = 2,image_condition,H_ai_derived,dummy,binary,-0.083,,,,***,,,high,Computer-vision kitchen condition level 2 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.022,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.012,,,,**,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.037,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.034,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondKit = 3,image_condition,H_ai_derived,dummy,binary,-0.034,,,,***,,,high,Computer-vision kitchen condition level 3 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c1,7,1 Cheap homes,31,CondKit = 5,image_condition,H_ai_derived,dummy,binary,-0.029,,,,,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.608,none,Appendix: lowest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c2,7,2 Expensive homes,31,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.052,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3926.0,0.141,none,Appendix: highest price quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c3,7,3 Few pictures,31,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.089,,,,,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3110.0,0.825,none,Appendix: fewest images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c4,7,4 Many pictures,31,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.066,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,3105.0,0.592,none,Appendix: most images quartile; district FE; R2 adjusted
5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4,5bcd886348a12f52aa055354a9647ba5c4fa64c4:T7-c5,7,5 Full,31,CondKit = 5,image_condition,H_ai_derived,dummy,binary,0.081,,,,***,,,high,Computer-vision kitchen condition level 5 dummy; reference level 4,ln(sales price per m2),log,OLS,15702.0,0.707,none,Appendix: full sample; district FE + broker FE; R2 adjusted
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,air distance,transit_distance,D_location,level,m,-53.84791,19.80832,-2.72,0.007,,-92.74359,-14.95222,high,"air (Euclidean) distance to nearest metro station in metres, within 500 m radius; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,age,age,A_structural,level,years,-3856.095,241.4267,-15.97,0.0,,-4330.161,-3382.029,high,"age of building in years; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,size,living_area,A_structural,level,m2,612.0502,158.6117,3.86,0.0,,,923.5007,medium,"floor area in m2; printed lower CI bound (8,559.484) is a typesetting error duplicating the 'rooms' value, so ci_lo not recorded; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,rooms,bedrooms,A_structural,level,count,18641.78,5134.587,3.63,0.0,,8559.484,28724.07,high,"number of rooms in the housing unit; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,baths,bathrooms,A_structural,level,count,23672.19,6665.66,3.55,0.0,,10583.47,36760.9,high,"number of bathrooms; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,alaturka,other,other,dummy,binary,14625.76,4799.835,3.05,0.002,,5200.786,24050.73,high,"1 if the unit has an alaturka (squat) toilet; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,corner,other,other,dummy,binary,-25102.66,10815.1,-2.32,0.021,,-46339.24,-3866.091,high,"1 if building located at a corner (dual facade); Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,south,sunlight,E_environment,dummy,binary,-22210.63,10416.01,-2.13,0.033,,-42663.55,-1757.709,high,"1 if unit has a south facade; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,west,sunlight,E_environment,dummy,binary,-20810.5,11364.87,-1.83,0.068,,-43126.59,1505.596,high,"1 if unit has a west facade; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,north,sunlight,E_environment,dummy,binary,-19716.2,14065.37,-1.4,0.161,,-47335.01,7902.614,high,"1 if unit has a north facade; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697,5bed224cb10ce261eda55857ae903598b9f96697:T2-c1,2,1,6,elevator,accessibility,B_interior,dummy,binary,22008.68,4815.631,4.57,0.0,,12552.69,31464.67,high,"1 if building has an elevator; Stata-style output: Coef., Std. Err., t, P>|t|, 95% CI; dependent variable in Turkish lira levels","price_new (selling price of housing unit, Turkish lira)",level,OLS,665.0,0.5733,se,"Apartments within 500 m of 5 Esenler-Kirazli metro stations (control case), 2017 survey"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Area,living_area,A_structural,level,m2,0.008,,,,***,,,high,"floor area; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Area,living_area,A_structural,level,m2,0.008,,,,***,,,high,"floor area; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Area,living_area,A_structural,level,m2,0.007,,,,***,,,high,"floor area; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Area,living_area,A_structural,level,m2,0.008,,,,***,,,high,"floor area; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Area,living_area,A_structural,level,m2,0.007,,,,***,,,high,"floor area; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Area,living_area,A_structural,level,m2,0.006,,,,***,,,high,"floor area; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Area,living_area,A_structural,level,m2,0.004,,,,***,,,high,"floor area; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Area,living_area,A_structural,level,m2,0.004,,,,***,,,high,"floor area; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Well-furnished,condition,A_structural,dummy,binary,0.044,,,,**,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Well-furnished,condition,A_structural,dummy,binary,0.047,,,,***,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Well-furnished,condition,A_structural,dummy,binary,0.037,,,,**,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Well-furnished,condition,A_structural,dummy,binary,0.043,,,,***,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Well-furnished,condition,A_structural,dummy,binary,0.131,,,,***,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Well-furnished,condition,A_structural,dummy,binary,0.117,,,,***,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Well-furnished,condition,A_structural,dummy,binary,0.121,,,,*,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Well-furnished,condition,A_structural,dummy,binary,0.104,,,,*,,,high,"interior: well-furnished vs simply furnished (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Other,condition,A_structural,dummy,binary,-0.017,,,,,,,high,"interior: other vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Other,condition,A_structural,dummy,binary,0.018,,,,,,,high,"interior: other vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Other,condition,A_structural,dummy,binary,0.016,,,,,,,high,"interior: other vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Other,condition,A_structural,dummy,binary,0.021,,,,,,,high,"interior: other vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Other,condition,A_structural,dummy,binary,0.034,,,,*,,,high,"interior: other vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Other,condition,A_structural,dummy,binary,0.038,,,,**,,,high,"interior: other vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Other,condition,A_structural,dummy,binary,0.005,,,,,,,high,"interior: other vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Other,condition,A_structural,dummy,binary,0.003,,,,,,,high,"interior: other vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Rough housing,condition,A_structural,dummy,binary,0.023,,,,,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Rough housing,condition,A_structural,dummy,binary,0.065,,,,*,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Rough housing,condition,A_structural,dummy,binary,-0.013,,,,,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Rough housing,condition,A_structural,dummy,binary,-0.016,,,,,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Rough housing,condition,A_structural,dummy,binary,-0.135,,,,,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Rough housing,condition,A_structural,dummy,binary,-0.125,,,,,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Rough housing,condition,A_structural,dummy,binary,-0.81,,,,***,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Rough housing,condition,A_structural,dummy,binary,-0.76,,,,***,,,high,"interior: rough (unfinished) housing vs simply furnished; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.08,,,,***,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.104,,,,***,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.162,,,,***,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.188,,,,***,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.047,,,,**,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.041,,,,,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.071,,,,,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,High-rise buildings,storeys,A_structural,dummy,binary (building >10 floors),0.068,,,,,,,high,"total floors >10 vs medium-high building 7-9 floors (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),0.042,,,,*,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),0.049,,,,**,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),0.023,,,,,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),0.01,,,,,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),-0.007,,,,,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),-0.006,,,,,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),0.097,,,,*,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Multistory building,storeys,A_structural,dummy,binary (building 4-6 floors),0.083,,,,*,,,high,"total floors 4-6 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),-0.45,,,,***,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),-0.308,,,,***,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),-0.024,,,,,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),-0.075,,,,,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),0.041,,,,,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),0.059,,,,,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),0.168,,,,,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Low-rise building,storeys,A_structural,dummy,binary (building 1-3 floors),0.133,,,,,,,high,"total floors 1-3 vs 7-9 (reference); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Bedroom,bedrooms,A_structural,level,count,0.097,,,,***,,,high,"stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Bedroom,bedrooms,A_structural,level,count,0.091,,,,***,,,high,"stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Bedroom,bedrooms,A_structural,level,count,0.094,,,,***,,,high,"stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Bedroom,bedrooms,A_structural,level,count,0.065,,,,***,,,high,"stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Bedroom,bedrooms,A_structural,level,count,0.073,,,,***,,,high,"stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Bedroom,bedrooms,A_structural,level,count,0.084,,,,***,,,high,"stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Bedroom,bedrooms,A_structural,level,count,0.092,,,,***,,,high,"stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Bedroom,bedrooms,A_structural,level,count,0.085,,,,***,,,high,"stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Livingroom,other,other,level,count,0.156,,,,***,,,high,"number of living rooms; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Livingroom,other,other,level,count,0.146,,,,***,,,high,"number of living rooms; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Livingroom,other,other,level,count,0.131,,,,***,,,high,"number of living rooms; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Livingroom,other,other,level,count,0.137,,,,***,,,high,"number of living rooms; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Livingroom,other,other,level,count,0.179,,,,***,,,high,"number of living rooms; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Livingroom,other,other,level,count,0.175,,,,***,,,high,"number of living rooms; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Livingroom,other,other,level,count,0.151,,,,***,,,high,"number of living rooms; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Livingroom,other,other,level,count,0.162,,,,***,,,high,"number of living rooms; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Building Age,age,A_structural,level,years,-0.006,,,,***,,,high,"age of apartment building; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Building Age,age,A_structural,level,years,-0.007,,,,***,,,high,"age of apartment building; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Building Age,age,A_structural,level,years,-0.007,,,,***,,,high,"age of apartment building; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Building Age,age,A_structural,level,years,-0.006,,,,***,,,high,"age of apartment building; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Building Age,age,A_structural,level,years,-0.008,,,,***,,,high,"age of apartment building; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Building Age,age,A_structural,level,years,-0.008,,,,***,,,high,"age of apartment building; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Building Age,age,A_structural,level,years,-0.0004,,,,,,,high,"age of apartment building; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Building Age,age,A_structural,level,years,-0.001,,,,,,,high,"age of apartment building; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.016,,,,***,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.01,,,,*,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.021,,,,***,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.019,,,,***,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.009,,,,,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.005,,,,,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.044,,,,***,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Culture,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.041,,,,***,,,high,"number of libraries and culture centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.024,,,,,,,high,"number of sports centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.025,,,,,,,high,"number of sports centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.056,,,,**,,,high,"number of sports centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.063,,,,***,,,high,"number of sports centres within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,0.007,,,,,,,high,"number of sports centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,-0.0002,,,,,,,high,"number of sports centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,-0.034,,,,,,,high,"number of sports centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Sports,neighbourhood_amenities,F_neighbourhood,level,count within 1 km,-0.018,,,,,,,high,"number of sports centres within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,-0.017,,,,***,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,-0.011,,,,**,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,-0.01,,,,,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,-0.012,,,,,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,-0.011,,,,**,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,-0.011,,,,*,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,0.009,,,,,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Hospital,hospital_distance,D_location,level,count within 1 km,0.007,,,,,,,high,"number of hospitals within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,-0.008,,,,***,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,-0.006,,,,***,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,0.007,,,,*,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,0.001,,,,,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,-0.002,,,,,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,-0.002,,,,,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,0.0002,,,,,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Shopping,commercial_distance,D_location,level,count within 1 km,0.001,,,,,,,high,"number of shopping facilities within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Park,green_space,E_environment,level,count within 1 km,0.01,,,,,,,high,"number of district-level parks within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Park,green_space,E_environment,level,count within 1 km,-0.003,,,,,,,high,"number of district-level parks within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Park,green_space,E_environment,level,count within 1 km,-0.054,,,,***,,,high,"number of district-level parks within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Park,green_space,E_environment,level,count within 1 km,-0.056,,,,***,,,high,"number of district-level parks within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Park,green_space,E_environment,level,count within 1 km,-0.015,,,,,,,high,"number of district-level parks within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Park,green_space,E_environment,level,count within 1 km,-0.016,,,,,,,high,"number of district-level parks within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Park,green_space,E_environment,level,count within 1 km,0.001,,,,,,,high,"number of district-level parks within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Park,green_space,E_environment,level,count within 1 km,-0.001,,,,,,,high,"number of district-level parks within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Blue-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.046,,,,***,,,high,"number of blue-collar jobs within 1 km; cell blank in inner-district owner-occupied OLS column; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Blue-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.079,,,,***,,,high,"number of blue-collar jobs within 1 km; cell blank in inner-district owner-occupied OLS column; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Blue-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.109,,,,***,,,high,"number of blue-collar jobs within 1 km; cell blank in inner-district owner-occupied OLS column; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Blue-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.039,,,,***,,,high,"number of blue-collar jobs within 1 km; cell blank in inner-district owner-occupied OLS column; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Blue-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.039,,,,***,,,high,"number of blue-collar jobs within 1 km; cell blank in inner-district owner-occupied OLS column; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Blue-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.081,,,,***,,,high,"number of blue-collar jobs within 1 km; cell blank in inner-district owner-occupied OLS column; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Blue-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.053,,,,*,,,high,"number of blue-collar jobs within 1 km; cell blank in inner-district owner-occupied OLS column; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.029,,,,**,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.011,,,,,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.083,,,,,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.169,,,,,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.002,,,,,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-0.004,,,,,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.258,,,,,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Pink-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.198,,,,,,,high,"number of pink-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.051,,,,,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.107,,,,**,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.011,,,,,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.355,,,,,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.159,,,,***,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",0.163,,,,***,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-1.601,,,,**,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,White-collar jobs,employment_access,D_location,level,"10,000 jobs within 1 km",-1.315,,,,**,,,high,"number of white-collar jobs within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,0.005,,,,***,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,0.003,,,,,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,0.009,,,,***,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,0.008,,,,**,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,-0.001,,,,,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,0.0002,,,,,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,-0.004,,,,,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Bus stops,transit_distance,D_location,level,count within 1 km,-0.006,,,,,,,high,"number of bus stops within 1 km (count, not distance); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),-0.066,,,,***,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),-0.097,,,,***,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),0.071,,,,**,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),0.075,,,,*,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),-0.026,,,,,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),-0.029,,,,,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),0.288,,,,***,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,BRT,transit_distance,D_location,dummy,binary (BRT station within 1 km),0.286,,,,***,,,high,"= 1 if BRT station within 1 km; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),0.138,,,,***,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),0.09,,,,***,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),0.09,,,,***,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),0.156,,,,***,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),0.06,,,,**,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),0.062,,,,**,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),-0.103,,,,**,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Metro (ref: No),transit_distance,D_location,dummy,binary (planned metro station within 1 km),-0.089,,,,**,,,high,"= 1 if planned metro station within 1 km (metro not yet operating in 2016-2017); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,River,water_proximity,E_environment,dummy,binary (river or lake within 300 m),-0.013,,,,,,,high,"= 1 if river or lake within 300 m; not in outer-district rental models; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,River,water_proximity,E_environment,dummy,binary (river or lake within 300 m),0.024,,,,,,,high,"= 1 if river or lake within 300 m; not in outer-district rental models; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,River,water_proximity,E_environment,dummy,binary (river or lake within 300 m),-0.08,,,,,,,high,"= 1 if river or lake within 300 m; not in outer-district rental models; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,River,water_proximity,E_environment,dummy,binary (river or lake within 300 m),-0.117,,,,,,,high,"= 1 if river or lake within 300 m; not in outer-district rental models; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,River,water_proximity,E_environment,dummy,binary (river or lake within 300 m),-0.017,,,,,,,high,"= 1 if river or lake within 300 m; not in outer-district rental models; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,River,water_proximity,E_environment,dummy,binary (river or lake within 300 m),-0.024,,,,,,,high,"= 1 if river or lake within 300 m; not in outer-district rental models; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.19,,,,***,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.135,,,,**,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.054,,,,***,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.07,,,,***,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.163,,,,**,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.148,,,,**,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.141,,,,***,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Seascape,view,E_environment,dummy,binary (sea within 300 m),0.125,,,,***,,,high,"= 1 if sea within 300 m (first-line sea view housing); stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,School district,school_quality,F_neighbourhood,dummy,binary,0.096,,,,***,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,School district,school_quality,F_neighbourhood,dummy,binary,0.102,,,,***,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,School district,school_quality,F_neighbourhood,dummy,binary,-0.048,,,,,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,School district,school_quality,F_neighbourhood,dummy,binary,-0.053,,,,*,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,School district,school_quality,F_neighbourhood,dummy,binary,-0.0002,,,,,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,School district,school_quality,F_neighbourhood,dummy,binary,-0.001,,,,,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,School district,school_quality,F_neighbourhood,dummy,binary,-0.005,,,,,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,School district,school_quality,F_neighbourhood,dummy,binary,0.017,,,,,,,high,"= 1 if in one of 21 high-quality primary school districts; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c1,2,"OLS Owner-occupied housing, inner districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),0.02,,,,,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1702.0,0.79,none,"Owner-occupied housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c2,2,"SEM Owner-occupied housing, inner districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),0.028,,,,,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1702.0,,none,"Owner-occupied housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c3,2,"OLS Owner-occupied housing, outer districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),-0.039,,,,*,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed","ln total housing price (1,000 yuan)",log,OLS,1033.0,0.837,none,"Owner-occupied housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c4,2,"SEM Owner-occupied housing, outer districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),-0.037,,,,*,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed","ln total housing price (1,000 yuan)",log,spatial_error,1033.0,,none,"Owner-occupied housing, outer districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c5,2,"OLS Rental housing, inner districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),-0.03,,,,,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,1085.0,0.78,none,"Rental housing, inner districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c6,2,"SEM Rental housing, inner districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),-0.047,,,,,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_error,1085.0,,none,"Rental housing, inner districts; SEM; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c7,2,"OLS Rental housing, outer districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),-0.035,,,,,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed",ln total rental price (yuan/month),log,OLS,293.0,0.747,none,"Rental housing, outer districts; OLS; year 2017 dummy included; stars only"
5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5,5cf2ca5773ec64d2d8be794899e97064def914d5:T2-c8,2,"SLM Rental housing, outer districts",12,Urban villages,other,other,dummy,binary (urban village within 100 m),-0.031,,,,,,,high,"= 1 if an urban village within 100 m; stars only, no SE printed",ln total rental price (yuan/month),log,spatial_lag,293.0,,none,"Rental housing, outer districts; SLM; year 2017 dummy included; stars only"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Bedrooms,bedrooms,A_structural,level,count,0.0427,0.003,,,***,,,high,,ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,House,dwelling_type,A_structural,binary,binary,0.1685,0.0154,,,***,,,high,House (vs apartment),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Floor,floor_level,A_structural,level,count,0.0155,0.0009,,,***,,,high,,ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Area,living_area,A_structural,level,m2,0.0064,0.0001,,,***,,,high,,ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Age2,age,A_structural,dummy,binary,-0.1034,0.0063,,,***,,,high,Building age class 2 (class bounds not printed),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Age3,age,A_structural,dummy,binary,-0.0729,0.0068,,,***,,,high,Building age class 3 (class bounds not printed),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Garage,garage,A_structural,binary,binary,0.1126,0.0059,,,***,,,high,Off-street parking inside property,ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Educational Index,education_level,F_neighbourhood,level,index,0.416,0.0225,,,***,,,high,Neighbourhood education level indicator,ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Entropy Index,other,other,level,index,0.2312,0.0234,,,***,,,high,Land-use mixture (entropy) indicator,ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,2MAccess,transit_distance,D_location,other,index,0.0916,0.0133,,,***,,,high,Impedance function of walking distance to the two closest subway lines (higher = closer),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,1Maccess,transit_distance,D_location,other,index,0.0652,0.0084,,,***,,,high,Impedance function of walking distance to closest subway line (higher = closer),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Network1,highway_distance,D_location,other,index,-0.0732,0.0069,,,***,,,high,Impedance of distance to nearest motorway node (higher = closer),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Network2,highway_distance,D_location,other,index,0.0458,0.0064,,,***,,,high,Impedance of distance to nearest ring/radial road node (higher = closer),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Network3,highway_distance,D_location,other,index,-0.038,0.006,,,***,,,high,Impedance of distance to nearest urban distribution road node (higher = closer),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Sintra,transit_distance,D_location,other,index,-0.0614,0.0134,,,***,,,high,Impedance of walking time to Sintra commuter-rail stations (higher = closer),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109,5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109:T3-res,3,Residential model (Martinez and Viegas 2009),7,Cascais,transit_distance,D_location,other,index,0.1517,0.0259,,,***,,,high,Impedance of walking time to Cascais commuter-rail stations (higher = closer),ln(asking price),log,spatial_lag,8742.0,0.795,se,"residential properties, Lisbon; pseudo R2"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c1,4,1,12,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.0457,0.0037,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.1683,se,"All transactions within 3 km of a station opened 2010-2018; no controls, no FE"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c1,4,1,12,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0105,0.0053,,,*,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.1683,se,"All transactions within 3 km of a station opened 2010-2018; no controls, no FE"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c2,4,2,12,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0122,0.0022,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.7155,se,Region (3-digit postal code) FE + quarter FE; no structural controls
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c2,4,2,12,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0236,0.0031,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.7155,se,Region (3-digit postal code) FE + quarter FE; no structural controls
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c3,4,3,12,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.018,0.0021,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.742,se,Region + quarter FE; age and area linear
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c3,4,3,12,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0247,0.003,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.742,se,Region + quarter FE; age and area linear
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c3,4,3,12,Age (centuries),age,A_structural,other,centuries (years/100),-1.1762,0.0046,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.742,se,Region + quarter FE; age and area linear
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c3,4,3,12,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),16.9128,0.121,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.742,se,Region + quarter FE; age and area linear
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c4,4,4,12,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0228,0.0021,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7466,se,"Region + quarter + frame-type FE; age, area and squares"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c4,4,4,12,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0226,0.0029,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7466,se,"Region + quarter + frame-type FE; age, area and squares"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c4,4,4,12,Age (centuries),age,A_structural,other,centuries (years/100),-2.5029,0.0125,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7466,se,"Region + quarter + frame-type FE; age, area and squares"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c4,4,4,12,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),10.248,0.3469,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7466,se,"Region + quarter + frame-type FE; age, area and squares"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c4,4,4,12,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1766,0.0354,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7466,se,"Region + quarter + frame-type FE; age, area and squares"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c4,4,4,12,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),127.9,12.3798,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 1.279 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7466,se,"Region + quarter + frame-type FE; age, area and squares"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c5,4,5,12,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0139,0.0021,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7524,se,"Full specification: region + quarter + frame FE (region x quarter per eq. 2), age, area and squares; baseline model (identical to T5 c1, T7 c2, T8 c2, T9 c1, not re-extracted)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c5,4,5,12,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0371,0.003,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7524,se,"Full specification: region + quarter + frame FE (region x quarter per eq. 2), age, area and squares; baseline model (identical to T5 c1, T7 c2, T8 c2, T9 c1, not re-extracted)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c5,4,5,12,Age (centuries),age,A_structural,other,centuries (years/100),-2.5031,0.0125,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7524,se,"Full specification: region + quarter + frame FE (region x quarter per eq. 2), age, area and squares; baseline model (identical to T5 c1, T7 c2, T8 c2, T9 c1, not re-extracted)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c5,4,5,12,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),10.7196,0.3442,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7524,se,"Full specification: region + quarter + frame FE (region x quarter per eq. 2), age, area and squares; baseline model (identical to T5 c1, T7 c2, T8 c2, T9 c1, not re-extracted)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c5,4,5,12,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1717,0.0352,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7524,se,"Full specification: region + quarter + frame FE (region x quarter per eq. 2), age, area and squares; baseline model (identical to T5 c1, T7 c2, T8 c2, T9 c1, not re-extracted)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T4-c5,4,5,12,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),114.3,12.2858,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 1.143 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7524,se,"Full specification: region + quarter + frame FE (region x quarter per eq. 2), age, area and squares; baseline model (identical to T5 c1, T7 c2, T8 c2, T9 c1, not re-extracted)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c2,5,2,13,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0164,0.0023,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,725519.0,0.7542,se,41 stations (4 stations re-opened for a second time removed); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c2,5,2,13,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0388,0.0032,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,725519.0,0.7542,se,41 stations (4 stations re-opened for a second time removed); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c2,5,2,13,Age (centuries),age,A_structural,other,centuries (years/100),-2.5244,0.0135,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,725519.0,0.7542,se,41 stations (4 stations re-opened for a second time removed); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c2,5,2,13,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),13.814,0.3653,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,725519.0,0.7542,se,41 stations (4 stations re-opened for a second time removed); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c2,5,2,13,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.2409,0.0381,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,725519.0,0.7542,se,41 stations (4 stations re-opened for a second time removed); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c2,5,2,13,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),32.12,12.8276,,,*,,,high,Squared area in hectares ((m2/10000)^2); printed as 3.212 x 10,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,725519.0,0.7542,se,41 stations (4 stations re-opened for a second time removed); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c3,5,3,13,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.0178,0.0058,,,**,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,107762.0,0.7396,se,Only the 4 stations opened for a second time (junction stations); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c3,5,3,13,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),-0.0005,0.0083,,,,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,107762.0,0.7396,se,Only the 4 stations opened for a second time (junction stations); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c3,5,3,13,Age (centuries),age,A_structural,other,centuries (years/100),-2.5746,0.0314,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,107762.0,0.7396,se,Only the 4 stations opened for a second time (junction stations); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c3,5,3,13,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),-17.5511,1.1811,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,107762.0,0.7396,se,Only the 4 stations opened for a second time (junction stations); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c3,5,3,13,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.122,0.0908,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,107762.0,0.7396,se,Only the 4 stations opened for a second time (junction stations); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T5-c3,5,3,13,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),990.3,48.9493,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 9.903 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,107762.0,0.7396,se,Only the 4 stations opened for a second time (junction stations); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c1,6,1,15,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.1403,0.0392,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,80423.0,0.641,se,Station cluster: North (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c1,6,1,15,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.1138,0.0415,,,**,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,80423.0,0.641,se,Station cluster: North (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c1,6,1,15,Age (centuries),age,A_structural,other,centuries (years/100),-3.2597,0.0485,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,80423.0,0.641,se,Station cluster: North (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c1,6,1,15,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),24.7873,1.0445,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,80423.0,0.641,se,Station cluster: North (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c1,6,1,15,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),6.8146,0.1437,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,80423.0,0.641,se,Station cluster: North (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c1,6,1,15,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),-219.0,29.6552,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as -2.19 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,80423.0,0.641,se,Station cluster: North (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c2,6,2,15,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.1193,0.0094,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,55045.0,0.5066,se,Station cluster: South (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c2,6,2,15,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0688,0.0133,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,55045.0,0.5066,se,Station cluster: South (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c2,6,2,15,Age (centuries),age,A_structural,other,centuries (years/100),-2.3733,0.0724,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,55045.0,0.5066,se,Station cluster: South (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c2,6,2,15,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),-1.5277,2.8774,,,,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,55045.0,0.5066,se,Station cluster: South (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c2,6,2,15,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.7623,0.2565,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,55045.0,0.5066,se,Station cluster: South (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c2,6,2,15,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),262.0,161.2154,,,,,,high,Squared area in hectares ((m2/10000)^2); printed as 2.62 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,55045.0,0.5066,se,Station cluster: South (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c3,6,3,15,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.0323,0.0101,,,**,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,88720.0,0.7257,se,Station cluster: West (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c3,6,3,15,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0337,0.0124,,,**,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,88720.0,0.7257,se,Station cluster: West (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c3,6,3,15,Age (centuries),age,A_structural,other,centuries (years/100),-3.1817,0.0397,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,88720.0,0.7257,se,Station cluster: West (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c3,6,3,15,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),-30.7669,1.3572,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,88720.0,0.7257,se,Station cluster: West (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c3,6,3,15,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),9.3918,0.1322,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,88720.0,0.7257,se,Station cluster: West (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c3,6,3,15,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),1473.0,56.9606,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 14.73 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,88720.0,0.7257,se,Station cluster: West (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c4,6,4,15,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.0819,0.0075,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,71263.0,0.7436,se,Station cluster: Sayyad (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c4,6,4,15,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.001,0.0122,,,,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,71263.0,0.7436,se,Station cluster: Sayyad (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c4,6,4,15,Age (centuries),age,A_structural,other,centuries (years/100),-2.7542,0.042,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,71263.0,0.7436,se,Station cluster: Sayyad (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c4,6,4,15,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),23.5485,1.0859,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,71263.0,0.7436,se,Station cluster: Sayyad (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c4,6,4,15,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),5.1907,0.1278,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,71263.0,0.7436,se,Station cluster: Sayyad (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c4,6,4,15,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),-161.0,36.8792,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as -1.61 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,71263.0,0.7436,se,Station cluster: Sayyad (region without prior BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c5,6,5,15,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0569,0.0062,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,284352.0,0.7222,se,Station cluster: Azadi-Enghelab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c5,6,5,15,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0175,0.0067,,,**,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,284352.0,0.7222,se,Station cluster: Azadi-Enghelab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c5,6,5,15,Age (centuries),age,A_structural,other,centuries (years/100),-2.6335,0.0195,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,284352.0,0.7222,se,Station cluster: Azadi-Enghelab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c5,6,5,15,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),17.7836,0.7445,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,284352.0,0.7222,se,Station cluster: Azadi-Enghelab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c5,6,5,15,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1099,0.0532,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,284352.0,0.7222,se,Station cluster: Azadi-Enghelab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c5,6,5,15,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),-143.0,34.197,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as -1.43 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,284352.0,0.7222,se,Station cluster: Azadi-Enghelab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c6,6,6,15,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0516,0.0052,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,87913.0,0.7417,se,Station cluster: Valiasr (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c6,6,6,15,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0128,0.0088,,,,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,87913.0,0.7417,se,Station cluster: Valiasr (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c6,6,6,15,Age (centuries),age,A_structural,other,centuries (years/100),-2.6704,0.0408,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,87913.0,0.7417,se,Station cluster: Valiasr (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c6,6,6,15,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),7.4146,1.279,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,87913.0,0.7417,se,Station cluster: Valiasr (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c6,6,6,15,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1474,0.1043,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,87913.0,0.7417,se,Station cluster: Valiasr (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c6,6,6,15,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),-43.2,47.4865,,,,,,high,Squared area in hectares ((m2/10000)^2); printed as -4.32 x 10,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,87913.0,0.7417,se,Station cluster: Valiasr (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c7,6,7,15,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0071,0.0029,,,*,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,81984.0,0.7136,se,Station cluster: Navvab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c7,6,7,15,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),-0.0137,0.0064,,,*,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,81984.0,0.7136,se,Station cluster: Navvab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c7,6,7,15,Age (centuries),age,A_structural,other,centuries (years/100),-2.6744,0.0364,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,81984.0,0.7136,se,Station cluster: Navvab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c7,6,7,15,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),-8.8337,1.6689,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,81984.0,0.7136,se,Station cluster: Navvab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c7,6,7,15,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),3.9768,0.1124,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,81984.0,0.7136,se,Station cluster: Navvab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T6-c7,6,7,15,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),28.1,97.8459,,,,,,high,Squared area in hectares ((m2/10000)^2); printed as 2.81 x 10,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,81984.0,0.7136,se,Station cluster: Navvab (region with pre-existing BRT line); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c1,7,1,18,T=1 * M1=1,transit_distance,D_location,other,binary x binary (post x within 200m),0.0484,0.0062,,,***,,,high,DiD term with treatment radius 200m; M=1 dummy itself not reported in Table 7,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7522,se,Treatment group radius 200m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c1,7,1,18,Age (centuries),age,A_structural,other,centuries (years/100),-2.4984,0.0125,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7522,se,Treatment group radius 200m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c1,7,1,18,Area (Hectar2),living_area,A_structural,other,hectares (m2/10000),10.8345,0.3444,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000; header printed 'Hectar2' (typo for Hectares),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7522,se,Treatment group radius 200m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c1,7,1,18,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1609,0.0352,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7522,se,Treatment group radius 200m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c1,7,1,18,Area2 (Hectar2),living_area,A_structural,squared,hectares squared ((m2/10000)^2),110.7304,12.2888,,,***,,,high,Squared area in hectares ((m2/10000)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7522,se,Treatment group radius 200m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c3,7,3,18,T=1 * M3=1,transit_distance,D_location,other,binary x binary (post x within 600m),0.0271,0.0022,,,***,,,high,DiD term with treatment radius 600m; M=1 dummy itself not reported in Table 7,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 600m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c3,7,3,18,Age (centuries),age,A_structural,other,centuries (years/100),-2.5052,0.0125,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 600m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c3,7,3,18,Area (Hectar2),living_area,A_structural,other,hectares (m2/10000),10.678,0.3442,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000; header printed 'Hectar2' (typo for Hectares),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 600m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c3,7,3,18,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1743,0.0352,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 600m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c3,7,3,18,Area2 (Hectar2),living_area,A_structural,squared,hectares squared ((m2/10000)^2),116.0682,12.2818,,,***,,,high,Squared area in hectares ((m2/10000)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 600m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c4,7,4,18,T=1 * M4=1,transit_distance,D_location,other,binary x binary (post x within 800m),0.0136,0.0019,,,***,,,high,DiD term with treatment radius 800m; M=1 dummy itself not reported in Table 7,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,Treatment group radius 800m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c4,7,4,18,Age (centuries),age,A_structural,other,centuries (years/100),-2.5119,0.0125,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,Treatment group radius 800m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c4,7,4,18,Area (Hectar2),living_area,A_structural,other,hectares (m2/10000),10.6476,0.3441,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000; header printed 'Hectar2' (typo for Hectares),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,Treatment group radius 800m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c4,7,4,18,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1881,0.0351,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,Treatment group radius 800m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c4,7,4,18,Area2 (Hectar2),living_area,A_structural,squared,hectares squared ((m2/10000)^2),116.9601,12.2776,,,***,,,high,Squared area in hectares ((m2/10000)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,Treatment group radius 800m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c5,7,5,18,T=1 * M5=1,transit_distance,D_location,other,binary x binary (post x within 1000m),0.0111,0.0019,,,***,,,high,DiD term with treatment radius 1000m; M=1 dummy itself not reported in Table 7,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 1000m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c5,7,5,18,Age (centuries),age,A_structural,other,centuries (years/100),-2.5083,0.0125,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 1000m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c5,7,5,18,Area (Hectar2),living_area,A_structural,other,hectares (m2/10000),10.8049,0.3441,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000; header printed 'Hectar2' (typo for Hectares),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 1000m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c5,7,5,18,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1844,0.0352,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 1000m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T7-c5,7,5,18,Area2 (Hectar2),living_area,A_structural,squared,hectares squared ((m2/10000)^2),113.1338,12.2798,,,***,,,high,Squared area in hectares ((m2/10000)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7526,se,Treatment group radius 1000m (control 3 km); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c1,8,1,19,T=1 * M1=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0413,0.003,,,***,,,high,DiD term with control ring 400 m-2km; M=1 dummy itself not reported in Table 8,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,628782.0,0.7538,se,Control group outer radius 2km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c1,8,1,19,Age (centuries),age,A_structural,other,centuries (years/100),-2.5158,0.0143,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,628782.0,0.7538,se,Control group outer radius 2km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c1,8,1,19,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),7.7151,0.3964,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,628782.0,0.7538,se,Control group outer radius 2km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c1,8,1,19,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.1837,0.0402,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,628782.0,0.7538,se,Control group outer radius 2km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c1,8,1,19,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),221.0,14.2462,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 2.21 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,628782.0,0.7538,se,Control group outer radius 2km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c3,8,3,19,T=1 * M3=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0349,0.003,,,***,,,high,DiD term with control ring 400 m-4km; M=1 dummy itself not reported in Table 8,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,977048.0,0.7478,se,Control group outer radius 4km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c3,8,3,19,Age (centuries),age,A_structural,other,centuries (years/100),-2.4259,0.0117,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,977048.0,0.7478,se,Control group outer radius 4km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c3,8,3,19,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),12.3332,0.3236,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,977048.0,0.7478,se,Control group outer radius 4km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c3,8,3,19,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.0274,0.0333,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,977048.0,0.7478,se,Control group outer radius 4km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c3,8,3,19,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),68.4,11.6416,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 6.84 x 10,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,977048.0,0.7478,se,Control group outer radius 4km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c4,8,4,19,T=1 * M4=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0342,0.003,,,***,,,high,DiD term with control ring 400 m-5km; M=1 dummy itself not reported in Table 8,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1077506.0,0.7481,se,Control group outer radius 5km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c4,8,4,19,Age (centuries),age,A_structural,other,centuries (years/100),-2.3996,0.0112,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1077506.0,0.7481,se,Control group outer radius 5km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c4,8,4,19,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),12.2424,0.3108,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1077506.0,0.7481,se,Control group outer radius 5km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c4,8,4,19,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.0404,0.0321,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1077506.0,0.7481,se,Control group outer radius 5km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c4,8,4,19,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),90.0,11.2525,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 9 x 10,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1077506.0,0.7481,se,Control group outer radius 5km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c5,8,5,19,T=1 * M5=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0307,0.003,,,***,,,high,DiD term with control ring 400 m-6km; M=1 dummy itself not reported in Table 8,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1169264.0,0.7478,se,Control group outer radius 6km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c5,8,5,19,Age (centuries),age,A_structural,other,centuries (years/100),-2.3846,0.0108,,,***,,,high,Age of building expressed in centuries (years/100); level of age/100,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1169264.0,0.7478,se,Control group outer radius 6km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c5,8,5,19,Area (Hectares),living_area,A_structural,other,hectares (m2/10000),12.4509,0.3007,,,***,,,high,Surface area of dwelling expressed in hectares (m2/10000); level of area/10000,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1169264.0,0.7478,se,Control group outer radius 6km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c5,8,5,19,Age2 (centuries),age,A_structural,squared,centuries squared ((years/100)^2),4.0831,0.0312,,,***,,,high,Squared age in centuries ((years/100)^2),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1169264.0,0.7478,se,Control group outer radius 6km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T8-c5,8,5,19,Area2 (Hectares),living_area,A_structural,squared,hectares squared ((m2/10000)^2),102.8,10.9528,,,***,,,high,Squared area in hectares ((m2/10000)^2); printed as 1.028 x 10^2,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,1169264.0,0.7478,se,Control group outer radius 6km (treatment 400 m); full specification
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T9-c2,9,2,20,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 150 m),0.046,0.0096,,,***,,,high,"DiD term, band 0-150 m from metro station","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,"Stepwise treatment: three distance bands (<150 m, 150-400/500 m, 400 m-1 km) vs control; full specification (age/area controls not reported in table)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T9-c2,9,2,20,T=1 * M=2,transit_distance,D_location,other,binary x binary (post x 150-400/500 m band),0.0362,0.0032,,,***,,,high,"DiD term, second band (text: 150-400 m; table comment: 150-500 m)","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,"Stepwise treatment: three distance bands (<150 m, 150-400/500 m, 400 m-1 km) vs control; full specification (age/area controls not reported in table)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T9-c2,9,2,20,T=1 * M=3,transit_distance,D_location,other,binary x binary (post x 400 m-1 km band),0.0056,0.002,,,**,,,high,"DiD term, third band (400 m-1 km)","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7527,se,"Stepwise treatment: three distance bands (<150 m, 150-400/500 m, 400 m-1 km) vs control; full specification (age/area controls not reported in table)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T9-c3,9,3,20,T=1 * M,transit_distance,D_location,other,km (post x distance to metro station in km),-0.0442,0.0055,,,***,,,high,DiD slope: post x continuous distance to nearest metro station; text: 0.44% price reduction per 100 m => distance in km,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,305468.0,0.7365,se,"Linear distance DiD, transactions within 1 km of station only; full specification (age/area controls not reported)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T9-c4,9,4,20,T=1 * M,transit_distance,D_location,other,km (post x distance in km),-0.1434,0.0276,,,***,,,high,DiD linear term of quadratic distance specification,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,305468.0,0.7367,se,"Quadratic distance DiD, transactions within 1 km; full specification (age/area controls not reported)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T9-c4,9,4,20,T=1 * M2,transit_distance,D_location,other,km squared (post x distance^2),0.0895,0.023,,,***,,,high,DiD quadratic term,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,305468.0,0.7367,se,"Quadratic distance DiD, transactions within 1 km; full specification (age/area controls not reported)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c2,10,2,21,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0513,0.0032,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.4435,se,"Region FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c2,10,2,21,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0157,0.0045,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.4435,se,"Region FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c2,10,2,21,lnAge,age,A_structural,log,years (log of building age),-0.1259,0.0006,,,***,,,high,Log of building age in years (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.4435,se,"Region FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c2,10,2,21,lnArea,living_area,A_structural,log,m2 (log of surface area),0.0883,0.0019,,,***,,,high,Log of dwelling surface area in m2 (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.4435,se,"Region FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c3,10,3,21,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.0413,0.0027,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.5708,se,"Quarter FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c3,10,3,21,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),-0.0063,0.0039,,,,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.5708,se,"Quarter FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c3,10,3,21,lnAge,age,A_structural,log,years (log of building age),-0.0785,0.0005,,,***,,,high,Log of building age in years (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.5708,se,"Quarter FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c3,10,3,21,lnArea,living_area,A_structural,log,m2 (log of surface area),0.5667,0.0013,,,***,,,high,Log of dwelling surface area in m2 (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.5708,se,"Quarter FE only; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c4,10,4,21,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0211,0.0022,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.7296,se,"Region + quarter FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c4,10,4,21,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0222,0.0031,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.7296,se,"Region + quarter FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c4,10,4,21,lnAge,age,A_structural,log,years (log of building age),-0.1069,0.0004,,,***,,,high,Log of building age in years (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.7296,se,"Region + quarter FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c4,10,4,21,lnArea,living_area,A_structural,log,m2 (log of surface area),0.1081,0.0013,,,***,,,high,Log of dwelling surface area in m2 (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759057.0,0.7296,se,"Region + quarter FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c5,10,5,21,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0127,0.0022,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759056.0,0.736,se,"Region + quarter + region x quarter + frame FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c5,10,5,21,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0371,0.0032,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,759056.0,0.736,se,"Region + quarter + region x quarter + frame FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c5,10,5,21,lnAge,age,A_structural,log,years (log of building age),-0.1049,0.0005,,,***,,,high,Log of building age in years (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759056.0,0.736,se,"Region + quarter + region x quarter + frame FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T10-c5,10,5,21,lnArea,living_area,A_structural,log,m2 (log of surface area),0.1076,0.0013,,,***,,,high,Log of dwelling surface area in m2 (elasticity),"ln nominal transaction price of the property (total price, Tomans)",log,OLS,759056.0,0.736,se,"Region + quarter + region x quarter + frame FE; lnAge, lnArea (log-form robustness; sample smaller because ln(age) drops age=0)"
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c2,11,2,22,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0504,0.003,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.4667,se,Region FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c2,11,2,22,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.021,0.0042,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.4667,se,Region FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c3,11,3,22,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),-0.0419,0.0026,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.5759,se,Quarter FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c3,11,3,22,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),-0.0051,0.0037,,,,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.5759,se,Quarter FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c4,11,4,22,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0227,0.0021,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.7444,se,Region + quarter FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c4,11,4,22,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.0238,0.0029,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833282.0,0.7444,se,Region + quarter FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c5,11,5,22,M=1,transit_distance,D_location,binary,binary (within 400 m of metro station),0.0141,0.0021,,,***,,,high,M=1: property within 400 m of nearest (newly opened) metro station vs 400 m-3 km control ring,"ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7504,se,Region + quarter + region x quarter + frame FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab,602e1fb4b1e820fd13056357b14a38759c9354ab:T11-c5,11,5,22,T=1 * M=1,transit_distance,D_location,other,binary x binary (post x within 400 m),0.038,0.003,,,***,,,high,"Difference-in-differences term: post-opening x within 400 m of metro station; interaction, x_transform other","ln nominal transaction price of the property (total price, Tomans)",log,OLS,833281.0,0.7504,se,Region + quarter + region x quarter + frame FE; age and area decile FE (categorised age/area robustness; decile FE not extracted)
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,No of Bedrooms,bedrooms,A_structural,level,count,0.014671,,15.866329,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,No of Bedrooms,bedrooms,A_structural,level,count,0.017519,,19.144798,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,No of Full Baths,bathrooms,A_structural,level,count (full bathrooms),0.164688,,152.781209,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,No of Full Baths,bathrooms,A_structural,level,count (full bathrooms),0.146963,,136.717485,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,No of Half Baths,bathrooms,A_structural,level,count (half bathrooms),0.151836,,91.099069,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,No of Half Baths,bathrooms,A_structural,level,count (half bathrooms),0.132745,,79.822351,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,No of Fireplaces,fireplace,B_interior,level,count,0.170455,,161.09964,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,No of Fireplaces,fireplace,B_interior,level,count,0.145072,,137.00185,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,Garage Dummy,garage,A_structural,binary,binary,0.170616,,71.760975,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,Garage Dummy,garage,A_structural,binary,binary,0.170824,,72.495021,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,Basement Dummy,basement,A_structural,binary,binary,0.138199,,80.941398,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,Basement Dummy,basement,A_structural,binary,binary,0.128803,,75.68174,0.0,,,,high,t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,Stories Dummy,storeys,A_structural,binary,binary (multi-storey dummy; definition not printed),0.014131,,8.167266,0.0,,,,high,Dummy for number of stories (mean 0.48); exact definition not printed; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,Stories Dummy,storeys,A_structural,binary,binary (multi-storey dummy; definition not printed),0.026279,,15.247442,0.0,,,,high,Dummy for number of stories (mean 0.48); exact definition not printed; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,Age,age,A_structural,level,years,-0.014724,,-160.94147,0.0,,,,high,Enters with Age Squared; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,Age,age,A_structural,level,years,-0.01629,,-164.96856,0.0,,,,high,Enters with Age Squared; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,Age Squared,age,A_structural,squared,years squared,0.000122,,156.98142,0.0,,,,high,Quadratic term of age; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,Age Squared,age,A_structural,squared,years squared,0.000126,,151.223767,0.0,,,,high,Quadratic term of age; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c1,2,1,42,Land Sq Feet (Log),lot_size,A_structural,log,sqft,0.183304,,159.507617,0.0,,,,high,Log of land square feet; Robinson column printed as .235341; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,OLS,326744.0,0.591,t,"Full sample; year dummies (2010 omitted), county dummies, lat/lon quadratic included; t and p in separate columns"
617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232,617738a89ff272112e6f8804b981aa1981f5a232:T2-c2,2,2,42,Land Sq Feet (Log),lot_size,A_structural,log,sqft,0.235341,,196.40403,0.0,,,,high,Log of land square feet; Robinson column printed as .235341; t-value and p-value printed in separate columns; p printed as 0.00; no stars used,log sale price,log,other,326744.0,,t,"Robinson's semi-parametric (partially linear) method, location handled non-parametrically; county dummies included; t and p in separate columns"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,AREALOT,lot_size,A_structural,level,sqft,3.787e-06,,,0.003,**,,,high,"land area in square feet; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,AREALOT,lot_size,A_structural,level,sqft,3.3899e-06,,,0.007,**,,,high,"land area in square feet; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,AREALOT,lot_size,A_structural,level,sqft,4.82604e-06,,,0.001,**,,,high,"land area in square feet; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,FRONT,other,other,level,feet,8.7561e-06,,,0.001,**,,,high,"street frontage in feet (Table 1); no taxonomy leaf; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,FRONT,other,other,level,feet,1.06e-05,,,0.0,**,,,high,"street frontage in feet (Table 1); no taxonomy leaf; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,FRONT,other,other,level,feet,7.4217e-06,,,0.003,**,,,high,"street frontage in feet (Table 1); no taxonomy leaf; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,ATTIC,storage,B_interior,level,sqft,0.00014,,,0.067,,,,high,"attic square footage; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,ATTIC,storage,B_interior,level,sqft,0.00013,,,0.098,,,,high,"attic square footage; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,ATTIC,storage,B_interior,level,sqft,0.00014,,,0.065,,,,high,"attic square footage; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,BEDROOMS,bedrooms,A_structural,level,count,0.08504,,,0.0,**,,,high,"stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,BEDROOMS,bedrooms,A_structural,level,count,0.08581,,,0.0,**,,,high,"stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,BEDROOMS,bedrooms,A_structural,level,count,0.07047,,,0.0,**,,,high,"stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,FULLBATHS,bathrooms,A_structural,level,count,0.1512,,,0.0,**,,,high,"number of full baths; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,FULLBATHS,bathrooms,A_structural,level,count,0.16015,,,0.0,**,,,high,"number of full baths; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,FULLBATHS,bathrooms,A_structural,level,count,0.14032,,,0.0,**,,,high,"number of full baths; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,HALFBATHS,bathrooms,A_structural,level,count,0.1048,,,0.002,**,,,high,"number of half baths; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,HALFBATHS,bathrooms,A_structural,level,count,0.11255,,,0.0,**,,,high,"number of half baths; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,HALFBATHS,bathrooms,A_structural,level,count,0.10348,,,0.001,**,,,high,"number of half baths; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,AGE,age,A_structural,level,years,-0.00698,,,0.0,**,,,high,"age of building in years; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,AGE,age,A_structural,level,years,-0.00672,,,0.0,**,,,high,"age of building in years; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,AGE,age,A_structural,level,years,-0.00643,,,0.0,**,,,high,"age of building in years; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,GARAGE,garage,A_structural,level,count,0.1272,,,0.0,**,,,high,"car capacity of basement garage; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,GARAGE,garage,A_structural,level,count,0.1273,,,0.0,**,,,high,"car capacity of basement garage; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,GARAGE,garage,A_structural,level,count,0.12189,,,0.0,**,,,high,"car capacity of basement garage; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,FIREPLACES,fireplace,B_interior,level,count,0.23866,,,0.0,**,,,high,"number of fireplace stacks; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,FIREPLACES,fireplace,B_interior,level,count,0.23163,,,0.0,**,,,high,"number of fireplace stacks; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,FIREPLACES,fireplace,B_interior,level,count,0.20293,,,0.0,**,,,high,"number of fireplace stacks; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,CVPOOR,condition,A_structural,binary,binary,-0.83248,,,0.0,**,,,high,"1 = very poor condition of the house; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,CVPOOR,condition,A_structural,binary,binary,-0.803,,,0.0,**,,,high,"1 = very poor condition of the house; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,CVPOOR,condition,A_structural,binary,binary,-0.86721,,,0.0,**,,,high,"1 = very poor condition of the house; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,AIRCOND,air_conditioning,A_structural,binary,binary,0.36702,,,0.0,**,,,high,"central air conditioning; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,AIRCOND,air_conditioning,A_structural,binary,binary,0.35357,,,0.0,**,,,high,"central air conditioning; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,AIRCOND,air_conditioning,A_structural,binary,binary,0.28278,,,0.0,**,,,high,"central air conditioning; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,HEATING,heating,A_structural,binary,binary,0.31162,,,0.062,,,,high,"presence of a heating system (mean 0.99); stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,HEATING,heating,A_structural,binary,binary,0.26759,,,0.107,,,,high,"presence of a heating system (mean 0.99); stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,HEATING,heating,A_structural,binary,binary,0.31981,,,0.035,*,,,high,"presence of a heating system (mean 0.99); stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,EDUCATION,education_level,F_neighbourhood,level,percent,0.01346,,,0.0,**,,,high,"percent of population 25+ with bachelor's degree or higher, by ZIP code; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,EDUCATION,education_level,F_neighbourhood,level,percent,0.0136,,,0.0,**,,,high,"percent of population 25+ with bachelor's degree or higher, by ZIP code; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,EDUCATION,education_level,F_neighbourhood,level,percent,0.01346,,,0.0,**,,,high,"percent of population 25+ with bachelor's degree or higher, by ZIP code; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,EXP-DISTBR,hazard_site,E_environment,other,feet,-0.22867,,,0.026,*,,,high,"exp(-distbr/500), distbr = Euclidean distance in feet to closest brownfield (sample within 1,000 ft); negative coefficient = discount near brownfield; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,EXP-DISTBR,hazard_site,E_environment,other,feet,-0.22844,,,0.025,*,,,high,"exp(-distbr/500), distbr = Euclidean distance in feet to closest brownfield (sample within 1,000 ft); negative coefficient = discount near brownfield; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,EXP-DISTBR,hazard_site,E_environment,other,feet,-0.25361,,,0.03,*,,,high,"exp(-distbr/500), distbr = Euclidean distance in feet to closest brownfield (sample within 1,000 ft); negative coefficient = discount near brownfield; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c1,4,OLS,9,DISTHW,highway_distance,D_location,level,feet,-6.6047e-06,,,0.017,*,,,high,"Euclidean distance to closest highway exit in feet; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,OLS,1607.0,,p,p-values in parentheses
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c2,4,SAR,9,DISTHW,highway_distance,D_location,level,feet,-5.6457e-06,,,0.041,*,,,high,"Euclidean distance to closest highway exit in feet; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_lag,1607.0,,p,"spatial autoregressive (ML), rho 0.01007; p-values in parentheses; Table 5 total impacts not extracted"
620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b,620cbd7217ca28bcea726920009e42496a17ea8b:T4-c3,4,SEM,9,DISTHW,highway_distance,D_location,level,feet,-6.7431e-06,,,0.029,*,,,high,"Euclidean distance to closest highway exit in feet; stars: ** 99% level, * 95% level; p-value printed (SE not printed)","ln(MKTVALU), 2009 appraised market value of land and improvements (USD)",log,spatial_error,1607.0,,p,"spatial error model (ML), lambda 0.32641; p-values in parentheses"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c1,3,ATE,31,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.6223,0.0946,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD),"log(sale price), nominal US$",log,OLS,2409.0,0.6394,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c2,3,Zones,31,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.4958,0.1071,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD),"log(sale price), nominal US$",log,OLS,2409.0,0.642,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c3,3,Exponential,31,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.5678,0.0888,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD),"log(sale price), nominal US$",log,OLS,2409.0,0.6393,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c4,3,Gaussian,31,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.5686,0.0887,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD),"log(sale price), nominal US$",log,OLS,2409.0,0.6394,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c1,3,ATE,31,Treatment × After Harvey,other,other,other,binary interaction,0.113,0.11,,,,,,high,DiD ATE within 1.5 miles,"log(sale price), nominal US$",log,OLS,2409.0,0.6394,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c2,3,Zones,31,Treatment × After Harvey × (<0.5 mile),other,other,other,binary interaction (buffer <0.5 mile; reference 1-1.5 miles),-0.2772,0.1268,,,**,,,high,DiD ATE by distance buffer,"log(sale price), nominal US$",log,OLS,2409.0,0.642,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c2,3,Zones,31,Treatment × After Harvey × (<1 mile),other,other,other,binary interaction (buffer 0.5-1 mile; reference 1-1.5 miles),-0.1333,0.0718,,,*,,,high,DiD ATE by distance buffer,"log(sale price), nominal US$",log,OLS,2409.0,0.642,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c3,3,Exponential,31,Treatment × After Harvey × Distance to Superfund Sites,other,other,other,interaction with negative-exponential distance transform exp(-d/0.25),-0.4415,0.2296,,,*,,,high,distance-decay DiD effect,"log(sale price), nominal US$",log,OLS,2409.0,0.6393,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T3-c4,3,Gaussian,31,Treatment × After Harvey × Distance to Superfund Sites,other,other,other,interaction with Gaussian distance transform [1-(d/1.5)]^2,-0.1699,0.0742,,,**,,,high,distance-decay DiD effect,"log(sale price), nominal US$",log,OLS,2409.0,0.6394,se,"DID without matching (transactions within 1.5 miles of impacted or non-impacted Superfund sites); specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c1,4,ATE,32,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.6067,0.1013,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD); matched sample,"log(sale price), nominal US$",log,OLS,1963.0,0.65,se,"DID with propensity-score matching; specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c2,4,Zones,32,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.4861,0.1117,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD); matched sample,"log(sale price), nominal US$",log,OLS,1963.0,0.6527,se,"DID with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c3,4,Exponential,32,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.5566,0.0907,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD); matched sample,"log(sale price), nominal US$",log,OLS,1963.0,0.65,se,"DID with propensity-score matching; specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c4,4,Gaussian,32,Treatment (home sales within 1.5 miles),hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs within 1.5 miles of non-impacted site),-0.558,0.0906,,,***,,,high,sale within 1.5 miles of a hurricane-impacted Superfund site (pre-Harvey level effect in DiD); matched sample,"log(sale price), nominal US$",log,OLS,1963.0,0.6502,se,"DID with propensity-score matching; specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c1,4,ATE,32,Treatment × After Harvey,other,other,other,binary interaction,0.1029,0.1226,,,,,,high,DiD ATE within 1.5 miles,"log(sale price), nominal US$",log,OLS,1963.0,0.65,se,"DID with propensity-score matching; specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c2,4,Zones,32,Treatment × After Harvey × (<0.5 mile),other,other,other,binary interaction (buffer <0.5 mile; reference 1-1.5 miles),-0.2876,0.1279,,,**,,,high,DiD ATE by distance buffer,"log(sale price), nominal US$",log,OLS,1963.0,0.6527,se,"DID with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c2,4,Zones,32,Treatment × After Harvey × (<1 mile),other,other,other,binary interaction (buffer 0.5-1 mile; reference 1-1.5 miles),-0.1262,0.0682,,,*,,,high,DiD ATE by distance buffer,"log(sale price), nominal US$",log,OLS,1963.0,0.6527,se,"DID with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c3,4,Exponential,32,Treatment × After Harvey × Distance to Superfund Sites,other,other,other,interaction with negative-exponential distance transform exp(-d/0.25),-0.5238,0.2123,,,**,,,high,distance-decay DiD effect,"log(sale price), nominal US$",log,OLS,1963.0,0.65,se,"DID with propensity-score matching; specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T4-c4,4,Gaussian,32,Treatment × After Harvey × Distance to Superfund Sites,other,other,other,interaction with Gaussian distance transform [1-(d/1.5)]^2,-0.1945,0.0688,,,***,,,high,distance-decay DiD effect,"log(sale price), nominal US$",log,OLS,1963.0,0.6502,se,"DID with propensity-score matching; specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c1,5,ATE,33,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.1283,0.052,,,**,,,high,DDD: pre-Harvey level effect of proximity to impacted site; reference 1.5-3 miles from impacted site,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c2,5,Zones,33,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.0691,0.051,,,,,,high,DDD: pre-Harvey level effect of proximity to impacted site; reference 1.5-3 miles from impacted site,"log(sale price), nominal US$",log,OLS,5162.0,0.6846,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c3,5,Exponential,33,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.1027,0.0527,,,*,,,high,DDD: pre-Harvey level effect of proximity to impacted site; reference 1.5-3 miles from impacted site,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c4,5,Gaussian,33,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.102,0.0524,,,*,,,high,DDD: pre-Harvey level effect of proximity to impacted site; reference 1.5-3 miles from impacted site,"log(sale price), nominal US$",log,OLS,5162.0,0.6831,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c1,5,ATE,33,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2878,0.1435,,,**,,,high,DDD: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c2,5,Zones,33,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2474,0.1428,,,*,,,high,DDD: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,5162.0,0.6846,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c3,5,Exponential,33,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2794,0.1413,,,*,,,high,DDD: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c4,5,Gaussian,33,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2789,0.1421,,,*,,,high,DDD: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,5162.0,0.6831,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c1,5,ATE,33,Treatment × After Harvey,other,other,other,binary interaction,0.0678,0.1105,,,,,,high,DDD effect,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c2,5,Zones,33,Treatment × After Harvey × (<.5 mile),other,other,other,binary interaction (buffer <0.5 mile),-0.3371,0.1013,,,***,,,high,DDD effect by buffer,"log(sale price), nominal US$",log,OLS,5162.0,0.6846,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c2,5,Zones,33,Treatment × After Harvey × (<1 mile),other,other,other,binary interaction (buffer 0.5-1 mile),-0.1181,0.0604,,,*,,,high,DDD effect by buffer,"log(sale price), nominal US$",log,OLS,5162.0,0.6846,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c3,5,Exponential,33,Treatment × After × Distance to Superfund Site,other,other,other,interaction with negative-exponential distance transform,-0.6172,0.2429,,,**,,,high,DDD distance-decay effect,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c4,5,Gaussian,33,Treatment × After × Distance to Superfund Site,other,other,other,interaction with Gaussian distance transform,-0.1885,0.0703,,,***,,,high,DDD distance-decay effect,"log(sale price), nominal US$",log,OLS,5162.0,0.6831,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c1,5,ATE,33,Control × After Harvey,other,other,other,binary interaction,-0.0657,0.052,,,,,,high,placebo: non-impacted sites after Harvey,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c2,5,Zones,33,Control × After Harvey × (<.5 mile),other,other,other,binary interaction,0.0899,0.0582,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,5162.0,0.6846,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c2,5,Zones,33,Control × After Harvey × (<1 mile),other,other,other,binary interaction,0.0022,0.0467,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,5162.0,0.6846,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c3,5,Exponential,33,Control × After Harvey × Distance to Superfund Sites,other,other,other,interaction with negative-exponential distance transform,-0.1889,0.1902,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,5162.0,0.6832,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T5-c4,5,Gaussian,33,Control × After Harvey × Distance to Superfund Sites,other,other,other,interaction with Gaussian distance transform,-0.025,0.0841,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,5162.0,0.6831,se,"DDD without matching (adds control group 1.5-3 miles from impacted sites); specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c1,6,ATE,34,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.1727,0.0653,,,***,,,high,DDD matched: pre-Harvey level effect of proximity to impacted site,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c2,6,Zones,34,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.1164,0.0614,,,*,,,high,DDD matched: pre-Harvey level effect of proximity to impacted site,"log(sale price), nominal US$",log,OLS,4444.0,0.6958,se,"DDD with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c3,6,Exponential,34,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.1483,0.0633,,,**,,,high,DDD matched: pre-Harvey level effect of proximity to impacted site,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c4,6,Gaussian,34,Treatment,hazard_site,E_environment,dummy,binary (within 1.5 miles of impacted Superfund site vs 1.5-3 miles),-0.1476,0.0628,,,**,,,high,DDD matched: pre-Harvey level effect of proximity to impacted site,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c1,6,ATE,34,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2995,0.1424,,,**,,,high,DDD matched: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c2,6,Zones,34,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2656,0.1401,,,*,,,high,DDD matched: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,4444.0,0.6958,se,"DDD with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c3,6,Exponential,34,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2917,0.1398,,,**,,,high,DDD matched: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c4,6,Gaussian,34,Control,hazard_site,E_environment,dummy,binary (within 1.5 miles of non-impacted Superfund site vs 1.5-3 miles from impacted site),0.2907,0.1408,,,**,,,high,DDD matched: level effect of proximity to a non-flooded Superfund site,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c1,6,ATE,34,Treatment × After Harvey,other,other,other,binary interaction,0.0629,0.1193,,,,,,high,DDD effect,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c2,6,Zones,34,Treatment × After Harvey × (<.5 mile),other,other,other,binary interaction (buffer <0.5 mile),-0.3454,0.1054,,,***,,,high,DDD effect by buffer,"log(sale price), nominal US$",log,OLS,4444.0,0.6958,se,"DDD with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c2,6,Zones,34,Treatment × After Harvey × (<1 mile),other,other,other,binary interaction (buffer 0.5-1 mile),-0.0949,0.0592,,,,,,high,DDD effect by buffer,"log(sale price), nominal US$",log,OLS,4444.0,0.6958,se,"DDD with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c3,6,Exponential,34,Treatment × Distance to Superfond Site,other,other,other,interaction with negative-exponential distance transform (post-Harvey),-0.6705,0.2602,,,**,,,high,DDD distance-decay effect; row label printed 'Treatment × Distance to Superfond Site' (After omitted in label),"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c4,6,Gaussian,34,Treatment × Distance to Superfond Site,other,other,other,interaction with Gaussian distance transform (post-Harvey),-0.2055,0.0728,,,***,,,high,DDD distance-decay effect; row label as printed,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c1,6,ATE,34,Control × After Harvey,other,other,other,binary interaction,-0.0567,0.0559,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification ATE; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c2,6,Zones,34,Control × After Harvey × (<.5 mile),other,other,other,binary interaction,0.1155,0.0896,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,4444.0,0.6958,se,"DDD with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c2,6,Zones,34,Control × After Harvey × (<1 mile),other,other,other,binary interaction,-0.0182,0.0445,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,4444.0,0.6958,se,"DDD with propensity-score matching; specification Zones; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c3,6,Exponential,34,Control × After Harvey × Distance to Superfund Sites,other,other,other,interaction with negative-exponential distance transform,-0.1927,0.205,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Exponential; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b,63065c2cad027c9578aace5fb84b3bd4ba000e2b:T6-c4,6,Gaussian,34,Control × After Harvey × Distance to Superfund Sites,other,other,other,interaction with Gaussian distance transform,-0.0128,0.0914,,,,,,high,placebo,"log(sale price), nominal US$",log,OLS,4444.0,0.6944,se,"DDD with propensity-score matching; specification Gaussian; structural and spatial controls, year FE, parallel-trend terms and census-tract FE included but not reported"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A1,2,Panel A (1),30,Interim × Near,water_quality,E_environment,other,binary,0.0309,0.0109,,,***,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-500m.","Log(sales price), 2015 USD",log,OLS,70521.0,0.8651,se,"Sales market (transaction prices); treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A1,2,Panel A (1),30,Post × Near,water_quality,E_environment,other,binary,0.0384,0.0155,,,**,,,high,DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-500m.,"Log(sales price), 2015 USD",log,OLS,70521.0,0.8651,se,"Sales market (transaction prices); treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A2,2,Panel A (2),30,Interim × Near,water_quality,E_environment,other,binary,0.0193,0.0102,,,*,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-600m.","Log(sales price), 2015 USD",log,OLS,73702.0,0.8642,se,"Sales market (transaction prices); treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A2,2,Panel A (2),30,Post × Near,water_quality,E_environment,other,binary,0.0272,0.0154,,,*,,,high,DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-600m.,"Log(sales price), 2015 USD",log,OLS,73702.0,0.8642,se,"Sales market (transaction prices); treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A3,2,Panel A (3),30,Interim × Near,water_quality,E_environment,other,binary,0.0133,0.01,,,,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-700m.","Log(sales price), 2015 USD",log,OLS,75582.0,0.8639,se,"Sales market (transaction prices); treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A3,2,Panel A (3),30,Post × Near,water_quality,E_environment,other,binary,0.0253,0.0154,,,,,,high,DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-700m.,"Log(sales price), 2015 USD",log,OLS,75582.0,0.8639,se,"Sales market (transaction prices); treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A4,2,Panel A (4),30,Interim × Near,water_quality,E_environment,other,binary,0.0117,0.0093,,,,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-800m.","Log(sales price), 2015 USD",log,OLS,77308.0,0.8642,se,"Sales market (transaction prices); treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A4,2,Panel A (4),30,Post × Near,water_quality,E_environment,other,binary,0.0235,0.0141,,,,,,high,DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-800m.,"Log(sales price), 2015 USD",log,OLS,77308.0,0.8642,se,"Sales market (transaction prices); treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A5,2,Panel A (5),30,Interim × Near,water_quality,E_environment,other,binary,0.0128,0.0091,,,,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-900m.","Log(sales price), 2015 USD",log,OLS,78815.0,0.8638,se,"Sales market (transaction prices); treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A5,2,Panel A (5),30,Post × Near,water_quality,E_environment,other,binary,0.0233,0.0138,,,*,,,high,DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-900m.,"Log(sales price), 2015 USD",log,OLS,78815.0,0.8638,se,"Sales market (transaction prices); treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A6,2,Panel A (6),30,Interim × Near,water_quality,E_environment,other,binary,0.0103,0.0085,,,,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-1,000m.","Log(sales price), 2015 USD",log,OLS,80924.0,0.8637,se,"Sales market (transaction prices); treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A6,2,Panel A (6),30,Post × Near,water_quality,E_environment,other,binary,0.0195,0.0132,,,,,,high,"DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-1,000m.","Log(sales price), 2015 USD",log,OLS,80924.0,0.8637,se,"Sales market (transaction prices); treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A7,2,Panel A (7),30,Interim × Near,water_quality,E_environment,other,binary,0.0104,0.0083,,,,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-1,100m.","Log(sales price), 2015 USD",log,OLS,82574.0,0.864,se,"Sales market (transaction prices); treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A7,2,Panel A (7),30,Post × Near,water_quality,E_environment,other,binary,0.0175,0.0132,,,,,,high,"DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-1,100m.","Log(sales price), 2015 USD",log,OLS,82574.0,0.864,se,"Sales market (transaction prices); treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A8,2,Panel A (8),30,Interim × Near,water_quality,E_environment,other,binary,0.0091,0.0079,,,,,,high,"DiD interaction: within buffer x period after BOWB listed for restoration, before completion (water-quality improvement announced). Buffer 0-1,200m.","Log(sales price), 2015 USD",log,OLS,84547.0,0.8645,se,"Sales market (transaction prices); treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-A8,2,Panel A (8),30,Post × Near,water_quality,E_environment,other,binary,0.0149,0.0129,,,,,,high,"DiD interaction: within buffer x period after restoration completed (water-quality improvement realised). Buffer 0-1,200m.","Log(sales price), 2015 USD",log,OLS,84547.0,0.8645,se,"Sales market (transaction prices); treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B1,2,Panel B (1),30,Interim × Near,water_quality,E_environment,other,binary,0.0593,0.0179,,,***,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-500m.","Log(monthly rent), 2015 USD",log,OLS,63283.0,0.8799,se,"Rental market (price_type = rent); treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B1,2,Panel B (1),30,Post × Near,water_quality,E_environment,other,binary,0.0808,0.0223,,,***,,,high,DiD interaction (rent): within buffer x after restoration completed. Buffer 0-500m.,"Log(monthly rent), 2015 USD",log,OLS,63283.0,0.8799,se,"Rental market (price_type = rent); treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B2,2,Panel B (2),30,Interim × Near,water_quality,E_environment,other,binary,0.0415,0.019,,,**,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-600m.","Log(monthly rent), 2015 USD",log,OLS,65502.0,0.8794,se,"Rental market (price_type = rent); treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B2,2,Panel B (2),30,Post × Near,water_quality,E_environment,other,binary,0.0547,0.0244,,,**,,,high,DiD interaction (rent): within buffer x after restoration completed. Buffer 0-600m.,"Log(monthly rent), 2015 USD",log,OLS,65502.0,0.8794,se,"Rental market (price_type = rent); treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B3,2,Panel B (3),30,Interim × Near,water_quality,E_environment,other,binary,0.0336,0.0179,,,*,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-700m.","Log(monthly rent), 2015 USD",log,OLS,67124.0,0.8795,se,"Rental market (price_type = rent); treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B3,2,Panel B (3),30,Post × Near,water_quality,E_environment,other,binary,0.048,0.0237,,,**,,,high,DiD interaction (rent): within buffer x after restoration completed. Buffer 0-700m.,"Log(monthly rent), 2015 USD",log,OLS,67124.0,0.8795,se,"Rental market (price_type = rent); treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B4,2,Panel B (4),30,Interim × Near,water_quality,E_environment,other,binary,0.0302,0.0164,,,*,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-800m.","Log(monthly rent), 2015 USD",log,OLS,68711.0,0.8794,se,"Rental market (price_type = rent); treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B4,2,Panel B (4),30,Post × Near,water_quality,E_environment,other,binary,0.0429,0.0215,,,*,,,high,DiD interaction (rent): within buffer x after restoration completed. Buffer 0-800m.,"Log(monthly rent), 2015 USD",log,OLS,68711.0,0.8794,se,"Rental market (price_type = rent); treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B5,2,Panel B (5),30,Interim × Near,water_quality,E_environment,other,binary,0.0292,0.0152,,,*,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-900m.","Log(monthly rent), 2015 USD",log,OLS,70282.0,0.879,se,"Rental market (price_type = rent); treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B5,2,Panel B (5),30,Post × Near,water_quality,E_environment,other,binary,0.039,0.0201,,,*,,,high,DiD interaction (rent): within buffer x after restoration completed. Buffer 0-900m.,"Log(monthly rent), 2015 USD",log,OLS,70282.0,0.879,se,"Rental market (price_type = rent); treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B6,2,Panel B (6),30,Interim × Near,water_quality,E_environment,other,binary,0.0312,0.0135,,,**,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-1,000m.","Log(monthly rent), 2015 USD",log,OLS,71757.0,0.8784,se,"Rental market (price_type = rent); treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B6,2,Panel B (6),30,Post × Near,water_quality,E_environment,other,binary,0.0387,0.0182,,,**,,,high,"DiD interaction (rent): within buffer x after restoration completed. Buffer 0-1,000m.","Log(monthly rent), 2015 USD",log,OLS,71757.0,0.8784,se,"Rental market (price_type = rent); treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B7,2,Panel B (7),30,Interim × Near,water_quality,E_environment,other,binary,0.0286,0.0127,,,**,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-1,100m.","Log(monthly rent), 2015 USD",log,OLS,73338.0,0.8791,se,"Rental market (price_type = rent); treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B7,2,Panel B (7),30,Post × Near,water_quality,E_environment,other,binary,0.0354,0.0169,,,**,,,high,"DiD interaction (rent): within buffer x after restoration completed. Buffer 0-1,100m.","Log(monthly rent), 2015 USD",log,OLS,73338.0,0.8791,se,"Rental market (price_type = rent); treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B8,2,Panel B (8),30,Interim × Near,water_quality,E_environment,other,binary,0.0296,0.0124,,,**,,,high,"DiD interaction (rent): within buffer x after BOWB listing, before completion. Buffer 0-1,200m.","Log(monthly rent), 2015 USD",log,OLS,75001.0,0.8795,se,"Rental market (price_type = rent); treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T2-B8,2,Panel B (8),30,Post × Near,water_quality,E_environment,other,binary,0.0361,0.0163,,,**,,,high,"DiD interaction (rent): within buffer x after restoration completed. Buffer 0-1,200m.","Log(monthly rent), 2015 USD",log,OLS,75001.0,0.8795,se,"Rental market (price_type = rent); treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; difference-in-differences"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A1,3,Panel A (1),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0388,0.0182,,,**,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-500m.","Log(sales price), 2015 USD",log,OLS,101542.0,0.8478,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A1,3,Panel A (1),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.0486,0.019,,,**,,,high,Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-500m.,"Log(sales price), 2015 USD",log,OLS,101542.0,0.8478,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A2,3,Panel A (2),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0301,0.0163,,,*,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-600m.","Log(sales price), 2015 USD",log,OLS,108110.0,0.8476,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A2,3,Panel A (2),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.0353,0.0179,,,*,,,high,Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-600m.,"Log(sales price), 2015 USD",log,OLS,108110.0,0.8476,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A3,3,Panel A (3),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0261,0.0164,,,,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-700m.","Log(sales price), 2015 USD",log,OLS,113477.0,0.8476,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A3,3,Panel A (3),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.0353,0.0185,,,*,,,high,Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-700m.,"Log(sales price), 2015 USD",log,OLS,113477.0,0.8476,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A4,3,Panel A (4),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0247,0.0159,,,,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-800m.","Log(sales price), 2015 USD",log,OLS,118147.0,0.8497,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A4,3,Panel A (4),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.0333,0.017,,,*,,,high,Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-800m.,"Log(sales price), 2015 USD",log,OLS,118147.0,0.8497,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A5,3,Panel A (5),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0297,0.0143,,,**,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-900m.","Log(sales price), 2015 USD",log,OLS,122778.0,0.8499,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A5,3,Panel A (5),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.035,0.0162,,,**,,,high,Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-900m.,"Log(sales price), 2015 USD",log,OLS,122778.0,0.8499,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A6,3,Panel A (6),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0244,0.0136,,,*,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-1,000m.","Log(sales price), 2015 USD",log,OLS,127301.0,0.8499,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A6,3,Panel A (6),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.0306,0.016,,,*,,,high,"Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-1,000m.","Log(sales price), 2015 USD",log,OLS,127301.0,0.8499,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A7,3,Panel A (7),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0239,0.0124,,,*,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-1,100m.","Log(sales price), 2015 USD",log,OLS,130953.0,0.8513,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A7,3,Panel A (7),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.0275,0.0154,,,*,,,high,"Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-1,100m.","Log(sales price), 2015 USD",log,OLS,130953.0,0.8513,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A8,3,Panel A (8),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.0219,0.0119,,,*,,,high,"Triple-difference interaction: BOWB (vs clean water body) x within buffer x after listing, before completion. Buffer 0-1,200m.","Log(sales price), 2015 USD",log,OLS,134272.0,0.852,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-A8,3,Panel A (8),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.023,0.0152,,,,,,high,"Triple-difference interaction: BOWB x within buffer x after restoration completed. Buffer 0-1,200m.","Log(sales price), 2015 USD",log,OLS,134272.0,0.852,se,"Sales market (transaction prices); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B1,3,Panel B (1),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1369,0.0364,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-500m.","Log(monthly rent), 2015 USD",log,OLS,93166.0,0.855,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B1,3,Panel B (1),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1685,0.0457,,,***,,,high,Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-500m.,"Log(monthly rent), 2015 USD",log,OLS,93166.0,0.855,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-500m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B2,3,Panel B (2),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1139,0.0354,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-600m.","Log(monthly rent), 2015 USD",log,OLS,98950.0,0.8539,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B2,3,Panel B (2),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1399,0.0446,,,***,,,high,Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-600m.,"Log(monthly rent), 2015 USD",log,OLS,98950.0,0.8539,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-600m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B3,3,Panel B (3),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1167,0.0334,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-700m.","Log(monthly rent), 2015 USD",log,OLS,104009.0,0.8542,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B3,3,Panel B (3),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1453,0.0429,,,***,,,high,Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-700m.,"Log(monthly rent), 2015 USD",log,OLS,104009.0,0.8542,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-700m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B4,3,Panel B (4),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1189,0.0339,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-800m.","Log(monthly rent), 2015 USD",log,OLS,108356.0,0.8558,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B4,3,Panel B (4),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1448,0.0434,,,***,,,high,Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-800m.,"Log(monthly rent), 2015 USD",log,OLS,108356.0,0.8558,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-800m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B5,3,Panel B (5),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1199,0.0343,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-900m.","Log(monthly rent), 2015 USD",log,OLS,113663.0,0.8567,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B5,3,Panel B (5),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1439,0.0442,,,***,,,high,Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-900m.,"Log(monthly rent), 2015 USD",log,OLS,113663.0,0.8567,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-900m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B6,3,Panel B (6),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1191,0.0334,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-1,000m.","Log(monthly rent), 2015 USD",log,OLS,117542.0,0.8548,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B6,3,Panel B (6),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1416,0.043,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-1,000m.","Log(monthly rent), 2015 USD",log,OLS,117542.0,0.8548,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,000m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B7,3,Panel B (7),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1164,0.0326,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-1,100m.","Log(monthly rent), 2015 USD",log,OLS,121283.0,0.8558,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B7,3,Panel B (7),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1375,0.0416,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-1,100m.","Log(monthly rent), 2015 USD",log,OLS,121283.0,0.8558,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,100m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B8,3,Panel B (8),31,Treat × Interim × Near,water_quality,E_environment,other,binary,0.1133,0.0318,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after listing, before completion. Buffer 0-1,200m.","Log(monthly rent), 2015 USD",log,OLS,124185.0,0.8563,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523,63d3e41634a76fe68a3edb5f056b73b7098ad523:T3-B8,3,Panel B (8),31,Treat × Post × Near,water_quality,E_environment,other,binary,0.1338,0.0405,,,***,,,high,"Triple-difference interaction (rent): BOWB x within buffer x after restoration completed. Buffer 0-1,200m.","Log(monthly rent), 2015 USD",log,OLS,124185.0,0.8563,se,"Rental market (price_type = rent); sample adds properties near connected clean water bodies as controls; treatment buffer Near = 0-1,200m of a BOWB, control 1,200-3,000 m; month, BOWB, ring-road and district x year FE; triple difference"
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,APARTMENT,dwelling_type,A_structural,dummy,binary,-31.73,23.84,,0.1836,,,,high,Dwelling type dummy,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,SINGLE FAMILY HOME,dwelling_type,A_structural,dummy,binary,40.99,35.88,,0.2536,,,,high,Dwelling type dummy,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,LIVING AREA (m2),living_area,A_structural,level,m2,1.88,0.28,,0.0001,,,,high,,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,GARAGE,garage,A_structural,dummy,binary,112.63,27.5,,0.0001,,,,high,,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,TITLE & CONST. PERMIT,other,other,dummy,binary,38.83,19.73,,0.0494,,,,high,Legal title and construction permit (formal legal status),"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,BUILT BY A BUILDER,other,other,dummy,binary,28.9,20.47,,0.1585,,,,high,Property built by a professional builder,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,TENANT,other,other,dummy,binary,16.2,17.18,,0.3458,,,,high,Respondent is a tenant (occupancy status),"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,FAMILY INCOME < 3M,other,other,dummy,binary,-942.8,161.46,,0.0001,,,,high,Household income category dummy (million TL/month); occupant characteristic,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,"FAMILY INCOME [3M,5M]",other,other,dummy,binary,-937.5,160.96,,0.0001,,,,high,Household income category dummy,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,"FAMILY INCOME [5M,9M]",other,other,dummy,binary,-839.67,162.29,,0.0001,,,,high,Household income category dummy,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,"FAMILY INCOME [9M,14M]",other,other,dummy,binary,-904.74,165.56,,0.0001,,,,high,Household income category dummy,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,"FAMILY INCOME [15M,20M]",other,other,dummy,binary,-896.64,170.7,,0.0001,,,,high,Household income category dummy,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,GREEN AREA/VERY HAPPY,green_space,E_environment,other,binary,237.47,55.74,,0.0001,,,,high,Occupant very satisfied with green areas (satisfaction dummy),"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,RECREATIONAL FACILITIES/VERY HAPPY,neighbourhood_amenities,F_neighbourhood,other,binary,-108.77,79.89,,0.1738,,,,high,Occupant very satisfied with nearby recreational facilities,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,NOISE IN THE BUILDING/UNHAPPY,noise,E_environment,other,binary,-24.77,18.54,,0.182,,,,high,Occupant unhappy with nearby noise (satisfaction dummy),"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,NEIGHBOR. RELATIONS/HAPPY,other,other,other,binary,21.86,22.82,,0.3384,,,,high,Satisfaction with neighbourhood relations,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,NEIGHBOR. RELATIONS/UNHAPPY,other,other,other,binary,50.0,29.74,,0.0931,,,,high,Satisfaction with neighbourhood relations,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,VIEW/VERY HAPPY,view,E_environment,other,binary,-59.09,44.96,,0.1892,,,,high,Occupant very satisfied with view,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,VIEW/UNHAPPY,view,E_environment,other,binary,-27.92,16.99,,0.1007,,,,high,Occupant unhappy with view,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T2-value,2,1,23,SHOPPING FACILITIES/HAPPY,commercial_distance,D_location,other,binary,23.37,18.12,,0.1976,,,,high,Occupant satisfied with shopping facilities,"Self-assessed property value (price you would ask, thousand TL)",level,OLS,795.0,0.263,none,All surveyed households (owners and tenants); adj R2 0.235
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,LIVING AREA - M2,living_area,A_structural,level,m2,0.52,0.091,,0.0001,,,,high,,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,GARAGE,garage,A_structural,dummy,binary,57.45,8.66,,0.0001,,,,high,,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,TITLE & CONST. PERMIT,other,other,dummy,binary,20.43,6.2,,0.001,,,,high,Legal title and construction permit,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,BUILT BY A COOPERATIVE,other,other,dummy,binary,59.59,11.44,,0.0001,,,,high,Built by a housing cooperative,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,BUILT BY A BUILDER,other,other,dummy,binary,23.38,6.16,,0.0002,,,,high,Built by a professional builder,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,OWNER,other,other,dummy,binary,12.76,5.51,,0.0209,,,,high,Respondent is owner-occupier,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,TENANT - RENT FREE,other,other,dummy,binary,13.38,12.25,,0.2749,,,,high,Rent-free tenant,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,FAMILY INCOME < 3M,other,other,dummy,binary,156.2,52.03,,0.0028,,,,high,Household income category dummy,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,"FAMILY INCOME [3M,5M]",other,other,dummy,binary,164.82,51.81,,0.0015,,,,high,Household income category dummy,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,"FAMILY INCOME [5M,9M]",other,other,dummy,binary,196.45,52.13,,0.0002,,,,high,Household income category dummy,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,"FAMILY INCOME [9M,14M]",other,other,dummy,binary,241.57,53.37,,0.0001,,,,high,Household income category dummy,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,"FAMILY INCOME [15M,20M]",other,other,dummy,binary,233.21,54.71,,0.0001,,,,high,Household income category dummy,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,TRANSPORTATION/VERY HAPPY,transit_distance,D_location,other,binary,61.96,15.43,,0.0001,,,,high,Occupant very satisfied with transportation (satisfaction dummy),"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,TRANSPORTATION/HAPPY,transit_distance,D_location,other,binary,18.88,11.76,,0.109,,,,high,Occupant satisfied with transportation,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,TRANSPORTATION/UNHAPPY,transit_distance,D_location,other,binary,15.33,12.3,,0.2131,,,,high,Occupant unhappy with transportation,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,GREEN AREA/VERY HAPPY,green_space,E_environment,other,binary,86.04,18.05,,0.0001,,,,high,Occupant very satisfied with green areas,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,RECREATIONAL FACILITIES/VERY HAPPY,neighbourhood_amenities,F_neighbourhood,other,binary,-34.58,25.87,,0.1817,,,,high,Very satisfied with recreational facilities,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,RECREATIONAL FACILITIES/UNHAPPY,neighbourhood_amenities,F_neighbourhood,other,binary,-10.83,5.63,,0.0547,,,,high,Unhappy with recreational facilities,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,NEIGHBOR. RELATIONS/UNHAPPY,other,other,other,binary,12.49,7.44,,0.0937,,,,high,Unhappy with neighbourhood relations,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,VIEW/VERY HAPPY,view,E_environment,other,binary,-38.34,14.35,,0.0077,,,,high,Very satisfied with view,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,VIEW/UNHAPPY,view,E_environment,other,binary,6.75,5.4,,0.2115,,,,high,Unhappy with view,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,SHOPPING FACILITIES/HAPPY,commercial_distance,D_location,other,binary,14.88,8.92,,0.0958,,,,high,Satisfied with shopping facilities,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd,63f327f2d844daf6ba970bc6d5f6ab1fc9861dfd:T3-rent,3,1,25,SHOPPING FACILITIES/UNHAPPY,commercial_distance,D_location,other,binary,12.2,10.41,,0.2415,,,,high,Unhappy with shopping facilities,"Self-assessed monthly rent (rent you would charge, thousand TL)",level,OLS,795.0,0.4443,none,All surveyed households; adj R2 0.4195
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Area (Sq. M.),living_area,A_structural,level,m2,0.018,0.001,23.435,0.0,,,,high,Floor area of flat in m2 (quadratic specification with Area^2),"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Residents with university degree (%),education_level,F_neighbourhood,level,"percentage points (share of residents with university degree, census tract, 300 m buffer)",0.005,0.001,4.452,0.0,,,,high,"2001 census, census-tract level","ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,AC,air_conditioning,A_structural,binary,binary,0.101,0.013,7.503,0.0,,,,high,Air conditioning dummy,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Area (Sq. M.)^2,living_area,A_structural,squared,m2 squared,-4.104e-05,,-11.88,0.0,,,,high,"Squared floor area; SE printed as 0.000 (rounded), not recorded; t = -11.880","ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Built density,density,F_neighbourhood,level,"floor area ratio (m2 of floor space per m2 of land, zone)",0.038,0.006,6.264,0.0,,,,high,Built density of the zone used as a continuous centrality indicator; not population density,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Interaction lift*story level,floor_level,A_structural,other,"storey number x (+1 if lift present, -1 otherwise)",0.013,0.002,5.846,0.0,,,,high,Interaction of floor level with lift presence (coded +1/-1); x_transform other,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Swiming pool,pool,C_exterior,binary,binary,0.136,0.026,5.204,0.0,,,,high,Condominium swimming pool dummy,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Number of baths,bathrooms,A_structural,level,count,0.062,0.012,5.189,0.0,,,,high,Number of bathrooms,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Heating,heating,A_structural,binary,binary,0.046,0.013,3.453,0.001,,,,high,Heating dummy,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,PCA factor for high professional profile,other,other,level,"PCA factor score (socio-professional status of residents, zone)",0.061,0.014,4.466,0.0,,,,high,Neighbourhood socio-professional status (managerial/professional residents); taxonomy other,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Residential buildings with doorkeeper (%),other,other,level,"percentage points (share of residential buildings with doorkeeper service, zone)",0.005,0.001,4.128,0.0,,,,high,Neighbourhood status proxy; taxonomy other,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Centrality synthetic index,employment_access,D_location,level,"index (DP2 synthetic centrality index from spatio-temporal behaviour of population, range 2.52-20.41)",0.01,0.003,3.481,0.001,,,,high,"Continuous centrality indicator based on time-geography (activities, not only employment); mapped to employment_access as an accessibility index","ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Renewal,renovation,A_structural,binary,binary,0.043,0.017,2.512,0.012,,,,high,Renewed/renovated flat dummy,"ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e,66b74975968370c75371207845d963de2413a23e:T3-m14,3,Model 14,7,Energy qualification,energy_efficiency,A_structural,level,"ordinal 1-7 EPC class (Table 1 codes 1=A most efficient, 7=G least efficient)",0.009,0.004,2.076,0.038,,,,medium,"Positive coefficient interpreted by the author as +0.9% per step up the efficiency ladder (A-G gap 5.11%), which implies the regression coding runs from least to most efficient, opposite to the Table 1 note; direction ambiguous","ln asking (listing) price of flat, euros",log,OLS,3479.0,0.653,se,"Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c1,2,1,19,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,0.0015,0.0279,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4541,se,"(1) full sample, no neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c1,2,1,19,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.0064,0.0162,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4541,se,"(1) full sample, no neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c1,2,1,19,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.0123,0.0142,,,,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4541,se,"(1) full sample, no neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c1,2,1,19,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0141,0.0208,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4541,se,"(1) full sample, no neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c2,2,2,19,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,0.009,0.028,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4558,se,"(2) full sample + neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c2,2,2,19,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.0005,0.0171,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4558,se,"(2) full sample + neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c2,2,2,19,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.0071,0.0143,,,,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4558,se,"(2) full sample + neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c2,2,2,19,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0106,0.0217,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4558,se,"(2) full sample + neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c2,2,2,19,"DISTi,MOT 10 min",highway_distance,D_location,dummy,minutes,-0.0551,0.0194,,,***,,,high,Dummy: within 10 min driving distance of a motorway access point; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,129521.0,0.4558,se,"(2) full sample + neighbourhood controls; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c3,2,3,19,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,0.0077,0.0296,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,90745.0,0.4738,se,"(3) walking distance to station <= 40 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c3,2,3,19,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.006,0.0168,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,90745.0,0.4738,se,"(3) walking distance to station <= 40 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c3,2,3,19,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.0066,0.0144,,,,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,90745.0,0.4738,se,"(3) walking distance to station <= 40 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c3,2,3,19,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.016,0.0187,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,90745.0,0.4738,se,"(3) walking distance to station <= 40 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c3,2,3,19,"DISTi,MOT 10 min",highway_distance,D_location,dummy,minutes,-0.0659,0.0235,,,***,,,high,Dummy: within 10 min driving distance of a motorway access point; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,90745.0,0.4738,se,"(3) walking distance to station <= 40 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c4,2,4,19,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,0.0261,0.0797,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,13283.0,0.4458,se,"(4) <= 40 min walk & commuting 60-40 min to Berlin; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c4,2,4,19,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.0167,0.0306,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,13283.0,0.4458,se,"(4) <= 40 min walk & commuting 60-40 min to Berlin; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c4,2,4,19,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,0.0356,0.0348,,,,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,13283.0,0.4458,se,"(4) <= 40 min walk & commuting 60-40 min to Berlin; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c4,2,4,19,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0055,0.0493,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,13283.0,0.4458,se,"(4) <= 40 min walk & commuting 60-40 min to Berlin; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c4,2,4,19,"DISTi,MOT 10 min",highway_distance,D_location,dummy,minutes,-0.0586,0.0555,,,,,,high,Dummy: within 10 min driving distance of a motorway access point; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,13283.0,0.4458,se,"(4) <= 40 min walk & commuting 60-40 min to Berlin; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c5,2,5,19,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,0.048,0.0289,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,34930.0,0.5127,se,"(5) <= 40 min walk & commuting 40-30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c5,2,5,19,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.0036,0.0233,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,34930.0,0.5127,se,"(5) <= 40 min walk & commuting 40-30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c5,2,5,19,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.0069,0.0208,,,,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,34930.0,0.5127,se,"(5) <= 40 min walk & commuting 40-30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c5,2,5,19,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.009,0.0204,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,34930.0,0.5127,se,"(5) <= 40 min walk & commuting 40-30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c5,2,5,19,"DISTi,MOT 10 min",highway_distance,D_location,dummy,minutes,-0.0561,0.0392,,,,,,high,Dummy: within 10 min driving distance of a motorway access point; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,34930.0,0.5127,se,"(5) <= 40 min walk & commuting 40-30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c6,2,6,19,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,-0.0735,0.0578,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,36117.0,0.5258,se,"(6) <= 40 min walk & commuting <= 30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c6,2,6,19,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.0139,0.0236,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,36117.0,0.5258,se,"(6) <= 40 min walk & commuting <= 30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c6,2,6,19,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.0284,0.0202,,,,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,36117.0,0.5258,se,"(6) <= 40 min walk & commuting <= 30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c6,2,6,19,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0269,0.0232,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,36117.0,0.5258,se,"(6) <= 40 min walk & commuting <= 30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T2-c6,2,6,19,"DISTi,MOT 10 min",highway_distance,D_location,dummy,minutes,-0.0527,0.0329,,,,,,high,Dummy: within 10 min driving distance of a motorway access point; pre-LEZ level effect of distance band (DiD base term); POST x DIST interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,36117.0,0.5258,se,"(6) <= 40 min walk & commuting <= 30 min; municipality and quarter FE; SE clustered at municipality level; within R2; property characteristics (living space, base area, rooms, age, under construction, detached) included but NOT printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c1,6,1,42,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,-0.0844,0.0583,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5337,se,"(1) commuting <= 30 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c1,6,1,42,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.028,0.0253,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5337,se,"(1) commuting <= 30 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c1,6,1,42,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.0385,0.0212,,,*,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5337,se,"(1) commuting <= 30 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c1,6,1,42,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0297,0.0222,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5337,se,"(1) commuting <= 30 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c2,6,2,42,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,-0.1693,0.1056,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5336,se,"(2) commuting <= 30 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c2,6,2,42,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.1354,0.0416,,,***,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5336,se,"(2) commuting <= 30 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c2,6,2,42,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.0708,0.0375,,,*,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5336,se,"(2) commuting <= 30 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c2,6,2,42,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0928,0.05,,,*,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,48450.0,0.5336,se,"(2) commuting <= 30 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c3,6,3,42,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,0.0474,0.0286,,,*,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5355,se,"(3) commuting > 30-40 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c3,6,3,42,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.007,0.0249,,,,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5355,se,"(3) commuting > 30-40 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c3,6,3,42,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.009,0.0208,,,,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5355,se,"(3) commuting > 30-40 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c3,6,3,42,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0101,0.0211,,,,,,high,Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5355,se,"(3) commuting > 30-40 min, semi-annual post effects; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c4,6,4,42,"DISTi,STN 5 min",transit_distance,D_location,dummy,minutes,0.0495,0.0594,,,,,,high,Dummy: house within 5 min walking distance of a train station (reference: beyond 20 min / beyond 40 min in restricted samples); pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5359,se,"(4) commuting > 30-40 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c4,6,4,42,"DISTi,STN 5−10 min",transit_distance,D_location,dummy,minutes,-0.0742,0.0416,,,*,,,high,Dummy: 5-10 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5359,se,"(4) commuting > 30-40 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c4,6,4,42,"DISTi,STN 10−15 min",transit_distance,D_location,dummy,minutes,-0.1258,0.0403,,,***,,,high,Dummy: 10-15 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted,"log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5359,se,"(4) commuting > 30-40 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa,670518142f78514470ad2ea85cc37f0ccb4483aa:T6-c4,6,4,42,"DISTi,STN 15−20 min",transit_distance,D_location,dummy,minutes,-0.0044,0.0394,,,*,,,high,"Dummy: 15-20 min walking distance to train station; pre-LEZ level effect of distance band; POST x DIST and trend interactions not extracted; star placement for this cell ambiguous in flattened text (0.0044 (0.0394) *) - likely a transcription artefact, beta/se=0.11","log nominal posted (listing) house price, EUR",log,OLS,47949.0,0.5359,se,"(4) commuting > 30-40 min, with linear trend; extended post period to end 2012; walking distance <= 40 min; bootstrapped SEs (500 reps); municipality and quarter FE; property and neighbourhood controls included but not printed"
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,Surface (m2),living_area,A_structural,level,m2,-0.003,,,,***,-0.003,-0.003,high,"dependent is price per m2, hence negative",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,Surface (m2),living_area,A_structural,level,m2,-0.003,,,,***,-0.003,-0.002,high,"dependent is price per m2, hence negative",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,Surface (m2),living_area,A_structural,level,m2,-0.003,,,,***,-0.004,-0.003,high,"dependent is price per m2, hence negative",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,Bathrooms,bathrooms,A_structural,level,count,0.149,,,,***,0.118,0.179,high,,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,Bathrooms,bathrooms,A_structural,level,count,0.091,,,,***,0.047,0.136,high,,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,Bathrooms,bathrooms,A_structural,level,count,0.17,,,,***,0.129,0.212,high,,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,EPC: >=A,energy_efficiency,A_structural,dummy,binary,0.506,,,,***,0.459,0.553,high,EPC class A (A4-A1) vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,EPC: >=A,energy_efficiency,A_structural,dummy,binary,0.473,,,,***,0.41,0.536,high,EPC class A (A4-A1) vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,EPC: >=A,energy_efficiency,A_structural,dummy,binary,0.517,,,,***,0.449,0.585,high,EPC class A (A4-A1) vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,EPC: B,energy_efficiency,A_structural,dummy,binary,0.361,,,,***,0.265,0.458,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,EPC: B,energy_efficiency,A_structural,dummy,binary,0.312,,,,***,0.202,0.421,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,EPC: B,energy_efficiency,A_structural,dummy,binary,0.361,,,,***,0.2,0.522,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,EPC: C,energy_efficiency,A_structural,dummy,binary,0.253,,,,***,0.167,0.339,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,EPC: C,energy_efficiency,A_structural,dummy,binary,0.183,,,,***,0.08,0.287,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,EPC: C,energy_efficiency,A_structural,dummy,binary,0.321,,,,***,0.185,0.457,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,EPC: D,energy_efficiency,A_structural,dummy,binary,0.245,,,,***,0.192,0.299,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,EPC: D,energy_efficiency,A_structural,dummy,binary,0.165,,,,***,0.089,0.241,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,EPC: D,energy_efficiency,A_structural,dummy,binary,0.279,,,,***,0.205,0.352,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,EPC: E,energy_efficiency,A_structural,dummy,binary,0.091,,,,***,0.043,0.139,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,EPC: E,energy_efficiency,A_structural,dummy,binary,0.077,,,,**,0.016,0.139,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,EPC: E,energy_efficiency,A_structural,dummy,binary,0.095,,,,***,0.025,0.166,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,EPC: F,energy_efficiency,A_structural,dummy,binary,0.071,,,,***,0.029,0.113,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,EPC: F,energy_efficiency,A_structural,dummy,binary,0.026,,,,,-0.032,0.084,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,EPC: F,energy_efficiency,A_structural,dummy,binary,0.097,,,,***,0.039,0.155,high,vs G,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,Elevator (present),accessibility,B_interior,binary,binary,0.103,,,,***,0.07,0.135,high,,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,Elevator (present),accessibility,B_interior,binary,binary,0.093,,,,***,0.049,0.136,high,,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,Elevator (present),accessibility,B_interior,binary,binary,0.093,,,,***,0.047,0.139,high,,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c1,3,Full sample,10,Alarm System (present),other,other,binary,binary,0.033,,,,*,-0.005,0.07,high,alarm system present,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.55,none,full sample 2022-2023
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c2,3,year=2022,10,Alarm System (present),other,other,binary,binary,0.087,,,,***,0.037,0.138,high,alarm system present,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,0.622,none,2022 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T3-c3,3,year=2023,10,Alarm System (present),other,other,binary,binary,0.005,,,,,-0.049,0.059,high,alarm system present,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,0.529,none,2023 listings
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,Surface (m2),living_area,A_structural,level,m2,-0.003,,,,***,-0.003,-0.003,high,dependent is price per m2,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,Bathrooms,bathrooms,A_structural,level,count,0.122,,,,***,0.081,0.163,high,2022 base level; 2023 x Bathrooms interaction 0.036 (ns) not extracted,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,>=A,energy_efficiency,A_structural,dummy,binary,0.466,,,,***,0.392,0.54,high,"EPC >=A vs G, 2022 base level",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,B,energy_efficiency,A_structural,dummy,binary,0.311,,,,***,0.182,0.439,high,"EPC B vs G, 2022 base level",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,C,energy_efficiency,A_structural,dummy,binary,0.18,,,,***,0.059,0.301,high,"EPC C vs G, 2022 base level",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,D,energy_efficiency,A_structural,dummy,binary,0.157,,,,***,0.068,0.246,high,"EPC D vs G, 2022 base level",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,E,energy_efficiency,A_structural,dummy,binary,0.07,,,,*,-0.002,0.141,high,"EPC E vs G, 2022 base level",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,F,energy_efficiency,A_structural,dummy,binary,0.022,,,,,-0.046,0.09,high,"EPC F vs G, 2022 base level",ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,Elevator (present),accessibility,B_interior,binary,binary,0.093,,,,***,0.042,0.144,high,2022 base level,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:T5-c1,5,β,13,Alarm System (present),other,other,binary,binary,0.089,,,,***,0.029,0.149,high,alarm system; 2022 base level (2023 interaction -0.087**),ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,0.56,none,pooled 2022-2023 with Year=2023 dummy and 2023 interactions on all variables except surface
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c1,A3,Full sample,19,EPC: >=A,energy_efficiency,A_structural,dummy,binary,0.261,,,,***,0.203,0.319,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,,none,full sample; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c2,A3,year=2022,19,EPC: >=A,energy_efficiency,A_structural,dummy,binary,0.308,,,,***,0.226,0.39,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,,none,2022 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c3,A3,year=2023,19,EPC: >=A,energy_efficiency,A_structural,dummy,binary,0.238,,,,***,0.159,0.317,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,,none,2023 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c1,A3,Full sample,19,EPC: B,energy_efficiency,A_structural,dummy,binary,0.116,,,,**,0.013,0.219,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,,none,full sample; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c2,A3,year=2022,19,EPC: B,energy_efficiency,A_structural,dummy,binary,0.147,,,,**,0.024,0.269,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,,none,2022 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c3,A3,year=2023,19,EPC: B,energy_efficiency,A_structural,dummy,binary,0.082,,,,,-0.083,0.248,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,,none,2023 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c1,A3,Full sample,19,EPC: C,energy_efficiency,A_structural,dummy,binary,0.008,,,,,-0.085,0.101,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,,none,full sample; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c2,A3,year=2022,19,EPC: C,energy_efficiency,A_structural,dummy,binary,0.019,,,,,-0.097,0.134,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,,none,2022 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c3,A3,year=2023,19,EPC: C,energy_efficiency,A_structural,dummy,binary,0.042,,,,,-0.1,0.185,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,,none,2023 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c1,A3,Full sample,19,EPC: E,energy_efficiency,A_structural,dummy,binary,-0.154,,,,***,-0.214,-0.094,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,,none,full sample; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c2,A3,year=2022,19,EPC: E,energy_efficiency,A_structural,dummy,binary,-0.087,,,,**,-0.17,-0.005,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,,none,2022 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c3,A3,year=2023,19,EPC: E,energy_efficiency,A_structural,dummy,binary,-0.183,,,,***,-0.267,-0.1,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,,none,2023 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c1,A3,Full sample,19,EPC: F,energy_efficiency,A_structural,dummy,binary,-0.174,,,,***,-0.23,-0.119,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,,none,full sample; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c2,A3,year=2022,19,EPC: F,energy_efficiency,A_structural,dummy,binary,-0.138,,,,***,-0.219,-0.058,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,,none,2022 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c3,A3,year=2023,19,EPC: F,energy_efficiency,A_structural,dummy,binary,-0.182,,,,***,-0.256,-0.107,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,,none,2023 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c1,A3,Full sample,19,EPC: G,energy_efficiency,A_structural,dummy,binary,-0.245,,,,***,-0.299,-0.192,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1738.0,,none,full sample; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c2,A3,year=2022,19,EPC: G,energy_efficiency,A_structural,dummy,binary,-0.165,,,,***,-0.241,-0.089,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,705.0,,none,2022 listings; EPC D reference
670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef,670783d3e4613f6e96cb818330755422772653ef:TA3-c3,A3,year=2023,19,EPC: G,energy_efficiency,A_structural,dummy,binary,-0.279,,,,***,-0.352,-0.205,high,EPC class vs reference class D,ln(P/m2): log listing price per m2 (EUR),per_m2,OLS,1033.0,,none,2023 listings; EPC D reference
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,DCBD,cbd_distance,D_location,level,km,-0.326,,-55.863,0.0,***,,,high,Distance to CBD (Citizen Centre) in km; p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,Fee,other,other,level,currency,0.293,,43.604,0.0,***,,,high,Property management fee (RMB per m2 per month presumably; unit printed as RMB); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,DPark,green_space,E_environment,level,km,-0.111,,-27.376,0.0,***,,,high,Distance to nearest park (km); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,NumWash,bathrooms,A_structural,level,count,0.094,,21.743,0.0,***,,,high,Number of bathrooms; p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,GiZScore_C,neighbourhood_amenities,F_neighbourhood,level,index,0.083,,17.104,0.0,***,,,high,Getis-Ord Gi* z-score of social-media check-in activity at commercial/business facilities (hot-spot degree of activity); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,DHospital,hospital_distance,D_location,level,km,-0.094,,-24.942,0.0,***,,,high,Distance to nearest hospital (km); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,SPrimary,school_distance,D_location,level,km,0.08,,21.966,0.0,***,,,high,Distance to nearest primary school (km); printed as SPrimary (DSprimary in Table 1); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,Floor,floor_level,A_structural,level,count,0.063,,20.077,0.0,***,,,high,Floor on which the unit is situated; p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,GiZScore_G,green_space,E_environment,level,index,0.134,,24.466,0.0,***,,,high,Getis-Ord Gi* z-score of check-in activity in green space (degree of activity); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,DBus,transit_distance,D_location,level,km,-0.049,,-14.273,0.0,***,,,high,Distance to nearest bus station (km); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,DSub,transit_distance,D_location,level,km,-0.049,,-11.417,0.0,***,,,high,Distance to nearest metro station (km); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,Area,living_area,A_structural,level,m2,0.031,,6.907,0.0,***,,,high,Living area in m2 (coefficient as printed; interpreted by authors as semi-elasticity per unit); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T4-c1,4,1,13,RGreen,green_space,E_environment,level,share,0.023,,6.854,0.0,***,,,high,Green space ratio of the estate (%); p-value printed as .000; *** significant at 1%,ln(price) of new housing unit,log,OLS,25323.0,0.724,t,"Global hedonic price model (HPM), semi-log OLS; 25,323 new-housing transactions, Shenzhen, July-December 2015; t-ratio and p-value printed in separate columns (no parentheses); only variables significant at 1% listed"
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,Floor,floor_level,A_structural,level,count,0.040169,,,0.0,***,,,medium,"GWR local coefficient summary: min -0.35291, lower quartile 0.031246, median 0.040169 (recorded), upper quartile 0.056628, max 0.339561; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,NumBed,bedrooms,A_structural,level,count,0.040887,,,0.0,***,,,medium,"GWR local coefficient summary: min -0.66773, lower quartile -0.02149, median 0.040887 (recorded), upper quartile 0.128011, max 0.493299; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,NumWash,bathrooms,A_structural,level,count,0.022523,,,0.0,***,,,medium,"GWR local coefficient summary: min -0.64065, lower quartile -0.0432, median 0.022523 (recorded), upper quartile 0.06847, max 0.358014; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,Area,living_area,A_structural,level,m2,0.074358,,,0.0,***,,,medium,"GWR local coefficient summary: min -0.68338, lower quartile -0.01717, median 0.074358 (recorded), upper quartile 0.142633, max 1.335995; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,RPlot,density,F_neighbourhood,level,index,-0.1074,,,0.0,***,,,medium,"GWR local coefficient summary: min -10.9418, lower quartile -0.5452, median -0.1074 (recorded), upper quartile 0.145695, max 1.900368; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,RGreen,green_space,E_environment,level,share,0.089782,,,0.0,***,,,medium,"GWR local coefficient summary: min -3.84742, lower quartile -0.0312, median 0.089782 (recorded), upper quartile 0.399657, max 1.858314; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,Fee,other,other,level,currency,0.25459,,,0.0,***,,,medium,"GWR local coefficient summary: min -2.68112, lower quartile 0.015945, median 0.25459 (recorded), upper quartile 0.621551, max 4.052185; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DSub,transit_distance,D_location,level,km,-0.02085,,,0.0,***,,,medium,"GWR local coefficient summary: min -12.302, lower quartile -0.40319, median -0.02085 (recorded), upper quartile 0.563174, max 15.22164; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DBus,transit_distance,D_location,level,km,-0.03028,,,0.004,**,,,medium,"GWR local coefficient summary: min -4.17797, lower quartile -0.35394, median -0.03028 (recorded), upper quartile 0.509983, max 23.5197; p-value .004; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DSnursery,school_distance,D_location,level,km,-0.03278,,,0.0,***,,,medium,"GWR local coefficient summary: min -18.9376, lower quartile -0.1124, median -0.03278 (recorded), upper quartile 0.158163, max 4.604339; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DSprimary,school_distance,D_location,level,km,0.017652,,,0.0,***,,,medium,"GWR local coefficient summary: min -12.4242, lower quartile -0.13258, median 0.017652 (recorded), upper quartile 0.261109, max 2.282185; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DSmiddle,school_distance,D_location,level,km,0.017384,,,0.0,***,,,medium,"GWR local coefficient summary: min -3.55686, lower quartile -0.41095, median 0.017384 (recorded), upper quartile 0.249635, max 14.10076; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DHospital,hospital_distance,D_location,level,km,-0.12827,,,0.0,***,,,medium,"GWR local coefficient summary: min -4.868, lower quartile -0.62254, median -0.12827 (recorded), upper quartile 0.300655, max 5.447187; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DPark,green_space,E_environment,level,km,0.012992,,,0.855,,,,medium,"GWR local coefficient summary: min -2.27624, lower quartile -0.07367, median 0.012992 (recorded), upper quartile 0.328673, max 11.93626; p-value .855; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,DCBD,cbd_distance,D_location,level,km,-0.09705,,,0.0,***,,,medium,"GWR local coefficient summary: min -16.3229, lower quartile -0.74499, median -0.09705 (recorded), upper quartile 0.430907, max 1.94271; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,GiZScore_G,green_space,E_environment,level,index,-0.1252,,,0.0,***,,,medium,"GWR local coefficient summary: min -11.9198, lower quartile -2.41877, median -0.1252 (recorded), upper quartile 0.179357, max 4.508242; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb,67d132eca470e26b7a8c41462ca1252d056a93bb:T5-c1,5,median,14,GiZScore_C,neighbourhood_amenities,F_neighbourhood,level,index,0.463302,,,0.0,***,,,medium,"GWR local coefficient summary: min -9.16523, lower quartile 0.015567, median 0.463302 (recorded), upper quartile 2.229864, max 11.68491; p-value .000; RPlot = plot (floor-area) ratio mapped to density; Fee = property management fee; DSnursery = distance to nursery school",ln(price) of new housing unit,log,GWR,25323.0,0.9399,none,GWR local coefficients: table reports min / lower quartile / median / upper quartile / max and a p-value per variable; beta recorded = median local coefficient (bandwidth 0.337)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,Area,living_area,A_structural,level,m2,0.008,,315.66,,***,,,high,Building floor area in m2,log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,Floor,floor_level,A_structural,level,count,-0.0004,,-1.05,,,,,high,Trading floor (floor on which the unit is located),log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,TStory,storeys,A_structural,level,count,-0.0003,,-1.01,,,,,high,Total number of storeys of the building,log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,Bathroom,bathrooms,A_structural,level,count,0.059,,24.31,,***,,,high,Number of bathrooms,log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,Age,age,A_structural,level,years,-0.011,,-118.36,,***,,,high,Dwelling age in years,log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,Dist. MRT,transit_distance,D_location,level,100 m,-0.011,,-40.04,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1)",log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,Dist. CC,cbd_distance,D_location,level,100 m,-0.004,,-32.22,,***,,,high,"Distance to city center, unit = 100 m (Table 1)",log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,THA,liquidity,G_market,binary,binary,-0.102,,-34.74,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*),log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,FHA,other,other,binary,binary,0.014,,1.08,,,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA,log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c1,2,1,8,THA × FHA,other,other,other,binary,0.042,,1.68,,*,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies,log of real housing price,log,OLS,62140.0,0.853,t,OLS model; district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,Area,living_area,A_structural,level,m2,0.008,,316.6,,***,,,high,Building floor area in m2; z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,Floor,floor_level,A_structural,level,count,-0.0001,,-0.37,,,,,high,Trading floor (floor on which the unit is located); z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,TStory,storeys,A_structural,level,count,-0.0004,,-1.33,,,,,high,Total number of storeys of the building; z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,Bathroom,bathrooms,A_structural,level,count,0.06,,25.31,,***,,,high,Number of bathrooms; z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,Age,age,A_structural,level,years,-0.011,,-121.44,,***,,,high,Dwelling age in years; z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,Dist. MRT,transit_distance,D_location,level,100 m,-0.011,,-39.9,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1); z-statistic recorded in t field",log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,Dist. CC,cbd_distance,D_location,level,100 m,-0.003,,-27.49,,***,,,high,"Distance to city center, unit = 100 m (Table 1); z-statistic recorded in t field",log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,THA,liquidity,G_market,binary,binary,-0.099,,-34.56,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*); z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,FHA,other,other,binary,binary,0.022,,1.7,,*,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA; z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c2,2,2,8,THA × FHA,other,other,other,binary,0.05,,2.02,,**,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies; z-statistic recorded in t field,log of real housing price,log,spatial_lag,62140.0,0.859,t,Spatial lag model (rho=0.196); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,Area,living_area,A_structural,level,m2,0.007,,179.92,,***,,,high,Building floor area in m2; z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,Floor,floor_level,A_structural,level,count,-0.0008,,-2.33,,**,,,high,Trading floor (floor on which the unit is located); z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,TStory,storeys,A_structural,level,count,-0.0009,,-2.69,,***,,,high,Total number of storeys of the building; z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,Bathroom,bathrooms,A_structural,level,count,0.061,,25.42,,***,,,high,Number of bathrooms; z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,Age,age,A_structural,level,years,-0.011,,-114.1,,***,,,high,Dwelling age in years; z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,Dist. MRT,transit_distance,D_location,level,100 m,-0.011,,-37.84,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1); z-statistic recorded in t field",log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,Dist. CC,cbd_distance,D_location,level,100 m,-0.003,,-31.16,,***,,,high,"Distance to city center, unit = 100 m (Table 1); z-statistic recorded in t field",log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,THA,liquidity,G_market,binary,binary,-0.101,,-34.42,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*); z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,FHA,other,other,binary,binary,0.02,,1.55,,,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA; z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T2-c3,2,3,8,THA × FHA,other,other,other,binary,0.032,,1.3,,,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies; z-statistic recorded in t field,log of real housing price,log,spatial_error,62140.0,0.855,t,Spatial error model (lambda=0.056); district and trading year x quarter dummies included. Statistic printed = t value (OLS) or z-statistic (spatial models)
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,Area,living_area,A_structural,level,m2,0.008,,131.06,,***,,,high,Building floor area in m2,log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,Floor,floor_level,A_structural,level,count,-0.002,,-2.15,,**,,,high,Trading floor (floor on which the unit is located),log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,TStory,storeys,A_structural,level,count,-0.004,,-5.4,,***,,,high,Total number of storeys of the building,log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,Bathroom,bathrooms,A_structural,level,count,0.069,,12.16,,***,,,high,Number of bathrooms,log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,Age,age,A_structural,level,years,-0.012,,-55.95,,***,,,high,Dwelling age in years,log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,Dist. MRT,transit_distance,D_location,level,100 m,-0.012,,-17.8,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,Dist. CC,cbd_distance,D_location,level,100 m,-0.002,,-9.48,,***,,,high,"Distance to city center, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,THA,liquidity,G_market,binary,binary,-0.122,,-17.62,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*),log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,FHA,other,other,binary,binary,0.069,,2.24,,**,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA,log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c1,3,1,9,THA × FHA,other,other,other,binary,-0.023,,-0.4,,,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies,log of real housing price,log,quantile,62140.0,0.577,t,Spatial quantile regression at quantile 0.1 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,Area,living_area,A_structural,level,m2,0.008,,230.96,,***,,,high,Building floor area in m2,log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,Floor,floor_level,A_structural,level,count,0.001,,1.51,,,,,high,Trading floor (floor on which the unit is located),log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,TStory,storeys,A_structural,level,count,-0.001,,-3.01,,***,,,high,Total number of storeys of the building,log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,Bathroom,bathrooms,A_structural,level,count,0.061,,17.98,,***,,,high,Number of bathrooms,log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,Age,age,A_structural,level,years,-0.012,,-88.2,,***,,,high,Dwelling age in years,log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,Dist. MRT,transit_distance,D_location,level,100 m,-0.013,,-33.05,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,Dist. CC,cbd_distance,D_location,level,100 m,-0.003,,-16.04,,***,,,high,"Distance to city center, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,THA,liquidity,G_market,binary,binary,-0.124,,-30.11,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*),log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,FHA,other,other,binary,binary,0.05,,2.74,,***,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA,log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c2,3,2,9,THA × FHA,other,other,other,binary,0.037,,1.07,,,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies,log of real housing price,log,quantile,62140.0,0.606,t,Spatial quantile regression at quantile 0.25 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,Area,living_area,A_structural,level,m2,0.008,,305.09,,***,,,high,Building floor area in m2,log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,Floor,floor_level,A_structural,level,count,0.001,,3.91,,***,,,high,Trading floor (floor on which the unit is located),log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,TStory,storeys,A_structural,level,count,0.001,,3.31,,***,,,high,Total number of storeys of the building,log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,Bathroom,bathrooms,A_structural,level,count,0.055,,21.54,,***,,,high,Number of bathrooms,log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,Age,age,A_structural,level,years,-0.011,,-105.21,,***,,,high,Dwelling age in years,log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,Dist. MRT,transit_distance,D_location,level,100 m,-0.011,,-38.23,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,Dist. CC,cbd_distance,D_location,level,100 m,-0.003,,-26.2,,***,,,high,"Distance to city center, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,THA,liquidity,G_market,binary,binary,-0.097,,-30.8,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*),log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,FHA,other,other,binary,binary,0.014,,1.69,,*,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA,log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c3,3,3,9,THA × FHA,other,other,other,binary,0.056,,2.1,,**,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies,log of real housing price,log,quantile,62140.0,0.641,t,Spatial quantile regression at quantile 0.5 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,Area,living_area,A_structural,level,m2,0.008,,300.55,,***,,,high,Building floor area in m2,log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,Floor,floor_level,A_structural,level,count,0.002,,5.064,,***,,,high,Trading floor (floor on which the unit is located),log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,TStory,storeys,A_structural,level,count,0.003,,7.32,,***,,,high,Total number of storeys of the building,log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,Bathroom,bathrooms,A_structural,level,count,0.054,,20.79,,***,,,high,Number of bathrooms,log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,Age,age,A_structural,level,years,-0.01,,-100.58,,***,,,high,Dwelling age in years,log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,Dist. MRT,transit_distance,D_location,level,100 m,-0.01,,-32.26,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,Dist. CC,cbd_distance,D_location,level,100 m,-0.004,,-29.4,,***,,,high,"Distance to city center, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,THA,liquidity,G_market,binary,binary,-0.061,,-19.22,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*),log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,FHA,other,other,binary,binary,-0.018,,-1.26,,,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA,log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c4,3,4,9,THA × FHA,other,other,other,binary,0.089,,3.3,,***,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies,log of real housing price,log,quantile,62140.0,0.671,t,Spatial quantile regression at quantile 0.75 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,Area,living_area,A_structural,level,m2,0.008,,265.16,,***,,,high,Building floor area in m2,log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,Floor,floor_level,A_structural,level,count,0.002,,3.27,,***,,,high,Trading floor (floor on which the unit is located),log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,TStory,storeys,A_structural,level,count,0.003,,6.37,,***,,,high,Total number of storeys of the building,log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,Bathroom,bathrooms,A_structural,level,count,0.049,,16.63,,***,,,high,Number of bathrooms,log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,Age,age,A_structural,level,years,-0.01,,-86.66,,***,,,high,Dwelling age in years,log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,Dist. MRT,transit_distance,D_location,level,100 m,-0.009,,-25.01,,***,,,high,"Distance to nearest MRT station, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,Dist. CC,cbd_distance,D_location,level,100 m,-0.004,,-26.04,,***,,,high,"Distance to city center, unit = 100 m (Table 1)",log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,THA,liquidity,G_market,binary,binary,-0.038,,-10.64,,***,,,high,Dummy = 1 if located in a housing-transaction hotspot area (Getis-Ord Gi*),log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,FHA,other,other,binary,binary,-0.024,,-1.51,,,,,high,Dummy = 1 if located in a short-term flipping hotspot area (resales within 2 years); printed name FHA,log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1,69288e963b8055b19e0fd077000b14eb34270ae1:T3-c5,3,5,9,THA × FHA,other,other,other,binary,0.045,,1.45,,,,,high,Interaction of transaction-hotspot and flipping-hotspot dummies,log of real housing price,log,quantile,62140.0,0.693,t,Spatial quantile regression at quantile 0.9 (with spatial lag term); district and trading year x quarter dummies included; pseudo R-square reported
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Quality of the Corresponding Public Primary School,school_quality,F_neighbourhood,level,index,-0.031,0.001,-33.79,8.616e-110,,,,medium,"citywide rank of the corresponding public primary school (1 = best, up to 44); negative sign = better school raises price; entered linearly; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Distance to the Corresponding Public Primary School,school_distance,D_location,log,m,-0.027,0.01,-2.657,0.008,,,,medium,"straight-line distance from neighbourhood centre to corresponding public primary school, metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Distance to the District's CBD,cbd_distance,D_location,log,m,-0.007,0.011,-0.663,0.508,,,,medium,"straight-line distance to district CBD (Wanda Plaza), metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Property Management Fee,public_services,F_neighbourhood,log,currency,0.029,0.019,1.536,0.125,,,,medium,RMB per m2 per month; continuous variables stated to enter in logarithmic form (estate upkeep fee); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Green Coverage Ratio,green_space,E_environment,log,share,0.002,0.032,0.072,0.942,,,,medium,% of open space covered by greenery in the estate; continuous -> log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Elevator,accessibility,B_interior,dummy,binary,0.003,0.022,0.123,0.902,,,,medium,1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Residential Area,living_area,A_structural,log,m2,-0.003,0.024,-0.106,0.916,,,,medium,"floor area within a house, m2, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Floor Area Ratio,density,F_neighbourhood,log,index,-0.016,0.02,-0.775,0.439,,,,medium,"building gross floor area / land area of the estate, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T6-c1,6,1,16,Building Age,age,A_structural,log,years,-0.034,0.023,-1.466,0.144,,,,medium,"years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,344.0,0.849,se,"citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Quality of the Corresponding Public Primary School,school_quality,F_neighbourhood,level,index,-0.028,0.001,-22.069,6.56e-59,,,,medium,"citywide rank of the corresponding public primary school (1 = best, up to 44); negative sign = better school raises price; entered linearly; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Distance to the Corresponding Public Primary School,school_distance,D_location,log,m,-0.012,0.01,-1.146,0.253,,,,medium,"straight-line distance from neighbourhood centre to corresponding public primary school, metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Distance to the District's CBD,cbd_distance,D_location,log,m,-0.024,0.012,-1.948,0.053,,,,medium,"straight-line distance to district CBD (Wanda Plaza), metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Property Management Fee,public_services,F_neighbourhood,log,currency,0.016,0.02,0.823,0.411,,,,medium,RMB per m2 per month; continuous variables stated to enter in logarithmic form (estate upkeep fee); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Green Coverage Ratio,green_space,E_environment,log,share,0.032,0.031,1.005,0.316,,,,medium,% of open space covered by greenery in the estate; continuous -> log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Elevator,accessibility,B_interior,dummy,binary,-0.01,0.024,-0.429,0.668,,,,medium,1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Residential Area,living_area,A_structural,log,m2,-0.001,0.025,-0.041,0.968,,,,medium,"floor area within a house, m2, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Floor Area Ratio,density,F_neighbourhood,log,index,-0.054,0.023,-2.381,0.018,,,,medium,"building gross floor area / land area of the estate, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T8-c1,8,1,17,Building Age,age,A_structural,log,years,-0.071,0.023,-3.122,0.002,,,,medium,"years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,242.0,0.726,se,urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Quality of the Corresponding Public Primary School,school_quality,F_neighbourhood,level,index,-0.019,0.003,-6.246,1.289e-08,,,,medium,"citywide rank of the corresponding public primary school (1 = best, up to 44); negative sign = better school raises price; entered linearly; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Distance to the Corresponding Public Primary School,school_distance,D_location,log,m,-0.042,0.021,-2.001,0.048,,,,medium,"straight-line distance from neighbourhood centre to corresponding public primary school, metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Distance to the District's CBD,cbd_distance,D_location,log,m,0.042,0.023,1.806,0.074,,,,medium,"straight-line distance to district CBD (Wanda Plaza), metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Property Management Fee,public_services,F_neighbourhood,log,currency,0.016,0.039,0.407,0.685,,,,medium,RMB per m2 per month; continuous variables stated to enter in logarithmic form (estate upkeep fee); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Green Coverage Ratio,green_space,E_environment,log,share,0.069,0.095,0.725,0.47,,,,medium,% of open space covered by greenery in the estate; continuous -> log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Elevator,accessibility,B_interior,dummy,binary,0.075,0.049,1.511,0.134,,,,medium,1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD),"ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Residential Area,living_area,A_structural,log,m2,0.049,0.057,0.868,0.387,,,,medium,"floor area within a house, m2, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Floor Area Ratio,density,F_neighbourhood,log,index,-0.043,0.043,-0.995,0.322,,,,medium,"building gross floor area / land area of the estate, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de,6a582c18a0b55c4939a0e4812ae293fd34b678de:T10-c1,10,1,18,Building Age,age,A_structural,log,years,0.049,0.062,0.786,0.434,,,,medium,"years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)","ln(housing price, RMB per m2, representative house of the neighbourhood)",log,IV,102.0,0.435,se,suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS
6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f:T1-c1,1,1,12,PM10,air_pollution,E_environment,level,ug/m3,-0.015372,,,,***,,,medium,"Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '0' and unusable; stars only.","log monthly rent (reported or hypothetical imputed rent, COP/month)",log,other,6061.0,,se,"All dwelling types; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"
6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f:T1-c2,1,2,12,PM10,air_pollution,E_environment,level,ug/m3,-0.0061217,,,,**,,,medium,"Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '0' and unusable; stars only.","log monthly rent (reported or hypothetical imputed rent, COP/month)",log,other,4153.0,,se,"Apartments submarket; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"
6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f:T1-c3,1,3,12,PM10,air_pollution,E_environment,level,ug/m3,-0.024382,,,,*,,,medium,"Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '-0.01' and unusable; stars only.","log monthly rent (reported or hypothetical imputed rent, COP/month)",log,other,319.0,,se,"Condominiums submarket; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"
6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f,6c0fa6707be0f8c5edd0d4088f7dfb356412099f:T1-c4,1,4,12,PM10,air_pollution,E_environment,level,ug/m3,-0.021776,,,,***,,,medium,"Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '-0.01' and unusable; stars only.","log monthly rent (reported or hypothetical imputed rent, COP/month)",log,other,1562.0,,se,"Houses submarket; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,Floor area,living_area,A_structural,other,index,-0.015,0.0107,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,Floor area,living_area,A_structural,other,index,0.0126,0.017,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,Floor area,living_area,A_structural,other,index,0.00578,0.0122,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,Floor area,living_area,A_structural,other,index,-0.0059,0.0128,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,Floor area,living_area,A_structural,other,index,-0.0127,0.0124,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,Floor area,living_area,A_structural,other,index,-0.0228,0.0122,,,*,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,Floor area,living_area,A_structural,other,index,-0.0292,0.0123,,,**,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,Floor area,living_area,A_structural,other,index,-0.0239,0.0117,,,**,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,Floor area,living_area,A_structural,other,index,-0.039,0.0133,,,***,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,Floor area,living_area,A_structural,other,index,-0.0469,0.016,,,***,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,Plot ratio,density,F_neighbourhood,other,index,-0.0056,0.0023,,,**,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,Plot ratio,density,F_neighbourhood,other,index,-0.0042,0.0019,,,*,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,Plot ratio,density,F_neighbourhood,other,index,-0.0051,0.0019,,,***,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,Plot ratio,density,F_neighbourhood,other,index,-0.0066,0.0019,,,***,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,Plot ratio,density,F_neighbourhood,other,index,-0.0072,0.0026,,,**,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,Plot ratio,density,F_neighbourhood,other,index,-0.0078,0.0028,,,**,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,Plot ratio,density,F_neighbourhood,other,index,-0.0072,0.0043,,,*,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,Plot ratio,density,F_neighbourhood,other,index,-0.0013,0.0045,,,,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,Plot ratio,density,F_neighbourhood,other,index,-0.0035,0.0042,,,,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,Plot ratio,density,F_neighbourhood,other,index,-0.0056,0.0033,,,***,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,PM,other,other,other,index,0.0129,0.0036,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,PM,other,other,other,index,0.0207,0.0069,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,PM,other,other,other,index,0.0205,0.006,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,PM,other,other,other,index,0.0198,0.0036,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,PM,other,other,other,index,0.0158,0.0027,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,PM,other,other,other,index,0.0138,0.0038,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,PM,other,other,other,index,0.0148,0.004,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,PM,other,other,other,index,0.00982,0.005,,,*,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,PM,other,other,other,index,0.00575,0.0068,,,,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,PM,other,other,other,index,0.00663,0.006,,,,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,Building age,age,A_structural,level,years,-0.0016,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,Building age,age,A_structural,level,years,-0.0027,0.0002,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,Building age,age,A_structural,level,years,-0.0026,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,Building age,age,A_structural,level,years,-0.0028,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,Building age,age,A_structural,level,years,-0.0025,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,Building age,age,A_structural,level,years,-0.0022,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,Building age,age,A_structural,level,years,-0.0018,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,Building age,age,A_structural,level,years,-0.0016,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,Building age,age,A_structural,level,years,-0.0008,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,Building age,age,A_structural,level,years,-0.00057,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0834,0.0109,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0495,0.0189,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,QMS,school_quality,F_neighbourhood,binary,binary,0.051,0.0167,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0644,0.015,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,QMS,school_quality,F_neighbourhood,binary,binary,0.075,0.0171,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0739,0.0171,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0781,0.0131,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0827,0.0188,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0845,0.0175,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,QMS,school_quality,F_neighbourhood,binary,binary,0.0979,0.0167,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0294,0.0118,,,**,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0427,0.0192,,,**,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0222,0.0232,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0235,0.0164,,,*,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0177,0.0187,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0157,0.017,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0274,0.0167,,,***,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0389,0.0158,,,***,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0468,0.0152,,,***,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,QPS,school_quality,F_neighbourhood,binary,binary,0.0299,0.0174,,,*,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,Subway,transit_distance,D_location,binary,binary,0.0481,0.0129,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,Subway,transit_distance,D_location,binary,binary,0.0606,0.0264,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,Subway,transit_distance,D_location,binary,binary,0.0417,0.0211,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,Subway,transit_distance,D_location,binary,binary,0.0451,0.0184,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,Subway,transit_distance,D_location,binary,binary,0.05,0.0197,,,**,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,Subway,transit_distance,D_location,binary,binary,0.0612,0.0226,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,Subway,transit_distance,D_location,binary,binary,0.0553,0.018,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,Subway,transit_distance,D_location,binary,binary,0.069,0.0178,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,Subway,transit_distance,D_location,binary,binary,0.048,0.0216,,,**,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,Subway,transit_distance,D_location,binary,binary,0.00169,0.0256,,,,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0081,0.0003,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0097,0.0005,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0031,0.0006,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0035,0.0005,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0041,0.0004,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0045,0.0004,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0034,0.0003,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0039,0.0003,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0083,0.0004,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0159,0.0005,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,Dcbd,cbd_distance,D_location,level,km,-0.0625,0.029,,,**,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,Dcbd,cbd_distance,D_location,level,km,-0.103,0.0331,,,***,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,Dcbd,cbd_distance,D_location,level,km,-0.0675,0.0395,,,***,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,Dcbd,cbd_distance,D_location,level,km,-0.06,0.0302,,,**,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,Dcbd,cbd_distance,D_location,level,km,-0.069,0.0297,,,*,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,Dcbd,cbd_distance,D_location,level,km,-0.0705,0.0333,,,**,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,Dcbd,cbd_distance,D_location,level,km,-0.0615,0.0323,,,***,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,Dcbd,cbd_distance,D_location,level,km,-0.0489,0.0195,,,**,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,Dcbd,cbd_distance,D_location,level,km,-0.03295,0.0505,,,,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,Dcbd,cbd_distance,D_location,level,km,-0.054,0.0813,,,,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.Xriver,water_proximity,E_environment,level,km,-0.0168,0.0056,,,***,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.Xriver,water_proximity,E_environment,level,km,-0.0125,0.0111,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.Xriver,water_proximity,E_environment,level,km,-0.0085,0.0083,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.Xriver,water_proximity,E_environment,level,km,0.00265,0.0072,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.Xriver,water_proximity,E_environment,level,km,0.00066,0.0061,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.Xriver,water_proximity,E_environment,level,km,-0.0064,0.0078,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.Xriver,water_proximity,E_environment,level,km,-0.0087,0.0072,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.Xriver,water_proximity,E_environment,level,km,-0.013,0.0071,,,*,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.Xriver,water_proximity,E_environment,level,km,-0.0252,0.0097,,,**,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.Xriver,water_proximity,E_environment,level,km,-0.028,0.0083,,,**,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.Lriver,water_proximity,E_environment,level,km,-0.0245,0.012,,,**,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.Lriver,water_proximity,E_environment,level,km,-0.0357,0.0224,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.Lriver,water_proximity,E_environment,level,km,-0.0318,0.0158,,,**,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.Lriver,water_proximity,E_environment,level,km,-0.0315,0.0119,,,***,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.Lriver,water_proximity,E_environment,level,km,-0.0263,0.0083,,,***,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.Lriver,water_proximity,E_environment,level,km,-0.0223,0.0061,,,***,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.Lriver,water_proximity,E_environment,level,km,-0.01385,0.0371,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.Lriver,water_proximity,E_environment,level,km,-0.0075,0.0435,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.Lriver,water_proximity,E_environment,level,km,-0.0025,0.0446,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.Lriver,water_proximity,E_environment,level,km,-0.0171,0.0537,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0251,0.0049,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.YHwetland,water_proximity,E_environment,level,km,-0.00795,0.0097,,,,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0183,0.0101,,,**,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0166,0.0092,,,*,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0235,0.0095,,,**,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0273,0.0087,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0299,0.0086,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0312,0.0069,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.YHwetland,water_proximity,E_environment,level,km,-0.0405,0.0067,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.YHwetland,water_proximity,E_environment,level,km,-0.042,0.0084,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.LL,water_proximity,E_environment,level,km,-0.0173,0.0066,,,***,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.LL,water_proximity,E_environment,level,km,0.00134,0.0181,,,,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.LL,water_proximity,E_environment,level,km,-0.0156,0.0131,,,,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.LL,water_proximity,E_environment,level,km,-0.0164,0.0121,,,,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.LL,water_proximity,E_environment,level,km,-0.0205,0.0089,,,*,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.LL,water_proximity,E_environment,level,km,-0.0207,0.0069,,,**,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.LL,water_proximity,E_environment,level,km,-0.0223,0.0052,,,**,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.LL,water_proximity,E_environment,level,km,-0.0243,0.0068,,,***,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.LL,water_proximity,E_environment,level,km,-0.0209,0.0077,,,**,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.LL,water_proximity,E_environment,level,km,-0.0319,0.0105,,,***,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.ML,water_proximity,E_environment,level,km,-0.0143,0.0045,,,***,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.ML,water_proximity,E_environment,level,km,-0.0344,0.0108,,,***,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.ML,water_proximity,E_environment,level,km,-0.0156,0.0098,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.ML,water_proximity,E_environment,level,km,-0.0039,0.0048,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.ML,water_proximity,E_environment,level,km,-0.0014,0.0043,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.ML,water_proximity,E_environment,level,km,-0.004,0.0045,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.ML,water_proximity,E_environment,level,km,-0.0082,0.0055,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.ML,water_proximity,E_environment,level,km,-0.0066,0.0052,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.ML,water_proximity,E_environment,level,km,-0.0053,0.0048,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.ML,water_proximity,E_environment,level,km,-0.0019,0.0058,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.SL,water_proximity,E_environment,level,km,-0.0124,0.0167,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.SL,water_proximity,E_environment,level,km,-0.0214,0.026,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.SL,water_proximity,E_environment,level,km,0.00524,0.0288,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.SL,water_proximity,E_environment,level,km,-0.0001,0.0212,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.SL,water_proximity,E_environment,level,km,0.0044,0.0241,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.SL,water_proximity,E_environment,level,km,0.00533,0.0216,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.SL,water_proximity,E_environment,level,km,-0.0113,0.0139,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.SL,water_proximity,E_environment,level,km,-0.0118,0.0183,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.SL,water_proximity,E_environment,level,km,-0.0098,0.0293,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.SL,water_proximity,E_environment,level,km,-0.0421,0.0378,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.YL,green_space,E_environment,level,km,-0.0234,0.0045,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.YL,green_space,E_environment,level,km,-0.0277,0.0068,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.YL,green_space,E_environment,level,km,-0.0323,0.0068,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.YL,green_space,E_environment,level,km,-0.0349,0.0056,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.YL,green_space,E_environment,level,km,-0.0311,0.0037,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.YL,green_space,E_environment,level,km,-0.0281,0.0052,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.YL,green_space,E_environment,level,km,-0.0251,0.0044,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.YL,green_space,E_environment,level,km,-0.019,0.0078,,,**,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.YL,green_space,E_environment,level,km,-0.0182,0.0061,,,**,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.YL,green_space,E_environment,level,km,-0.0212,0.0073,,,**,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c1,3,1,8,D.NWG,green_space,E_environment,level,km,-0.0124,0.0047,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,OLS,,0.519,se,Conditional mean (OLS)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c2,3,2,8,D.NWG,green_space,E_environment,level,km,-0.0082,0.0021,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.321,se,Quantile 0.1
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c3,3,3,8,D.NWG,green_space,E_environment,level,km,-0.0108,0.0022,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.307,se,Quantile 0.2
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c4,3,4,8,D.NWG,green_space,E_environment,level,km,-0.0861,0.0015,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.313,se,Quantile 0.3
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c5,3,5,8,D.NWG,green_space,E_environment,level,km,0.0089,0.0022,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.346,se,Quantile 0.4
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c6,3,6,8,D.NWG,green_space,E_environment,level,km,-0.0138,0.0024,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.331,se,Quantile 0.5
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c7,3,7,8,D.NWG,green_space,E_environment,level,km,-0.0135,0.0022,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.358,se,Quantile 0.6
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c8,3,8,8,D.NWG,green_space,E_environment,level,km,-0.0131,0.0026,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.7
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c9,3,9,8,D.NWG,green_space,E_environment,level,km,-0.0095,0.0026,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.343,se,Quantile 0.8
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T3-c10,3,10,8,D.NWG,green_space,E_environment,level,km,-0.0054,0.0038,,,,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.9
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,Floor area,living_area,A_structural,other,index,-0.0153,0.0147,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,Floor area,living_area,A_structural,other,index,0.0099,0.0138,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,Floor area,living_area,A_structural,other,index,0.00319,0.0147,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,Floor area,living_area,A_structural,other,index,-0.00587,0.012,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,Floor area,living_area,A_structural,other,index,-0.0131,0.0094,,,,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,Floor area,living_area,A_structural,other,index,-0.0224,0.0098,,,*,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,Floor area,living_area,A_structural,other,index,-0.0273,0.008,,,**,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,Floor area,living_area,A_structural,other,index,-0.0278,0.0125,,,**,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,Floor area,living_area,A_structural,other,index,-0.0436,0.016,,,**,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,Floor area,living_area,A_structural,other,index,-0.0566,0.0219,,,**,,,medium,"Ordinal score of floor area in 5 classes (1: <60 m2, 2: 60-90, 3: 90-120, 4: 120-144, 5: >144 m2); not a continuous area. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,Plot ratio,density,F_neighbourhood,other,index,-0.00549,0.0023,,,**,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,Plot ratio,density,F_neighbourhood,other,index,-0.00525,0.0021,,,**,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,Plot ratio,density,F_neighbourhood,other,index,-0.005,0.0024,,,**,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,Plot ratio,density,F_neighbourhood,other,index,-0.00677,0.0027,,,***,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,Plot ratio,density,F_neighbourhood,other,index,-0.00704,0.0023,,,*,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,Plot ratio,density,F_neighbourhood,other,index,-0.00759,0.0041,,,,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,Plot ratio,density,F_neighbourhood,other,index,-0.00684,0.0045,,,,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,Plot ratio,density,F_neighbourhood,other,index,-0.00135,0.0048,,,,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,Plot ratio,density,F_neighbourhood,other,index,-0.00263,0.0037,,,,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,Plot ratio,density,F_neighbourhood,other,index,-0.0065,0.004,,,,,,medium,"Community plot ratio (floor-area ratio) coded in 5 ordinal classes (<1=1, 1-2=2, 2-3=3, 3-5=4, >5=5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,PM,other,other,other,index,0.0129,0.0036,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,PM,other,other,other,index,0.0212,0.005,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,PM,other,other,other,index,0.0211,0.0045,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,PM,other,other,other,index,0.0199,0.0037,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,PM,other,other,other,index,0.0159,0.0044,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,PM,other,other,other,index,0.0143,0.0056,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,PM,other,other,other,index,0.0143,0.0053,,,***,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,PM,other,other,other,index,0.0103,0.0045,,,**,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,PM,other,other,other,index,0.00461,0.0072,,,,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,PM,other,other,other,index,-0.000734,0.0046,,,,,,medium,"Property management level score 0-5 (ordinal). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,Building age,age,A_structural,level,years,-0.0015,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,Building age,age,A_structural,level,years,-0.0026,0.0002,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,Building age,age,A_structural,level,years,-0.0024,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,Building age,age,A_structural,level,years,-0.0026,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,Building age,age,A_structural,level,years,-0.0024,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,Building age,age,A_structural,level,years,-0.0021,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,Building age,age,A_structural,level,years,-0.002,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,Building age,age,A_structural,level,years,-0.0017,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,Building age,age,A_structural,level,years,-0.0009,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,Building age,age,A_structural,level,years,-0.0006,0.0001,,,***,,,medium,"Age of house in years (2019 minus building year). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0817,0.0111,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0623,0.021,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0478,0.0145,,,**,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0653,0.0115,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0705,0.0136,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0669,0.0099,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0743,0.0127,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0797,0.0134,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0773,0.0124,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,QMS,school_quality,F_neighbourhood,binary,binary,0.0981,0.0164,,,***,,,medium,"Residential district belongs to a quality middle-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,QPS,school_quality,F_neighbourhood,binary,binary,0.028,0.0119,,,**,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0503,0.0136,,,***,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0208,0.014,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0244,0.0149,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0182,0.0134,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0104,0.0178,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0236,0.0138,,,*,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0348,0.0161,,,**,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0462,0.0156,,,**,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,QPS,school_quality,F_neighbourhood,binary,binary,0.0342,0.0306,,,,,,medium,"Residential district belongs to a quality primary-school district (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,Subway,transit_distance,D_location,binary,binary,0.0472,0.0129,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,Subway,transit_distance,D_location,binary,binary,0.0534,0.022,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,Subway,transit_distance,D_location,binary,binary,0.047,0.0178,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,Subway,transit_distance,D_location,binary,binary,0.0417,0.0142,,,**,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,Subway,transit_distance,D_location,binary,binary,0.0475,0.0196,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,Subway,transit_distance,D_location,binary,binary,0.0573,0.0216,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,Subway,transit_distance,D_location,binary,binary,0.0553,0.0183,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,Subway,transit_distance,D_location,binary,binary,0.0707,0.02,,,***,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,Subway,transit_distance,D_location,binary,binary,0.0444,0.0205,,,*,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,Subway,transit_distance,D_location,binary,binary,0.0165,0.023,,,,,,medium,"Subway station within 1 km of property (1/0). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0079,0.0003,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0113,0.0006,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0033,0.0007,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0031,0.0006,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0045,0.0005,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0056,0.0004,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0023,0.0003,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0045,0.0003,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0073,0.0004,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.0125,0.0007,,,***,,,medium,"Living facilities count (hospital, gym, bank, food market, supermarket within 1 km; 0-5). Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.CBD,cbd_distance,D_location,level,km,-0.0575,0.0267,,,**,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.CBD,cbd_distance,D_location,level,km,-0.1365,0.045,,,***,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.CBD,cbd_distance,D_location,level,km,-0.079,0.0271,,,***,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.CBD,cbd_distance,D_location,level,km,-0.0595,0.0202,,,***,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.CBD,cbd_distance,D_location,level,km,-0.0672,0.0266,,,***,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.CBD,cbd_distance,D_location,level,km,-0.0557,0.0291,,,*,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.CBD,cbd_distance,D_location,level,km,-0.0555,0.0274,,,**,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.CBD,cbd_distance,D_location,level,km,-0.0381,0.0224,,,**,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.CBD,cbd_distance,D_location,level,km,-0.00635,0.0507,,,,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.CBD,cbd_distance,D_location,level,km,-0.0417,0.0984,,,,,,medium,"Walking distance to CBD (Wuyi Square), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.Xriver,water_proximity,E_environment,level,km,-0.0172,0.0057,,,***,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.Xriver,water_proximity,E_environment,level,km,-0.0128,0.0106,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.Xriver,water_proximity,E_environment,level,km,-0.00706,0.0084,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.Xriver,water_proximity,E_environment,level,km,0.0004,0.0071,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.Xriver,water_proximity,E_environment,level,km,-0.0007,0.0086,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.Xriver,water_proximity,E_environment,level,km,-0.0073,0.0091,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.Xriver,water_proximity,E_environment,level,km,-0.0066,0.0097,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.Xriver,water_proximity,E_environment,level,km,-0.0115,0.0135,,,,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.Xriver,water_proximity,E_environment,level,km,-0.0236,0.0132,,,**,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.Xriver,water_proximity,E_environment,level,km,-0.0314,0.0097,,,***,,,medium,"Walking distance to Xiangjiang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.Lriver,water_proximity,E_environment,level,km,-0.0236,0.0118,,,**,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.Lriver,water_proximity,E_environment,level,km,-0.0312,0.0512,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.Lriver,water_proximity,E_environment,level,km,-0.0325,0.0529,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.Lriver,water_proximity,E_environment,level,km,-0.0221,0.0111,,,**,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.Lriver,water_proximity,E_environment,level,km,-0.0252,0.0104,,,***,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.Lriver,water_proximity,E_environment,level,km,-0.0214,0.0081,,,***,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.Lriver,water_proximity,E_environment,level,km,-0.0112,0.0261,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.Lriver,water_proximity,E_environment,level,km,-0.0062,0.0263,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.Lriver,water_proximity,E_environment,level,km,-0.0015,0.0363,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.Lriver,water_proximity,E_environment,level,km,-0.0083,0.0543,,,,,,medium,"Walking distance to Liuyang River, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0227,0.0056,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0125,0.0099,,,,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0153,0.0081,,,*,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0171,0.0069,,,**,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0222,0.0067,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0237,0.0071,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0235,0.0095,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0215,0.0086,,,*,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.YHwetland,water_proximity,E_environment,level,km,-0.026,0.0071,,,**,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.YHwetland,water_proximity,E_environment,level,km,-0.0285,0.0073,,,***,,,medium,"Walking distance to Yanghu National Wetland Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.LL,water_proximity,E_environment,level,km,-0.0166,0.0008,,,**,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.LL,water_proximity,E_environment,level,km,-0.0074,0.0011,,,,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.LL,water_proximity,E_environment,level,km,-0.0189,0.0184,,,,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.LL,water_proximity,E_environment,level,km,-0.0152,0.0181,,,,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.LL,water_proximity,E_environment,level,km,-0.021,0.0103,,,**,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.LL,water_proximity,E_environment,level,km,-0.0179,0.0087,,,**,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.LL,water_proximity,E_environment,level,km,-0.0231,0.0095,,,***,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.LL,water_proximity,E_environment,level,km,-0.0235,0.0093,,,***,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.LL,water_proximity,E_environment,level,km,-0.0195,0.0077,,,***,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.LL,water_proximity,E_environment,level,km,-0.0143,0.0081,,,*,,,medium,"Walking distance to nearest large lake (>200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.ML,water_proximity,E_environment,level,km,-0.0145,0.0085,,,*,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.ML,water_proximity,E_environment,level,km,-0.0332,0.0137,,,**,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.ML,water_proximity,E_environment,level,km,-0.0159,0.0122,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.ML,water_proximity,E_environment,level,km,-0.0051,0.0066,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.ML,water_proximity,E_environment,level,km,-0.0013,0.0066,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.ML,water_proximity,E_environment,level,km,-0.0038,0.0047,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.ML,water_proximity,E_environment,level,km,-0.0071,0.005,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.ML,water_proximity,E_environment,level,km,-0.0051,0.0048,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.ML,water_proximity,E_environment,level,km,-0.0049,0.0055,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.ML,water_proximity,E_environment,level,km,-0.005,0.0041,,,,,,medium,"Walking distance to nearest medium lake (18,000-200,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.SL,water_proximity,E_environment,level,km,-0.0128,0.0167,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.SL,water_proximity,E_environment,level,km,-0.0207,0.0267,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.SL,water_proximity,E_environment,level,km,0.00136,0.0216,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.SL,water_proximity,E_environment,level,km,-0.0065,0.0231,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.SL,water_proximity,E_environment,level,km,0.00368,0.022,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.SL,water_proximity,E_environment,level,km,-0.0008,0.0228,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.SL,water_proximity,E_environment,level,km,-0.0107,0.0227,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.SL,water_proximity,E_environment,level,km,-0.0137,0.0284,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.SL,water_proximity,E_environment,level,km,-0.0218,0.0284,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.SL,water_proximity,E_environment,level,km,-0.029,0.0345,,,,,,medium,"Walking distance to nearest small lake (<18,000 m2), km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.YL,green_space,E_environment,level,km,-0.0203,0.0058,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.YL,green_space,E_environment,level,km,-0.0424,0.0084,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.YL,green_space,E_environment,level,km,-0.0373,0.0085,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.YL,green_space,E_environment,level,km,-0.032,0.0073,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.YL,green_space,E_environment,level,km,-0.0285,0.0077,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.YL,green_space,E_environment,level,km,-0.0211,0.0072,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.YL,green_space,E_environment,level,km,-0.0214,0.0066,,,***,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.YL,green_space,E_environment,level,km,-0.0176,0.0103,,,*,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.YL,green_space,E_environment,level,km,-0.0066,0.0118,,,,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.YL,green_space,E_environment,level,km,-0.00744,0.0111,,,,,,medium,"Walking distance to Yuelu Mountain National Forest Park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c1,4,1,10,D.NWG,green_space,E_environment,level,km,-0.0121,0.0017,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,IV,,0.531,se,Conditional mean (spatial 2SLS with spatial lag WlnP instrumented)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c2,4,2,10,D.NWG,green_space,E_environment,level,km,0.0043,0.0032,,,,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.335,se,Quantile 0.1 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c3,4,3,10,D.NWG,green_space,E_environment,level,km,-0.005,0.0034,,,,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.311,se,Quantile 0.2 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c4,4,4,10,D.NWG,green_space,E_environment,level,km,-0.0082,0.0025,,,**,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.329,se,Quantile 0.3 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c5,4,5,10,D.NWG,green_space,E_environment,level,km,-0.0091,0.0014,,,**,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.352,se,Quantile 0.4 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c6,4,6,10,D.NWG,green_space,E_environment,level,km,-0.0155,0.0018,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.341,se,Quantile 0.5 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c7,4,7,10,D.NWG,green_space,E_environment,level,km,-0.0164,0.0021,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.367,se,Quantile 0.6 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c8,4,8,10,D.NWG,green_space,E_environment,level,km,-0.0183,0.0022,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.339,se,Quantile 0.7 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c9,4,9,10,D.NWG,green_space,E_environment,level,km,-0.0114,0.003,,,***,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.361,se,Quantile 0.8 (spatial quantile regression with instrumented spatial lag)
6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178,6c554bbc30f053c6546ae8df71b70b126d3f4178:T4-c10,4,10,10,D.NWG,green_space,E_environment,level,km,-0.00907,0.0301,,,,,,medium,"Walking distance to nearest non-water green space park, km. Bracketed values are not defined in the table note (only star legend ***p<0.01, **p<0.05, *p<0.10); magnitudes are consistent with standard errors and are recorded as SE with medium confidence.","ln property price (per m2, RMB; inferred from text)",log,quantile,,0.353,se,Quantile 0.9 (spatial quantile regression with instrumented spatial lag)
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,7,lnroom,bedrooms,A_structural,log,count,0.766,,113.44,,***,,,high,"Log number of rooms in the house (all rooms, not only bedrooms); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,7,lnroom,bedrooms,A_structural,log,count,0.764,,113.22,,***,,,high,"Log number of rooms in the house (all rooms, not only bedrooms); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,7,lnroom,bedrooms,A_structural,log,count,0.765,,113.23,,***,,,high,"Log number of rooms in the house (all rooms, not only bedrooms); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,7,lnsize,living_area,A_structural,log,m2,0.0309,,11.21,,***,,,high,"Log residential building area in square metres; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,7,lnsize,living_area,A_structural,log,m2,0.0308,,11.18,,***,,,high,"Log residential building area in square metres; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,7,lnsize,living_area,A_structural,log,m2,0.031,,11.26,,***,,,high,"Log residential building area in square metres; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,7,lntfloors,storeys,A_structural,log,count,0.124,,23.33,,***,,,high,"Log total number of floors of the building (excluding ground floor); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,7,lntfloors,storeys,A_structural,log,count,0.118,,22.23,,***,,,high,"Log total number of floors of the building (excluding ground floor); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,7,lntfloors,storeys,A_structural,log,count,0.118,,22.14,,***,,,high,"Log total number of floors of the building (excluding ground floor); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,7,lnbage,age,A_structural,log,years,-0.191,,-30.31,,***,,,high,"Log building age in years (built 2021 = 1 year); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,7,lnbage,age,A_structural,log,years,-0.199,,-31.88,,***,,,high,"Log building age in years (built 2021 = 1 year); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,7,lnbage,age,A_structural,log,years,-0.198,,-31.08,,***,,,high,"Log building age in years (built 2021 = 1 year); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,7,lnorientation,sunlight,E_environment,other,ordinal_grade_1_4,0.0421,,8.57,,***,,,high,"Log of orientation grade: west 1, east 2, north 3, south 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,7,lnorientation,sunlight,E_environment,other,ordinal_grade_1_4,0.0417,,8.47,,***,,,high,"Log of orientation grade: west 1, east 2, north 3, south 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,7,lnorientation,sunlight,E_environment,other,ordinal_grade_1_4,0.0423,,8.6,,***,,,high,"Log of orientation grade: west 1, east 2, north 3, south 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,7,lndecoration,condition,A_structural,other,ordinal_grade_1_3,0.08,,12.16,,***,,,high,"Log of decoration grade: vacant 1, minimally 2, exquisitely decorated 3; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,7,lndecoration,condition,A_structural,other,ordinal_grade_1_3,0.0788,,11.99,,***,,,high,"Log of decoration grade: vacant 1, minimally 2, exquisitely decorated 3; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,7,lndecoration,condition,A_structural,other,ordinal_grade_1_3,0.0775,,11.75,,***,,,high,"Log of decoration grade: vacant 1, minimally 2, exquisitely decorated 3; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,8,lnfloorno,floor_level,A_structural,other,ordinal_grade_1_4,0.0044,,0.56,,,,,high,"Log of floor-level grade: basement 1, lower floors 2, high-rise 3, middle 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,8,lnfloorno,floor_level,A_structural,other,ordinal_grade_1_4,0.00482,,0.61,,,,,high,"Log of floor-level grade: basement 1, lower floors 2, high-rise 3, middle 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,8,lnfloorno,floor_level,A_structural,other,ordinal_grade_1_4,0.00556,,0.7,,,,,high,"Log of floor-level grade: basement 1, lower floors 2, high-rise 3, middle 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,8,lnstructure,other,other,other,ordinal_grade_1_4,0.164,,14.45,,***,,,high,"Log of building structure grade: single-storey 1, tower 2, slab-tower 3, slab 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,8,lnstructure,other,other,other,ordinal_grade_1_4,0.161,,14.14,,***,,,high,"Log of building structure grade: single-storey 1, tower 2, slab-tower 3, slab 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,8,lnstructure,other,other,other,ordinal_grade_1_4,0.164,,14.42,,***,,,high,"Log of building structure grade: single-storey 1, tower 2, slab-tower 3, slab 4; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,8,subway,transit_distance,D_location,dummy,binary,0.0124,,2.04,,*,,,high,"1 if a subway station within 1 km of the community; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,8,subway,transit_distance,D_location,dummy,binary,0.0123,,2.04,,*,,,high,"1 if a subway station within 1 km of the community; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,8,subway,transit_distance,D_location,dummy,binary,0.012,,1.99,,*,,,high,"1 if a subway station within 1 km of the community; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,8,lncbd2,cbd_distance,D_location,log,km,-0.0487,,-11.28,,***,,,high,"Log Euclidean distance (km) from community to Saigao New Block (Weiyang District CBD); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,8,lncbd2,cbd_distance,D_location,log,km,-0.0413,,-8.07,,***,,,high,"Log Euclidean distance (km) from community to Saigao New Block (Weiyang District CBD); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,8,lncbd2,cbd_distance,D_location,log,km,-0.0684,,-17.63,,***,,,high,"Log Euclidean distance (km) from community to Saigao New Block (Weiyang District CBD); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c1,5,1,8,lndshop,commercial_distance,D_location,log,km,-0.0239,,-5.63,,***,,,high,"Log Euclidean distance (km) to nearest shopping mall; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,All transactions; mall proximity = ln distance to nearest mall
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c2,5,2,8,shop3km,commercial_distance,D_location,level,count,0.00478,,5.98,,***,,,high,"Number of shopping malls within 3 km of the flat (mean 7.0); stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.686,t,All transactions; mall proximity = number of malls within 3 km
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,8,bshop500m,commercial_distance,D_location,dummy,binary,-0.0393,,-3.86,,***,,,high,"1 if a shopping mall within 500 m; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,8,bshop800m,commercial_distance,D_location,dummy,binary,0.0553,,5.01,,***,,,high,"1 if a shopping mall within 800 m; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3,6e83e47fe67686f424f9c68dca8dac1370a653d3:T5-c3,5,3,8,bshop1km,commercial_distance,D_location,dummy,binary,-0.0334,,-3.74,,***,,,high,"1 if a shopping mall within 1 km; stars: * p<0.05, ** p<0.01, *** p<0.001",ln total transaction price (tprice),log,OLS,10175.0,0.685,t,"All transactions; mall proximity = binary indicators within 500 m, 800 m and 1 km"
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T6-c1,6,1,15,Building age,age,A_structural,level,years,-0.009,,-87.388,0.001,***,,,high,p printed as <0.001,log of housing unit price (per ping),log,OLS,108671.0,0.533,t,"Full sample, baseline; t values and p values printed in separate columns (classical SE)"
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T7-c2,7,2,16,Building age,age,A_structural,level,years,-0.009,,,,***,,,high,"stars only, no SE printed",log of housing unit price (per ping),log,OLS,107518.0,0.557,none,Model 2: observations with |standardized residual| > 3 removed; stars only
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c1,8,1,17,Building age,age,A_structural,level,years,-0.008,0.0,,,***,,,medium,SE printed as 0.000 (rounded),log of housing unit price (per ping),log,OLS,27708.0,0.591,se,Small units (< 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c2,8,2,17,Building age,age,A_structural,level,years,-0.01,0.0,,,***,,,medium,SE printed as 0.000 (rounded),log of housing unit price (per ping),log,OLS,80963.0,0.526,se,Large units (>= 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T6-c1,6,1,15,Floor area,living_area,A_structural,level,ping (1 ping = 3.306 m2),-0.001,,-19.028,0.001,***,,,high,"Dependent variable is price per ping, so this is the effect of size on unit price; p printed as <0.001",log of housing unit price (per ping),log,OLS,108671.0,0.533,t,"Full sample, baseline; t values and p values printed in separate columns (classical SE)"
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T7-c2,7,2,16,Floor area,living_area,A_structural,level,ping (1 ping = 3.306 m2),-0.001,,,,***,,,high,"Dependent variable is price per ping, so this is the effect of size on unit price; stars only, no SE printed",log of housing unit price (per ping),log,OLS,107518.0,0.557,none,Model 2: observations with |standardized residual| > 3 removed; stars only
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c1,8,1,17,Floor area,living_area,A_structural,level,ping (1 ping = 3.306 m2),-0.003,0.0,,,***,,,medium,"Dependent variable is price per ping, so this is the effect of size on unit price; SE printed as 0.000 (rounded)",log of housing unit price (per ping),log,OLS,27708.0,0.591,se,Small units (< 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c2,8,2,17,Floor area,living_area,A_structural,level,ping (1 ping = 3.306 m2),-0.0,0.0,,,***,,,medium,"Dependent variable is price per ping, so this is the effect of size on unit price; SE printed as 0.000 (rounded); coefficient printed as -0.000",log of housing unit price (per ping),log,OLS,80963.0,0.526,se,Large units (>= 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T6-c1,6,1,15,Floor level,floor_level,A_structural,level,count,0.006,,32.799,0.001,***,,,high,p printed as <0.001,log of housing unit price (per ping),log,OLS,108671.0,0.533,t,"Full sample, baseline; t values and p values printed in separate columns (classical SE)"
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T7-c2,7,2,16,Floor level,floor_level,A_structural,level,count,0.006,,,,***,,,high,"stars only, no SE printed",log of housing unit price (per ping),log,OLS,107518.0,0.557,none,Model 2: observations with |standardized residual| > 3 removed; stars only
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c1,8,1,17,Floor level,floor_level,A_structural,level,count,0.004,0.0,,,***,,,medium,SE printed as 0.000 (rounded),log of housing unit price (per ping),log,OLS,27708.0,0.591,se,Small units (< 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c2,8,2,17,Floor level,floor_level,A_structural,level,count,0.005,0.0,,,***,,,medium,SE printed as 0.000 (rounded),log of housing unit price (per ping),log,OLS,80963.0,0.526,se,Large units (>= 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T6-c1,6,1,15,Has parking,parking,A_structural,binary,binary,-0.08,,-30.929,0.001,***,,,high,p printed as <0.001,log of housing unit price (per ping),log,OLS,108671.0,0.533,t,"Full sample, baseline; t values and p values printed in separate columns (classical SE)"
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T7-c2,7,2,16,Has parking,parking,A_structural,binary,binary,-0.078,,,,***,,,high,"stars only, no SE printed",log of housing unit price (per ping),log,OLS,107518.0,0.557,none,Model 2: observations with |standardized residual| > 3 removed; stars only
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c1,8,1,17,Has parking,parking,A_structural,binary,binary,-0.015,0.009,,,*,,,high,HC1 robust SE,log of housing unit price (per ping),log,OLS,27708.0,0.591,se,Small units (< 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c2,8,2,17,Has parking,parking,A_structural,binary,binary,-0.076,0.003,,,***,,,high,HC1 robust SE,log of housing unit price (per ping),log,OLS,80963.0,0.526,se,Large units (>= 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T6-c1,6,1,15,Has management,other,other,binary,binary,-0.116,,-27.854,0.001,***,,,high,Building has a management organization (condominium management committee); p printed as <0.001,log of housing unit price (per ping),log,OLS,108671.0,0.533,t,"Full sample, baseline; t values and p values printed in separate columns (classical SE)"
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T7-c2,7,2,16,Has management,other,other,binary,binary,-0.115,,,,***,,,high,"Building has a management organization (condominium management committee); stars only, no SE printed",log of housing unit price (per ping),log,OLS,107518.0,0.557,none,Model 2: observations with |standardized residual| > 3 removed; stars only
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c1,8,1,17,Has management,other,other,binary,binary,-0.094,0.011,,,***,,,high,Building has a management organization (condominium management committee); HC1 robust SE,log of housing unit price (per ping),log,OLS,27708.0,0.591,se,Small units (< 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c2,8,2,17,Has management,other,other,binary,binary,-0.114,0.005,,,***,,,high,Building has a management organization (condominium management committee); HC1 robust SE,log of housing unit price (per ping),log,OLS,80963.0,0.526,se,Large units (>= 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T6-c1,6,1,15,Elevator building,accessibility,B_interior,binary,binary,0.15,,33.041,0.001,***,,,high,Elevator building vs walk-up apartment; p printed as <0.001,log of housing unit price (per ping),log,OLS,108671.0,0.533,t,"Full sample, baseline; t values and p values printed in separate columns (classical SE)"
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T7-c2,7,2,16,Elevator building,accessibility,B_interior,binary,binary,0.149,,,,***,,,high,"Elevator building vs walk-up apartment; stars only, no SE printed",log of housing unit price (per ping),log,OLS,107518.0,0.557,none,Model 2: observations with |standardized residual| > 3 removed; stars only
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c1,8,1,17,Elevator building,accessibility,B_interior,binary,binary,0.13,0.013,,,***,,,high,Elevator building vs walk-up apartment; HC1 robust SE,log of housing unit price (per ping),log,OLS,27708.0,0.591,se,Small units (< 25 ping); HC1 robust SE
6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620,6edd1ccf2791c69eb6ab0393c5323dfff21ae620:T8-c2,8,2,17,Elevator building,accessibility,B_interior,binary,binary,0.149,0.006,,,***,,,high,Elevator building vs walk-up apartment; HC1 robust SE,log of housing unit price (per ping),log,OLS,80963.0,0.526,se,Large units (>= 25 ping); HC1 robust SE
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Higher net residential density,density,F_neighbourhood,log,per_km2,-0.003,0.001,,,***,,,high,"ln(1+net residential density per km2) at census-tract level; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Higher net residential density,density,F_neighbourhood,log,per_km2,-0.01,0.001,,,***,,,high,"ln(1+net residential density per km2) at census-tract level; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Higher net residential density,density,F_neighbourhood,log,per_km2,-0.004,0.001,,,**,,,high,"ln(1+net residential density per km2) at census-tract level; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Higher net residential density,density,F_neighbourhood,log,per_km2,0.001,0.001,,,,,,high,"ln(1+net residential density per km2) at census-tract level; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Higher net residential density,density,F_neighbourhood,log,per_km2,-0.009,0.001,,,***,,,high,"ln(1+net residential density per km2) at census-tract level; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Higher intersection density,walkability,D_location,log,per_km2,-0.006,0.003,,,,,,high,"ln(1+four-way intersection density per km2) within 1,200 m network buffer; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Higher intersection density,walkability,D_location,log,per_km2,0.001,0.004,,,,,,high,"ln(1+four-way intersection density per km2) within 1,200 m network buffer; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Higher intersection density,walkability,D_location,log,per_km2,-0.099,0.004,,,***,,,high,"ln(1+four-way intersection density per km2) within 1,200 m network buffer; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Higher intersection density,walkability,D_location,log,per_km2,-0.006,0.003,,,,,,high,"ln(1+four-way intersection density per km2) within 1,200 m network buffer; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Higher intersection density,walkability,D_location,log,per_km2,-0.01,0.004,,,**,,,high,"ln(1+four-way intersection density per km2) within 1,200 m network buffer; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Shorter time distance to the nearest station,transit_distance,D_location,level,minutes,-0.013,0.0,,,***,,,high,"Walking time (minutes) to nearest railway station; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Shorter time distance to the nearest station,transit_distance,D_location,level,minutes,-0.015,0.0,,,***,,,high,"Walking time (minutes) to nearest railway station; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Shorter time distance to the nearest station,transit_distance,D_location,level,minutes,-0.009,0.0,,,***,,,high,"Walking time (minutes) to nearest railway station; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Shorter time distance to the nearest station,transit_distance,D_location,level,minutes,-0.01,0.0,,,***,,,high,"Walking time (minutes) to nearest railway station; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Shorter time distance to the nearest station,transit_distance,D_location,level,minutes,-0.014,0.0,,,***,,,high,"Walking time (minutes) to nearest railway station; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Bars,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.077,0.003,,,***,,,high,"ln(1+density of bars per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Bars,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.086,0.004,,,***,,,high,"ln(1+density of bars per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Bars,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.049,0.003,,,***,,,high,"ln(1+density of bars per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Bars,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.068,0.002,,,***,,,high,"ln(1+density of bars per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Bars,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.087,0.003,,,***,,,high,"ln(1+density of bars per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Cafés,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.104,0.003,,,***,,,high,"ln(1+density of cafés per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Cafés,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.095,0.004,,,***,,,high,"ln(1+density of cafés per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Cafés,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.104,0.004,,,***,,,high,"ln(1+density of cafés per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Cafés,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.082,0.003,,,***,,,high,"ln(1+density of cafés per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Cafés,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.148,0.004,,,***,,,high,"ln(1+density of cafés per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Restaurants,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.014,0.004,,,***,,,high,"ln(1+density of restaurants per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Restaurants,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.048,0.006,,,***,,,high,"ln(1+density of restaurants per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Restaurants,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.006,0.004,,,,,,high,"ln(1+density of restaurants per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Restaurants,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.001,0.003,,,,,,high,"ln(1+density of restaurants per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Restaurants,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.019,0.005,,,***,,,high,"ln(1+density of restaurants per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Hobby classes,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.032,0.003,,,***,,,high,"ln(1+density of hobby classes per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Hobby classes,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.074,0.004,,,***,,,high,"ln(1+density of hobby classes per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Hobby classes,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.018,0.004,,,***,,,high,"ln(1+density of hobby classes per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Hobby classes,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.028,0.003,,,***,,,high,"ln(1+density of hobby classes per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Hobby classes,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.045,0.003,,,***,,,high,"ln(1+density of hobby classes per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Cultural institutions,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.06,0.003,,,***,,,high,"ln(1+density of cultural institutions per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Cultural institutions,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.05,0.004,,,***,,,high,"ln(1+density of cultural institutions per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Cultural institutions,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.029,0.004,,,***,,,high,"ln(1+density of cultural institutions per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Cultural institutions,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.04,0.003,,,***,,,high,"ln(1+density of cultural institutions per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Cultural institutions,neighbourhood_amenities,F_neighbourhood,log,per_km2,-0.081,0.004,,,***,,,high,"ln(1+density of cultural institutions per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Parks,green_space,E_environment,log,per_km2,0.052,0.005,,,***,,,high,"ln(1+density of parks per km2) within 1,200 m; density not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Parks,green_space,E_environment,log,per_km2,0.023,0.005,,,***,,,high,"ln(1+density of parks per km2) within 1,200 m; density not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Parks,green_space,E_environment,log,per_km2,0.043,0.011,,,***,,,high,"ln(1+density of parks per km2) within 1,200 m; density not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Parks,green_space,E_environment,log,per_km2,0.057,0.004,,,***,,,high,"ln(1+density of parks per km2) within 1,200 m; density not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Parks,green_space,E_environment,log,per_km2,0.047,0.006,,,***,,,high,"ln(1+density of parks per km2) within 1,200 m; density not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Gyms and fitness clubs,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.063,0.003,,,***,,,high,"ln(1+density of gyms per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Gyms and fitness clubs,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.07,0.003,,,***,,,high,"ln(1+density of gyms per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Gyms and fitness clubs,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.045,0.003,,,***,,,high,"ln(1+density of gyms per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Gyms and fitness clubs,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.043,0.003,,,***,,,high,"ln(1+density of gyms per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Gyms and fitness clubs,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.082,0.003,,,***,,,high,"ln(1+density of gyms per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Convenience stores,commercial_distance,D_location,log,per_km2,0.092,0.004,,,***,,,high,"ln(1+density of convenience stores per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Convenience stores,commercial_distance,D_location,log,per_km2,0.067,0.006,,,***,,,high,"ln(1+density of convenience stores per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Convenience stores,commercial_distance,D_location,log,per_km2,0.05,0.005,,,***,,,high,"ln(1+density of convenience stores per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Convenience stores,commercial_distance,D_location,log,per_km2,0.108,0.004,,,***,,,high,"ln(1+density of convenience stores per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Convenience stores,commercial_distance,D_location,log,per_km2,0.094,0.005,,,***,,,high,"ln(1+density of convenience stores per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Schools,school_distance,D_location,log,per_km2,0.144,0.004,,,***,,,high,"ln(1+density of schools per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Schools,school_distance,D_location,log,per_km2,0.099,0.005,,,***,,,high,"ln(1+density of schools per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Schools,school_distance,D_location,log,per_km2,0.114,0.005,,,***,,,high,"ln(1+density of schools per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Schools,school_distance,D_location,log,per_km2,0.167,0.004,,,***,,,high,"ln(1+density of schools per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Schools,school_distance,D_location,log,per_km2,0.142,0.004,,,***,,,high,"ln(1+density of schools per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Childcare facilities,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.063,0.003,,,***,,,high,"ln(1+density of childcare facilities per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Childcare facilities,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.052,0.005,,,***,,,high,"ln(1+density of childcare facilities per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Childcare facilities,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.059,0.004,,,***,,,high,"ln(1+density of childcare facilities per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Childcare facilities,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.048,0.003,,,***,,,high,"ln(1+density of childcare facilities per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Childcare facilities,neighbourhood_amenities,F_neighbourhood,log,per_km2,0.059,0.004,,,***,,,high,"ln(1+density of childcare facilities per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Retail shops,commercial_distance,D_location,log,per_km2,0.036,0.003,,,***,,,high,"ln(1+density of retail shops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Retail shops,commercial_distance,D_location,log,per_km2,0.042,0.003,,,***,,,high,"ln(1+density of retail shops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Retail shops,commercial_distance,D_location,log,per_km2,0.015,0.003,,,***,,,high,"ln(1+density of retail shops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Retail shops,commercial_distance,D_location,log,per_km2,0.033,0.003,,,***,,,high,"ln(1+density of retail shops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Retail shops,commercial_distance,D_location,log,per_km2,0.035,0.003,,,***,,,high,"ln(1+density of retail shops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Welfare facilities for older adults,public_services,F_neighbourhood,log,per_km2,0.02,0.003,,,***,,,high,"ln(1+density of welfare facilities for older adults per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Welfare facilities for older adults,public_services,F_neighbourhood,log,per_km2,0.012,0.004,,,**,,,high,"ln(1+density of welfare facilities for older adults per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Welfare facilities for older adults,public_services,F_neighbourhood,log,per_km2,0.005,0.003,,,***,,,high,"ln(1+density of welfare facilities for older adults per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Welfare facilities for older adults,public_services,F_neighbourhood,log,per_km2,0.028,0.003,,,***,,,high,"ln(1+density of welfare facilities for older adults per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Welfare facilities for older adults,public_services,F_neighbourhood,log,per_km2,0.015,0.003,,,***,,,high,"ln(1+density of welfare facilities for older adults per km2) within 1,200 m; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Hospitals,hospital_distance,D_location,log,per_km2,0.028,0.005,,,***,,,high,"ln(1+density of hospitals per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Hospitals,hospital_distance,D_location,log,per_km2,0.017,0.006,,,**,,,high,"ln(1+density of hospitals per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Hospitals,hospital_distance,D_location,log,per_km2,0.021,0.006,,,***,,,high,"ln(1+density of hospitals per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Hospitals,hospital_distance,D_location,log,per_km2,0.018,0.004,,,***,,,high,"ln(1+density of hospitals per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Hospitals,hospital_distance,D_location,log,per_km2,0.073,0.006,,,***,,,high,"ln(1+density of hospitals per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Pharmacies,commercial_distance,D_location,log,per_km2,0.01,0.004,,,**,,,high,"ln(1+density of pharmacies per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Pharmacies,commercial_distance,D_location,log,per_km2,-0.016,0.005,,,***,,,high,"ln(1+density of pharmacies per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Pharmacies,commercial_distance,D_location,log,per_km2,0.037,0.004,,,***,,,high,"ln(1+density of pharmacies per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Pharmacies,commercial_distance,D_location,log,per_km2,0.029,0.004,,,***,,,high,"ln(1+density of pharmacies per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Pharmacies,commercial_distance,D_location,log,per_km2,-0.029,0.005,,,***,,,high,"ln(1+density of pharmacies per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Bus stops,transit_distance,D_location,log,per_km2,0.029,0.003,,,***,,,high,"ln(1+density of bus stops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Bus stops,transit_distance,D_location,log,per_km2,-0.004,0.005,,,,,,high,"ln(1+density of bus stops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Bus stops,transit_distance,D_location,log,per_km2,0.122,0.004,,,***,,,high,"ln(1+density of bus stops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Bus stops,transit_distance,D_location,log,per_km2,0.061,0.004,,,***,,,high,"ln(1+density of bus stops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Bus stops,transit_distance,D_location,log,per_km2,0.03,0.004,,,***,,,high,"ln(1+density of bus stops per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Facility density: Stations,transit_distance,D_location,log,per_km2,0.056,0.005,,,***,,,high,"ln(1+density of railway stations per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Facility density: Stations,transit_distance,D_location,log,per_km2,0.009,0.006,,,,,,high,"ln(1+density of railway stations per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Facility density: Stations,transit_distance,D_location,log,per_km2,0.0,0.006,,,,,,high,"ln(1+density of railway stations per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Facility density: Stations,transit_distance,D_location,log,per_km2,0.068,0.005,,,***,,,high,"ln(1+density of railway stations per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Facility density: Stations,transit_distance,D_location,log,per_km2,0.062,0.006,,,***,,,high,"ln(1+density of railway stations per km2) within 1,200 m; density (access), not distance; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,"Maximum flooding depth (0.0, 3.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.122,0.003,,,***,,,high,"Hazard-map maximum flooding depth between 0 and 3 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,"Maximum flooding depth (0.0, 3.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.118,0.005,,,***,,,high,"Hazard-map maximum flooding depth between 0 and 3 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,"Maximum flooding depth (0.0, 3.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.028,0.004,,,***,,,high,"Hazard-map maximum flooding depth between 0 and 3 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,"Maximum flooding depth (0.0, 3.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.078,0.004,,,***,,,high,"Hazard-map maximum flooding depth between 0 and 3 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,"Maximum flooding depth (0.0, 3.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.134,0.004,,,***,,,high,"Hazard-map maximum flooding depth between 0 and 3 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,"Maximum flooding depth [3.0, 5.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.188,0.005,,,***,,,high,"Hazard-map maximum flooding depth 3-5 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,"Maximum flooding depth [3.0, 5.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.248,0.005,,,***,,,high,"Hazard-map maximum flooding depth 3-5 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,"Maximum flooding depth [3.0, 5.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.006,0.005,,,,,,high,"Hazard-map maximum flooding depth 3-5 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,"Maximum flooding depth [3.0, 5.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.114,0.003,,,***,,,high,"Hazard-map maximum flooding depth 3-5 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,"Maximum flooding depth [3.0, 5.0) m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.189,0.006,,,***,,,high,"Hazard-map maximum flooding depth 3-5 m; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,"Maximum flooding depth [5.0, inf] m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.219,0.007,,,***,,,high,"Hazard-map maximum flooding depth 5 m or more; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,"Maximum flooding depth [5.0, inf] m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.213,0.007,,,***,,,high,"Hazard-map maximum flooding depth 5 m or more; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,"Maximum flooding depth [5.0, inf] m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.085,0.01,,,***,,,high,"Hazard-map maximum flooding depth 5 m or more; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,"Maximum flooding depth [5.0, inf] m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.113,0.005,,,***,,,high,"Hazard-map maximum flooding depth 5 m or more; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,"Maximum flooding depth [5.0, inf] m (ref: 0.0 m)",flood_risk,E_environment,dummy,binary,-0.278,0.016,,,***,,,high,"Hazard-map maximum flooding depth 5 m or more; reference no flood risk; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-ca,3,a,11,Located inside sediment-hazardous areas,other,other,dummy,binary,-0.026,0.005,,,***,,,high,"Designated sediment (landslide) disaster hazard area dummy; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.509,se,All samples (target area); 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cb,3,b,11,Located inside sediment-hazardous areas,other,other,dummy,binary,-0.078,0.007,,,***,,,high,"Designated sediment (landslide) disaster hazard area dummy; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,40661.0,0.543,se,Central cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T3-cc,3,c,11,Located inside sediment-hazardous areas,other,other,dummy,binary,-0.008,0.009,,,,,,high,"Designated sediment (landslide) disaster hazard area dummy; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,30628.0,0.463,se,Other (non-central) cities; 0.50 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-ca,4,a,12,Located inside sediment-hazardous areas,other,other,dummy,binary,-0.004,0.004,,,,,,high,"Designated sediment (landslide) disaster hazard area dummy; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.437,se,All samples; 0.15 conditional quantile; pseudo R2
7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937,7059eb726206d6598f1ef88ae9a43a35a98c6937:T4-cc,4,c,12,Located inside sediment-hazardous areas,other,other,dummy,binary,-0.041,0.007,,,***,,,high,"Designated sediment (landslide) disaster hazard area dummy; stars: * p<0.05, ** p<0.01, *** p<0.001",log sale price (JPY) of single-family detached house,log,quantile,71289.0,0.531,se,All samples; 0.85 conditional quantile; pseudo R2
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,Area,living_area,A_structural,level,m2,0.0032,0.0008,,,***,,,high,Size of the property in m2,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,Area,living_area,A_structural,level,m2,0.0104,0.0011,,,***,,,high,Size of the property in m2,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,Age,age,A_structural,level,years,-0.0018,0.0025,,,,,,high,Age of property in years,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,Age,age,A_structural,level,years,-0.004,0.002,,,*,,,high,Age of property in years,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,State_p,condition,A_structural,level,index,0.3427,0.0368,,,***,,,high,"State of property, score 1 (worst) to 5 (best)","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,State_p,condition,A_structural,level,index,0.238,0.0246,,,***,,,high,"State of property, score 1 (worst) to 5 (best)","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,View,view,E_environment,level,index,0.1568,0.0379,,,***,,,high,"View quality score 1 (worst) to 5 (best), not a binary","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,View,view,E_environment,level,index,0.1489,0.0247,,,***,,,high,"View quality score 1 (worst) to 5 (best), not a binary","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,F_right,other,other,dummy,binary,-0.6878,0.3477,,,*,,,high,Printed name F_right: full-right ownership dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,F_right,other,other,dummy,binary,-0.3506,0.2494,,,,,,high,Printed name F_right: full-right ownership dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,P_right,other,other,dummy,binary,-0.6146,0.3457,,,,,,high,Printed name P_right: partial-right ownership dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,P_right,other,other,dummy,binary,-0.3471,0.2478,,,,,,high,Printed name P_right: partial-right ownership dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,N_bed,bedrooms,A_structural,level,count,0.1361,0.0337,,,***,,,high,Number of bedrooms,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,N_bed,bedrooms,A_structural,level,count,-0.0201,0.0268,,,,,,high,Number of bedrooms,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,N_bath,bathrooms,A_structural,level,count,0.06,0.053,,,,,,high,Number of bathrooms,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,N_bath,bathrooms,A_structural,level,count,-0.0436,0.037,,,,,,high,Number of bathrooms,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,N_balcony,terrace_balcony,C_exterior,level,count,0.0491,0.0514,,,,,,high,Number of balconies,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,N_balcony,terrace_balcony,C_exterior,level,count,0.0229,0.0345,,,,,,high,Number of balconies,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,Parking,parking,A_structural,dummy,binary,-0.0572,0.0692,,,,,,high,Parking dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,Parking,parking,A_structural,dummy,binary,0.2003,0.0734,,,**,,,high,Parking dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,Elevator,accessibility,B_interior,dummy,binary,-0.0411,0.0799,,,,,,high,Elevator dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,Elevator,accessibility,B_interior,dummy,binary,0.0432,0.042,,,,,,high,Elevator dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,SDB,other,other,dummy,binary,-2.2511,0.4437,,,***,,,high,"Printed name SDB: severely damaged building (60-90% destroyed), war damage dummy","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,SDB,other,other,dummy,binary,-0.6999,0.0974,,,***,,,high,"Printed name SDB: severely damaged building (60-90% destroyed), war damage dummy","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,MDB,other,other,dummy,binary,-1.345,0.1674,,,***,,,high,"Printed name MDB: moderately damaged building (30-60%), war damage dummy","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,MDB,other,other,dummy,binary,-0.6056,0.0596,,,***,,,high,"Printed name MDB: moderately damaged building (30-60%), war damage dummy","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,LDB,other,other,dummy,binary,-1.3786,0.1184,,,***,,,high,"Printed name LDB: lightly damaged building (5-30%), war damage dummy","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,LDB,other,other,dummy,binary,-0.5678,0.0552,,,***,,,high,"Printed name LDB: lightly damaged building (5-30%), war damage dummy","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M1,3,Model 1,16,UB,other,other,dummy,binary,-1.2019,0.0826,,,***,,,high,Printed name UB: unaffected building dummy (all four damage dummies printed; reference category unclear),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.603,se,"Damascus Governorate districts (12 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T3-M2,3,Model 2,16,UB,other,other,dummy,binary,-0.4687,0.0539,,,***,,,high,Printed name UB: unaffected building dummy (all four damage dummies printed; reference category unclear),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.474,se,"Rural Damascus Governorate districts (37 districts), property attributes + building war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,State_n,other,other,level,index,0.1616,0.0516,,,**,,,high,Printed name State_n: state of neighbourhood score 1 (worst) to 5 (best),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,State_n,other,other,level,index,0.3971,0.0294,,,***,,,high,Printed name State_n: state of neighbourhood score 1 (worst) to 5 (best),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,HD,density,F_neighbourhood,level,index,-0.0184,0.0505,,,,,,high,Housing density score 1 (densest) to 5 (least dense); inverted density scale,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,HD,density,F_neighbourhood,level,index,0.1048,0.0217,,,***,,,high,Housing density score 1 (densest) to 5 (least dense); inverted density scale,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,QI,public_services,F_neighbourhood,level,index,0.3872,0.0496,,,***,,,high,Quality of infrastructure score 1 (worst) to 5 (best),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,QI,public_services,F_neighbourhood,level,index,0.1436,0.0262,,,***,,,high,Quality of infrastructure score 1 (worst) to 5 (best),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,Regular,other,other,dummy,binary,-0.3343,0.5304,,,,,,high,Printed name Regular: formal settlement dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,Regular,other,other,dummy,binary,-0.101,0.6822,,,,,,high,Printed name Regular: formal settlement dummy,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,Slums,other,other,dummy,binary,-0.2968,0.5293,,,***,,,medium,Printed name Slums: informal settlement dummy; stars printed *** in Model 3 despite SE 0.5293 (as printed),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,Slums,other,other,dummy,binary,-0.0509,0.68,,,,,,high,Printed name Slums: informal settlement dummy; stars printed *** in Model 3 despite SE 0.5293 (as printed),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,Accessibility,cbd_distance,D_location,other,index,0.18214,0.06331,,,**,,,high,"Accessibility to city centre ordinal score 1 (<2 km) to 5 (>8 km), i.e. higher = farther","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,Accessibility,cbd_distance,D_location,other,index,-0.0496,0.0214,,,*,,,high,"Accessibility to city centre ordinal score 1 (<2 km) to 5 (>8 km), i.e. higher = farther","natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,D_city_center,cbd_distance,D_location,level,m,6e-05,4e-05,,,***,,,medium,Distance to city centre (Great Umayyad Mosque) in metres; Model 3 stars *** printed despite SE 0.00004 (as printed),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,D_city_center,cbd_distance,D_location,level,m,4e-05,9e-06,,,**,,,high,Distance to city centre (Great Umayyad Mosque) in metres; Model 3 stars *** printed despite SE 0.00004 (as printed),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,SDD,other,other,dummy,binary,-0.4491,0.1621,,,**,,,high,Printed name SDD: severely damaged district dummy (war),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,SDD,other,other,dummy,binary,-0.6483,0.0526,,,***,,,high,Printed name SDD: severely damaged district dummy (war),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,MDD,other,other,dummy,binary,-1.2068,0.2198,,,***,,,high,Printed name MDD: moderately damaged district dummy (war),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,MDD,other,other,dummy,binary,-0.4209,0.0709,,,***,,,high,Printed name MDD: moderately damaged district dummy (war),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,UD,other,other,dummy,binary,-0.7933,0.0931,,,***,,,high,Printed name UD: unaffected district dummy (war),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,UD,other,other,dummy,binary,-0.5484,0.0733,,,***,,,high,Printed name UD: unaffected district dummy (war),"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M3,4,Model 3,17,D_conflict_point,other,other,level,m,5e-05,2e-05,,,***,,,high,Printed name D_conflict_point: distance to nearest conflict point in metres,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,900.0,0.427,se,"Damascus Governorate districts, district attributes + district war-damage dummies"
71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7,71a2f8a0af3e00fb77bb5a3c7e34234f9d6c71e7:T4-M4,4,Model 4,17,D_conflict_point,other,other,level,m,2e-06,1.6e-05,,,,,,high,Printed name D_conflict_point: distance to nearest conflict point in metres,"natural log of property price (USD, inflation-adjusted to 2010)",log,OLS,1511.0,0.432,se,"Rural Damascus Governorate districts, district attributes + district war-damage dummies"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,homesize,living_area,A_structural,other,"sqft (printed; scale ambiguous, coefficient magnitude implies 1,000 sqft or log)",0.2331,,,,***,,,medium,"Table 5 lists 'Home Size (square feet)'; level-per-sqft scale inconsistent with coefficient size; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,homesize,living_area,A_structural,other,"sqft (printed; scale ambiguous, coefficient magnitude implies 1,000 sqft or log)",0.2877,,,,***,,,medium,"Table 5 lists 'Home Size (square feet)'; level-per-sqft scale inconsistent with coefficient size; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,homesize,living_area,A_structural,other,"sqft (printed; scale ambiguous, coefficient magnitude implies 1,000 sqft or log)",0.248,,,,***,,,medium,"Table 5 lists 'Home Size (square feet)'; level-per-sqft scale inconsistent with coefficient size; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,homesize,living_area,A_structural,other,"sqft (printed; scale ambiguous, coefficient magnitude implies 1,000 sqft or log)",0.283,,,,***,,,medium,"Table 5 lists 'Home Size (square feet)'; level-per-sqft scale inconsistent with coefficient size; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,homesize,living_area,A_structural,other,"sqft (printed; scale ambiguous, coefficient magnitude implies 1,000 sqft or log)",0.2474,,,,***,,,medium,"Table 5 lists 'Home Size (square feet)'; level-per-sqft scale inconsistent with coefficient size; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,homesize,living_area,A_structural,other,"sqft (printed; scale ambiguous, coefficient magnitude implies 1,000 sqft or log)",0.2619,,,,***,,,medium,"Table 5 lists 'Home Size (square feet)'; level-per-sqft scale inconsistent with coefficient size; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,homeage,age,A_structural,level,years,-0.0092,,,,***,,,high,"stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,homeage,age,A_structural,level,years,-0.0097,,,,***,,,high,"stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,homeage,age,A_structural,level,years,-0.0099,,,,***,,,high,"stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,homeage,age,A_structural,level,years,-0.0101,,,,***,,,high,"stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,homeage,age,A_structural,level,years,-0.0086,,,,***,,,high,"stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,homeage,age,A_structural,level,years,-0.0099,,,,***,,,high,"stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Raillineop,transaction_timing,G_market,binary,binary,0.035,,,,***,,,high,"Home sold after (1) vs before (0) the METRORail opening in 2004; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Raillineop,transaction_timing,G_market,binary,binary,0.0398,,,,***,,,high,"Home sold after (1) vs before (0) the METRORail opening in 2004; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Raillineop,transaction_timing,G_market,binary,binary,0.0301,,,,***,,,high,"Home sold after (1) vs before (0) the METRORail opening in 2004; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Raillineop,transaction_timing,G_market,binary,binary,0.0375,,,,***,,,high,"Home sold after (1) vs before (0) the METRORail opening in 2004; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Raillineop,transaction_timing,G_market,binary,binary,0.038,,,,***,,,high,"Home sold after (1) vs before (0) the METRORail opening in 2004; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Raillineop,transaction_timing,G_market,binary,binary,0.0353,,,,***,,,high,"Home sold after (1) vs before (0) the METRORail opening in 2004; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,RailQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRORail stop),0.4288,,,,***,,,high,"Distance-band dummy; reference = beyond 3 miles; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,RailQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRORail stop),0.3911,,,,***,,,high,"Distance-band dummy; reference = beyond 3 miles; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,RailQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRORail stop),0.6012,,,,***,,,high,"Distance-band dummy; reference = beyond 3 miles; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,RailQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRORail stop),0.4246,,,,**,,,high,"Distance-band dummy; reference = beyond 3 miles; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,RailQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRORail stop),0.3593,,,,*,,,high,"Distance-band dummy; reference = beyond 3 miles; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,RailQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRORail stop),0.4394,,,,**,,,high,"Distance-band dummy; reference = beyond 3 miles; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,RailHMI,transit_distance,D_location,dummy,binary (1/4-1/2 mile of METRORail stop),0.2462,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,RailHMI,transit_distance,D_location,dummy,binary (1/4-1/2 mile of METRORail stop),0.3598,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,RailHMI,transit_distance,D_location,dummy,binary (1/4-1/2 mile of METRORail stop),0.5019,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,RailHMI,transit_distance,D_location,dummy,binary (1/4-1/2 mile of METRORail stop),0.461,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,RailHMI,transit_distance,D_location,dummy,binary (1/4-1/2 mile of METRORail stop),0.3226,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,RailHMI,transit_distance,D_location,dummy,binary (1/4-1/2 mile of METRORail stop),0.4727,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Rail1MI,transit_distance,D_location,dummy,binary (1/2-1 mile of METRORail stop),0.2381,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Rail1MI,transit_distance,D_location,dummy,binary (1/2-1 mile of METRORail stop),0.3277,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Rail1MI,transit_distance,D_location,dummy,binary (1/2-1 mile of METRORail stop),0.374,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Rail1MI,transit_distance,D_location,dummy,binary (1/2-1 mile of METRORail stop),0.34,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Rail1MI,transit_distance,D_location,dummy,binary (1/2-1 mile of METRORail stop),0.2381,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Rail1MI,transit_distance,D_location,dummy,binary (1/2-1 mile of METRORail stop),0.3627,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Rail2MI,transit_distance,D_location,dummy,binary (1-2 miles of METRORail stop),0.1791,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Rail2MI,transit_distance,D_location,dummy,binary (1-2 miles of METRORail stop),0.3021,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Rail2MI,transit_distance,D_location,dummy,binary (1-2 miles of METRORail stop),0.2518,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Rail2MI,transit_distance,D_location,dummy,binary (1-2 miles of METRORail stop),0.2095,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Rail2MI,transit_distance,D_location,dummy,binary (1-2 miles of METRORail stop),0.1417,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Rail2MI,transit_distance,D_location,dummy,binary (1-2 miles of METRORail stop),0.2249,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Rail3Mi,transit_distance,D_location,dummy,binary (2-3 miles of METRORail stop),0.0884,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Rail3Mi,transit_distance,D_location,dummy,binary (2-3 miles of METRORail stop),0.2121,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Rail3Mi,transit_distance,D_location,dummy,binary (2-3 miles of METRORail stop),0.1668,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Rail3Mi,transit_distance,D_location,dummy,binary (2-3 miles of METRORail stop),0.2175,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Rail3Mi,transit_distance,D_location,dummy,binary (2-3 miles of METRORail stop),0.1502,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Rail3Mi,transit_distance,D_location,dummy,binary (2-3 miles of METRORail stop),0.2155,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,BusStQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRO bus stop),-0.0146,,,,***,,,high,"Bus stop proximity dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,BusStQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRO bus stop),0.0945,,,,***,,,high,"Bus stop proximity dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,BusStQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRO bus stop),0.0416,,,,***,,,high,"Bus stop proximity dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,BusStQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRO bus stop),0.1131,,,,***,,,high,"Bus stop proximity dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,BusStQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRO bus stop),0.0859,,,,***,,,high,"Bus stop proximity dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,BusStQMI,transit_distance,D_location,dummy,binary (within 1/4 mile of METRO bus stop),0.0935,,,,***,,,high,"Bus stop proximity dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Hwyhmi,highway_distance,D_location,dummy,binary (within 1/2 mile of highway intersection),-0.0053,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Hwyhmi,highway_distance,D_location,dummy,binary (within 1/2 mile of highway intersection),-0.0015,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Hwyhmi,highway_distance,D_location,dummy,binary (within 1/2 mile of highway intersection),0.0067,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Hwyhmi,highway_distance,D_location,dummy,binary (within 1/2 mile of highway intersection),-0.0097,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Hwyhmi,highway_distance,D_location,dummy,binary (within 1/2 mile of highway intersection),0.0056,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Hwyhmi,highway_distance,D_location,dummy,binary (within 1/2 mile of highway intersection),-0.0144,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Hwy1mi,highway_distance,D_location,dummy,binary (1/2-1 mile of highway intersection),-0.0088,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Hwy1mi,highway_distance,D_location,dummy,binary (1/2-1 mile of highway intersection),0.0034,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Hwy1mi,highway_distance,D_location,dummy,binary (1/2-1 mile of highway intersection),0.0187,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Hwy1mi,highway_distance,D_location,dummy,binary (1/2-1 mile of highway intersection),0.0251,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Hwy1mi,highway_distance,D_location,dummy,binary (1/2-1 mile of highway intersection),0.031,,,,*,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Hwy1mi,highway_distance,D_location,dummy,binary (1/2-1 mile of highway intersection),0.0139,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Hwy2mi,highway_distance,D_location,dummy,binary (1-2 miles of highway intersection),0.0136,,,,**,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Hwy2mi,highway_distance,D_location,dummy,binary (1-2 miles of highway intersection),0.0129,,,,***,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Hwy2mi,highway_distance,D_location,dummy,binary (1-2 miles of highway intersection),0.0293,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Hwy2mi,highway_distance,D_location,dummy,binary (1-2 miles of highway intersection),0.0219,,,,*,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Hwy2mi,highway_distance,D_location,dummy,binary (1-2 miles of highway intersection),0.0223,,,,*,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Hwy2mi,highway_distance,D_location,dummy,binary (1-2 miles of highway intersection),0.0164,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Hwy3mi,highway_distance,D_location,dummy,binary (2-3 miles of highway intersection),0.0076,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Hwy3mi,highway_distance,D_location,dummy,binary (2-3 miles of highway intersection),-0.0055,,,,*,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Hwy3mi,highway_distance,D_location,dummy,binary (2-3 miles of highway intersection),0.0085,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Hwy3mi,highway_distance,D_location,dummy,binary (2-3 miles of highway intersection),0.0047,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Hwy3mi,highway_distance,D_location,dummy,binary (2-3 miles of highway intersection),0.0079,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Hwy3mi,highway_distance,D_location,dummy,binary (2-3 miles of highway intersection),-0.0025,,,,,,,high,"Distance-band dummy; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Distcbd,cbd_distance,D_location,log,miles (log of Euclidean distance to Downtown Houston; unit assumed miles),0.0075,,,,**,,,medium,"Logarithm of Euclidean distance to Downtown CBD (p. 253); distance unit not printed; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Distcbd,cbd_distance,D_location,log,miles (log of Euclidean distance to Downtown Houston; unit assumed miles),-0.0049,,,,**,,,medium,"Logarithm of Euclidean distance to Downtown CBD (p. 253); distance unit not printed; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Distcbd,cbd_distance,D_location,log,miles (log of Euclidean distance to Downtown Houston; unit assumed miles),-0.0071,,,,,,,medium,"Logarithm of Euclidean distance to Downtown CBD (p. 253); distance unit not printed; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Distcbd,cbd_distance,D_location,log,miles (log of Euclidean distance to Downtown Houston; unit assumed miles),-0.007,,,,***,,,medium,"Logarithm of Euclidean distance to Downtown CBD (p. 253); distance unit not printed; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Distcbd,cbd_distance,D_location,log,miles (log of Euclidean distance to Downtown Houston; unit assumed miles),-0.0087,,,,***,,,medium,"Logarithm of Euclidean distance to Downtown CBD (p. 253); distance unit not printed; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Distcbd,cbd_distance,D_location,log,miles (log of Euclidean distance to Downtown Houston; unit assumed miles),-0.0062,,,,*,,,medium,"Logarithm of Euclidean distance to Downtown CBD (p. 253); distance unit not printed; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Distmed,employment_access,D_location,log,miles (log of Euclidean distance to Texas Medical Center; unit assumed miles),-0.0267,,,,***,,,medium,"Logarithm of Euclidean distance to the Texas Medical Center employment centre; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Distmed,employment_access,D_location,log,miles (log of Euclidean distance to Texas Medical Center; unit assumed miles),-0.0192,,,,***,,,medium,"Logarithm of Euclidean distance to the Texas Medical Center employment centre; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Distmed,employment_access,D_location,log,miles (log of Euclidean distance to Texas Medical Center; unit assumed miles),-0.0188,,,,***,,,medium,"Logarithm of Euclidean distance to the Texas Medical Center employment centre; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Distmed,employment_access,D_location,log,miles (log of Euclidean distance to Texas Medical Center; unit assumed miles),-0.0171,,,,***,,,medium,"Logarithm of Euclidean distance to the Texas Medical Center employment centre; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Distmed,employment_access,D_location,log,miles (log of Euclidean distance to Texas Medical Center; unit assumed miles),-0.0112,,,,***,,,medium,"Logarithm of Euclidean distance to the Texas Medical Center employment centre; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Distmed,employment_access,D_location,log,miles (log of Euclidean distance to Texas Medical Center; unit assumed miles),-0.0183,,,,***,,,medium,"Logarithm of Euclidean distance to the Texas Medical Center employment centre; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Medinc,income,F_neighbourhood,level,"currency (median household income, $1000, TAZ level)",0.0062,,,,***,,,high,"Level-2 (TAZ) variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Medinc,income,F_neighbourhood,level,"currency (median household income, $1000, TAZ level)",0.0034,,,,***,,,high,"Level-2 (TAZ) variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Medinc,income,F_neighbourhood,level,"currency (median household income, $1000, TAZ level)",0.0048,,,,***,,,high,"Level-2 (TAZ) variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Medinc,income,F_neighbourhood,level,"currency (median household income, $1000, TAZ level)",0.0033,,,,***,,,high,"Level-2 (TAZ) variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Medinc,income,F_neighbourhood,level,"currency (median household income, $1000, TAZ level)",0.0021,,,,***,,,high,"Level-2 (TAZ) variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Medinc,income,F_neighbourhood,level,"currency (median household income, $1000, TAZ level)",0.0035,,,,***,,,high,"Level-2 (TAZ) variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Popdens,density,F_neighbourhood,level,"per unit area (population density, TAZ; unit not printed)",0.003,,,,*,,,medium,"Level-2 variable; density unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Popdens,density,F_neighbourhood,level,"per unit area (population density, TAZ; unit not printed)",-0.0071,,,,***,,,medium,"Level-2 variable; density unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Popdens,density,F_neighbourhood,level,"per unit area (population density, TAZ; unit not printed)",-0.0042,,,,*,,,medium,"Level-2 variable; density unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Popdens,density,F_neighbourhood,level,"per unit area (population density, TAZ; unit not printed)",-0.0064,,,,***,,,medium,"Level-2 variable; density unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Popdens,density,F_neighbourhood,level,"per unit area (population density, TAZ; unit not printed)",-0.0034,,,,**,,,medium,"Level-2 variable; density unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Popdens,density,F_neighbourhood,level,"per unit area (population density, TAZ; unit not printed)",-0.0066,,,,***,,,medium,"Level-2 variable; density unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Jobdens,employment_access,D_location,level,"per unit area (job density, TAZ; unit not printed)",0.0026,,,,***,,,medium,"Level-2 variable; total job density, unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Jobdens,employment_access,D_location,level,"per unit area (job density, TAZ; unit not printed)",0.0034,,,,***,,,medium,"Level-2 variable; total job density, unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Jobdens,employment_access,D_location,level,"per unit area (job density, TAZ; unit not printed)",0.0026,,,,**,,,medium,"Level-2 variable; total job density, unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Jobdens,employment_access,D_location,level,"per unit area (job density, TAZ; unit not printed)",0.0045,,,,***,,,medium,"Level-2 variable; total job density, unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Jobdens,employment_access,D_location,level,"per unit area (job density, TAZ; unit not printed)",0.0029,,,,***,,,medium,"Level-2 variable; total job density, unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Jobdens,employment_access,D_location,level,"per unit area (job density, TAZ; unit not printed)",0.0038,,,,***,,,medium,"Level-2 variable; total job density, unit not stated; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Pctminor,demographics,F_neighbourhood,level,"share (percentage of minority population, TAZ)",-0.5325,,,,***,,,high,"Level-2 variable; magnitude (-0.5 to -0.67) suggests share in 0-1; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Pctminor,demographics,F_neighbourhood,level,"share (percentage of minority population, TAZ)",-0.6479,,,,***,,,high,"Level-2 variable; magnitude (-0.5 to -0.67) suggests share in 0-1; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Pctminor,demographics,F_neighbourhood,level,"share (percentage of minority population, TAZ)",-0.6615,,,,***,,,high,"Level-2 variable; magnitude (-0.5 to -0.67) suggests share in 0-1; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Pctminor,demographics,F_neighbourhood,level,"share (percentage of minority population, TAZ)",-0.6687,,,,***,,,high,"Level-2 variable; magnitude (-0.5 to -0.67) suggests share in 0-1; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Pctminor,demographics,F_neighbourhood,level,"share (percentage of minority population, TAZ)",-0.5012,,,,***,,,high,"Level-2 variable; magnitude (-0.5 to -0.67) suggests share in 0-1; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Pctminor,demographics,F_neighbourhood,level,"share (percentage of minority population, TAZ)",-0.6629,,,,***,,,high,"Level-2 variable; magnitude (-0.5 to -0.67) suggests share in 0-1; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c1,7,1,18,Jobacess,employment_access,D_location,level,"index (Hansen total job accessibility, TAZ)",0.0004,,,,***,,,high,"Level-2 variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,384368.0,0.4798,none,"100% sample, multilevel regression (level 2 = TAZ, 1,427 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c2,7,2,18,Jobacess,employment_access,D_location,level,"index (Hansen total job accessibility, TAZ)",0.0001,,,,***,,,high,"Level-2 variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,384368.0,0.436,none,100% sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c3,7,3,18,Jobacess,employment_access,D_location,level,"index (Hansen total job accessibility, TAZ)",0.0001,,,,,,,high,"Level-2 variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,other,19072.0,0.5063,none,"5% random sample, multilevel regression (1,207 zones) (pseudo R2 reported)"
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c4,7,4,18,Jobacess,employment_access,D_location,level,"index (Hansen total job accessibility, TAZ)",0.0001,,,,***,,,high,"Level-2 variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,OLS,19072.0,0.4447,none,5% random sample OLS
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c5,7,5,18,Jobacess,employment_access,D_location,level,"index (Hansen total job accessibility, TAZ)",0.0001,,,,***,,,high,"Level-2 variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_lag,19072.0,0.4691,none,5% random sample spatial lag model (rho=0.2420***)
721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a,721bde276de0a5af885925a9444c628cfce6d18a:T7-c6,7,6,18,Jobacess,employment_access,D_location,level,"index (Hansen total job accessibility, TAZ)",0.0001,,,,***,,,high,"Level-2 variable; stars only, no SE/t printed","Lgval1000: log of home sale price ($1000, 2010 CPI-adjusted)",log,spatial_error,19072.0,0.4581,none,5% random sample spatial error model (lambda=0.2049***)
74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615:T4-M1,4,M1,7,X1 (number of bedrooms),bedrooms,A_structural,level,count,88540000.0,39390000.0,2.248,0.025,,,,high,VIF 10.08,housing price (IDR),level,OLS,1713.0,0.428,none,Complete cases from Kaggle dataset; adj R2 0.427
74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615:T4-M1,4,M1,7,X2 (number of bathrooms),bathrooms,A_structural,level,count,164200000.0,39390000.0,4.169,0.001,,,,high,p printed as < .001; VIF 10.26,housing price (IDR),level,OLS,1713.0,0.428,none,Complete cases from Kaggle dataset; adj R2 0.427
74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615:T4-M1,4,M1,7,X3 (land area),lot_size,A_structural,level,m2,3729000.0,243986.024,15.282,0.001,,,,high,p printed as < .001,housing price (IDR),level,OLS,1713.0,0.428,none,Complete cases from Kaggle dataset; adj R2 0.427
74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615:T4-M1,4,M1,7,X4 (house area),living_area,A_structural,level,m2,0.301,0.722,0.417,0.677,,,,medium,"Variable badly scaled in source data (mean 1.19e6 m2, max 2.4e9 m2); coefficient printed as 0.301 (SE 0.722)",housing price (IDR),level,OLS,1713.0,0.428,none,Complete cases from Kaggle dataset; adj R2 0.427
74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615,74099967a079fff42f0df3135c0f69cc4e059615:T4-M1,4,M1,7,X5 (vehicle slots),parking,A_structural,level,count,160600000.0,44080000.0,3.643,0.001,,,,high,p printed as < .001,housing price (IDR),level,OLS,1713.0,0.428,none,Complete cases from Kaggle dataset; adj R2 0.427
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T5-c1,5,1,8,Size (m2),living_area,A_structural,level,m2,30.032,0.039,1.7,0.0,,,,low,Property area in m2; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,Asking price per m2 (EUR/m2),per_m2,OLS,1000.0,0.721,none,"Linear HPM, 1000 Idealista listings, Seville, August 2022; r = 0.85, R2 = 0.721, p <= 0.001; SE and t printed in separate columns; rooms variable not retained"
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T5-c1,5,1,8,Baths (n),bathrooms,A_structural,level,count,98.725,0.042,0.14,0.0,,,,low,Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,Asking price per m2 (EUR/m2),per_m2,OLS,1000.0,0.721,none,"Linear HPM, 1000 Idealista listings, Seville, August 2022; r = 0.85, R2 = 0.721, p <= 0.001; SE and t printed in separate columns; rooms variable not retained"
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T5-c1,5,1,8,Age (years),age,A_structural,level,years,-53.31,1.42,-1.42,0.0,,,,low,Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,Asking price per m2 (EUR/m2),per_m2,OLS,1000.0,0.721,none,"Linear HPM, 1000 Idealista listings, Seville, August 2022; r = 0.85, R2 = 0.721, p <= 0.001; SE and t printed in separate columns; rooms variable not retained"
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T5-c1,5,1,8,Green area (m2/inh),green_space,E_environment,level,m2 per inhabitant,11.145,0.87,0.872,0.0,,,,low,Green area per inhabitant in the set of districts (district-level variable); Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,Asking price per m2 (EUR/m2),per_m2,OLS,1000.0,0.721,none,"Linear HPM, 1000 Idealista listings, Seville, August 2022; r = 0.85, R2 = 0.721, p <= 0.001; SE and t printed in separate columns; rooms variable not retained"
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T6-c1,6,1,9,Room,bedrooms,A_structural,other,count,1.39,1.08,1.29,0.0,,,,low,Number of bedrooms; transformation in 'logarithmic model' not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,"Asking price per m2 (EUR/m2), 'logarithmic model' (functional form not written out; likely regressors in logs)",other,OLS,1000.0,0.667,none,"Logarithmic HPM; r = 0.816, R2 = 0.667, p <= 0.001; size variable not retained (rooms instead)"
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T6-c1,6,1,9,Baths (n),bathrooms,A_structural,other,count,0.26,0.6,0.432,0.0,,,,low,transformation not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,"Asking price per m2 (EUR/m2), 'logarithmic model' (functional form not written out; likely regressors in logs)",other,OLS,1000.0,0.667,none,"Logarithmic HPM; r = 0.816, R2 = 0.667, p <= 0.001; size variable not retained (rooms instead)"
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T6-c1,6,1,9,Age (years),age,A_structural,other,years,-0.365,0.205,-1.78,0.0,,,,low,transformation not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,"Asking price per m2 (EUR/m2), 'logarithmic model' (functional form not written out; likely regressors in logs)",other,OLS,1000.0,0.667,none,"Logarithmic HPM; r = 0.816, R2 = 0.667, p <= 0.001; size variable not retained (rooms instead)"
755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76,755578f10943061d8e5adfd02909b14166725d76:T6-c1,6,1,9,Green area (m2/inh),green_space,E_environment,other,m2 per inhabitant,-0.013,0.13,-0.1,0.0,,,,low,district-level; transformation not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version,"Asking price per m2 (EUR/m2), 'logarithmic model' (functional form not written out; likely regressors in logs)",other,OLS,1000.0,0.667,none,"Logarithmic HPM; r = 0.816, R2 = 0.667, p <= 0.001; size variable not retained (rooms instead)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,FREEHOLD,other,other,dummy,binary,0.294,,18.733,,,,,high,"freehold (vs leasehold) tenure dummy; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.159; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,FREEHOLD,other,other,dummy,binary,0.155,,,,,,,medium,"freehold (vs leasehold) tenure dummy; GWR local-coefficient median; lower quartile 0.084, upper quartile 0.232; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,FLOORSIZE,living_area,A_structural,level,m2,0.005,,49.578,,,,,high,"floor area in square metres; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.542; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,FLOORSIZE,living_area,A_structural,level,m2,0.005,,,,,,,medium,"floor area in square metres; GWR local-coefficient median; lower quartile 0.004, upper quartile 0.005; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,LOTSIZE,lot_size,A_structural,level,m2,0.000186,,9.593,,,,,high,"lot size in square metres; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.086; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,LOTSIZE,lot_size,A_structural,level,m2,0.000403,,,,,,,medium,"lot size in square metres; GWR local-coefficient median; lower quartile 0.00048, upper quartile 0.001; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,BEDROOMS,bedrooms,A_structural,dummy,binary,0.19,,11.497,,,,,high,"dummy = 1 if four or more bedrooms; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.108; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,BEDROOMS,bedrooms,A_structural,dummy,binary,0.132,,,,,,,medium,"dummy = 1 if four or more bedrooms; GWR local-coefficient median; lower quartile 0.076, upper quartile 0.173; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,TYPE_TERRACED,dwelling_type,A_structural,dummy,binary,-0.084,,-2.841,,,,,high,"dummy = 1 if cluster/terraced house (reference: detached and other types); t-ratio printed in separate column, no SE; printed standardised coefficient = -0.043; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,TYPE_TERRACED,dwelling_type,A_structural,dummy,binary,0.29,,,,,,,medium,"dummy = 1 if cluster/terraced house (reference: detached and other types); GWR local-coefficient median; lower quartile 0.038, upper quartile 0.391; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,TYPE_TOWNHOUSE,dwelling_type,A_structural,dummy,binary,-0.223,,-5.645,,,,,high,"dummy = 1 if town house; t-ratio printed in separate column, no SE; printed standardised coefficient = -0.062; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,TYPE_TOWNHOUSE,dwelling_type,A_structural,dummy,binary,0.024,,,,,,,medium,"dummy = 1 if town house; GWR local-coefficient median; lower quartile -0.21, upper quartile 0.179; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,TYPE_SEMIDETACHED,dwelling_type,A_structural,dummy,binary,0.357,,10.454,,,,,high,"dummy = 1 if semi-detached; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.124; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,TYPE_SEMIDETACHED,dwelling_type,A_structural,dummy,binary,0.571,,,,,,,medium,"dummy = 1 if semi-detached; GWR local-coefficient median; lower quartile 0.338, upper quartile 0.635; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,TYPE_BUNGALOW,dwelling_type,A_structural,dummy,binary,0.442,,9.869,,,,,high,"dummy = 1 if bungalow; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.096; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,TYPE_BUNGALOW,dwelling_type,A_structural,dummy,binary,0.361,,,,,,,medium,"dummy = 1 if bungalow; GWR local-coefficient median; lower quartile 0.182, upper quartile 0.497; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,PRIMARY_SCHOOL,school_distance,D_location,level,m,2.832e-05,,2.783,,,,,high,"network distance in metres to nearest primary school; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.031; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,PRIMARY_SCHOOL,school_distance,D_location,level,m,1.4e-05,,,,,,,medium,"network distance in metres to nearest primary school; GWR local-coefficient median; lower quartile 2.7e-05, upper quartile 8.5e-05; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,SECONDARY_SCHOOL,school_distance,D_location,level,m,5.244e-05,,6.881,,,,,high,"network distance in metres to nearest secondary school; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.07; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,SECONDARY_SCHOOL,school_distance,D_location,level,m,3.9e-05,,,,,,,medium,"network distance in metres to nearest secondary school; GWR local-coefficient median; lower quartile 9e-06, upper quartile 0.000107; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,SHOPMALL,commercial_distance,D_location,level,m,-8.112e-05,,-11.385,,,,,high,"network distance in metres to nearest shopping mall; t-ratio printed in separate column, no SE; printed standardised coefficient = -0.112; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,SHOPMALL,commercial_distance,D_location,level,m,-5.6e-05,,,,,,,medium,"network distance in metres to nearest shopping mall; GWR local-coefficient median; lower quartile -8e-05, upper quartile -4e-06; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,FOREST,green_space,E_environment,level,m,-2.973e-05,,-5.934,,,,,high,"network distance in metres to nearest forest; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.052; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,FOREST,green_space,E_environment,level,m,-4e-06,,,,,,,medium,"network distance in metres to nearest forest; GWR local-coefficient median; lower quartile -2.2e-05, upper quartile 8e-06; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,RAIL_STATION,transit_distance,D_location,dummy,binary,-0.036,,-2.132,,,,,high,"dummy = 1 if within 2 km radius of nearest rail station; t-ratio printed in separate column, no SE; printed standardised coefficient = -0.018; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,RAIL_STATION,transit_distance,D_location,dummy,binary,-0.019,,,,,,,medium,"dummy = 1 if within 2 km radius of nearest rail station; GWR local-coefficient median; lower quartile -0.073, upper quartile 0.03; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,MALAY,demographics,F_neighbourhood,level,share,0.041,,12.629,,,,,high,"percentage of residents of Malay ethnicity in the area; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.117; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,MALAY,demographics,F_neighbourhood,level,share,0.033,,,,,,,medium,"percentage of residents of Malay ethnicity in the area; GWR local-coefficient median; lower quartile 0.006, upper quartile 0.07; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-HPM,2,Hedonic price model (HPM),7,CHINESE,demographics,F_neighbourhood,level,share,0.025,,7.416,,,,,high,"percentage of residents of Chinese ethnicity in the area; t-ratio printed in separate column, no SE; printed standardised coefficient = 0.067; text states all variables significant at 1% level",ln selling price (MYR),log,OLS,4393.0,0.73,none,"global semi-log OLS, landed residential sales Kuala Lumpur 2010; r2 = adjusted R2; AICc 5663.63; t-ratio in separate column; variables retained by significance (stepwise-type selection)"
75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65,75ba68147bf6e34f9b631b70a8cea636eda11e65:T2-GWR,2,GWR model (median of local coefficients),7,CHINESE,demographics,F_neighbourhood,level,share,-0.002,,,,,,,medium,"percentage of residents of Chinese ethnicity in the area; GWR local-coefficient median; lower quartile -0.037, upper quartile 0.025; no inference printed",ln selling price (MYR),log,GWR,4393.0,0.85,none,"geographically weighted regression; beta = median of local coefficients, lower/upper quartiles in notes; no SE or t printed; r2 = adjusted R2; AICc 3185.55"
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Income ('000' BDT/month),other,other,level,currency,0.0031,0.0009,,,***,,,high,"Tenant household monthly income, thousand BDT",Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Income ('000' BDT/month),other,other,level,currency,0.0015,0.0016,,,,,,high,"Tenant household monthly income, thousand BDT",Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Income ('000' BDT/month),other,other,level,currency,0.0037,0.0013,,,***,,,high,"Tenant household monthly income, thousand BDT",Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Age of house (Years),age,A_structural,level,years,-0.0023,0.0018,,,,,,high,,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Age of house (Years),age,A_structural,level,years,-0.0085,0.0064,,,,,,high,,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Age of house (Years),age,A_structural,level,years,-0.0019,0.0018,,,,,,high,,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Two rooms (=1),bedrooms,A_structural,dummy,binary,0.3915,0.0924,,,***,,,medium,Two-room flat (ref. one room); planned-area column blank,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Two rooms (=1),bedrooms,A_structural,dummy,binary,0.4072,0.0835,,,***,,,medium,Two-room flat (ref. one room); planned-area column blank,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Three rooms (=1),bedrooms,A_structural,dummy,binary,0.4772,0.0908,,,***,,,high,Three-room flat (ref. one room),Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Three rooms (=1),bedrooms,A_structural,dummy,binary,-0.0137,0.1151,,,,,,high,Three-room flat (ref. one room),Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Three rooms (=1),bedrooms,A_structural,dummy,binary,0.4943,0.0814,,,***,,,high,Three-room flat (ref. one room),Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Four rooms (=1),bedrooms,A_structural,dummy,binary,0.6137,0.103,,,***,,,high,Four-room flat (ref. one room),Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Four rooms (=1),bedrooms,A_structural,dummy,binary,0.0777,0.1291,,,,,,high,Four-room flat (ref. one room),Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Four rooms (=1),bedrooms,A_structural,dummy,binary,0.6826,0.1178,,,***,,,high,Four-room flat (ref. one room),Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Garage (=1),garage,A_structural,dummy,binary,0.1549,0.0425,,,***,,,high,,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Garage (=1),garage,A_structural,dummy,binary,0.183,0.0803,,,**,,,high,,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Garage (=1),garage,A_structural,dummy,binary,0.124,0.0569,,,**,,,high,,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Ventilation (1 = Poor to 5 = Excellent),other,other,level,index,0.054,0.0148,,,***,,,high,Perceived ventilation amenity score 1-5,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Ventilation (1 = Poor to 5 = Excellent),other,other,level,index,0.0785,0.0324,,,**,,,high,Perceived ventilation amenity score 1-5,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Ventilation (1 = Poor to 5 = Excellent),other,other,level,index,0.044,0.0174,,,**,,,high,Perceived ventilation amenity score 1-5,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Open space (meters),green_space,E_environment,level,m,-0.0002,0.0001,,,***,,,high,Distance to nearest open space in metres,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Open space (meters),green_space,E_environment,level,m,-0.0002,0.0002,,,,,,high,Distance to nearest open space in metres,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Open space (meters),green_space,E_environment,level,m,-0.0003,0.0001,,,***,,,high,Distance to nearest open space in metres,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Waterlogging (1 = No to 5 = Extreme),flood_risk,E_environment,level,index,-0.0369,0.0146,,,**,,,high,Perceived waterlogging severity 1-5,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Waterlogging (1 = No to 5 = Extreme),flood_risk,E_environment,level,index,-0.0601,0.0309,,,*,,,high,Perceived waterlogging severity 1-5,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Waterlogging (1 = No to 5 = Extreme),flood_risk,E_environment,level,index,-0.0201,0.0164,,,,,,high,Perceived waterlogging severity 1-5,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Landfill (1 = No to 5 = Extreme),hazard_site,E_environment,level,index,-0.098,0.0163,,,***,,,high,Perceived landfilling (waste) severity 1-5,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Landfill (1 = No to 5 = Extreme),hazard_site,E_environment,level,index,-0.1218,0.0381,,,***,,,high,Perceived landfilling (waste) severity 1-5,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Landfill (1 = No to 5 = Extreme),hazard_site,E_environment,level,index,-0.0941,0.0183,,,***,,,high,Perceived landfilling (waste) severity 1-5,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Stationary shop distance within 0.5-1 km,commercial_distance,D_location,dummy,binary,0.0276,0.0512,,,,,,high,ref. < 0.5 km,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Stationary shop distance within 0.5-1 km,commercial_distance,D_location,dummy,binary,0.0309,0.0925,,,,,,high,ref. < 0.5 km,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Stationary shop distance within 0.5-1 km,commercial_distance,D_location,dummy,binary,-0.0006,0.0646,,,,,,high,ref. < 0.5 km,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Stationary shop distance above 1 km,commercial_distance,D_location,dummy,binary,-0.0563,0.0895,,,,,,high,ref. < 0.5 km,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Stationary shop distance above 1 km,commercial_distance,D_location,dummy,binary,0.0329,0.2432,,,,,,high,ref. < 0.5 km,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Stationary shop distance above 1 km,commercial_distance,D_location,dummy,binary,-0.1015,0.0983,,,,,,high,ref. < 0.5 km,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Hospital distance (km),hospital_distance,D_location,level,km,-0.1665,0.0505,,,***,,,high,,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,Hospital distance (km),hospital_distance,D_location,level,km,-0.1722,0.0756,,,**,,,high,,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,Hospital distance (km),hospital_distance,D_location,level,km,-0.186,0.0882,,,**,,,high,,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,School distance (km),school_distance,D_location,level,km,-0.2411,0.0438,,,***,,,high,,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c2,3,2 (Planned areas),9,School distance (km),school_distance,D_location,level,km,-0.0476,0.1283,,,,,,high,,Log of rent,log,OLS,72.0,0.6072,se,planned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c3,3,3 (Unplanned areas),9,School distance (km),school_distance,D_location,level,km,-0.254,0.0745,,,***,,,high,,Log of rent,log,OLS,129.0,0.7954,se,unplanned residential areas
75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884,75d0711aebd70fde400d1a6a49265e443bbe1884:T3-c1,3,1 (Overall),9,Planned areas (=1),other,other,dummy,binary,0.0343,0.0448,,,,,,high,Planned residential area indicator,Log of rent,log,OLS,201.0,0.7904,se,Khulna city overall
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Leq 16h,noise,E_environment,level,db,-0.0098,0.001,,,,,,high,"Aircraft noise Leq 16h daytime, dB(A) above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Leq 16h,noise,E_environment,level,db,-0.007,0.0013,,,,,,high,"Aircraft noise Leq 16h daytime, dB(A) above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Leq 16h,noise,E_environment,level,db,-0.0098,0.0009,,,,,,high,"Aircraft noise Leq 16h daytime, dB(A) above 50",log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Leq 16h,noise,E_environment,level,db,-0.0099,0.0011,,,,,,high,"Aircraft noise Leq 16h daytime, dB(A) above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Leq 16h,noise,E_environment,level,db,-0.0099,0.001,,,,,,high,"Aircraft noise Leq 16h daytime, dB(A) above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Leq 16h,noise,E_environment,level,db,-0.0086,0.0023,,,,,,high,"Aircraft noise Leq 16h daytime, dB(A) above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Age of building,age,A_structural,level,years,-0.0028,,,,,,,medium,SE printed as 0.000 (3-decimal rounding in Model 1) — recorded as null,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Age of building,age,A_structural,level,years,-0.0029,0.0003,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Age of building,age,A_structural,level,years,-0.0026,0.0003,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Age of building,age,A_structural,level,years,-0.003,0.0003,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Age of building,age,A_structural,level,years,-0.003,0.0003,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Age of building,age,A_structural,level,years,-0.0034,0.0003,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Age squared,age,A_structural,squared,years,0.0007,,,,,,,medium,Scaling of the squared term not stated; SE printed as 0.000 (3-decimal rounding in Model 1) — recorded as null,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Age squared,age,A_structural,squared,years,0.0007,0.0002,,,,,,high,Scaling of the squared term not stated,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Age squared,age,A_structural,squared,years,0.0006,0.0002,,,,,,high,Scaling of the squared term not stated,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Age squared,age,A_structural,squared,years,0.0008,0.0002,,,,,,high,Scaling of the squared term not stated,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Age squared,age,A_structural,squared,years,0.0008,0.0002,,,,,,high,Scaling of the squared term not stated,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Age squared,age,A_structural,squared,years,0.001,0.0002,,,,,,high,Scaling of the squared term not stated,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,New,condition,A_structural,dummy,binary,0.1377,0.012,,,,,,high,Condition: new (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,New,condition,A_structural,dummy,binary,0.1373,0.0116,,,,,,high,Condition: new (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,New,condition,A_structural,dummy,binary,0.1358,0.0119,,,,,,high,Condition: new (ref. needs renovation),log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,New,condition,A_structural,dummy,binary,0.1359,0.0116,,,,,,high,Condition: new (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,New,condition,A_structural,dummy,binary,0.1367,0.0116,,,,,,high,Condition: new (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,New,condition,A_structural,dummy,binary,0.1271,0.0117,,,,,,high,Condition: new (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Renovated,renovation,A_structural,dummy,binary,0.1451,0.009,,,,,,high,Condition: renovated (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Renovated,renovation,A_structural,dummy,binary,0.1452,0.0093,,,,,,high,Condition: renovated (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Renovated,renovation,A_structural,dummy,binary,0.1419,0.0096,,,,,,high,Condition: renovated (ref. needs renovation),log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Renovated,renovation,A_structural,dummy,binary,0.1443,0.0093,,,,,,high,Condition: renovated (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Renovated,renovation,A_structural,dummy,binary,0.1448,0.0092,,,,,,high,Condition: renovated (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Renovated,renovation,A_structural,dummy,binary,0.1491,0.0093,,,,,,high,Condition: renovated (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Well maintained,condition,A_structural,dummy,binary,0.1126,0.008,,,,,,high,Condition: well maintained (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Well maintained,condition,A_structural,dummy,binary,0.1125,0.008,,,,,,high,Condition: well maintained (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Well maintained,condition,A_structural,dummy,binary,0.1096,0.0082,,,,,,high,Condition: well maintained (ref. needs renovation),log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Well maintained,condition,A_structural,dummy,binary,0.1119,0.008,,,,,,high,Condition: well maintained (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Well maintained,condition,A_structural,dummy,binary,0.1119,0.008,,,,,,high,Condition: well maintained (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Well maintained,condition,A_structural,dummy,binary,0.1111,0.008,,,,,,high,Condition: well maintained (ref. needs renovation),log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Brick building,roof_materials,A_structural,binary,binary,0.0284,0.009,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Brick building,roof_materials,A_structural,binary,binary,0.029,0.0092,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Brick building,roof_materials,A_structural,binary,binary,0.0298,0.0094,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Brick building,roof_materials,A_structural,binary,binary,0.029,0.0093,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Brick building,roof_materials,A_structural,binary,binary,0.0278,0.0093,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Brick building,roof_materials,A_structural,binary,binary,0.028,0.0093,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Detached,dwelling_type,A_structural,binary,binary,0.0256,0.006,,,,,,high,Detached house,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Detached,dwelling_type,A_structural,binary,binary,0.0264,0.0056,,,,,,high,Detached house,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Detached,dwelling_type,A_structural,binary,binary,0.0253,0.0057,,,,,,high,Detached house,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Detached,dwelling_type,A_structural,binary,binary,0.0277,0.0056,,,,,,high,Detached house,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Detached,dwelling_type,A_structural,binary,binary,0.0271,0.0056,,,,,,high,Detached house,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Detached,dwelling_type,A_structural,binary,binary,0.0267,0.0057,,,,,,high,Detached house,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Cellar,basement,A_structural,binary,binary,0.0476,0.01,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Cellar,basement,A_structural,binary,binary,0.0478,0.0103,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Cellar,basement,A_structural,binary,binary,0.0487,0.0106,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Cellar,basement,A_structural,binary,binary,0.0468,0.0103,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Cellar,basement,A_structural,binary,binary,0.0458,0.0103,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Cellar,basement,A_structural,binary,binary,0.0441,0.0104,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Double glazing,insulation,B_interior,binary,binary,0.0312,0.005,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Double glazing,insulation,B_interior,binary,binary,0.0317,0.0055,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Double glazing,insulation,B_interior,binary,binary,0.0322,0.0056,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Double glazing,insulation,B_interior,binary,binary,0.034,0.0055,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Double glazing,insulation,B_interior,binary,binary,0.0326,0.0055,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Double glazing,insulation,B_interior,binary,binary,0.0291,0.0055,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Floor heating,heating,A_structural,binary,binary,0.0356,0.006,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Floor heating,heating,A_structural,binary,binary,0.0359,0.0064,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Floor heating,heating,A_structural,binary,binary,0.0357,0.0066,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Floor heating,heating,A_structural,binary,binary,0.0333,0.0064,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Floor heating,heating,A_structural,binary,binary,0.0349,0.0064,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Floor heating,heating,A_structural,binary,binary,0.0326,0.0065,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Garage,garage,A_structural,binary,binary,0.0253,0.005,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Garage,garage,A_structural,binary,binary,0.0257,0.0055,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Garage,garage,A_structural,binary,binary,0.0253,0.0056,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Garage,garage,A_structural,binary,binary,0.0254,0.0055,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Garage,garage,A_structural,binary,binary,0.0259,0.0055,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Garage,garage,A_structural,binary,binary,0.0278,0.0056,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Underground garage,garage,A_structural,binary,binary,0.029,0.007,,,,,,high,Underground garage,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Underground garage,garage,A_structural,binary,binary,0.0293,0.0071,,,,,,high,Underground garage,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Underground garage,garage,A_structural,binary,binary,0.0264,0.0072,,,,,,high,Underground garage,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Underground garage,garage,A_structural,binary,binary,0.027,0.0071,,,,,,high,Underground garage,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Underground garage,garage,A_structural,binary,binary,0.0289,0.0072,,,,,,high,Underground garage,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Underground garage,garage,A_structural,binary,binary,0.0287,0.0073,,,,,,high,Underground garage,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Modern kitchen,kitchen_quality,B_interior,binary,binary,0.0589,0.005,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Modern kitchen,kitchen_quality,B_interior,binary,binary,0.0586,0.0052,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Modern kitchen,kitchen_quality,B_interior,binary,binary,0.0592,0.0054,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Modern kitchen,kitchen_quality,B_interior,binary,binary,0.0587,0.0053,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Modern kitchen,kitchen_quality,B_interior,binary,binary,0.0585,0.0052,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Modern kitchen,kitchen_quality,B_interior,binary,binary,0.0634,0.0053,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Swimming pool,pool,C_exterior,binary,binary,0.0637,0.015,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Swimming pool,pool,C_exterior,binary,binary,0.0641,0.0147,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Swimming pool,pool,C_exterior,binary,binary,0.0653,0.0152,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Swimming pool,pool,C_exterior,binary,binary,0.0598,0.0147,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Swimming pool,pool,C_exterior,binary,binary,0.0624,0.0147,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Swimming pool,pool,C_exterior,binary,binary,0.0587,0.0149,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,18,Sauna,recreation_private,C_exterior,binary,binary,0.0396,0.011,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Sauna,recreation_private,C_exterior,binary,binary,0.0396,0.0109,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,18,Sauna,recreation_private,C_exterior,binary,binary,0.0379,0.0113,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Sauna,recreation_private,C_exterior,binary,binary,0.0391,0.0109,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Sauna,recreation_private,C_exterior,binary,binary,0.0378,0.0109,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Sauna,recreation_private,C_exterior,binary,binary,0.0526,0.011,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Log lot size,lot_size,A_structural,log,m2,0.1691,0.006,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Log lot size,lot_size,A_structural,log,m2,0.1692,0.0059,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Log lot size,lot_size,A_structural,log,m2,0.1646,0.006,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Log lot size,lot_size,A_structural,log,m2,0.17,0.0059,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Log lot size,lot_size,A_structural,log,m2,0.1693,0.006,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Log lot size,lot_size,A_structural,log,m2,0.1786,0.0059,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Log size,living_area,A_structural,log,m3,0.4163,0.011,,,,,,high,Log of building volume in m3 (not floor area),log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Log size,living_area,A_structural,log,m3,0.4155,0.0111,,,,,,high,Log of building volume in m3 (not floor area),log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Log size,living_area,A_structural,log,m3,0.4206,0.0113,,,,,,high,Log of building volume in m3 (not floor area),log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,22,Log size,living_area,A_structural,log,m3,0.4165,0.0111,,,,,,high,Log of building volume in m3 (not floor area),log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,22,Log size,living_area,A_structural,log,m3,0.4158,0.0112,,,,,,high,Log of building volume in m3 (not floor area),log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,22,Log size,living_area,A_structural,log,m3,0.4223,0.0113,,,,,,high,Log of building volume in m3 (not floor area),log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Log rooms,bedrooms,A_structural,log,count,0.1243,0.013,,,,,,high,Number of rooms (all rooms),log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Log rooms,bedrooms,A_structural,log,count,0.1246,0.013,,,,,,high,Number of rooms (all rooms),log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Log rooms,bedrooms,A_structural,log,count,0.1223,0.0134,,,,,,high,Number of rooms (all rooms),log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Log rooms,bedrooms,A_structural,log,count,0.1199,0.013,,,,,,high,Number of rooms (all rooms),log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Log rooms,bedrooms,A_structural,log,count,0.1207,0.013,,,,,,high,Number of rooms (all rooms),log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,23,Log rooms,bedrooms,A_structural,log,count,0.1246,0.0131,,,,,,high,Number of rooms (all rooms),log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Log bathrooms,bathrooms,A_structural,log,count,0.1005,0.008,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Log bathrooms,bathrooms,A_structural,log,count,0.0998,0.0078,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Log bathrooms,bathrooms,A_structural,log,count,0.1018,0.008,,,,,,high,,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Log bathrooms,bathrooms,A_structural,log,count,0.096,0.0077,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Log bathrooms,bathrooms,A_structural,log,count,0.0969,0.0077,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c3,6,3,23,Log bathrooms,bathrooms,A_structural,log,count,0.0969,0.0078,,,,,,high,,log house price (CHF),log,spatial_error,3737.0,,se,"Model 6, 'No GIS': location variables replaced by community dummies; rho 0.1453"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Share Swiss residents,demographics,F_neighbourhood,level,share,0.0149,0.006,,,,,,high,Share of Swiss residents within 300 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Share Swiss residents,demographics,F_neighbourhood,level,share,0.0157,0.0064,,,,,,high,Share of Swiss residents within 300 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Share Swiss residents,demographics,F_neighbourhood,level,share,0.0159,0.0063,,,,,,high,Share of Swiss residents within 300 m,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Share Swiss residents,demographics,F_neighbourhood,level,share,0.016,0.0064,,,,,,high,Share of Swiss residents within 300 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Share Swiss residents,demographics,F_neighbourhood,level,share,0.0169,0.0066,,,,,,high,Share of Swiss residents within 300 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Road traffic noise,noise,E_environment,level,db,-0.005,0.001,,,,,,high,"Road traffic noise Lr 16h, dB above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Road traffic noise,noise,E_environment,level,db,-0.0051,0.0009,,,,,,high,"Road traffic noise Lr 16h, dB above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Road traffic noise,noise,E_environment,level,db,-0.0053,0.0009,,,,,,high,"Road traffic noise Lr 16h, dB above 50",log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Road traffic noise,noise,E_environment,level,db,-0.0053,0.0009,,,,,,high,"Road traffic noise Lr 16h, dB above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Road traffic noise,noise,E_environment,level,db,-0.0054,0.0009,,,,,,high,"Road traffic noise Lr 16h, dB above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Log travel dist. to CBD,cbd_distance,D_location,log,minutes,-0.231,0.015,,,,,,high,Car travel time to Zurich main station,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Log travel dist. to CBD,cbd_distance,D_location,log,minutes,-0.2354,0.0151,,,,,,high,Car travel time to Zurich main station,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Log travel dist. to CBD,cbd_distance,D_location,log,minutes,-0.229,0.0133,,,,,,high,Car travel time to Zurich main station,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Log travel dist. to CBD,cbd_distance,D_location,log,minutes,-0.2335,0.0162,,,,,,high,Car travel time to Zurich main station,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Log travel dist. to CBD,cbd_distance,D_location,log,minutes,-0.2307,0.0159,,,,,,high,Car travel time to Zurich main station,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Low density (< 40%),density,F_neighbourhood,dummy,binary,-0.0034,0.006,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Low density (< 40%),density,F_neighbourhood,dummy,binary,-0.004,0.0059,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Low density (< 40%),density,F_neighbourhood,dummy,binary,-0.0044,0.0056,,,,,,high,Maximum allowed built density category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Low density (< 40%),density,F_neighbourhood,dummy,binary,-0.0077,0.0059,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Low density (< 40%),density,F_neighbourhood,dummy,binary,-0.0045,0.006,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Middle density (40–50%),density,F_neighbourhood,dummy,binary,-0.0024,0.007,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Middle density (40–50%),density,F_neighbourhood,dummy,binary,-0.0029,0.0068,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Middle density (40–50%),density,F_neighbourhood,dummy,binary,-0.0034,0.0065,,,,,,high,Maximum allowed built density category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Middle density (40–50%),density,F_neighbourhood,dummy,binary,-0.0065,0.0068,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Middle density (40–50%),density,F_neighbourhood,dummy,binary,-0.0027,0.0069,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Higher density (> 50%),density,F_neighbourhood,dummy,binary,-0.0117,0.007,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Higher density (> 50%),density,F_neighbourhood,dummy,binary,-0.0126,0.0072,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Higher density (> 50%),density,F_neighbourhood,dummy,binary,-0.0132,0.007,,,,,,high,Maximum allowed built density category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Higher density (> 50%),density,F_neighbourhood,dummy,binary,-0.0145,0.0072,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Higher density (> 50%),density,F_neighbourhood,dummy,binary,-0.012,0.0073,,,,,,high,Maximum allowed built density category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Lake view > 0–20 km2,view,E_environment,dummy,binary,0.0552,0.007,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Lake view > 0–20 km2,view,E_environment,dummy,binary,0.0514,0.0066,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Lake view > 0–20 km2,view,E_environment,dummy,binary,0.0563,0.0059,,,,,,high,Lake view area category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Lake view > 0–20 km2,view,E_environment,dummy,binary,0.0545,0.0067,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Lake view > 0–20 km2,view,E_environment,dummy,binary,0.0557,0.0067,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Lake view 20–40 km2,view,E_environment,dummy,binary,0.139,0.012,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Lake view 20–40 km2,view,E_environment,dummy,binary,0.1346,0.0118,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Lake view 20–40 km2,view,E_environment,dummy,binary,0.1411,0.0107,,,,,,high,Lake view area category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Lake view 20–40 km2,view,E_environment,dummy,binary,0.1318,0.0123,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Lake view 20–40 km2,view,E_environment,dummy,binary,0.1357,0.0122,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Lake view > 40 km2,view,E_environment,dummy,binary,0.1121,0.014,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Lake view > 40 km2,view,E_environment,dummy,binary,0.1074,0.0138,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Lake view > 40 km2,view,E_environment,dummy,binary,0.1103,0.012,,,,,,high,Lake view area category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Lake view > 40 km2,view,E_environment,dummy,binary,0.108,0.0146,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Lake view > 40 km2,view,E_environment,dummy,binary,0.1119,0.0144,,,,,,high,Lake view area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,View 50–100 km2,view,E_environment,dummy,binary,0.0359,0.009,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,View 50–100 km2,view,E_environment,dummy,binary,0.0357,0.0091,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,View 50–100 km2,view,E_environment,dummy,binary,0.0406,0.0084,,,,,,high,View on Alps area category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,View 50–100 km2,view,E_environment,dummy,binary,0.0319,0.0092,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,View 50–100 km2,view,E_environment,dummy,binary,0.0344,0.0093,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,View 100–250 km2,view,E_environment,dummy,binary,0.0236,0.008,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,View 100–250 km2,view,E_environment,dummy,binary,0.0244,0.0078,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,View 100–250 km2,view,E_environment,dummy,binary,0.027,0.0071,,,,,,high,View on Alps area category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,View 100–250 km2,view,E_environment,dummy,binary,0.0213,0.0081,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,View 100–250 km2,view,E_environment,dummy,binary,0.0216,0.008,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,View > 250 km2,view,E_environment,dummy,binary,0.0163,0.009,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,View > 250 km2,view,E_environment,dummy,binary,0.0183,0.009,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,View > 250 km2,view,E_environment,dummy,binary,0.0159,0.0081,,,,,,high,View on Alps area category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,View > 250 km2,view,E_environment,dummy,binary,0.0135,0.0093,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,View > 250 km2,view,E_environment,dummy,binary,0.0137,0.0092,,,,,,high,View on Alps area category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Slope 0–9%,other,other,dummy,binary,0.0194,0.006,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Slope 0–9%,other,other,dummy,binary,0.0191,0.0061,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Slope 0–9%,other,other,dummy,binary,0.0191,0.006,,,,,,high,Terrain slope category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Slope 0–9%,other,other,dummy,binary,0.0171,0.006,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Slope 0–9%,other,other,dummy,binary,0.0177,0.0061,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Slope > 9%,other,other,dummy,binary,0.0357,0.008,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Slope > 9%,other,other,dummy,binary,0.036,0.008,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Slope > 9%,other,other,dummy,binary,0.0353,0.0076,,,,,,high,Terrain slope category,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Slope > 9%,other,other,dummy,binary,0.0357,0.008,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Slope > 9%,other,other,dummy,binary,0.0345,0.0081,,,,,,high,Terrain slope category,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Near power line,hazard_site,E_environment,binary,binary,-0.0103,0.015,,,,,,high,Power line within 200 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Near power line,hazard_site,E_environment,binary,binary,-0.0133,0.015,,,,,,high,Power line within 200 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Near power line,hazard_site,E_environment,binary,binary,-0.0118,0.014,,,,,,high,Power line within 200 m,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Near power line,hazard_site,E_environment,binary,binary,-0.009,0.0151,,,,,,high,Power line within 200 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Near power line,hazard_site,E_environment,binary,binary,-0.0064,0.0154,,,,,,high,Power line within 200 m,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Near railway,transit_distance,D_location,binary,binary,-0.0243,0.008,,,,,,high,"Railway line within 100 m (nuisance proximity, not station access)",log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Near railway,transit_distance,D_location,binary,binary,-0.0237,0.0082,,,,,,high,"Railway line within 100 m (nuisance proximity, not station access)",log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Near railway,transit_distance,D_location,binary,binary,-0.0247,0.0078,,,,,,high,"Railway line within 100 m (nuisance proximity, not station access)",log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Near railway,transit_distance,D_location,binary,binary,-0.0244,0.008,,,,,,high,"Railway line within 100 m (nuisance proximity, not station access)",log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Near railway,transit_distance,D_location,binary,binary,-0.0228,0.0083,,,,,,high,"Railway line within 100 m (nuisance proximity, not station access)",log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Aspect: East,sunlight,E_environment,dummy,binary,-0.0032,0.007,,,,,,high,Orientation east (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Aspect: East,sunlight,E_environment,dummy,binary,-0.0034,0.0068,,,,,,high,Orientation east (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Aspect: East,sunlight,E_environment,dummy,binary,-0.0002,0.0064,,,,,,high,Orientation east (slope > 1%),log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Aspect: East,sunlight,E_environment,dummy,binary,-0.0032,0.0068,,,,,,high,Orientation east (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Aspect: East,sunlight,E_environment,dummy,binary,-0.0031,0.0069,,,,,,high,Orientation east (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Aspect: West,sunlight,E_environment,dummy,binary,0.0102,0.006,,,,,,high,Orientation west (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Aspect: West,sunlight,E_environment,dummy,binary,0.0093,0.0063,,,,,,high,Orientation west (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Aspect: West,sunlight,E_environment,dummy,binary,0.0139,0.006,,,,,,high,Orientation west (slope > 1%),log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Aspect: West,sunlight,E_environment,dummy,binary,0.0093,0.0063,,,,,,high,Orientation west (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Aspect: West,sunlight,E_environment,dummy,binary,0.0106,0.0065,,,,,,high,Orientation west (slope > 1%),log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c1,5,1,19,Log tax revenue,public_services,F_neighbourhood,log,index,0.1559,0.01,,,,,,high,Communal per-capita tax revenue index,log house price (CHF),log,spatial_error,3737.0,,se,"Model 1, ML SAR error, W cut-off 300 m; rho 0.1852; residual SE 0.1279"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,19,Log tax revenue,public_services,F_neighbourhood,log,index,0.1568,0.0099,,,,,,high,Communal per-capita tax revenue index,log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c3,5,3,19,Log tax revenue,public_services,F_neighbourhood,log,index,0.1549,0.0089,,,,,,high,Communal per-capita tax revenue index,log house price (CHF),log,OLS,3737.0,,se,"Model 3, OLS non-spatial; residual SE 0.1309"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c1,6,1,23,Log tax revenue,public_services,F_neighbourhood,log,index,0.1588,0.0107,,,,,,high,Communal per-capita tax revenue index,log house price (CHF),log,spatial_error,3737.0,,se,"Model 4, ML SAR error, W cut-off 600 m; rho 0.2579"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T6-c2,6,2,23,Log tax revenue,public_services,F_neighbourhood,log,index,0.1599,0.0105,,,,,,high,Communal per-capita tax revenue index,log house price (CHF),log,spatial_error,3737.0,,se,"Model 5, ML SAR error, 4 nearest neighbours; rho 0.2233"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Leq Evening,noise,E_environment,level,db,-0.0064,0.0019,,,,,,high,"Aircraft noise Leq evening (21-23h), dB(A) above 50",log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317,7670a6d2dc2183fc23719395205238727f178317:T5-c2,5,2,18,Leq 1h Peak,noise,E_environment,level,db,-0.0063,0.0023,,,,,,high,"Highest daytime 1-hour Leq in excess of Leq 16h, dB(A)",log house price (CHF),log,spatial_error,3737.0,,se,"Model 2, ML SAR error with three noise metrics; rho 0.1853; residual SE 0.1275"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T3-c1,3,1,16,Distance from the waterfront (Dl),water_proximity,E_environment,other,km (walking distance to Araldo di Crollalanza waterfront),-3.56,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: negative); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8673,none,"OMI central area of Bari (200 sales 2017-2019); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T3-c1,3,1,16,Maintenance conditions (Sc),condition,A_structural,other,ordinal 1/3/5 (to be restructured / fit for habitation / restructured),20.22,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8673,none,"OMI central area of Bari (200 sales 2017-2019); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T3-c1,3,1,16,Sound level in the street where the property is located (Ld),noise,E_environment,other,ordinal rating 1-7 of dB(A) classes (<=40 to 70-75 dB(A)),-3.31,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: negative); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8673,none,"OMI central area of Bari (200 sales 2017-2019); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T3-c1,3,1,16,Lift (A),accessibility,B_interior,other,binary,30.95,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8673,none,"OMI central area of Bari (200 sales 2017-2019); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T3-c1,3,1,16,Distance from the nearest railway station (Ds),transit_distance,D_location,other,km (walking),-3.01,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: negative); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8673,none,"OMI central area of Bari (200 sales 2017-2019); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T3-c1,3,1,16,Floor level (L),floor_level,A_structural,other,count,2.67,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8673,none,"OMI central area of Bari (200 sales 2017-2019); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T3-c1,3,1,16,Size (S),living_area,A_structural,other,m2 (gross floor area),22.8,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8673,none,"OMI central area of Bari (200 sales 2017-2019); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Maintenance conditions (Sc),condition,A_structural,other,ordinal 1/3/5 (to be restructured / fit for habitation / restructured),19.49,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Distance from the waterfront (Dl),water_proximity,E_environment,other,km (walking distance to Araldo di Crollalanza waterfront),0.63,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Distance from the nearest railway station (Ds),transit_distance,D_location,other,km (walking),2.48,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Perceived environmental quality level (Qn),other,other,other,ordinal score 1-5 (survey of residents),0.52,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Presence of parking (P),parking,A_structural,other,binary,4.3,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Maintenance conditions of the building facades adjacent to the property (Sf),other,other,other,ordinal 1/3/5,9.01,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Distance from the nearest public green space (Dv),green_space,E_environment,other,km (walking),-1.14,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: negative); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Sound level in the street where the property is located (Ld),noise,E_environment,other,ordinal rating 1-7 of dB(A) classes (<=40 to 70-75 dB(A)),-3.46,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: negative); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Floor level (L),floor_level,A_structural,other,count,0.77,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: parabolic); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Bathroom number (B),bathrooms,A_structural,other,count,0.09,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Lift (A),accessibility,B_interior,other,binary,8.85,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Road private and public vehicular traffic level (T),other,other,other,ordinal 1 (high traffic) / 3 / 5 (low traffic),3.08,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Size (S),living_area,A_structural,other,m2 (gross floor area),19.91,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T4-c1,4,1,16,Distance from the nearest highway (Dt),highway_distance,D_location,other,km (by car),-1.77,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: negative); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8315,none,"OMI semi-central area (200 sales); EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,16,Distance from the nearest public green space (Dv),green_space,E_environment,other,km (walking),3.73,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,16,Distance from the nearest railway station (Ds),transit_distance,D_location,other,km (walking),7.11,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,16,Perceived environmental quality level (Qn),other,other,other,ordinal score 1-5 (survey of residents),4.73,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Maintenance conditions (Sc),condition,A_structural,other,ordinal 1/3/5 (to be restructured / fit for habitation / restructured),8.69,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Maintenance conditions of the public spaces adjacent to the property (Sa),other,other,other,ordinal 1/3/5,11.26,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Presence of parking (P),parking,A_structural,other,binary,3.59,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Lift (A),accessibility,B_interior,other,binary,16.72,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Floor level (L),floor_level,A_structural,other,count,1.38,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Maintenance conditions of the building facades adjacent to the property (Sf),other,other,other,ordinal 1/3/5,2.52,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Distance from the nearest highway (Dt),highway_distance,D_location,other,km (by car),-2.85,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: parabolic); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Sound level in the street where the property is located (Ld),noise,E_environment,other,ordinal rating 1-7 of dB(A) classes (<=40 to 70-75 dB(A)),-2.47,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: negative); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T5-c1,5,1,17,Size (S),living_area,A_structural,other,m2 (gross floor area),21.57,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8314,none,"OMI peripheral area (200 sales); table continues p.17; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T6-c1,6,1,17,Distance from the waterfront (Dl),water_proximity,E_environment,other,km (walking distance to Araldo di Crollalanza waterfront),5.52,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8171,none,"OMI suburban area (200 sales); noise variable not selected by the model; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T6-c1,6,1,17,Distance from the nearest public green space (Dv),green_space,E_environment,other,km (walking),1.2,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8171,none,"OMI suburban area (200 sales); noise variable not selected by the model; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T6-c1,6,1,17,Maintenance conditions (Sc),condition,A_structural,other,ordinal 1/3/5 (to be restructured / fit for habitation / restructured),17.74,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8171,none,"OMI suburban area (200 sales); noise variable not selected by the model; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T6-c1,6,1,17,Lift (A),accessibility,B_interior,other,binary,17.73,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8171,none,"OMI suburban area (200 sales); noise variable not selected by the model; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d,78349a30196c9ee010a5b6087b25ddd2eb8a9b3d:T6-c1,6,1,17,Size (S),living_area,A_structural,other,m2 (gross floor area),0.88,,,,,,,medium,"Value is the average percentage variation (%) of the total selling price for a one-level/one-unit passage of the variable, derived from the EPR-MOGA polynomial (functional correlation: direct); not a regression coefficient, no SE",ln(Pr): natural log of total selling price (euro),log,ML_marginal,200.0,0.8171,none,"OMI suburban area (200 sales); noise variable not selected by the model; EPR-MOGA evolutionary polynomial regression (Table 2 p.15 gives the fitted polynomial); table reports the average percentage variation of the total selling price for a one-level increase of each selected variable, other variables at sample means"
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Padua,6,Padua,7,Zone (OMI),cbd_distance,D_location,other,"ordinal (1=centre, 2=semi-central, 3=suburbs)",-0.244,,,0.001,,,,high,OMI macro-area ordinal code; higher = farther from centre; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.519,p,Padua; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Padua,6,Padua,7,Proximity to local transport infrastructure,transit_distance,D_location,other,"ordinal (1=<=200 m, 2=201-500 m, 3=>500 m)",-0.115,,,0.001,,,,high,Ordinal distance class to local public transport; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.519,p,Padua; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Padua,6,Padua,7,Energy class (EPC),energy_efficiency,A_structural,other,ordinal (1=A4 ... 12=G),-0.049,,,0.001,,,,high,EPC class ordinal code; higher = less efficient; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.519,p,Padua; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Padua,6,Padua,7,Gross floor area,living_area,A_structural,level,m2,-0.001,,,0.001,,,,high,Gross floor area in sqm; dependent variable is price per sqm; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.519,p,Padua; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Padua,6,Padua,7,Maintenance status,condition,A_structural,other,ordinal (1=new ... 4=very bad),-0.114,,,0.001,,,,high,Maintenance status ordinal code; higher = worse condition; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.519,p,Padua; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Mestre,6,Mestre,7,Proximity to local transport infrastructure,transit_distance,D_location,other,"ordinal (1=<=200 m, 2=201-500 m, 3=>500 m)",-0.032,,,0.034,,,,high,Ordinal distance class to local public transport,ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.522,p,Mestre; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Mestre,6,Mestre,7,Energy class (EPC),energy_efficiency,A_structural,other,ordinal (1=A4 ... 12=G),-0.039,,,0.001,,,,high,EPC class ordinal code; higher = less efficient; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.522,p,Mestre; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Mestre,6,Mestre,7,No. of bathrooms,bathrooms,A_structural,level,count,0.161,,,0.001,,,,high,Number of bathrooms; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.522,p,Mestre; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Mestre,6,Mestre,7,Gross floor area,living_area,A_structural,level,m2,-0.003,,,0.001,,,,high,Gross floor area in sqm; dependent variable is price per sqm; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.522,p,Mestre; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Mestre,6,Mestre,7,Maintenance status,condition,A_structural,other,ordinal (1=new ... 4=very bad),-0.097,,,0.001,,,,high,Maintenance status ordinal code; higher = worse condition; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.522,p,Mestre; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Bergamo,6,Bergamo,7,Zone (OMI),cbd_distance,D_location,other,"ordinal (1=centre, 2=semi-central, 3=suburbs)",-0.061,,,0.002,,,,high,OMI macro-area ordinal code; higher = farther from centre,ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.359,p,Bergamo; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Bergamo,6,Bergamo,7,Energy class (EPC),energy_efficiency,A_structural,other,ordinal (1=A4 ... 12=G),-0.043,,,0.001,,,,high,EPC class ordinal code; higher = less efficient; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.359,p,Bergamo; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Bergamo,6,Bergamo,7,No. of bathrooms,bathrooms,A_structural,level,count,0.275,,,0.001,,,,high,Number of bathrooms; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.359,p,Bergamo; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Bergamo,6,Bergamo,7,Gross floor area,living_area,A_structural,level,m2,-0.002,,,0.001,,,,high,Gross floor area in sqm; dependent variable is price per sqm; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.359,p,Bergamo; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T6-Bergamo,6,Bergamo,7,Maintenance status,condition,A_structural,other,ordinal (1=new ... 4=very bad),-0.066,,,0.024,,,,high,Maintenance status ordinal code; higher = worse condition,ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.359,p,Bergamo; EPC as ordinal variable
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Padua,7,Padua,8,Zone (OMI),cbd_distance,D_location,other,"ordinal (1=centre, 2=semi-central, 3=suburbs)",-0.235,,,0.001,,,,high,OMI macro-area ordinal code; higher = farther from centre; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.509,p,"Padua; EPC as two dummies (A-B, C-D vs E-G)"
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Padua,7,Padua,8,Proximity to local transport infrastructure,transit_distance,D_location,other,"ordinal (1=<=200 m, 2=201-500 m, 3=>500 m)",-0.119,,,0.001,,,,high,Ordinal distance class to local public transport; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.509,p,"Padua; EPC as two dummies (A-B, C-D vs E-G)"
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Padua,7,Padua,8,High energy efficiency (Classes A and B),energy_efficiency,A_structural,dummy,binary,0.316,,,0.001,,,,high,"Dummy for EPC classes A and B; base = classes E, F, G; p-value printed as <0.001 (recorded as 0.001 upper bound)",ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.509,p,"Padua; EPC as two dummies (A-B, C-D vs E-G)"
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Padua,7,Padua,8,Medium energy efficiency (Classes C and D),energy_efficiency,A_structural,dummy,binary,0.179,,,0.001,,,,high,"Dummy for EPC classes C and D; base = classes E, F, G; p-value printed as <0.001 (recorded as 0.001 upper bound)",ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.509,p,"Padua; EPC as two dummies (A-B, C-D vs E-G)"
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Padua,7,Padua,8,Gross floor area,living_area,A_structural,level,m2,-0.001,,,0.001,,,,high,Gross floor area in sqm; dependent variable is price per sqm; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.509,p,"Padua; EPC as two dummies (A-B, C-D vs E-G)"
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Padua,7,Padua,8,Maintenance status,condition,A_structural,other,ordinal (1=new ... 4=very bad),-0.131,,,0.001,,,,high,Maintenance status ordinal code; higher = worse condition; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,354.0,0.509,p,"Padua; EPC as two dummies (A-B, C-D vs E-G)"
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Mestre,7,Mestre,8,High energy efficiency (Classes A and B),energy_efficiency,A_structural,dummy,binary,0.317,,,0.001,,,,high,"Dummy for EPC classes A and B; base = classes E, F, G; p-value printed as <0.001 (recorded as 0.001 upper bound)",ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.513,p,Mestre; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Mestre,7,Mestre,8,Medium energy efficiency (Classes C and D),energy_efficiency,A_structural,dummy,binary,0.179,,,0.001,,,,high,"Dummy for EPC classes C and D; base = classes E, F, G; p-value printed as <0.001 (recorded as 0.001 upper bound)",ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.513,p,Mestre; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Mestre,7,Mestre,8,Number of bathrooms,bathrooms,A_structural,level,count,0.172,,,0.001,,,,high,Number of bathrooms; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.513,p,Mestre; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Mestre,7,Mestre,8,Gross floor area,living_area,A_structural,level,m2,-0.003,,,0.001,,,,high,Gross floor area in sqm; dependent variable is price per sqm; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.513,p,Mestre; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Mestre,7,Mestre,8,Maintenance status,condition,A_structural,other,ordinal (1=new ... 4=very bad),-0.103,,,0.001,,,,high,Maintenance status ordinal code; higher = worse condition; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,254.0,0.513,p,Mestre; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Bergamo,7,Bergamo,8,Zone (OMI),cbd_distance,D_location,other,"ordinal (1=centre, 2=semi-central, 3=suburbs)",-0.061,,,0.002,,,,high,OMI macro-area ordinal code; higher = farther from centre,ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.349,p,Bergamo; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Bergamo,7,Bergamo,8,High energy efficiency (Classes A and B),energy_efficiency,A_structural,dummy,binary,0.231,,,0.001,,,,high,"Dummy for EPC classes A and B; base = classes E, F, G; p-value printed as <0.001 (recorded as 0.001 upper bound)",ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.349,p,Bergamo; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Bergamo,7,Bergamo,8,Medium energy efficiency (Classes C and D),energy_efficiency,A_structural,dummy,binary,0.111,,,0.024,,,,high,"Dummy for EPC classes C and D; base = classes E, F, G",ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.349,p,Bergamo; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Bergamo,7,Bergamo,8,Number of bathrooms,bathrooms,A_structural,level,count,0.286,,,0.001,,,,high,Number of bathrooms; p-value printed as <0.001 (recorded as 0.001 upper bound),ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.349,p,Bergamo; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Bergamo,7,Bergamo,8,Gross floor area,living_area,A_structural,level,m2,-0.002,,,0.002,,,,high,Gross floor area in sqm; dependent variable is price per sqm,ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.349,p,Bergamo; EPC as two dummies
784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192,784bd147866d1ec15bbfa3c42d3c2fc6a9ac3192:T7-Bergamo,7,Bergamo,8,Maintenance status,condition,A_structural,other,ordinal (1=new ... 4=very bad),-0.082,,,0.006,,,,high,Maintenance status ordinal code; higher = worse condition,ln ask price per sqm (EUR/sqm),per_m2,OLS,293.0,0.349,p,Bergamo; EPC as two dummies
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,CBD,cbd_distance,D_location,level,m,-6.57e-05,,,0.0,,,,high,"distance in metres to CBD (Central MTR station); p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,CBD,cbd_distance,D_location,level,m,-5.98e-05,,,0.0,,,,high,"distance in metres to CBD (Central MTR station); p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,CBD,cbd_distance,D_location,level,m,-5.8e-05,,,0.0,,,,high,"distance in metres to CBD (Central MTR station); p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,CBD,cbd_distance,D_location,level,m,-5.96e-05,,,0.0,,,,high,"distance in metres to CBD (Central MTR station); p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,CBD,cbd_distance,D_location,level,m,-5.78e-05,,,0.0,,,,high,"distance in metres to CBD (Central MTR station); p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Age,age,A_structural,level,years,-0.0305,,,0.0,,,,high,"building age in years; with Age2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Age,age,A_structural,level,years,-0.0307,,,0.0,,,,high,"building age in years; with Age2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Age,age,A_structural,level,years,-0.0307,,,0.0,,,,high,"building age in years; with Age2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Age,age,A_structural,level,years,-0.0306,,,0.0,,,,high,"building age in years; with Age2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Age,age,A_structural,level,years,-0.0306,,,0.0,,,,high,"building age in years; with Age2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Age2,age,A_structural,squared,years,0.0003,,,0.0,,,,high,"building age squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Age2,age,A_structural,squared,years,0.0003,,,0.0,,,,high,"building age squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Age2,age,A_structural,squared,years,0.0003,,,0.0,,,,high,"building age squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Age2,age,A_structural,squared,years,0.0003,,,0.0,,,,high,"building age squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Age2,age,A_structural,squared,years,0.0003,,,0.0,,,,high,"building age squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Area,living_area,A_structural,level,sqft,0.0027,,,0.0,,,,high,"unit size in square feet; with Area2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Area,living_area,A_structural,level,sqft,0.0027,,,0.0,,,,high,"unit size in square feet; with Area2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Area,living_area,A_structural,level,sqft,0.0027,,,0.0,,,,high,"unit size in square feet; with Area2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Area,living_area,A_structural,level,sqft,0.0027,,,0.0,,,,high,"unit size in square feet; with Area2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Area,living_area,A_structural,level,sqft,0.0027,,,0.0,,,,high,"unit size in square feet; with Area2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Area2,living_area,A_structural,squared,sqft,-4.88e-07,,,0.0,,,,high,"size squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Area2,living_area,A_structural,squared,sqft,-4.85e-07,,,0.0,,,,high,"size squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Area2,living_area,A_structural,squared,sqft,-4.86e-07,,,0.0,,,,high,"size squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Area2,living_area,A_structural,squared,sqft,-4.86e-07,,,0.0,,,,high,"size squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Area2,living_area,A_structural,squared,sqft,-4.86e-07,,,0.0,,,,high,"size squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Floor,floor_level,A_structural,level,count,0.0066,,,0.0,,,,high,"floor level (storey); with Floor2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Floor,floor_level,A_structural,level,count,0.0069,,,0.0,,,,high,"floor level (storey); with Floor2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Floor,floor_level,A_structural,level,count,0.0068,,,0.0,,,,high,"floor level (storey); with Floor2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Floor,floor_level,A_structural,level,count,0.007,,,0.0,,,,high,"floor level (storey); with Floor2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Floor,floor_level,A_structural,level,count,0.0069,,,0.0,,,,high,"floor level (storey); with Floor2; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Floor2,floor_level,A_structural,squared,count,4.49e-06,,,0.0,,,,high,"floor level squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Floor2,floor_level,A_structural,squared,count,1.67e-06,,,0.0,,,,high,"floor level squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Floor2,floor_level,A_structural,squared,count,6.2e-06,,,0.0,,,,high,"floor level squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Floor2,floor_level,A_structural,squared,count,3.05e-06,,,0.0,,,,high,"floor level squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Floor2,floor_level,A_structural,squared,count,3.02e-06,,,0.0,,,,high,"floor level squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Scale of Dev.,other,other,level,count,0.0014,,,0.0,,,,high,"scale of development = number of housing units in the building; with squared term; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Scale of Dev.,other,other,level,count,0.0014,,,0.0,,,,high,"scale of development = number of housing units in the building; with squared term; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Scale of Dev.,other,other,level,count,0.0014,,,0.0,,,,high,"scale of development = number of housing units in the building; with squared term; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Scale of Dev.,other,other,level,count,0.0014,,,0.0,,,,high,"scale of development = number of housing units in the building; with squared term; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Scale of Dev.,other,other,level,count,0.0014,,,0.0,,,,high,"scale of development = number of housing units in the building; with squared term; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c1,3,Equation (2),13,Scale of Dev.2,other,other,squared,count,-1.59e-06,,,0.0,,,,high,"scale of development squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,OLS,167418.0,0.896331,p,"OLS hedonic with S*N contextual interactions, 17 submarket dummies, monthly time dummies"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c2,3,Equation (3),13,Scale of Dev.2,other,other,squared,count,-1.59e-06,,,0.0,,,,high,"scale of development squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896594,p,"adds lagged-price spatial autoregressive terms WVP (vertical) and WHP (horizontal), OLS-estimated"
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c3,3,Equation (7),13,Scale of Dev.2,other,other,squared,count,-1.6e-06,,,0.0,,,,high,"scale of development squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896662,p,spatial lags interacted with liquidity L
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c4,3,Equation (8),13,Scale of Dev.2,other,other,squared,count,-1.59e-06,,,0.0,,,,high,"scale of development squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896638,p,spatial lags interacted with volatility V
78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde,78763be000cac6c28c0629b4c2e5fffb2f7f7fde:T3-c5,3,Equation (9),13,Scale of Dev.2,other,other,squared,count,-1.6e-06,,,0.0,,,,high,"scale of development squared; p-value printed as (0.0000); no SE/t; neighbourhood (N), time (T) and S*N interaction coefficients not reported",log of transaction price (HKD),log,spatial_lag,167418.0,0.896711,p,spatial lags interacted with both L and V
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,sizeland,lot_size,A_structural,level,ha,5.3e-05,,,0.01,,,,high,Land area in hectares; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,sizeland,lot_size,A_structural,level,ha,4.8e-05,,,0.01,,,,high,Land area in hectares; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,sizehouse,living_area,A_structural,level,m2,0.002684,,,0.01,,,,high,Building size in m2; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,sizehouse,living_area,A_structural,level,m2,0.002859,,,0.01,,,,high,Building size in m2; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,bathrooms,bathrooms,A_structural,level,count,0.051512,,,0.01,,,,high,<0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,bathrooms,bathrooms,A_structural,level,count,0.055278,,,0.01,,,,high,<0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,age,age,A_structural,level,years,-0.010605,,,0.01,,,,high,<0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,age,age,A_structural,level,years,-0.010174,,,0.01,,,,high,<0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,agesquared,age,A_structural,squared,years,3.8e-05,,,0.01,,,,high,Age squared; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,agesquared,age,A_structural,squared,years,3.6e-05,,,0.01,,,,high,Age squared; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,garage,garage,A_structural,level,count,0.027471,,,0.01,,,,high,"Basement garage capacity, number of cars; <0.01 printed; recorded as 0.01 upper bound",ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,garage,garage,A_structural,level,count,0.017696,,,0.01,,,,high,"Basement garage capacity, number of cars; <0.01 printed; recorded as 0.01 upper bound",ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,condvpoor,condition,A_structural,dummy,binary,-0.923445,,,0.01,,,,high,Condition very poor (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,condvpoor,condition,A_structural,dummy,binary,-1.072054,,,0.01,,,,high,Condition very poor (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,condpoor,condition,A_structural,dummy,binary,-0.49363,,,0.01,,,,high,Condition poor (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,condpoor,condition,A_structural,dummy,binary,-0.514455,,,0.01,,,,high,Condition poor (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,condfair,condition,A_structural,dummy,binary,-0.219315,,,0.01,,,,high,Condition fair (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,condfair,condition,A_structural,dummy,binary,-0.211597,,,0.01,,,,high,Condition fair (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,condgood,condition,A_structural,dummy,binary,0.135936,,,0.01,,,,high,Condition good (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,condgood,condition,A_structural,dummy,binary,0.124734,,,0.01,,,,high,Condition good (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,condvgood,condition,A_structural,dummy,binary,0.29111,,,0.01,,,,high,Condition very good (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,condvgood,condition,A_structural,dummy,binary,0.262003,,,0.01,,,,high,Condition very good (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,condexcellent,condition,A_structural,dummy,binary,0.441086,,,0.01,,,,high,Condition excellent (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,condexcellent,condition,A_structural,dummy,binary,0.465527,,,0.01,,,,high,Condition excellent (reference: average); <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,poverty,income,F_neighbourhood,level,share (percent of tract population below poverty line),-0.001252,,,0.01,,,,high,"Census tract poverty rate in percent (proxy for neighbourhood income, inverse); <0.01 printed; recorded as 0.01 upper bound",ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,poverty,income,F_neighbourhood,level,share (percent of tract population below poverty line),-0.00114,,,0.01,,,,high,"Census tract poverty rate in percent (proxy for neighbourhood income, inverse); <0.01 printed; recorded as 0.01 upper bound",ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,bachelor,education_level,F_neighbourhood,level,share (percent with bachelor degree),0.011986,,,0.01,,,,high,Percent of tract population with a bachelor's degree; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,bachelor,education_level,F_neighbourhood,level,share (percent with bachelor degree),0.011502,,,0.01,,,,high,Percent of tract population with a bachelor's degree; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,crime,crime,F_neighbourhood,level,"property crimes per 1,000 inhabitants",-0.001909,,,0.01,,,,high,"Property-related crime rate per 1,000 population, 2012/2013; <0.01 printed; recorded as 0.01 upper bound",ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,crime,crime,F_neighbourhood,level,"property crimes per 1,000 inhabitants",-0.00107,,,0.01,,,,high,"Property-related crime rate per 1,000 population, 2012/2013; <0.01 printed; recorded as 0.01 upper bound",ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,school,school_quality,F_neighbourhood,level,score (Ohio public school performance index),0.001646,,,0.01,,,,high,<0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,school,school_quality,F_neighbourhood,level,score (Ohio public school performance index),0.002347,,,0.01,,,,high,<0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,parkdist,green_space,E_environment,level,m,-5.1e-05,,,0.018,,,,high,Euclidean distance to closest park in metres,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,parkdist,green_space,E_environment,level,m,-2.8e-05,,,0.01,,,,high,Euclidean distance to closest park in metres; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,parksize,green_space,E_environment,level,ha,0.000183,,,0.01,,,,high,Size of closest park in hectares; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,parksize,green_space,E_environment,level,ha,0.000181,,,0.01,,,,high,Size of closest park in hectares; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c1,3,SDEM,11,parkfacility,green_space,E_environment,binary,binary,-0.037543,,,0.01,,,,high,Closest park has built recreational facilities =1; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,spatial_error,36167.0,0.771,p,"Spatial Durbin error model (Bayesian), properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T3-c2,3,SLX,11,parkfacility,green_space,E_environment,binary,binary,-0.043141,,,0.01,,,,high,Closest park has built recreational facilities =1; <0.01 printed; recorded as 0.01 upper bound,ln(appraised market value),log,other,36167.0,0.6657,p,"Spatial lag of X model, properties within 0-500 m of nearest park; p-values printed"
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c1,4,SDEM 0-100 m,13,parkdist,green_space,E_environment,level,m,2.2e-05,,,,,,,high,"Distance to closest park (m); SDEM, 0-100 m buffer",ln(appraised market value),log,spatial_error,6340.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 0-100 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c1,4,SDEM 0-100 m,13,parksize,green_space,E_environment,level,ha,0.000289,,,,***,,,high,"Size of closest park (ha); SDEM, 0-100 m buffer",ln(appraised market value),log,spatial_error,6340.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 0-100 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c1,4,SDEM 0-100 m,13,parkfacility,green_space,E_environment,binary,binary,-0.029609,,,,**,,,high,"Park facility dummy; SDEM, 0-100 m buffer",ln(appraised market value),log,spatial_error,6340.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 0-100 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c2,4,SLX 0-100 m,13,parkdist,green_space,E_environment,level,m,-0.000131,,,,,,,high,"Distance to closest park (m); SLX, 0-100 m buffer",ln(appraised market value),log,other,6340.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 0-100 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c2,4,SLX 0-100 m,13,parksize,green_space,E_environment,level,ha,0.000335,,,,***,,,high,"Size of closest park (ha); SLX, 0-100 m buffer",ln(appraised market value),log,other,6340.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 0-100 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c2,4,SLX 0-100 m,13,parkfacility,green_space,E_environment,binary,binary,-0.044068,,,,***,,,high,"Park facility dummy; SLX, 0-100 m buffer",ln(appraised market value),log,other,6340.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 0-100 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c3,4,SDEM 0-250 m,13,parkdist,green_space,E_environment,level,m,-7.1e-05,,,,,,,high,"Distance to closest park (m); SDEM, 0-250 m buffer",ln(appraised market value),log,spatial_error,18415.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 0-250 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c3,4,SDEM 0-250 m,13,parksize,green_space,E_environment,level,ha,0.000249,,,,***,,,high,"Size of closest park (ha); SDEM, 0-250 m buffer",ln(appraised market value),log,spatial_error,18415.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 0-250 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c3,4,SDEM 0-250 m,13,parkfacility,green_space,E_environment,binary,binary,-0.035509,,,,***,,,high,"Park facility dummy; SDEM, 0-250 m buffer",ln(appraised market value),log,spatial_error,18415.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 0-250 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c4,4,SLX 0-250 m,13,parkdist,green_space,E_environment,level,m,-6.3e-05,,,,**,,,high,"Distance to closest park (m); SLX, 0-250 m buffer",ln(appraised market value),log,other,18415.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 0-250 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c4,4,SLX 0-250 m,13,parksize,green_space,E_environment,level,ha,0.000274,,,,***,,,high,"Size of closest park (ha); SLX, 0-250 m buffer",ln(appraised market value),log,other,18415.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 0-250 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c4,4,SLX 0-250 m,13,parkfacility,green_space,E_environment,binary,binary,-0.041457,,,,***,,,high,"Park facility dummy; SLX, 0-250 m buffer",ln(appraised market value),log,other,18415.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 0-250 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c5,4,SDEM 250-500 m,13,parkdist,green_space,E_environment,level,m,-4.3e-05,,,,,,,high,"Distance to closest park (m); SDEM, 250-500 m buffer",ln(appraised market value),log,spatial_error,17752.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 250-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c5,4,SDEM 250-500 m,13,parksize,green_space,E_environment,level,ha,0.000126,,,,***,,,high,"Size of closest park (ha); SDEM, 250-500 m buffer",ln(appraised market value),log,spatial_error,17752.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 250-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c5,4,SDEM 250-500 m,13,parkfacility,green_space,E_environment,binary,binary,-0.037637,,,,***,,,high,"Park facility dummy; SDEM, 250-500 m buffer",ln(appraised market value),log,spatial_error,17752.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 250-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c6,4,SLX 250-500 m,13,parkdist,green_space,E_environment,level,m,-1.5e-05,,,,,,,high,"Distance to closest park (m); SLX, 250-500 m buffer",ln(appraised market value),log,other,17752.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 250-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c6,4,SLX 250-500 m,13,parksize,green_space,E_environment,level,ha,0.000119,,,,***,,,high,"Size of closest park (ha); SLX, 250-500 m buffer",ln(appraised market value),log,other,17752.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 250-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c6,4,SLX 250-500 m,13,parkfacility,green_space,E_environment,binary,binary,-0.044139,,,,***,,,high,"Park facility dummy; SLX, 250-500 m buffer",ln(appraised market value),log,other,17752.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 250-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c7,4,SDEM 100-500 m,13,parkdist,green_space,E_environment,level,m,-3.5e-05,,,,,,,high,"Distance to closest park (m); SDEM, 100-500 m buffer",ln(appraised market value),log,spatial_error,29827.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 100-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c7,4,SDEM 100-500 m,13,parksize,green_space,E_environment,level,ha,0.000167,,,,***,,,high,"Size of closest park (ha); SDEM, 100-500 m buffer",ln(appraised market value),log,spatial_error,29827.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 100-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c7,4,SDEM 100-500 m,13,parkfacility,green_space,E_environment,binary,binary,-0.037449,,,,***,,,high,"Park facility dummy; SDEM, 100-500 m buffer",ln(appraised market value),log,spatial_error,29827.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 100-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c8,4,SLX 100-500 m,13,parkdist,green_space,E_environment,level,m,-9e-06,,,,,,,high,"Distance to closest park (m); SLX, 100-500 m buffer",ln(appraised market value),log,other,29827.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 100-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c8,4,SLX 100-500 m,13,parksize,green_space,E_environment,level,ha,0.000152,,,,***,,,high,"Size of closest park (ha); SLX, 100-500 m buffer",ln(appraised market value),log,other,29827.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 100-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c8,4,SLX 100-500 m,13,parkfacility,green_space,E_environment,binary,binary,-0.044089,,,,***,,,high,"Park facility dummy; SLX, 100-500 m buffer",ln(appraised market value),log,other,29827.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 100-500 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c9,4,SDEM 500-750 m,13,parkdist,green_space,E_environment,level,m,1.5e-05,,,,,,,high,"Distance to closest park (m); SDEM, 500-750 m buffer",ln(appraised market value),log,spatial_error,9145.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 500-750 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c9,4,SDEM 500-750 m,13,parksize,green_space,E_environment,level,ha,0.000147,,,,***,,,high,"Size of closest park (ha); SDEM, 500-750 m buffer",ln(appraised market value),log,spatial_error,9145.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 500-750 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c9,4,SDEM 500-750 m,13,parkfacility,green_space,E_environment,binary,binary,-0.038445,,,,***,,,high,"Park facility dummy; SDEM, 500-750 m buffer",ln(appraised market value),log,spatial_error,9145.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 500-750 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c10,4,SLX 500-750 m,13,parkdist,green_space,E_environment,level,m,0.00037,,,,,,,high,"Distance to closest park (m); SLX, 500-750 m buffer",ln(appraised market value),log,other,9145.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 500-750 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c10,4,SLX 500-750 m,13,parksize,green_space,E_environment,level,ha,9.1e-05,,,,***,,,high,"Size of closest park (ha); SLX, 500-750 m buffer",ln(appraised market value),log,other,9145.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 500-750 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c10,4,SLX 500-750 m,13,parkfacility,green_space,E_environment,binary,binary,-0.035325,,,,***,,,high,"Park facility dummy; SLX, 500-750 m buffer",ln(appraised market value),log,other,9145.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 500-750 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c11,4,SDEM 750-1000 m,13,parkdist,green_space,E_environment,level,m,0.000346,,,,***,,,high,"Distance to closest park (m); SDEM, 750-1000 m buffer",ln(appraised market value),log,spatial_error,3989.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 750-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c11,4,SDEM 750-1000 m,13,parksize,green_space,E_environment,level,ha,5.3e-05,,,,,,,high,"Size of closest park (ha); SDEM, 750-1000 m buffer",ln(appraised market value),log,spatial_error,3989.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 750-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c11,4,SDEM 750-1000 m,13,parkfacility,green_space,E_environment,binary,binary,-0.033261,,,,*,,,high,"Park facility dummy; SDEM, 750-1000 m buffer",ln(appraised market value),log,spatial_error,3989.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 750-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c12,4,SLX 750-1000 m,13,parkdist,green_space,E_environment,level,m,0.000319,,,,***,,,high,"Distance to closest park (m); SLX, 750-1000 m buffer",ln(appraised market value),log,other,3989.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 750-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c12,4,SLX 750-1000 m,13,parksize,green_space,E_environment,level,ha,6.3e-05,,,,**,,,high,"Size of closest park (ha); SLX, 750-1000 m buffer",ln(appraised market value),log,other,3989.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 750-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c12,4,SLX 750-1000 m,13,parkfacility,green_space,E_environment,binary,binary,-0.02655,,,,***,,,high,"Park facility dummy; SLX, 750-1000 m buffer",ln(appraised market value),log,other,3989.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 750-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c13,4,SDEM 500-1000 m,13,parkdist,green_space,E_environment,level,m,0.000229,,,,***,,,high,"Distance to closest park (m); SDEM, 500-1000 m buffer",ln(appraised market value),log,spatial_error,13134.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 500-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c13,4,SDEM 500-1000 m,13,parksize,green_space,E_environment,level,ha,0.000146,,,,***,,,high,"Size of closest park (ha); SDEM, 500-1000 m buffer",ln(appraised market value),log,spatial_error,13134.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 500-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c13,4,SDEM 500-1000 m,13,parkfacility,green_space,E_environment,binary,binary,-0.037838,,,,***,,,high,"Park facility dummy; SDEM, 500-1000 m buffer",ln(appraised market value),log,spatial_error,13134.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the 500-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c14,4,SLX 500-1000 m,13,parkdist,green_space,E_environment,level,m,0.000188,,,,***,,,high,"Distance to closest park (m); SLX, 500-1000 m buffer",ln(appraised market value),log,other,13134.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 500-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c14,4,SLX 500-1000 m,13,parksize,green_space,E_environment,level,ha,0.000106,,,,***,,,high,"Size of closest park (ha); SLX, 500-1000 m buffer",ln(appraised market value),log,other,13134.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 500-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c14,4,SLX 500-1000 m,13,parkfacility,green_space,E_environment,binary,binary,-0.035218,,,,***,,,high,"Park facility dummy; SLX, 500-1000 m buffer",ln(appraised market value),log,other,13134.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the 500-1000 m buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c15,4,SDEM no buffer,13,parkdist,green_space,E_environment,level,m,6.1e-05,,,,***,,,high,"Distance to closest park (m); SDEM, no buffer buffer",ln(appraised market value),log,spatial_error,51786.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the no buffer buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c15,4,SDEM no buffer,13,parksize,green_space,E_environment,level,ha,0.000141,,,,***,,,high,"Size of closest park (ha); SDEM, no buffer buffer",ln(appraised market value),log,spatial_error,51786.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the no buffer buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c15,4,SDEM no buffer,13,parkfacility,green_space,E_environment,binary,binary,-0.034785,,,,***,,,high,"Park facility dummy; SDEM, no buffer buffer",ln(appraised market value),log,spatial_error,51786.0,,none,Sensitivity analysis: SDEM model re-estimated for properties in the no buffer buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c16,4,SLX no buffer,13,parkdist,green_space,E_environment,level,m,4.8e-05,,,,***,,,high,"Distance to closest park (m); SLX, no buffer buffer",ln(appraised market value),log,other,51786.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the no buffer buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c16,4,SLX no buffer,13,parksize,green_space,E_environment,level,ha,0.000122,,,,***,,,high,"Size of closest park (ha); SLX, no buffer buffer",ln(appraised market value),log,other,51786.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the no buffer buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831,79a14cd6c47cfe07a6fd907132f2ed86427b4831:T4-c16,4,SLX no buffer,13,parkfacility,green_space,E_environment,binary,binary,-0.037216,,,,***,,,high,"Park facility dummy; SLX, no buffer buffer",ln(appraised market value),log,other,51786.0,,none,Sensitivity analysis: SLX model re-estimated for properties in the no buffer buffer around the nearest park; only park coefficients printed with stars; same controls as Table 3
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,AREA,living_area,A_structural,level,m2,0.012,0.001,,,***,,,high,floor area of apartment (m2); enters with AREA2,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,AREA,living_area,A_structural,level,m2,0.012,0.001,,,***,,,high,floor area of apartment (m2); enters with AREA2,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,AREA,living_area,A_structural,level,m2,0.012,0.001,,,***,,,high,floor area of apartment (m2); enters with AREA2,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,AREA,living_area,A_structural,level,m2,0.012,0.001,,,***,,,high,floor area of apartment (m2); enters with AREA2,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,AREA2,living_area,A_structural,squared,m2,-2.39e-05,4.7e-06,,,***,,,high,square of floor area; printed in E-05 notation,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,AREA2,living_area,A_structural,squared,m2,-2.45e-05,4.9e-06,,,***,,,high,square of floor area; printed in E-05 notation,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,AREA2,living_area,A_structural,squared,m2,-2.1e-05,3.8e-06,,,***,,,high,square of floor area; printed in E-05 notation,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,AREA2,living_area,A_structural,squared,m2,-2.42e-05,3.7e-06,,,***,,,high,square of floor area; printed in E-05 notation,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,CNSTR_LQ,condition,A_structural,binary,binary,-0.14,0.021,,,***,,,high,1 = construction quality below average,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,CNSTR_LQ,condition,A_structural,binary,binary,-0.104,0.023,,,***,,,high,1 = construction quality below average,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,CNSTR_LQ,condition,A_structural,binary,binary,-0.104,0.025,,,***,,,high,1 = construction quality below average,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,CNSTR_LQ,condition,A_structural,binary,binary,-0.102,0.021,,,***,,,high,1 = construction quality below average,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,AGE,age,A_structural,level,years,-0.001,0.001,,,,,,high,age of building in years,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,AGE,age,A_structural,level,years,-0.009,0.002,,,***,,,high,age of building in years,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,AGE,age,A_structural,level,years,-0.018,0.002,,,***,,,high,age of building in years,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,AGE,age,A_structural,level,years,-0.018,0.002,,,***,,,high,age of building in years,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,BATHROOM,bathrooms,A_structural,binary,binary,0.135,0.03,,,***,,,high,1 = more than one bathroom,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,BATHROOM,bathrooms,A_structural,binary,binary,0.144,0.03,,,***,,,high,1 = more than one bathroom,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,BATHROOM,bathrooms,A_structural,binary,binary,0.123,0.033,,,***,,,high,1 = more than one bathroom,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,BATHROOM,bathrooms,A_structural,binary,binary,0.151,0.03,,,***,,,high,1 = more than one bathroom,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,BLW_GRND,floor_level,A_structural,binary,binary,-0.205,0.05,,,***,,,high,1 = apartment below ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,BLW_GRND,floor_level,A_structural,binary,binary,-0.191,0.045,,,***,,,high,1 = apartment below ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,BLW_GRND,floor_level,A_structural,binary,binary,-0.237,0.057,,,***,,,high,1 = apartment below ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,BLW_GRND,floor_level,A_structural,binary,binary,-0.266,0.051,,,***,,,high,1 = apartment below ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,GROUND,floor_level,A_structural,binary,binary,-0.075,0.016,,,***,,,high,1 = apartment on ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,GROUND,floor_level,A_structural,binary,binary,-0.078,0.016,,,***,,,high,1 = apartment on ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,GROUND,floor_level,A_structural,binary,binary,-0.086,0.015,,,***,,,high,1 = apartment on ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,GROUND,floor_level,A_structural,binary,binary,-0.088,0.014,,,***,,,high,1 = apartment on ground floor,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,NRTH_WST,sunlight,E_environment,binary,binary,-0.011,0.014,,,,,,high,1 = faces north and/or west (less sunlight),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,NRTH_WST,sunlight,E_environment,binary,binary,-0.013,0.014,,,,,,high,1 = faces north and/or west (less sunlight),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,NRTH_WST,sunlight,E_environment,binary,binary,-0.014,0.012,,,,,,high,1 = faces north and/or west (less sunlight),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,NRTH_WST,sunlight,E_environment,binary,binary,-0.019,0.011,,,*,,,high,1 = faces north and/or west (less sunlight),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,POOL,pool,C_exterior,binary,binary,0.233,0.045,,,***,,,high,"swimming pool in apartment complex (shared, not private)","log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,POOL,pool,C_exterior,binary,binary,0.234,0.046,,,***,,,high,"swimming pool in apartment complex (shared, not private)","log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,POOL,pool,C_exterior,binary,binary,0.217,0.039,,,***,,,high,"swimming pool in apartment complex (shared, not private)","log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,POOL,pool,C_exterior,binary,binary,0.19,0.041,,,***,,,high,"swimming pool in apartment complex (shared, not private)","log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,SECURITY,other,other,binary,binary,0.196,0.023,,,***,,,high,security guards present in complex; no taxonomy leaf,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,SECURITY,other,other,binary,binary,0.174,0.024,,,***,,,high,security guards present in complex; no taxonomy leaf,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,SECURITY,other,other,binary,binary,0.134,0.024,,,***,,,high,security guards present in complex; no taxonomy leaf,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,SECURITY,other,other,binary,binary,0.148,0.024,,,***,,,high,security guards present in complex; no taxonomy leaf,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c1,2,1,8,DISTANCE,cbd_distance,D_location,level,km,-0.018,0.003,,,***,,,high,km from CBD (Anitpark); Table 1 mislabels it 'Binary' but it is continuous (mean 5.77 km),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.851,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c2,2,2,8,DISTANCE,cbd_distance,D_location,level,km,-0.018,0.003,,,***,,,high,km from CBD (Anitpark); Table 1 mislabels it 'Binary' but it is continuous (mean 5.77 km),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.861,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,DISTANCE,cbd_distance,D_location,level,km,-0.03,0.003,,,***,,,high,km from CBD (Anitpark); Table 1 mislabels it 'Binary' but it is continuous (mean 5.77 km),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,DISTANCE,cbd_distance,D_location,level,km,-0.01,0.005,,,**,,,high,km from CBD (Anitpark); Table 1 mislabels it 'Binary' but it is continuous (mean 5.77 km),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,SCHOOL,school_quality,F_neighbourhood,binary,binary,0.2,0.029,,,***,,,high,1 = high-quality public primary school (top-100 SBS) within 1 km; mixes proximity and quality,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,SCHOOL,school_quality,F_neighbourhood,binary,binary,0.151,0.028,,,***,,,high,1 = high-quality public primary school (top-100 SBS) within 1 km; mixes proximity and quality,"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c3,2,3,8,AIR,air_pollution,E_environment,binary,binary,0.141,0.02,,,***,,,high,1 = air perceived clean by agents (sign reversed relative to pollution),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.894,se,
7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa,7a87d94cbb2a1bb3af93865c70eaef38f5783daa:T2-c4,2,4,8,AIR,air_pollution,E_environment,binary,binary,0.091,0.022,,,***,,,high,1 = air perceived clean by agents (sign reversed relative to pollution),"log(PRICE), sale price of apartment (TL)",log,OLS,405.0,0.908,se,
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,log size in sq.m.,living_area,A_structural,log,m2,0.939,0.002,,,***,,,high,"apartment size in m2, log; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01",log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Floors,floor_level,A_structural,level,count,0.002,0.0004,,,***,,,high,floor level of apartment (integer); all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Age (relative to 2017),age,A_structural,level,years,-0.0002,3e-05,,,***,,,high,building age relative to 2017; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Bathtub,bathroom_quality,B_interior,binary,binary,-0.032,0.002,,,***,,,high,dwelling has a bathtub; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Refurbished,renovation,A_structural,binary,binary,-0.015,0.002,,,***,,,high,refurbished dwelling; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Built-in kitchen,kitchen_quality,B_interior,binary,binary,0.084,0.002,,,***,,,high,built-in kitchen; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Balcony,terrace_balcony,C_exterior,binary,binary,0.011,0.002,,,***,,,high,all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Parking,parking,A_structural,binary,binary,0.053,0.002,,,***,,,high,parking space included; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Elevator,accessibility,B_interior,binary,binary,0.053,0.002,,,***,,,high,all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Terrace,terrace_balcony,C_exterior,binary,binary,0.041,0.002,,,***,,,high,all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,log Purchasing Power,income,F_neighbourhood,log,currency,0.406,0.011,,,***,,,high,"household purchasing power EUR per household at ZIP level, log; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01",log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,CBD_distance,cbd_distance,D_location,level,km,-0.019,0.001,,,***,,,high,all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Bar_distance,neighbourhood_amenities,F_neighbourhood,level,km,-0.031,0.002,,,***,,,high,distance to nearest bar; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Beergarden_distance,neighbourhood_amenities,F_neighbourhood,level,km,-0.02,0.002,,,***,,,high,distance to nearest beer garden; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Cafe_distance,neighbourhood_amenities,F_neighbourhood,level,km,-0.014,0.003,,,***,,,high,distance to nearest cafe; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Bakery_distance,commercial_distance,D_location,level,km,-0.011,0.003,,,***,,,high,distance to nearest bakery; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Convenience store_distance,commercial_distance,D_location,level,km,-0.036,0.002,,,***,,,high,distance to nearest convenience store; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Department store_distance,commercial_distance,D_location,level,km,-0.006,0.001,,,***,,,high,distance to nearest department store; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Supermarket_distance,commercial_distance,D_location,level,km,-0.018,0.006,,,***,,,high,distance to nearest supermarket; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Bus station_distance,transit_distance,D_location,level,km,-0.028,0.001,,,***,,,high,distance to nearest bus station; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Railway station_distance,transit_distance,D_location,level,km,-0.02,0.002,,,***,,,high,distance to nearest railway station; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Traffic signals_distance,other,other,level,km,0.086,0.007,,,***,,,high,distance to nearest traffic signal (traffic nuisance proxy); no taxonomy leaf; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Car wash_distance,other,other,level,km,0.012,0.002,,,***,,,high,distance to nearest car wash (nuisance proxy); no taxonomy leaf; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,Park_distance,green_space,E_environment,level,km,-0.024,0.006,,,***,,,high,distance to nearest park; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c1,2,OLS,11,School_distance,school_distance,D_location,level,km,-0.003,0.005,,,***,,,medium,distance to nearest school; all coefficients printed ***; stars * p<0.1 ** p<0.05 *** p<0.01; printed *** inconsistent with beta/SE = -0.6,log monthly asking rent (EUR/month),log,OLS,52966.0,0.88,se,OLS; year and month controls; apartment coordinates as location controls; adj R2 0.880
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,log size in sq.m.,living_area,A_structural,log,m2,0.928,0.008,,,***,,,high,"apartment size in m2, log; SAR; all printed ***; SE decimal comma in source",log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Floors,floor_level,A_structural,level,count,0.003,0.002,,,***,,,medium,floor level of apartment (integer); SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Age (relative to 2017),age,A_structural,level,years,-0.0,0.0001,,,***,,,medium,building age relative to 2017; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Bathtub,bathroom_quality,B_interior,binary,binary,-0.032,0.006,,,***,,,high,dwelling has a bathtub; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Refurbished,renovation,A_structural,binary,binary,-0.013,0.007,,,***,,,medium,refurbished dwelling; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Built-in kitchen,kitchen_quality,B_interior,binary,binary,0.077,0.007,,,***,,,high,built-in kitchen; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Balcony,terrace_balcony,C_exterior,binary,binary,0.012,0.007,,,***,,,medium,SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Parking,parking,A_structural,binary,binary,0.048,0.008,,,***,,,high,parking space included; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Elevator,accessibility,B_interior,binary,binary,0.048,0.009,,,***,,,high,SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Terrace,terrace_balcony,C_exterior,binary,binary,0.041,0.009,,,***,,,high,SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,log Purchasing Power,income,F_neighbourhood,log,currency,0.313,0.04,,,***,,,high,"household purchasing power EUR per household at ZIP level, log; SAR; all printed ***; SE decimal comma in source",log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,CBD_distance,cbd_distance,D_location,level,km,-0.014,0.002,,,***,,,high,SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Bar_distance,neighbourhood_amenities,F_neighbourhood,level,km,-0.024,0.008,,,***,,,high,distance to nearest bar; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Beergarden_distance,neighbourhood_amenities,F_neighbourhood,level,km,-0.015,0.005,,,***,,,high,distance to nearest beer garden; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Cafe_distance,neighbourhood_amenities,F_neighbourhood,level,km,-0.011,0.01,,,***,,,medium,distance to nearest cafe; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Bakery_distance,commercial_distance,D_location,level,km,-0.016,0.009,,,***,,,medium,distance to nearest bakery; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Convenience store_distance,commercial_distance,D_location,level,km,-0.035,0.007,,,***,,,high,distance to nearest convenience store; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Department store_distance,commercial_distance,D_location,level,km,-0.008,0.005,,,***,,,medium,distance to nearest department store; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Supermarket_distance,commercial_distance,D_location,level,km,-0.029,0.02,,,***,,,medium,distance to nearest supermarket; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Bus station_distance,transit_distance,D_location,level,km,-0.017,0.004,,,***,,,high,distance to nearest bus station; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Railway station_distance,transit_distance,D_location,level,km,-0.02,0.007,,,***,,,high,distance to nearest railway station; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Traffic signals_distance,other,other,level,km,0.075,0.024,,,***,,,high,distance to nearest traffic signal (traffic nuisance proxy); no taxonomy leaf; SAR; all printed ***; SE decimal comma in source,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Car wash_distance,other,other,level,km,0.007,0.006,,,***,,,medium,distance to nearest car wash (nuisance proxy); no taxonomy leaf; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,Park_distance,green_space,E_environment,level,km,-0.019,0.02,,,***,,,medium,distance to nearest park; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c3,2,SAR,11,School_distance,school_distance,D_location,level,km,0.008,0.006,,,***,,,medium,distance to nearest school; SAR; all printed ***; SE decimal comma in source; printed *** inconsistent with beta/SE ratio,log monthly asking rent (EUR/month),log,spatial_lag,52966.0,0.885,se,"spatial autoregressive model, rho 0.131; SEs printed with comma decimal separator; R2 0.885"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,log size in sq.m.,living_area,A_structural,log,m2,0.9,,,,***,,,medium,"apartment size in m2, log; GAM parametric term; no SE printed for this entry",log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Floors,floor_level,A_structural,level,count,0.003,0.0003,,,***,,,high,floor level of apartment (integer); GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Bathtub,bathroom_quality,B_interior,binary,binary,-0.016,0.001,,,***,,,high,dwelling has a bathtub; GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Refurbished,renovation,A_structural,binary,binary,0.005,0.002,,,***,,,high,refurbished dwelling; GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Built-in kitchen,kitchen_quality,B_interior,binary,binary,0.077,0.002,,,***,,,high,built-in kitchen; GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Balcony,terrace_balcony,C_exterior,binary,binary,0.025,0.002,,,***,,,high,GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Parking,parking,A_structural,binary,binary,0.032,0.002,,,***,,,high,parking space included; GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Elevator,accessibility,B_interior,binary,binary,0.02,0.002,,,***,,,high,GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,Terrace,terrace_balcony,C_exterior,binary,binary,0.02,0.002,,,***,,,high,GAM parametric term,log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678,7b29c36e620db272e042f7b9f343c676a2038678:T2-c2,2,GAM,11,log Purchasing Power,income,F_neighbourhood,log,currency,0.069,0.002,,,***,,,high,"household purchasing power EUR per household at ZIP level, log; GAM parametric term",log monthly asking rent (EUR/month),log,other,52966.0,0.898,se,"generalised additive model; only parametric (linear) terms extracted - size, age and all distance variables enter as smooth splines (edf reported, not coefficients); adj R2 0.898"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,AREA,lot_size,A_structural,level,m2 (land area),0.0142,,9.426,,***,,,high,Land area of the property in m2,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,AREA,lot_size,A_structural,level,m2 (land area),0.0143,,9.426,,***,,,high,Land area of the property in m2,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,AREA,lot_size,A_structural,level,m2 (land area),0.0145,,9.864,,***,,,high,Land area of the property in m2,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m4,3,Model 4,3,AREA,lot_size,A_structural,level,m2 (land area),0.0141,,10.124,,***,,,high,Land area of the property in m2,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7784,t,"USE, TERRACE, NOF dropped; adjusted R2 0.7727; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m5,3,Model 5,3,AREA,lot_size,A_structural,level,m2 (land area),0.0148,,10.012,,***,,,high,"Land area of the property in m2; printed with typo '0,.0148'-style decimal separator","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7689,t,"USE, TERRACE, NOF, SHAPE dropped; adjusted R2 0.764; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m6,3,Model 6,3,AREA,lot_size,A_structural,level,m2 (land area),0.0146,,9.942,,***,,,high,"Land area of the property in m2; printed with typo '0,.0148'-style decimal separator","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7846,t,"Final model: AREA, HAREA, DIS1, DIS2, LOCATION only; adjusted R2 0.7809; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,HAREA,living_area,A_structural,level,m2 (house/floor area),0.0008,,1.432,,,,,medium,House area in m2 (descriptive stats garbled: mean 2.780),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,HAREA,living_area,A_structural,level,m2 (house/floor area),0.0008,,1.42,,,,,medium,House area in m2 (descriptive stats garbled: mean 2.780),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,HAREA,living_area,A_structural,level,m2 (house/floor area),0.0008,,1.274,,,,,medium,House area in m2 (descriptive stats garbled: mean 2.780),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m4,3,Model 4,3,HAREA,living_area,A_structural,level,m2 (house/floor area),0.0009,,2.524,,*,,,medium,House area in m2 (descriptive stats garbled: mean 2.780),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7784,t,"USE, TERRACE, NOF dropped; adjusted R2 0.7727; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m5,3,Model 5,3,HAREA,living_area,A_structural,level,m2 (house/floor area),0.0012,,2.788,,*,,,medium,"House area in m2 (descriptive stats garbled: mean 2.780); printed with typo '0,.0148'-style decimal separator","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7689,t,"USE, TERRACE, NOF, SHAPE dropped; adjusted R2 0.764; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m6,3,Model 6,3,HAREA,living_area,A_structural,level,m2 (house/floor area),0.0012,,2.982,,*,,,medium,"House area in m2 (descriptive stats garbled: mean 2.780); printed with typo '0,.0148'-style decimal separator","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7846,t,"Final model: AREA, HAREA, DIS1, DIS2, LOCATION only; adjusted R2 0.7809; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,DIS1,cbd_distance,D_location,level,km,-0.045,,-1.984,,*,,,high,"Distance from property to Hanoi city centre, km","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,DIS1,cbd_distance,D_location,level,km,-0.065,,-1.928,,*,,,high,"Distance from property to Hanoi city centre, km","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,DIS1,cbd_distance,D_location,level,km,-0.0665,,-1.948,,*,,,high,"Distance from property to Hanoi city centre, km","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m4,3,Model 4,3,DIS1,cbd_distance,D_location,level,km,-0.0648,,-2.114,,*,,,high,"Distance from property to Hanoi city centre, km","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7784,t,"USE, TERRACE, NOF dropped; adjusted R2 0.7727; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m5,3,Model 5,3,DIS1,cbd_distance,D_location,level,km,-0.0684,,-2.682,,*,,,high,"Distance from property to Hanoi city centre, km","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7689,t,"USE, TERRACE, NOF, SHAPE dropped; adjusted R2 0.764; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m6,3,Model 6,3,DIS1,cbd_distance,D_location,level,km,-0.084,,-2.683,,*,,,high,"Distance from property to Hanoi city centre, km","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7846,t,"Final model: AREA, HAREA, DIS1, DIS2, LOCATION only; adjusted R2 0.7809; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,DIS2,other,other,level,"km (distance from property to street frontage, i.e. alley depth)",-0.0016,,-1.914,,*,,,medium,"Distance to street frontage (alley depth); text interprets as 0.12-0.16% per metre, suggesting the unit may actually be metres; taxonomy other","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,DIS2,other,other,level,"km (distance from property to street frontage, i.e. alley depth)",-0.0016,,-1.976,,*,,,medium,"Distance to street frontage (alley depth); text interprets as 0.12-0.16% per metre, suggesting the unit may actually be metres; taxonomy other","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,DIS2,other,other,level,"km (distance from property to street frontage, i.e. alley depth)",-0.0016,,-1.978,,*,,,medium,"Distance to street frontage (alley depth); text interprets as 0.12-0.16% per metre, suggesting the unit may actually be metres; taxonomy other","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m4,3,Model 4,3,DIS2,other,other,level,"km (distance from property to street frontage, i.e. alley depth)",-0.0016,,-1.928,,*,,,medium,"Distance to street frontage (alley depth); text interprets as 0.12-0.16% per metre, suggesting the unit may actually be metres; taxonomy other","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7784,t,"USE, TERRACE, NOF dropped; adjusted R2 0.7727; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m5,3,Model 5,3,DIS2,other,other,level,"km (distance from property to street frontage, i.e. alley depth)",-0.0017,,-1.926,,*,,,medium,"Distance to street frontage (alley depth); text interprets as 0.12-0.16% per metre, suggesting the unit may actually be metres; taxonomy other","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7689,t,"USE, TERRACE, NOF, SHAPE dropped; adjusted R2 0.764; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m6,3,Model 6,3,DIS2,other,other,level,"km (distance from property to street frontage, i.e. alley depth)",-0.0015,,-1.968,,*,,,medium,"Distance to street frontage (alley depth); text interprets as 0.12-0.16% per metre, suggesting the unit may actually be metres; taxonomy other","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7846,t,"Final model: AREA, HAREA, DIS1, DIS2, LOCATION only; adjusted R2 0.7809; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,LOCATION,other,other,binary,"binary (1 = property on street frontage, 0 = in alley)",0.9284,,7.192,,***,,,high,Frontage vs alley location dummy; taxonomy other (street-frontage access),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,LOCATION,other,other,binary,"binary (1 = property on street frontage, 0 = in alley)",0.8294,,7.899,,***,,,high,Frontage vs alley location dummy; taxonomy other (street-frontage access),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,LOCATION,other,other,binary,"binary (1 = property on street frontage, 0 = in alley)",0.8368,,9.827,,***,,,high,Frontage vs alley location dummy; taxonomy other (street-frontage access),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m4,3,Model 4,3,LOCATION,other,other,binary,"binary (1 = property on street frontage, 0 = in alley)",0.8426,,9.248,,***,,,high,Frontage vs alley location dummy; taxonomy other (street-frontage access),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7784,t,"USE, TERRACE, NOF dropped; adjusted R2 0.7727; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m5,3,Model 5,3,LOCATION,other,other,binary,"binary (1 = property on street frontage, 0 = in alley)",0.8424,,9.842,,***,,,high,Frontage vs alley location dummy; taxonomy other (street-frontage access),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7689,t,"USE, TERRACE, NOF, SHAPE dropped; adjusted R2 0.764; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m6,3,Model 6,3,LOCATION,other,other,binary,"binary (1 = property on street frontage, 0 = in alley)",0.8468,,9.468,,***,,,high,Frontage vs alley location dummy; taxonomy other (street-frontage access),"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7846,t,"Final model: AREA, HAREA, DIS1, DIS2, LOCATION only; adjusted R2 0.7809; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,WIDTH,other,other,level,m (front pavement width),-0.0085,,-1.826,,*,,,high,Width of the front pavement/facade in metres; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,WIDTH,other,other,level,m (front pavement width),-0.0088,,-1.824,,*,,,high,Width of the front pavement/facade in metres; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,WIDTH,other,other,level,m (front pavement width),-0.0086,,-1.946,,*,,,high,Width of the front pavement/facade in metres; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m4,3,Model 4,3,WIDTH,other,other,level,m (front pavement width),-0.0084,,-1.964,,*,,,high,Width of the front pavement/facade in metres; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7784,t,"USE, TERRACE, NOF dropped; adjusted R2 0.7727; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m5,3,Model 5,3,WIDTH,other,other,level,m (front pavement width),-0.0094,,-1.848,,*,,,high,Width of the front pavement/facade in metres; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7689,t,"USE, TERRACE, NOF, SHAPE dropped; adjusted R2 0.764; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,SHAPE,other,other,binary,binary (1 = back of lot wider than or equal to front),0.1283,,0.984,,,,,high,Lot shape dummy; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,SHAPE,other,other,binary,binary (1 = back of lot wider than or equal to front),0.1078,,0.872,,,,,high,Lot shape dummy; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,SHAPE,other,other,binary,binary (1 = back of lot wider than or equal to front),0.1268,,0.924,,,,,high,Lot shape dummy; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m4,3,Model 4,3,SHAPE,other,other,binary,binary (1 = back of lot wider than or equal to front),0.1046,,0.924,,,,,high,Lot shape dummy; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7784,t,"USE, TERRACE, NOF dropped; adjusted R2 0.7727; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,NOF,storeys,A_structural,dummy,"binary (1 = number of floors <= 4, 0 = > 4)",-0.1193,,-0.742,,,,,high,"Number of floors entered as a dummy (<=4 floors), not a count","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,NOF,storeys,A_structural,dummy,"binary (1 = number of floors <= 4, 0 = > 4)",-0.1428,,-0.846,,,,,high,"Number of floors entered as a dummy (<=4 floors), not a count","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m3,3,Model 3,3,NOF,storeys,A_structural,dummy,"binary (1 = number of floors <= 4, 0 = > 4)",-0.1464,,-0.846,,,,,high,"Number of floors entered as a dummy (<=4 floors), not a count","LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,"USE, TERRACE dropped; adjusted R2 0.7758; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))"
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,TERRACE,terrace_balcony,C_exterior,binary,binary,-0.0426,,-0.492,,,,,high,Terrace dummy,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m2,3,Model 2,3,TERRACE,terrace_balcony,C_exterior,binary,binary,-0.0428,,-0.548,,,,,high,Terrace dummy,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7918,t,USE dropped; adjusted R2 0.7846; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f,7de41ea5f998e11b3cc730af7771c0a4b73baa2f:T3-m1,3,Model 1,3,USE,other,other,binary,"binary (1 = business/office or mixed use allowed, 0 = residential only)",0.0602,,0.62,,,,,high,Intended use dummy; taxonomy other,"LogPRICE: natural log of real estate price (VND; scale not stated, mean 8.20)",log,OLS,240.0,0.7824,t,All 10 variables; adjusted R2 0.7739; table note says 'Robust standard errors in parentheses' but the parenthesised values are t-statistics (e.g. 0.0142 with (9.426))
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,House age,age,A_structural,level,years,66.18976,33.64222,1.97,,*,,,high,,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,House age,age,A_structural,level,years,0.0018017,0.0008823,2.04,,*,,,high,,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,House age,age,A_structural,level,years,166.016,45.90104,3.62,,**,,,high,,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,House age,age,A_structural,level,years,0.0045487,0.0010464,-4.35,,**,,,medium,printed coefficient sign disagrees with printed t-value sign,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,House age,age,A_structural,level,years,71.68437,38.28094,1.87,,,,,high,,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,House age,age,A_structural,level,years,0.0013215,0.0010493,-1.26,,,,,medium,printed coefficient sign disagrees with printed t-value sign,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,House unit size,living_area,A_structural,level,sq_yard,79.99556,4.551541,17.58,,**,,,high,Area covered by housing unit in square yards (1 sq yard = 0.836 m2),monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,House unit size,living_area,A_structural,level,sq_yard,0.0013917,0.0001194,11.66,,**,,,high,Area covered by housing unit in square yards (1 sq yard = 0.836 m2),log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,House unit size,living_area,A_structural,level,sq_yard,65.67229,4.548889,14.44,,**,,,high,Area covered by housing unit in square yards (1 sq yard = 0.836 m2),monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,House unit size,living_area,A_structural,level,sq_yard,0.0009076,0.0001037,8.75,,**,,,high,Area covered by housing unit in square yards (1 sq yard = 0.836 m2),log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,House unit size,living_area,A_structural,level,sq_yard,77.49149,5.64242,13.73,,**,,,high,Area covered by housing unit in square yards (1 sq yard = 0.836 m2),monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,House unit size,living_area,A_structural,level,sq_yard,0.001857,0.0001547,12.01,,**,,,high,Area covered by housing unit in square yards (1 sq yard = 0.836 m2),log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Bedrooms,bedrooms,A_structural,level,count,1690.173,554.19,3.05,,**,,,high,,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Bedrooms,bedrooms,A_structural,level,count,0.0420453,0.0145349,2.89,,**,,,high,,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Bedrooms,bedrooms,A_structural,level,count,2041.083,718.7292,2.84,,**,,,high,,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Bedrooms,bedrooms,A_structural,level,count,0.0488116,0.0163849,2.98,,**,,,high,,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Bedrooms,bedrooms,A_structural,level,count,1596.682,413.7285,3.86,,**,,,high,,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Bedrooms,bedrooms,A_structural,level,count,0.0443812,0.0113403,3.91,,**,,,high,,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Drawing room,other,other,dummy,binary,2549.089,852.2414,2.99,,**,,,high,Dummy: presence of a drawing room (guest room),monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Drawing room,other,other,dummy,binary,0.0834143,0.0223519,3.73,,**,,,high,Dummy: presence of a drawing room (guest room),log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Drawing room,other,other,dummy,binary,3378.79,1378.357,2.45,,*,,,high,Dummy: presence of a drawing room (guest room),monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Drawing room,other,other,dummy,binary,0.067677,0.0314224,2.15,,*,,,high,Dummy: presence of a drawing room (guest room),log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Drawing room,other,other,dummy,binary,950.7497,585.3236,1.62,,,,,high,Dummy: presence of a drawing room (guest room),monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Drawing room,other,other,dummy,binary,0.033505,0.0160437,2.09,,*,,,high,Dummy: presence of a drawing room (guest room),log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Bathrooms,bathrooms,A_structural,level,count,734.8915,620.7361,1.18,,,,,high,,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Bathrooms,bathrooms,A_structural,level,count,0.0181466,0.0162802,1.11,,,,,high,,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Bathrooms,bathrooms,A_structural,level,count,894.3884,678.3305,1.32,,,,,high,,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Bathrooms,bathrooms,A_structural,level,count,0.0122106,0.0154639,0.79,,,,,high,,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Bathrooms,bathrooms,A_structural,level,count,951.5119,460.7668,2.07,,*,,,high,,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Bathrooms,bathrooms,A_structural,level,count,0.0222714,0.0126296,1.76,,,,,high,,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,TV lounge,other,other,dummy,binary,2003.42,953.2602,2.1,,*,,,high,Dummy: presence of a TV lounge / living area,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,TV lounge,other,other,dummy,binary,0.087841,0.0250014,3.51,,**,,,high,Dummy: presence of a TV lounge / living area,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,TV lounge,other,other,dummy,binary,1652.742,1157.746,1.43,,,,,high,Dummy: presence of a TV lounge / living area,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,TV lounge,other,other,dummy,binary,0.0591468,0.0263932,2.24,,*,,,high,Dummy: presence of a TV lounge / living area,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,TV lounge,other,other,dummy,binary,1137.778,511.8009,2.22,,*,,,high,Dummy: presence of a TV lounge / living area,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,TV lounge,other,other,dummy,binary,0.0327429,0.0140285,2.33,,*,,,high,Dummy: presence of a TV lounge / living area,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Garage,garage,A_structural,dummy,binary,977.9888,707.9799,1.38,,,,,high,Garage/parking space dummy,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Garage,garage,A_structural,dummy,binary,0.0537868,0.0185684,2.9,,**,,,high,Garage/parking space dummy,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Garage,garage,A_structural,dummy,binary,1545.144,1140.948,1.35,,,,,high,Garage/parking space dummy,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Garage,garage,A_structural,dummy,binary,0.0643446,0.0260102,2.47,,*,,,high,Garage/parking space dummy,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Garage,garage,A_structural,dummy,binary,1375.326,527.7794,2.61,,*,,,high,Garage/parking space dummy,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Garage,garage,A_structural,dummy,binary,0.0337009,0.0144664,2.33,,*,,,high,Garage/parking space dummy,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Servant quarter,other,other,dummy,binary,2646.275,671.7168,3.94,,**,,,high,Dummy: servant quarter in home,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Servant quarter,other,other,dummy,binary,0.0585302,0.0176173,3.32,,**,,,high,Dummy: servant quarter in home,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Servant quarter,other,other,dummy,binary,3936.82,1136.299,3.46,,**,,,high,Dummy: servant quarter in home,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Servant quarter,other,other,dummy,binary,0.088549,0.0259043,3.42,,**,,,high,Dummy: servant quarter in home,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Servant quarter,other,other,dummy,binary,2524.987,631.1266,4.0,,**,,,high,Dummy: servant quarter in home,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Servant quarter,other,other,dummy,binary,0.0794629,0.0172992,4.59,,**,,,high,Dummy: servant quarter in home,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Lawn,garden,C_exterior,dummy,binary,1815.562,679.3289,2.67,,**,,,high,Dummy: presence of a lawn,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Lawn,garden,C_exterior,dummy,binary,0.0913645,0.0178169,5.13,,**,,,high,Dummy: presence of a lawn,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Lawn,garden,C_exterior,dummy,binary,2333.943,1089.434,2.14,,*,,,high,Dummy: presence of a lawn,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Lawn,garden,C_exterior,dummy,binary,0.0558746,0.0248359,2.25,,*,,,high,Dummy: presence of a lawn,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Lawn,garden,C_exterior,dummy,binary,1034.311,502.4433,2.06,,*,,,high,Dummy: presence of a lawn,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Lawn,garden,C_exterior,dummy,binary,0.0295001,0.013772,2.14,,*,,,high,Dummy: presence of a lawn,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Distance to CBD,cbd_distance,D_location,level,km,1113.781,142.3801,7.82,,**,,,high,Distance from home to city centre (km); printed sign positive in all tables although expected negative and t-values negative in Tables 5-6,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Distance to CBD,cbd_distance,D_location,level,km,0.0122385,0.0037342,3.28,,**,,,high,Distance from home to city centre (km); printed sign positive in all tables although expected negative and t-values negative in Tables 5-6,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Distance to CBD,cbd_distance,D_location,level,km,4085.165,808.8975,5.05,,**,,,high,Distance from home to city centre (km); printed sign positive in all tables although expected negative and t-values negative in Tables 5-6,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Distance to CBD,cbd_distance,D_location,level,km,0.1300239,0.0184405,-7.05,,**,,,medium,Distance from home to city centre (km); printed sign positive in all tables although expected negative and t-values negative in Tables 5-6; printed coefficient sign disagrees with printed t-value sign,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Distance to CBD,cbd_distance,D_location,level,km,809.7306,330.3623,2.45,,*,,,high,Distance from home to city centre (km); printed sign positive in all tables although expected negative and t-values negative in Tables 5-6,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Distance to CBD,cbd_distance,D_location,level,km,0.0184054,0.0090552,-2.03,,*,,,medium,Distance from home to city centre (km); printed sign positive in all tables although expected negative and t-values negative in Tables 5-6; printed coefficient sign disagrees with printed t-value sign,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Distance to school,school_distance,D_location,level,km,1324.727,1594.824,0.83,,,,,high,,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Distance to school,school_distance,D_location,level,km,0.0751735,0.0418278,1.8,,,,,high,,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Distance to school,school_distance,D_location,level,km,2238.825,1076.843,2.08,,*,,,high,,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Distance to school,school_distance,D_location,level,km,0.0511055,0.0245488,-2.08,,*,,,medium,printed coefficient sign disagrees with printed t-value sign,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Distance to school,school_distance,D_location,level,km,1809.456,688.3523,2.63,,**,,,high,,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Distance to school,school_distance,D_location,level,km,-0.0361071,0.0188677,-1.91,,,,,high,,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Distance to park,green_space,E_environment,level,km,3562.901,999.7477,3.56,,**,,,high,Distance from housing unit to park (km),monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Distance to park,green_space,E_environment,level,km,0.1086817,0.0262206,4.14,,**,,,high,Distance from housing unit to park (km),log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Distance to park,green_space,E_environment,level,km,2816.003,1211.215,2.32,,*,,,high,Distance from housing unit to park (km),monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Distance to park,green_space,E_environment,level,km,0.086923,0.0276121,-3.15,,**,,,medium,Distance from housing unit to park (km); printed coefficient sign disagrees with printed t-value sign,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Distance to park,green_space,E_environment,level,km,2949.794,1098.344,-2.69,,**,,,medium,Distance from housing unit to park (km); printed coefficient sign disagrees with printed t-value sign,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Distance to park,green_space,E_environment,level,km,-0.0778371,0.0301056,-2.59,,*,,,high,Distance from housing unit to park (km),log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Distance to slums,hazard_site,E_environment,level,km,5894.832,1632.232,3.61,,**,,,high,Distance to existing (unimproved) slum site (km),monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Distance to slums,hazard_site,E_environment,level,km,0.1864864,0.0428089,4.36,,**,,,high,Distance to existing (unimproved) slum site (km),log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Distance to upgraded slums,hazard_site,E_environment,level,km,6568.099,2070.675,3.17,,**,,,high,Distance to government-upgraded slum site (km),monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Distance to upgraded slums,hazard_site,E_environment,level,km,0.1258162,0.0472052,2.67,,**,,,high,Distance to government-upgraded slum site (km),log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Distance to evicted slums,hazard_site,E_environment,level,km,2930.03,1490.882,1.97,,*,,,high,Distance to evicted/demolished slum site (km),monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Distance to evicted slums,hazard_site,E_environment,level,km,0.0792828,0.0408651,1.94,,*,,,high,Distance to evicted/demolished slum site (km),log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-lin,4,Linear model,7,Visibility,hazard_site,E_environment,dummy,binary,5985.225,1228.731,4.87,,**,,,high,Dummy: slum site visible from the house; Table 4 printed positive although text reports a ~15% rent discount,monthly house rent (PKR),level,OLS,163.0,0.9547,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T4-log,4,Log-linear model,7,Visibility,hazard_site,E_environment,dummy,binary,0.151787,0.0322262,4.71,,**,,,high,Dummy: slum site visible from the house; Table 4 printed positive although text reports a ~15% rent discount,log monthly house rent (PKR),log,OLS,163.0,0.9466,none,Houses around existing (unimproved) slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-lin,5,Linear model,8,Visibility,hazard_site,E_environment,dummy,binary,4921.391,1451.89,3.39,,**,,,high,Dummy: slum site visible from the house; Table 4 printed positive although text reports a ~15% rent discount,monthly house rent (PKR),level,OLS,173.0,0.9441,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T5-log,5,Log-linear model,8,Visibility,hazard_site,E_environment,dummy,binary,-0.1080642,0.0330988,-3.26,,**,,,high,Dummy: slum site visible from the house; Table 4 printed positive although text reports a ~15% rent discount,log monthly house rent (PKR),log,OLS,173.0,0.9193,none,Houses around upgraded slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-lin,6,Linear model,9,Visibility,hazard_site,E_environment,dummy,binary,2237.263,1077.658,-2.08,,*,,,medium,Dummy: slum site visible from the house; Table 4 printed positive although text reports a ~15% rent discount; printed coefficient sign disagrees with printed t-value sign,monthly house rent (PKR),level,OLS,168.0,0.8817,none,Houses around evicted/demolished slum sites
7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8,7e1fb30ea0df3365f3fc36da9a0ba3d2741cb1a8:T6-log,6,Log-linear model,9,Visibility,hazard_site,E_environment,dummy,binary,-0.0676483,0.0295386,-2.29,,*,,,high,Dummy: slum site visible from the house; Table 4 printed positive although text reports a ~15% rent discount,log monthly house rent (PKR),log,OLS,168.0,0.8683,none,Houses around evicted/demolished slum sites
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Rooms,bedrooms,A_structural,level,count,0.012,0.004,,,***,,,high,"Total rooms, mapped to bedrooms (closest leaf, synonym 'rooms'); bedrooms entered separately",LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Rooms,bedrooms,A_structural,level,count,0.012,0.004,,,***,,,high,"Total rooms, mapped to bedrooms (closest leaf, synonym 'rooms'); bedrooms entered separately",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Rooms,bedrooms,A_structural,level,count,0.012,0.004,,,***,,,high,"Total rooms, mapped to bedrooms (closest leaf, synonym 'rooms'); bedrooms entered separately",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Rooms,bedrooms,A_structural,level,count,0.012,0.004,,,***,,,high,"Total rooms, mapped to bedrooms (closest leaf, synonym 'rooms'); bedrooms entered separately",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Rooms,bedrooms,A_structural,level,count,0.012,0.004,,,***,,,high,"Total rooms, mapped to bedrooms (closest leaf, synonym 'rooms'); bedrooms entered separately",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Rooms,bedrooms,A_structural,level,count,0.012,0.004,,,***,,,high,"Total rooms, mapped to bedrooms (closest leaf, synonym 'rooms'); bedrooms entered separately",LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Bedrooms,bedrooms,A_structural,level,count,0.006,0.011,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Bedrooms,bedrooms,A_structural,level,count,0.006,0.011,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Bedrooms,bedrooms,A_structural,level,count,0.006,0.011,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Bedrooms,bedrooms,A_structural,level,count,0.006,0.011,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Bedrooms,bedrooms,A_structural,level,count,0.006,0.011,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Bedrooms,bedrooms,A_structural,level,count,0.007,0.011,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Full baths,bathrooms,A_structural,level,count,0.125,0.021,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Full baths,bathrooms,A_structural,level,count,0.125,0.021,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Full baths,bathrooms,A_structural,level,count,0.125,0.021,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Full baths,bathrooms,A_structural,level,count,0.125,0.021,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Full baths,bathrooms,A_structural,level,count,0.124,0.021,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Full baths,bathrooms,A_structural,level,count,0.124,0.021,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Half baths,bathrooms,A_structural,level,count,0.034,0.015,,,**,,,high,half bathrooms,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Half baths,bathrooms,A_structural,level,count,0.033,0.015,,,**,,,high,half bathrooms,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Half baths,bathrooms,A_structural,level,count,0.033,0.015,,,**,,,high,half bathrooms,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Half baths,bathrooms,A_structural,level,count,0.033,0.015,,,**,,,high,half bathrooms,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Half baths,bathrooms,A_structural,level,count,0.033,0.015,,,**,,,high,half bathrooms,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Half baths,bathrooms,A_structural,level,count,0.033,0.015,,,**,,,high,half bathrooms,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Fireplaces,fireplace,B_interior,level,count,0.086,0.012,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Fireplaces,fireplace,B_interior,level,count,0.086,0.012,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Fireplaces,fireplace,B_interior,level,count,0.086,0.012,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Fireplaces,fireplace,B_interior,level,count,0.086,0.012,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Fireplaces,fireplace,B_interior,level,count,0.086,0.012,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Fireplaces,fireplace,B_interior,level,count,0.086,0.012,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Acreage,lot_size,A_structural,level,acres,0.007,0.019,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Acreage,lot_size,A_structural,level,acres,0.006,0.019,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Acreage,lot_size,A_structural,level,acres,0.007,0.019,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Acreage,lot_size,A_structural,level,acres,0.007,0.019,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Acreage,lot_size,A_structural,level,acres,0.007,0.019,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Acreage,lot_size,A_structural,level,acres,0.007,0.019,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Square feet,living_area,A_structural,level,sqft,0.0,0.0,,,***,,,low,coefficient and SE printed as 0.000 (rounded to 3 decimals); not usable numerically,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Square feet,living_area,A_structural,level,sqft,0.0,0.0,,,***,,,low,coefficient and SE printed as 0.000 (rounded to 3 decimals); not usable numerically,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Square feet,living_area,A_structural,level,sqft,0.0,0.0,,,***,,,low,coefficient and SE printed as 0.000 (rounded to 3 decimals); not usable numerically,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Square feet,living_area,A_structural,level,sqft,0.0,0.0,,,***,,,low,coefficient and SE printed as 0.000 (rounded to 3 decimals); not usable numerically,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Square feet,living_area,A_structural,level,sqft,0.0,0.0,,,***,,,low,coefficient and SE printed as 0.000 (rounded to 3 decimals); not usable numerically,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Square feet,living_area,A_structural,level,sqft,0.0,0.0,,,***,,,low,coefficient and SE printed as 0.000 (rounded to 3 decimals); not usable numerically,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Property age,age,A_structural,level,years,0.039,0.001,,,***,,,high,positive sign as printed; year built also included in the same model,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Property age,age,A_structural,level,years,0.039,0.001,,,***,,,high,positive sign as printed; year built also included in the same model,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Property age,age,A_structural,level,years,0.039,0.001,,,***,,,high,positive sign as printed; year built also included in the same model,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Property age,age,A_structural,level,years,0.039,0.001,,,***,,,high,positive sign as printed; year built also included in the same model,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Property age,age,A_structural,level,years,0.042,0.001,,,***,,,high,positive sign as printed; year built also included in the same model,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Property age,age,A_structural,level,years,0.042,0.001,,,***,,,high,positive sign as printed; year built also included in the same model,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Year built,age,A_structural,other,years,0.042,0.001,,,***,,,high,"year of construction (calendar year), not age; entered alongside property age",LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Year built,age,A_structural,other,years,0.042,0.001,,,***,,,high,"year of construction (calendar year), not age; entered alongside property age",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Year built,age,A_structural,other,years,0.042,0.001,,,***,,,high,"year of construction (calendar year), not age; entered alongside property age",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Year built,age,A_structural,other,years,0.042,0.001,,,***,,,high,"year of construction (calendar year), not age; entered alongside property age",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Year built,age,A_structural,other,years,0.044,0.002,,,***,,,high,"year of construction (calendar year), not age; entered alongside property age",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Year built,age,A_structural,other,years,0.044,0.001,,,***,,,high,"year of construction (calendar year), not age; entered alongside property age",LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Carport,garage,A_structural,binary,binary,0.066,0.017,,,***,,,high,carport indicator,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Carport,garage,A_structural,binary,binary,0.066,0.017,,,***,,,high,carport indicator,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Carport,garage,A_structural,binary,binary,0.066,0.017,,,***,,,high,carport indicator,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Carport,garage,A_structural,binary,binary,0.066,0.017,,,***,,,high,carport indicator,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Carport,garage,A_structural,binary,binary,0.066,0.017,,,***,,,high,carport indicator,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Carport,garage,A_structural,binary,binary,0.065,0.017,,,***,,,high,carport indicator,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Covered garage,garage,A_structural,binary,binary,0.074,0.008,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Covered garage,garage,A_structural,binary,binary,0.073,0.008,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Covered garage,garage,A_structural,binary,binary,0.073,0.008,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Covered garage,garage,A_structural,binary,binary,0.073,0.008,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Covered garage,garage,A_structural,binary,binary,0.073,0.008,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Covered garage,garage,A_structural,binary,binary,0.073,0.008,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,No pool,pool,C_exterior,binary,binary,0.088,0.04,,,**,,,high,"indicator for no pool, printed together with in-ground and above-ground pool indicators (reference category unclear)",LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,No pool,pool,C_exterior,binary,binary,0.089,0.04,,,**,,,high,"indicator for no pool, printed together with in-ground and above-ground pool indicators (reference category unclear)",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,No pool,pool,C_exterior,binary,binary,0.089,0.04,,,**,,,high,"indicator for no pool, printed together with in-ground and above-ground pool indicators (reference category unclear)",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,No pool,pool,C_exterior,binary,binary,0.089,0.04,,,**,,,high,"indicator for no pool, printed together with in-ground and above-ground pool indicators (reference category unclear)",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,No pool,pool,C_exterior,binary,binary,0.088,0.04,,,**,,,high,"indicator for no pool, printed together with in-ground and above-ground pool indicators (reference category unclear)",LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,No pool,pool,C_exterior,binary,binary,0.089,0.04,,,**,,,high,"indicator for no pool, printed together with in-ground and above-ground pool indicators (reference category unclear)",LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,In-ground pool,pool,C_exterior,binary,binary,0.105,0.04,,,**,,,high,reference category unclear (no-pool indicator also reported),LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,In-ground pool,pool,C_exterior,binary,binary,0.106,0.039,,,**,,,high,reference category unclear (no-pool indicator also reported),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,In-ground pool,pool,C_exterior,binary,binary,0.106,0.04,,,**,,,high,reference category unclear (no-pool indicator also reported),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,In-ground pool,pool,C_exterior,binary,binary,0.106,0.04,,,**,,,high,reference category unclear (no-pool indicator also reported),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,In-ground pool,pool,C_exterior,binary,binary,0.106,0.039,,,**,,,high,reference category unclear (no-pool indicator also reported),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,In-ground pool,pool,C_exterior,binary,binary,0.107,0.04,,,**,,,high,reference category unclear (no-pool indicator also reported),LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Above ground pool,pool,C_exterior,binary,binary,0.124,0.044,,,***,,,high,reference category unclear,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Above ground pool,pool,C_exterior,binary,binary,0.122,0.044,,,***,,,high,reference category unclear,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Above ground pool,pool,C_exterior,binary,binary,0.122,0.044,,,***,,,high,reference category unclear,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Above ground pool,pool,C_exterior,binary,binary,0.123,0.044,,,***,,,high,reference category unclear,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Above ground pool,pool,C_exterior,binary,binary,0.122,0.044,,,***,,,high,reference category unclear,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Above ground pool,pool,C_exterior,binary,binary,0.122,0.044,,,***,,,high,reference category unclear,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Townhouse,dwelling_type,A_structural,binary,binary,-0.213,0.022,,,***,,,high,townhouse vs other,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Townhouse,dwelling_type,A_structural,binary,binary,-0.21,0.022,,,***,,,high,townhouse vs other,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Townhouse,dwelling_type,A_structural,binary,binary,-0.21,0.022,,,***,,,high,townhouse vs other,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Townhouse,dwelling_type,A_structural,binary,binary,-0.21,0.022,,,***,,,high,townhouse vs other,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Townhouse,dwelling_type,A_structural,binary,binary,-0.21,0.022,,,***,,,high,townhouse vs other,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Townhouse,dwelling_type,A_structural,binary,binary,-0.21,0.022,,,***,,,high,townhouse vs other,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Condominium,dwelling_type,A_structural,binary,binary,-0.458,0.181,,,**,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Condominium,dwelling_type,A_structural,binary,binary,-0.457,0.181,,,**,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Condominium,dwelling_type,A_structural,binary,binary,-0.456,0.18,,,**,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Condominium,dwelling_type,A_structural,binary,binary,-0.457,0.18,,,**,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Condominium,dwelling_type,A_structural,binary,binary,-0.458,0.18,,,**,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Condominium,dwelling_type,A_structural,binary,binary,-0.458,0.18,,,**,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Subdivision,other,other,binary,binary,0.01,0.014,,,,,,high,located in a subdivision,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Subdivision,other,other,binary,binary,0.01,0.014,,,,,,high,located in a subdivision,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Subdivision,other,other,binary,binary,0.01,0.014,,,,,,high,located in a subdivision,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Subdivision,other,other,binary,binary,0.009,0.014,,,,,,high,located in a subdivision,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Subdivision,other,other,binary,binary,0.009,0.014,,,,,,high,located in a subdivision,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Subdivision,other,other,binary,binary,0.009,0.014,,,,,,high,located in a subdivision,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,Neighborhood,other,other,binary,binary,-0.041,0.058,,,*,,,medium,neighborhood association indicator; col1 SE printed 0.058 (inconsistent with star),LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,Neighborhood,other,other,binary,binary,-0.04,0.021,,,*,,,high,neighborhood association indicator; col1 SE printed 0.058 (inconsistent with star),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,Neighborhood,other,other,binary,binary,-0.04,0.021,,,*,,,high,neighborhood association indicator; col1 SE printed 0.058 (inconsistent with star),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,Neighborhood,other,other,binary,binary,-0.04,0.021,,,*,,,high,neighborhood association indicator; col1 SE printed 0.058 (inconsistent with star),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,Neighborhood,other,other,binary,binary,-0.04,0.021,,,*,,,high,neighborhood association indicator; col1 SE printed 0.058 (inconsistent with star),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,Neighborhood,other,other,binary,binary,-0.04,0.021,,,*,,,high,neighborhood association indicator; col1 SE printed 0.058 (inconsistent with star),LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,RING1,green_space,E_environment,dummy,binary (<=0.25 miles of greenline),0.002,0.021,,,,,,high,within 0.25 miles of a greenline; reference RING3 (0.51-1 mile),LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,RING1,green_space,E_environment,dummy,binary (<=0.25 miles of greenline),0.002,0.021,,,,,,high,within 0.25 miles of a greenline; reference RING3 (0.51-1 mile),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,RING1,green_space,E_environment,dummy,binary (<=0.25 miles of greenline),0.002,0.021,,,,,,high,within 0.25 miles of a greenline; reference RING3 (0.51-1 mile),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,RING1,green_space,E_environment,dummy,binary (<=0.25 miles of greenline),0.003,0.021,,,,,,high,within 0.25 miles of a greenline; reference RING3 (0.51-1 mile),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,RING1,green_space,E_environment,dummy,binary (<=0.25 miles of greenline),0.002,0.021,,,,,,high,within 0.25 miles of a greenline; reference RING3 (0.51-1 mile),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,RING1,green_space,E_environment,dummy,binary (<=0.25 miles of greenline),0.002,0.021,,,,,,high,within 0.25 miles of a greenline; reference RING3 (0.51-1 mile),LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c1,8,1,30,RING2,green_space,E_environment,dummy,binary (0.26-0.50 miles of greenline),0.021,0.014,,,,,,high,0.26-0.50 miles of a greenline; reference RING3,LNSP (natural log of sale price),log,OLS,18411.0,0.84,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,RING2,green_space,E_environment,dummy,binary (0.26-0.50 miles of greenline),0.021,0.014,,,,,,high,0.26-0.50 miles of a greenline; reference RING3,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,RING2,green_space,E_environment,dummy,binary (0.26-0.50 miles of greenline),0.021,0.014,,,,,,high,0.26-0.50 miles of a greenline; reference RING3,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,RING2,green_space,E_environment,dummy,binary (0.26-0.50 miles of greenline),0.02,0.014,,,,,,high,0.26-0.50 miles of a greenline; reference RING3,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,RING2,green_space,E_environment,dummy,binary (0.26-0.50 miles of greenline),0.02,0.014,,,,,,high,0.26-0.50 miles of a greenline; reference RING3,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,RING2,green_space,E_environment,dummy,binary (0.26-0.50 miles of greenline),0.02,0.014,,,,,,high,0.26-0.50 miles of a greenline; reference RING3,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,30,SFG,other,other,dummy,binary,0.006,0.017,,,,,,high,Shelby Farms Greenline area indicator (SFGE base); column alignment verified in PDF (cols 2-6),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,30,SFG,other,other,dummy,binary,0.007,0.017,,,,,,high,Shelby Farms Greenline area indicator (SFGE base); column alignment verified in PDF (cols 2-6),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,30,SFG,other,other,dummy,binary,0.006,0.017,,,,,,high,Shelby Farms Greenline area indicator (SFGE base); column alignment verified in PDF (cols 2-6),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,30,SFG,other,other,dummy,binary,0.005,0.017,,,,,,high,Shelby Farms Greenline area indicator (SFGE base); column alignment verified in PDF (cols 2-6),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,30,SFG,other,other,dummy,binary,0.005,0.018,,,,,,high,Shelby Farms Greenline area indicator (SFGE base); column alignment verified in PDF (cols 2-6),LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c2,8,2,31,WR,other,other,dummy,binary,0.048,0.037,,,,,,high,Wolf River Greenline area indicator (SFGE base),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,31,WR,other,other,dummy,binary,0.048,0.038,,,,,,high,Wolf River Greenline area indicator (SFGE base),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,31,WR,other,other,dummy,binary,0.048,0.037,,,,,,high,Wolf River Greenline area indicator (SFGE base),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,31,WR,other,other,dummy,binary,0.047,0.037,,,,,,high,Wolf River Greenline area indicator (SFGE base),LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,31,WR,other,other,dummy,binary,0.048,0.038,,,,,,high,Wolf River Greenline area indicator (SFGE base),LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c3,8,3,31,Log Violent crime density,crime,F_neighbourhood,log,"crimes per square mile at census-tract level, natural log",0.007,0.028,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,31,Log Violent crime density,crime,F_neighbourhood,log,"crimes per square mile at census-tract level, natural log",0.026,0.027,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c4,8,4,31,Log Property crime density,crime,F_neighbourhood,log,"crimes per square mile at census-tract level, natural log",-0.006,0.015,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,31,Log Property crime density,crime,F_neighbourhood,log,"crimes per square mile at census-tract level, natural log",-0.004,0.013,,,,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c5,8,5,31,Log Other crime density,crime,F_neighbourhood,log,"crimes per square mile at census-tract level, natural log",-0.04,0.017,,,**,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T8-c6,8,6,31,Log Other crime density,crime,F_neighbourhood,log,"crimes per square mile at census-tract level, natural log",-0.047,0.017,,,***,,,high,,LNSP (natural log of sale price),log,OLS,18411.0,0.842,se,"Full sample; adj. R2; year and census-tract FE; col1 no greenline dummies, col2 + SFG/WR, col3 + violent crime, col4 + property crime, col5 + other crime, col6 all three crime densities"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c1,6,1,22,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.006,0.035,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c1,6,1,22,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.031,0.027,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,18411.0,0.841,se,"Full sample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c2,6,2,22,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.008,0.043,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,1806.0,0.904,se,"WR (Wolf River Greenline) subsample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c2,6,2,22,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.029,0.039,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,1806.0,0.904,se,"WR (Wolf River Greenline) subsample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c3,6,3,22,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.11,0.04,,,**,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,11438.0,0.83,se,"SFG (Shelby Farms Greenline) subsample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c3,6,3,22,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.126,0.025,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,11438.0,0.83,se,"SFG (Shelby Farms Greenline) subsample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c4,6,4,22,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.03,0.028,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,5167.0,0.855,se,"SFGE (Shelby Farms Greenway Extension) subsample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T6-c4,6,4,22,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.018,0.01,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect,LNSP (natural log of sale price),log,OLS,5167.0,0.855,se,"SFGE (Shelby Farms Greenway Extension) subsample; baseline DiD, property/neighborhood controls not shown; year and tract FE"
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c1,7,1,23,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.243,0.046,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c1,7,1,23,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.287,0.038,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c1,7,1,23,Log Property crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",-0.057,0.014,,,***,,,high,log crime density main effect; model also includes crime x Post and RING x crime x Post interactions (not extracted),LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c2,7,2,23,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.164,0.065,,,*,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c2,7,2,23,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.08,0.038,,,*,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c2,7,2,23,Log Property crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",0.024,0.015,,,,,,high,log crime density main effect; model also includes crime x Post and RING x crime x Post interactions (not extracted),LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c3,7,3,23,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.235,0.138,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c3,7,3,23,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.304,0.142,,,**,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c3,7,3,23,Log Property crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",-0.108,0.031,,,***,,,high,log crime density main effect; model also includes crime x Post and RING x crime x Post interactions (not extracted),LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c4,7,4,23,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.153,0.078,,,*,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c4,7,4,23,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.181,0.047,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log property crime density,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T7-c4,7,4,23,Log Property crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",0.002,0.016,,,,,,high,log crime density main effect; model also includes crime x Post and RING x crime x Post interactions (not extracted),LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with property crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c1,9,1,32,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.204,0.034,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c1,9,1,32,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.234,0.027,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c1,9,1,32,Log Violent crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",-0.044,0.025,,,*,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c2,9,2,32,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.151,0.094,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c2,9,2,32,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.082,0.047,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c2,9,2,32,Log Violent crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",0.025,0.014,,,,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c3,9,3,32,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.156,0.147,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c3,9,3,32,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.218,0.143,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c3,9,3,32,Log Violent crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",-0.014,0.038,,,,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c4,9,4,32,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.146,0.075,,,*,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c4,9,4,32,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.145,0.047,,,**,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log violent crime density,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T9-c4,9,4,32,Log Violent crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",0.008,0.026,,,,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with violent crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c1,10,1,33,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.123,0.021,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c1,10,1,33,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.145,0.019,,,***,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c1,10,1,33,Log Other crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",-0.075,0.014,,,***,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,18411.0,0.843,se,Full sample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c2,10,2,33,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.054,0.039,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c2,10,2,33,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),0.006,0.057,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c2,10,2,33,Log Other crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",0.016,0.021,,,,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,1806.0,0.905,se,WR (Wolf River Greenline) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c3,10,3,33,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.144,0.113,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c3,10,3,33,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.193,0.112,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c3,10,3,33,Log Other crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",-0.092,0.032,,,***,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,11438.0,0.831,se,SFG (Shelby Farms Greenline) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c4,10,4,33,RING1,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.07,0.05,,,,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c4,10,4,33,RING2,green_space,E_environment,other,binary (RING1 <=0.25 mi; RING2 0.26-0.50 mi),-0.086,0.039,,,*,,,high,DiD specification with RING x Post interactions (not extracted); coefficient is the pre-opening proximity effect; also interacted with log other crime density,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384,7f45f70c2c2271b7539c0915321311343666b384:T10-c4,10,4,33,Log Other crime density,crime,F_neighbourhood,other,"crimes per square mile at census-tract level, natural log",-0.039,0.018,,,*,,,high,log crime density main effect; interactions with Post and RINGs not extracted,LNSP (natural log of sale price),log,OLS,5167.0,0.856,se,SFGE (Shelby Farms Greenway Extension) subsample; extended DiD with other crime interactions; adj. R2; controls not shown; year and tract FE
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,D_TR,flood_risk,E_environment,binary,binary,0.214,,5.01,,***,,,high,"Treatment group: house within radius of roads inundated by the 30 Sep 2017 pluvial flood (flood exposure indicator); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,D_POST X D_TR,flood_risk,E_environment,other,binary,-0.139,,-2.62,,***,,,high,"Difference-in-differences interaction: post-flood x flood-affected treatment group; authors' headline flood discount (~9%); interaction term (x_transform other); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,CBD (km),cbd_distance,D_location,level,km,-0.129,,-6.31,,***,,,high,"Geodesic distance to District 1 (city centre); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,Traffic_congestion (km),other,other,level,km,0.067,,2.52,,**,,,high,"Distance to nearest traffic congestion point; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,Nearest_river (km),water_proximity,E_environment,level,km,-0.041,,-0.81,,,,,high,"Distance to nearest river; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,Large_parks (km),green_space,E_environment,level,km,-0.144,,-4.58,,***,,,high,"Distance to large parks; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,Hospital (1 km),hospital_distance,D_location,binary,binary,0.02,,0.49,,,,,high,"1 if a hospital within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,School (1 km),school_distance,D_location,binary,binary,0.314,,11.73,,***,,,high,"1 if a school within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,Area (m2),living_area,A_structural,level,m2,0.006,,33.09,,***,,,high,"Floor area in square metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,Number_of_bedrooms,bedrooms,A_structural,level,count,0.017,,1.05,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,16,Number_of_bathrooms,bathrooms,A_structural,level,count,0.091,,5.76,,***,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Floor_level,floor_level,A_structural,level,count,-0.01,,-7.01,,***,,,high,"Floor level of the unit (0-38); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,FRW (m),other,other,level,m,0.003,,3.13,,***,,,high,"Front road width in metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Secured_area,other,other,binary,binary,0.172,,5.26,,***,,,high,"1 if inside a secured (gated/guarded) area; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Balcony_or_Terrace,terrace_balcony,C_exterior,binary,binary,-0.02,,-0.47,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Fiber_Internet,other,other,binary,binary,-0.147,,-4.12,,***,,,high,"1 if fibre internet installed; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Fully_furnished,other,other,binary,binary,-0.014,,-0.38,,,,,high,"1 if fully furnished; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Garden,garden,C_exterior,binary,binary,0.05,,1.2,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Swimming_pool,pool,C_exterior,binary,binary,-0.314,,-7.88,,***,,,high,"Private or shared (apartment) pool; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Washing_machine,appliances,B_interior,binary,binary,0.084,,2.25,,**,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Legal status: 1(building permit),other,other,binary,binary,0.001,,0.01,,,,,high,"Legal status dummy (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Legal status: 2(red book),other,other,binary,binary,0.176,,3.61,,***,,,high,"Land-use-rights certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,17,Legal status: 3 (pink book),other,other,binary,binary,0.186,,6.42,,***,,,high,"Land-use rights + house ownership certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 1 (north),sunlight,E_environment,binary,binary,0.165,,3.1,,***,,,high,"Orientation the house faces (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 2 (northeast),sunlight,E_environment,binary,binary,0.094,,1.44,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 3 (east),sunlight,E_environment,binary,binary,-0.084,,-1.45,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 4 (southeast),sunlight,E_environment,binary,binary,0.076,,1.64,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 5 (south),sunlight,E_environment,binary,binary,0.108,,2.5,,**,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 6 (southwest),sunlight,E_environment,binary,binary,0.281,,3.25,,***,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 7 (west),sunlight,E_environment,binary,binary,0.255,,3.7,,***,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c1,6,1,18,Direction: 8 (northwest),sunlight,E_environment,binary,binary,0.119,,1.68,,*,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,OLS,2367.0,0.647,t,"OLS model, Eq. (2); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,D_TR,flood_risk,E_environment,binary,binary,0.19,,4.51,,***,,,high,"Treatment group: house within radius of roads inundated by the 30 Sep 2017 pluvial flood (flood exposure indicator); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,D_POST X D_TR,flood_risk,E_environment,other,binary,-0.155,,-3.43,,***,,,high,"Difference-in-differences interaction: post-flood x flood-affected treatment group; authors' headline flood discount (~9%); interaction term (x_transform other); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,CBD (km),cbd_distance,D_location,level,km,-0.195,,-5.95,,***,,,high,"Geodesic distance to District 1 (city centre); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,Traffic_congestion (km),other,other,level,km,0.07,,1.73,,*,,,high,"Distance to nearest traffic congestion point; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,Nearest_river (km),water_proximity,E_environment,level,km,-0.274,,-3.79,,***,,,high,"Distance to nearest river; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,Large_parks (km),green_space,E_environment,level,km,-0.372,,-8.4,,***,,,high,"Distance to large parks; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,Hospital (1 km),hospital_distance,D_location,binary,binary,0.032,,0.7,,,,,high,"1 if a hospital within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,School (1 km),school_distance,D_location,binary,binary,0.37,,10.74,,***,,,high,"1 if a school within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,Area (m2),living_area,A_structural,level,m2,0.005,,29.35,,***,,,high,"Floor area in square metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,Number_of_bedrooms,bedrooms,A_structural,level,count,0.039,,2.77,,***,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,16,Number_of_bathrooms,bathrooms,A_structural,level,count,0.049,,3.63,,***,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Floor_level,floor_level,A_structural,level,count,-0.006,,-4.86,,***,,,high,"Floor level of the unit (0-38); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,FRW (m),other,other,level,m,0.002,,3.02,,***,,,high,"Front road width in metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Secured_area,other,other,binary,binary,0.143,,5.24,,***,,,high,"1 if inside a secured (gated/guarded) area; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Balcony_or_Terrace,terrace_balcony,C_exterior,binary,binary,0.022,,0.62,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Fiber_Internet,other,other,binary,binary,-0.112,,-3.79,,***,,,high,"1 if fibre internet installed; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Fully_furnished,other,other,binary,binary,-0.012,,-0.37,,,,,high,"1 if fully furnished; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Garden,garden,C_exterior,binary,binary,0.037,,1.06,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Swimming_pool,pool,C_exterior,binary,binary,-0.286,,-8.38,,***,,,high,"Private or shared (apartment) pool; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Washing_machine,appliances,B_interior,binary,binary,0.094,,3.0,,***,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Legal status: 1(building permit),other,other,binary,binary,-0.012,,-0.24,,,,,high,"Legal status dummy (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Legal status: 2(red book),other,other,binary,binary,0.162,,3.95,,***,,,high,"Land-use-rights certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,17,Legal status: 3 (pink book),other,other,binary,binary,0.114,,4.65,,***,,,high,"Land-use rights + house ownership certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 1 (north),sunlight,E_environment,binary,binary,0.084,,1.88,,*,,,high,"Orientation the house faces (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 2 (northeast),sunlight,E_environment,binary,binary,0.111,,2.05,,**,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 3 (east),sunlight,E_environment,binary,binary,0.032,,0.67,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 4 (southeast),sunlight,E_environment,binary,binary,0.086,,2.2,,**,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 5 (south),sunlight,E_environment,binary,binary,0.039,,1.07,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 6 (southwest),sunlight,E_environment,binary,binary,0.195,,2.71,,***,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 7 (west),sunlight,E_environment,binary,binary,0.241,,4.21,,***,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c2,6,2,18,Direction: 8 (northwest),sunlight,E_environment,binary,binary,0.14,,2.36,,**,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.598,t,"SEM model, Eq. (3); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,D_TR,flood_risk,E_environment,binary,binary,0.213,,5.02,,***,,,high,"Treatment group: house within radius of roads inundated by the 30 Sep 2017 pluvial flood (flood exposure indicator); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,D_POST X D_TR,flood_risk,E_environment,other,binary,-0.119,,-2.23,,**,,,high,"Difference-in-differences interaction: post-flood x flood-affected treatment group; authors' headline flood discount (~9%); interaction term (x_transform other); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,CBD (km),cbd_distance,D_location,level,km,-0.139,,-6.79,,***,,,high,"Geodesic distance to District 1 (city centre); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,Traffic_congestion (km),other,other,level,km,0.094,,3.42,,***,,,high,"Distance to nearest traffic congestion point; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,Nearest_river (km),water_proximity,E_environment,level,km,0.013,,0.24,,,,,high,"Distance to nearest river; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,Large_parks (km),green_space,E_environment,level,km,-0.177,,-5.46,,***,,,high,"Distance to large parks; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,Hospital (1 km),hospital_distance,D_location,binary,binary,0.026,,0.62,,,,,high,"1 if a hospital within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,School (1 km),school_distance,D_location,binary,binary,0.332,,12.24,,***,,,high,"1 if a school within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,Area (m2),living_area,A_structural,level,m2,0.006,,32.93,,***,,,high,"Floor area in square metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,Number_of_bedrooms,bedrooms,A_structural,level,count,0.018,,1.09,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,16,Number_of_bathrooms,bathrooms,A_structural,level,count,0.084,,5.3,,***,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Floor_level,floor_level,A_structural,level,count,-0.01,,-6.63,,***,,,high,"Floor level of the unit (0-38); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,FRW (m),other,other,level,m,0.002,,2.95,,***,,,high,"Front road width in metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Secured_area,other,other,binary,binary,0.166,,5.08,,***,,,high,"1 if inside a secured (gated/guarded) area; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Balcony_or_Terrace,terrace_balcony,C_exterior,binary,binary,-0.023,,-0.56,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Fiber_Internet,other,other,binary,binary,-0.146,,-4.12,,***,,,high,"1 if fibre internet installed; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Fully_furnished,other,other,binary,binary,-0.008,,-0.21,,,,,high,"1 if fully furnished; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Garden,garden,C_exterior,binary,binary,0.053,,1.27,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Swimming_pool,pool,C_exterior,binary,binary,-0.294,,-7.33,,***,,,high,"Private or shared (apartment) pool; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Washing_machine,appliances,B_interior,binary,binary,0.081,,2.17,,**,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Legal status: 1(building permit),other,other,binary,binary,-0.009,,-0.16,,,,,high,"Legal status dummy (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Legal status: 2(red book),other,other,binary,binary,0.136,,2.74,,***,,,high,"Land-use-rights certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,17,Legal status: 3 (pink book),other,other,binary,binary,0.174,,6.01,,***,,,high,"Land-use rights + house ownership certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 1 (north),sunlight,E_environment,binary,binary,0.142,,2.66,,***,,,high,"Orientation the house faces (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 2 (northeast),sunlight,E_environment,binary,binary,0.073,,1.13,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 3 (east),sunlight,E_environment,binary,binary,-0.12,,-2.04,,**,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 4 (southeast),sunlight,E_environment,binary,binary,0.062,,1.33,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 5 (south),sunlight,E_environment,binary,binary,0.1,,2.32,,**,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 6 (southwest),sunlight,E_environment,binary,binary,0.26,,3.01,,***,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 7 (west),sunlight,E_environment,binary,binary,0.211,,3.02,,***,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c3,6,3,18,Direction: 8 (northwest),sunlight,E_environment,binary,binary,0.089,,1.26,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_lag,2367.0,0.647,t,"SAR model, Eq. (4); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,D_TR,flood_risk,E_environment,binary,binary,0.082,,1.83,,*,,,high,"Treatment group: house within radius of roads inundated by the 30 Sep 2017 pluvial flood (flood exposure indicator); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,D_POST X D_TR,flood_risk,E_environment,other,binary,-0.116,,-2.19,,**,,,high,"Difference-in-differences interaction: post-flood x flood-affected treatment group; authors' headline flood discount (~9%); interaction term (x_transform other); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,CBD (km),cbd_distance,D_location,level,km,-0.112,,-5.56,,***,,,high,"Geodesic distance to District 1 (city centre); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,Traffic_congestion (km),other,other,level,km,0.052,,1.97,,**,,,high,"Distance to nearest traffic congestion point; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,Nearest_river (km),water_proximity,E_environment,level,km,-0.03,,-0.56,,,,,high,"Distance to nearest river; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,Large_parks (km),green_space,E_environment,level,km,-0.105,,-3.25,,***,,,high,"Distance to large parks; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,Hospital (1 km),hospital_distance,D_location,binary,binary,-0.16,,-3.21,,***,,,high,"1 if a hospital within 1 km; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,School (1 km),school_distance,D_location,binary,binary,0.355,,12.45,,***,,,high,"1 if a school within 1 km; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,Area (m2),living_area,A_structural,level,m2,0.006,,32.98,,***,,,high,"Floor area in square metres; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,Number_of_bedrooms,bedrooms,A_structural,level,count,0.022,,1.32,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,16,Number_of_bathrooms,bathrooms,A_structural,level,count,0.074,,4.68,,***,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Floor_level,floor_level,A_structural,level,count,-0.009,,-6.52,,***,,,high,"Floor level of the unit (0-38); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,FRW (m),other,other,level,m,0.002,,2.52,,**,,,high,"Front road width in metres; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Secured_area,other,other,binary,binary,0.156,,4.83,,***,,,high,"1 if inside a secured (gated/guarded) area; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Balcony_or_Terrace,terrace_balcony,C_exterior,binary,binary,-0.046,,-1.12,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Fiber_Internet,other,other,binary,binary,-0.127,,-3.62,,***,,,high,"1 if fibre internet installed; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Fully_furnished,other,other,binary,binary,-0.038,,-1.01,,,,,high,"1 if fully furnished; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Garden,garden,C_exterior,binary,binary,0.054,,1.32,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Swimming_pool,pool,C_exterior,binary,binary,-0.226,,-5.57,,***,,,high,"Private or shared (apartment) pool; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Washing_machine,appliances,B_interior,binary,binary,0.074,,1.99,,**,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Legal status: 1(building permit),other,other,binary,binary,-0.015,,-0.27,,,,,high,"Legal status dummy (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Legal status: 2(red book),other,other,binary,binary,0.067,,1.33,,,,,high,"Land-use-rights certificate (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,17,Legal status: 3 (pink book),other,other,binary,binary,0.155,,5.38,,***,,,high,"Land-use rights + house ownership certificate (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 1 (north),sunlight,E_environment,binary,binary,0.127,,2.4,,**,,,high,"Orientation the house faces (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 2 (northeast),sunlight,E_environment,binary,binary,0.087,,1.35,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 3 (east),sunlight,E_environment,binary,binary,-0.133,,-2.27,,**,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 4 (southeast),sunlight,E_environment,binary,binary,0.052,,1.13,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 5 (south),sunlight,E_environment,binary,binary,0.086,,2.0,,**,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 6 (southwest),sunlight,E_environment,binary,binary,0.23,,2.69,,***,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 7 (west),sunlight,E_environment,binary,binary,0.196,,2.83,,***,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c4,6,4,18,Direction: 8 (northwest),sunlight,E_environment,binary,binary,0.041,,0.58,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.658,t,"SLX model, Eq. (5); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,D_TR,flood_risk,E_environment,binary,binary,0.104,,2.21,,**,,,high,"Treatment group: house within radius of roads inundated by the 30 Sep 2017 pluvial flood (flood exposure indicator); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,D_POST X D_TR,flood_risk,E_environment,other,binary,-0.123,,-2.31,,**,,,high,"Difference-in-differences interaction: post-flood x flood-affected treatment group; authors' headline flood discount (~9%); interaction term (x_transform other); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,CBD (km),cbd_distance,D_location,level,km,-0.127,,-5.76,,***,,,high,"Geodesic distance to District 1 (city centre); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,Traffic_congestion (km),other,other,level,km,0.076,,2.5,,**,,,high,"Distance to nearest traffic congestion point; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,Nearest_river (km),water_proximity,E_environment,level,km,-0.044,,-0.81,,,,,high,"Distance to nearest river; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,Large_parks (km),green_space,E_environment,level,km,-0.128,,-3.65,,***,,,high,"Distance to large parks; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,Hospital (1 km),hospital_distance,D_location,binary,binary,-0.152,,-3.03,,***,,,high,"1 if a hospital within 1 km; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,School (1 km),school_distance,D_location,binary,binary,0.365,,12.49,,***,,,high,"1 if a school within 1 km; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,Area (m2),living_area,A_structural,level,m2,0.006,,32.96,,***,,,high,"Floor area in square metres; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,Number_of_bedrooms,bedrooms,A_structural,level,count,0.022,,1.38,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,16,Number_of_bathrooms,bathrooms,A_structural,level,count,0.072,,4.56,,***,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Floor_level,floor_level,A_structural,level,count,-0.009,,-6.34,,***,,,high,"Floor level of the unit (0-38); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,FRW (m),other,other,level,m,0.002,,2.53,,**,,,high,"Front road width in metres; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Secured_area,other,other,binary,binary,0.156,,4.84,,***,,,high,"1 if inside a secured (gated/guarded) area; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Balcony_or_Terrace,terrace_balcony,C_exterior,binary,binary,-0.046,,-1.1,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Fiber_Internet,other,other,binary,binary,-0.126,,-3.58,,***,,,high,"1 if fibre internet installed; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Fully_furnished,other,other,binary,binary,-0.034,,-0.92,,,,,high,"1 if fully furnished; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Garden,garden,C_exterior,binary,binary,0.052,,1.28,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Swimming_pool,pool,C_exterior,binary,binary,-0.228,,-5.61,,***,,,high,"Private or shared (apartment) pool; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Washing_machine,appliances,B_interior,binary,binary,0.073,,1.96,,*,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Legal status: 1(building permit),other,other,binary,binary,-0.013,,-0.22,,,,,high,"Legal status dummy (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Legal status: 2(red book),other,other,binary,binary,0.064,,1.28,,,,,high,"Land-use-rights certificate (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,17,Legal status: 3 (pink book),other,other,binary,binary,0.155,,5.36,,***,,,high,"Land-use rights + house ownership certificate (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 1 (north),sunlight,E_environment,binary,binary,0.123,,2.34,,**,,,high,"Orientation the house faces (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 2 (northeast),sunlight,E_environment,binary,binary,0.089,,1.38,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 3 (east),sunlight,E_environment,binary,binary,-0.133,,-2.28,,**,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 4 (southeast),sunlight,E_environment,binary,binary,0.052,,1.13,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 5 (south),sunlight,E_environment,binary,binary,0.084,,1.95,,*,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 6 (southwest),sunlight,E_environment,binary,binary,0.23,,2.69,,***,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 7 (west),sunlight,E_environment,binary,binary,0.193,,2.8,,***,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c5,6,5,18,Direction: 8 (northwest),sunlight,E_environment,binary,binary,0.039,,0.56,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,other,2367.0,0.656,t,"SDM model, Eq. (6); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,D_TR,flood_risk,E_environment,binary,binary,0.029,,0.66,,,,,high,"Treatment group: house within radius of roads inundated by the 30 Sep 2017 pluvial flood (flood exposure indicator); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,D_POST X D_TR,flood_risk,E_environment,other,binary,-0.079,,-1.84,,*,,,high,"Difference-in-differences interaction: post-flood x flood-affected treatment group; authors' headline flood discount (~9%); interaction term (x_transform other); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,CBD (km),cbd_distance,D_location,level,km,-0.138,,-4.75,,***,,,high,"Geodesic distance to District 1 (city centre); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,Traffic_congestion (km),other,other,level,km,0.052,,1.44,,,,,high,"Distance to nearest traffic congestion point; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,Nearest_river (km),water_proximity,E_environment,level,km,-0.031,,-0.41,,,,,high,"Distance to nearest river; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,Large_parks (km),green_space,E_environment,level,km,-0.322,,-7.48,,***,,,high,"Distance to large parks; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,Hospital (1 km),hospital_distance,D_location,binary,binary,-0.045,,-0.73,,,,,high,"1 if a hospital within 1 km; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,School (1 km),school_distance,D_location,binary,binary,0.372,,9.62,,***,,,high,"1 if a school within 1 km; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,Area (m2),living_area,A_structural,level,m2,0.004,,28.22,,***,,,high,"Floor area in square metres; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,Number_of_bedrooms,bedrooms,A_structural,level,count,0.057,,4.27,,***,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,16,Number_of_bathrooms,bathrooms,A_structural,level,count,0.007,,0.56,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Floor_level,floor_level,A_structural,level,count,-0.005,,-3.83,,***,,,high,"Floor level of the unit (0-38); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,FRW (m),other,other,level,m,0.001,,1.38,,,,,high,"Front road width in metres; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Secured_area,other,other,binary,binary,0.104,,3.98,,***,,,high,"1 if inside a secured (gated/guarded) area; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Balcony_or_Terrace,terrace_balcony,C_exterior,binary,binary,-0.004,,-0.12,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Fiber_Internet,other,other,binary,binary,-0.099,,-3.5,,***,,,high,"1 if fibre internet installed; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Fully_furnished,other,other,binary,binary,-0.011,,-0.35,,,,,high,"1 if fully furnished; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Garden,garden,C_exterior,binary,binary,0.032,,0.98,,,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Swimming_pool,pool,C_exterior,binary,binary,-0.135,,-3.98,,***,,,high,"Private or shared (apartment) pool; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Washing_machine,appliances,B_interior,binary,binary,0.074,,2.48,,**,,,high,"; spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Legal status: 1(building permit),other,other,binary,binary,-0.056,,-1.2,,,,,high,"Legal status dummy (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Legal status: 2(red book),other,other,binary,binary,-0.018,,-0.45,,,,,high,"Land-use-rights certificate (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,17,Legal status: 3 (pink book),other,other,binary,binary,0.051,,2.17,,**,,,high,"Land-use rights + house ownership certificate (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 1 (north),sunlight,E_environment,binary,binary,0.014,,0.34,,,,,high,"Orientation the house faces (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 2 (northeast),sunlight,E_environment,binary,binary,0.053,,1.03,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 3 (east),sunlight,E_environment,binary,binary,-0.069,,-1.46,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 4 (southeast),sunlight,E_environment,binary,binary,0.055,,1.47,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 5 (south),sunlight,E_environment,binary,binary,0.003,,0.1,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 6 (southwest),sunlight,E_environment,binary,binary,0.116,,1.7,,*,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 7 (west),sunlight,E_environment,binary,binary,0.108,,1.96,,**,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c6,6,6,18,Direction: 8 (northwest),sunlight,E_environment,binary,binary,0.061,,1.07,,,,,high,"Orientation (base: unknown); spatial Durbin/SLX type model, coefficient of X (not W*X); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,spatial_error,2367.0,0.571,t,"SDEM model, Eq. (7); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,D_TR,flood_risk,E_environment,binary,binary,0.184,,4.52,,***,,,high,"Treatment group: house within radius of roads inundated by the 30 Sep 2017 pluvial flood (flood exposure indicator); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,D_POST X D_TR,flood_risk,E_environment,other,binary,-0.091,,-2.08,,**,,,high,"Difference-in-differences interaction: post-flood x flood-affected treatment group; authors' headline flood discount (~9%); interaction term (x_transform other); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,CBD (km),cbd_distance,D_location,level,km,-0.191,,-6.54,,***,,,high,"Geodesic distance to District 1 (city centre); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,Traffic_congestion (km),other,other,level,km,0.163,,4.42,,***,,,high,"Distance to nearest traffic congestion point; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,Nearest_river (km),water_proximity,E_environment,level,km,0.067,,0.91,,,,,high,"Distance to nearest river; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,Large_parks (km),green_space,E_environment,level,km,-0.483,,-11.72,,***,,,high,"Distance to large parks; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,Hospital (1 km),hospital_distance,D_location,binary,binary,0.117,,2.7,,***,,,high,"1 if a hospital within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,School (1 km),school_distance,D_location,binary,binary,0.355,,11.03,,***,,,high,"1 if a school within 1 km; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,Area (m2),living_area,A_structural,level,m2,0.004,,28.67,,***,,,high,"Floor area in square metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,Number_of_bedrooms,bedrooms,A_structural,level,count,0.057,,4.23,,***,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,16,Number_of_bathrooms,bathrooms,A_structural,level,count,0.014,,1.06,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Floor_level,floor_level,A_structural,level,count,-0.005,,-3.97,,***,,,high,"Floor level of the unit (0-38); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,FRW (m),other,other,level,m,0.001,,1.7,,*,,,high,"Front road width in metres; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Secured_area,other,other,binary,binary,0.116,,4.37,,***,,,high,"1 if inside a secured (gated/guarded) area; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Balcony_or_Terrace,terrace_balcony,C_exterior,binary,binary,0.007,,0.21,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Fiber_Internet,other,other,binary,binary,-0.109,,-3.8,,***,,,high,"1 if fibre internet installed; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Fully_furnished,other,other,binary,binary,0.006,,0.19,,,,,high,"1 if fully furnished; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Garden,garden,C_exterior,binary,binary,0.033,,0.98,,,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Swimming_pool,pool,C_exterior,binary,binary,-0.185,,-5.49,,***,,,high,"Private or shared (apartment) pool; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Washing_machine,appliances,B_interior,binary,binary,0.08,,2.62,,***,,,high,"; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Legal status: 1(building permit),other,other,binary,binary,-0.042,,-0.9,,,,,high,"Legal status dummy (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Legal status: 2(red book),other,other,binary,binary,0.042,,1.04,,,,,high,"Land-use-rights certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,17,Legal status: 3 (pink book),other,other,binary,binary,0.075,,3.16,,***,,,high,"Land-use rights + house ownership certificate (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 1 (north),sunlight,E_environment,binary,binary,0.028,,0.64,,,,,high,"Orientation the house faces (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 2 (northeast),sunlight,E_environment,binary,binary,0.053,,1.01,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 3 (east),sunlight,E_environment,binary,binary,-0.049,,-1.04,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 4 (southeast),sunlight,E_environment,binary,binary,0.056,,1.47,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 5 (south),sunlight,E_environment,binary,binary,0.016,,0.46,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 6 (southwest),sunlight,E_environment,binary,binary,0.126,,1.8,,*,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 7 (west),sunlight,E_environment,binary,binary,0.13,,2.32,,**,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T6-c7,6,7,18,Direction: 8 (northwest),sunlight,E_environment,binary,binary,0.069,,1.2,,,,,high,"Orientation (base: unknown); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,0.599,t,"SAC model, Eq. (8); listings July 2017-January 2018 (Oct. missing), District 7 HCMC, houses on arterial roads; direct (own-coefficient) estimates; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T7-total,7,Total effect,22,D_TR,flood_risk,E_environment,binary,binary,0.191,,4.52,,***,,,high,"Total effect of treatment-group indicator (direct 0.184 + spillover 0.007); stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,,t,SAC decomposition: total effect (direct + spillover) of flood DiD variables; same sample as Table 6
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T7-total,7,Total effect,22,D_POST × D_TR,flood_risk,E_environment,other,binary,-0.094,,-2.08,,**,,,high,"Total effect of DiD interaction (direct -0.091 + spillover -0.003); interaction term; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,2367.0,,t,SAC decomposition: total effect (direct + spillover) of flood DiD variables; same sample as Table 6
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c5m,8,5 months,24,D_TR = 1,flood_risk,E_environment,binary,binary,0.324,,12.9,,***,,,high,"Flood-affected treatment group indicator; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,3780.0,0.747,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 5 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c5m,8,5 months,24,D_TR = 1 X D_POST_5m = 1,flood_risk,E_environment,other,binary,0.03,,1.28,,,,,high,"DiD interaction (post window x treatment), interaction term; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,3780.0,0.747,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 5 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c6m,8,6 months,24,D_TR = 1,flood_risk,E_environment,binary,binary,0.306,,12.54,,***,,,high,"Flood-affected treatment group indicator; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,4389.0,0.751,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 6 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c6m,8,6 months,24,D_TR = 1 X D_POST_6m = 1,flood_risk,E_environment,other,binary,0.036,,1.59,,,,,high,"DiD interaction (post window x treatment), interaction term; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,4389.0,0.751,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 6 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c7m,8,7 months,24,D_TR = 1,flood_risk,E_environment,binary,binary,0.3,,12.18,,***,,,high,"Flood-affected treatment group indicator; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,4850.0,0.752,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 7 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c7m,8,7 months,24,D_TR = 1 X D_POST_7m = 1,flood_risk,E_environment,other,binary,0.045,,1.96,,**,,,high,"DiD interaction (post window x treatment), interaction term; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,4850.0,0.752,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 7 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c8m,8,8 months,24,D_TR = 1,flood_risk,E_environment,binary,binary,0.323,,13.87,,***,,,high,"Flood-affected treatment group indicator; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,5644.0,0.764,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 8 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c8m,8,8 months,24,D_TR = 1 X D_POST_8m = 1,flood_risk,E_environment,other,binary,0.051,,2.25,,**,,,high,"DiD interaction (post window x treatment), interaction term; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,5644.0,0.764,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 8 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c9m,8,9 months,24,D_TR = 1,flood_risk,E_environment,binary,binary,0.32,,13.96,,***,,,high,"Flood-affected treatment group indicator; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,6117.0,0.768,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 9 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c9m,8,9 months,24,D_TR = 1 X D_POST_9m = 1,flood_risk,E_environment,other,binary,0.05,,2.25,,**,,,high,"DiD interaction (post window x treatment), interaction term; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,6117.0,0.768,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 9 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c10m,8,10 months,24,D_TR = 1,flood_risk,E_environment,binary,binary,0.319,,13.98,,***,,,high,"Flood-affected treatment group indicator; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,6183.0,0.77,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 10 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d,819ec939f0241cca8513d3a72e45a56254da737d:T8-c10m,8,10 months,24,D_TR = 1 X D_POST_10m = 1,flood_risk,E_environment,other,binary,0.05,,2.23,,**,,,high,"DiD interaction (post window x treatment), interaction term; stars: * p<0.10, ** p<0.05, *** p<0.01",Ln_Price: natural log of listing price (VND),log,SAC,6183.0,0.77,t,"Price-recovery SAC model, Panel A direct effects; post period extended to 10 months after the 30 Sep 2017 flood; other controls (location, structure, neighbourhood, facilities, direction, legal status) included but not reported; pseudo R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,Ln_PARCEL_AREA,lot_size,A_structural,log,m2,0.761,,9.7,,***,,,high,Log parcel area (sq m),Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M2,3,Model 2,8,Ln_PARCEL_AREA,lot_size,A_structural,log,m2,0.913,,8.74,,***,,,high,"Log parcel area (sq m); model includes Ln_PARCEL_AREA x DESIGNATED interaction, main effect refers to non-designated buildings",Ln nominal selling price of the building (NIS),log,OLS,63.0,0.869,t,All buildings; includes interactions Ln_PARCEL_AREA x DESIGNATED and Ln_BUILD_%_USED x DESIGNATED; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M3,3,Model 3,8,Ln_PARCEL_AREA,lot_size,A_structural,log,m2,1.014,,11.49,,***,,,high,"Log parcel area (sq m); model includes Ln_PARCEL_AREA x DESIGNATED interaction, main effect refers to non-designated buildings",Ln nominal selling price of the building (NIS),log,OLS,63.0,0.851,t,"All buildings, stepwise; includes interactions with DESIGNATED; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M4,3,Model 4,8,Ln_PARCEL_AREA,lot_size,A_structural,log,m2,0.881,,8.22,,***,,,high,Log parcel area (sq m),Ln nominal selling price of the building (NIS),log,OLS,28.0,0.876,t,Non-designated buildings only; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M5,3,Model 5,8,Ln_PARCEL_AREA,lot_size,A_structural,log,m2,0.901,,9.13,,***,,,high,Log parcel area (sq m),Ln nominal selling price of the building (NIS),log,OLS,28.0,0.872,t,"Non-designated buildings only, stepwise; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,Ln_BUILD_%_USED,other,other,log,share,0.572,,5.82,,***,,,high,Log development rights used (gross built-up area / plot area x 100; 0 if best use is demolish-and-rebuild),Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M2,3,Model 2,8,Ln_BUILD_%_USED,other,other,log,share,0.351,,2.13,,**,,,high,Log development rights used (gross built-up area / plot area x 100; 0 if best use is demolish-and-rebuild); model includes interaction with DESIGNATED,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.869,t,All buildings; includes interactions Ln_PARCEL_AREA x DESIGNATED and Ln_BUILD_%_USED x DESIGNATED; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M4,3,Model 4,8,Ln_BUILD_%_USED,other,other,log,share,0.273,,1.28,,,,,high,Log development rights used (gross built-up area / plot area x 100; 0 if best use is demolish-and-rebuild),Ln nominal selling price of the building (NIS),log,OLS,28.0,0.876,t,Non-designated buildings only; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,UNEMPLOYMENT,unemployment,F_neighbourhood,level,share,-0.203,,-8.8,,***,,,high,Unemployment rate in Tel Aviv in the transaction year (percent),Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M2,3,Model 2,8,UNEMPLOYMENT,unemployment,F_neighbourhood,level,share,-0.211,,-9.88,,***,,,high,Unemployment rate in Tel Aviv in the transaction year (percent),Ln nominal selling price of the building (NIS),log,OLS,63.0,0.869,t,All buildings; includes interactions Ln_PARCEL_AREA x DESIGNATED and Ln_BUILD_%_USED x DESIGNATED; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M3,3,Model 3,8,UNEMPLOYMENT,unemployment,F_neighbourhood,level,share,-0.196,,-9.06,,***,,,high,Unemployment rate in Tel Aviv in the transaction year (percent),Ln nominal selling price of the building (NIS),log,OLS,63.0,0.851,t,"All buildings, stepwise; includes interactions with DESIGNATED; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M4,3,Model 4,8,UNEMPLOYMENT,unemployment,F_neighbourhood,level,share,-0.176,,-5.32,,***,,,high,Unemployment rate in Tel Aviv in the transaction year (percent),Ln nominal selling price of the building (NIS),log,OLS,28.0,0.876,t,Non-designated buildings only; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M5,3,Model 5,8,UNEMPLOYMENT,unemployment,F_neighbourhood,level,share,-0.152,,-5.25,,***,,,high,Unemployment rate in Tel Aviv in the transaction year (percent),Ln nominal selling price of the building (NIS),log,OLS,28.0,0.872,t,"Non-designated buildings only, stepwise; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.35,,4.59,,***,,,high,"Building exposed to positive externalities, e.g. located on a pedestrian street",Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M2,3,Model 2,8,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.367,,5.11,,***,,,high,"Building exposed to positive externalities, e.g. located on a pedestrian street",Ln nominal selling price of the building (NIS),log,OLS,63.0,0.869,t,All buildings; includes interactions Ln_PARCEL_AREA x DESIGNATED and Ln_BUILD_%_USED x DESIGNATED; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M3,3,Model 3,8,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.383,,5.15,,***,,,high,"Building exposed to positive externalities, e.g. located on a pedestrian street",Ln nominal selling price of the building (NIS),log,OLS,63.0,0.851,t,"All buildings, stepwise; includes interactions with DESIGNATED; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M4,3,Model 4,8,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.417,,2.46,,**,,,high,"Building exposed to positive externalities, e.g. located on a pedestrian street",Ln nominal selling price of the building (NIS),log,OLS,28.0,0.876,t,Non-designated buildings only; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M5,3,Model 5,8,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.359,,2.25,,**,,,high,"Building exposed to positive externalities, e.g. located on a pedestrian street",Ln nominal selling price of the building (NIS),log,OLS,28.0,0.872,t,"Non-designated buildings only, stepwise; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,LOCATION_MAIN_ROAD,highway_distance,D_location,binary,binary,-0.111,,-1.55,,,,,high,"Dummy: located on a main transportation artery (negative externality), not a distance",Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M2,3,Model 2,8,LOCATION_MAIN_ROAD,highway_distance,D_location,binary,binary,-0.12,,-1.71,,*,,,high,"Dummy: located on a main transportation artery (negative externality), not a distance",Ln nominal selling price of the building (NIS),log,OLS,63.0,0.869,t,All buildings; includes interactions Ln_PARCEL_AREA x DESIGNATED and Ln_BUILD_%_USED x DESIGNATED; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M4,3,Model 4,8,LOCATION_MAIN_ROAD,highway_distance,D_location,binary,binary,-0.079,,-0.87,,,,,high,"Dummy: located on a main transportation artery (negative externality), not a distance",Ln nominal selling price of the building (NIS),log,OLS,28.0,0.876,t,Non-designated buildings only; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,FAÇADE,other,other,binary,binary,0.147,,2.4,,**,,,high,Wide facade or corner building dummy,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M2,3,Model 2,8,FAÇADE,other,other,binary,binary,0.164,,2.77,,***,,,high,Wide facade or corner building dummy,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.869,t,All buildings; includes interactions Ln_PARCEL_AREA x DESIGNATED and Ln_BUILD_%_USED x DESIGNATED; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M3,3,Model 3,8,FAÇADE,other,other,binary,binary,0.195,,3.24,,***,,,high,Wide facade or corner building dummy,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.851,t,"All buildings, stepwise; includes interactions with DESIGNATED; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M4,3,Model 4,8,FAÇADE,other,other,binary,binary,0.252,,2.79,,**,,,high,Wide facade or corner building dummy,Ln nominal selling price of the building (NIS),log,OLS,28.0,0.876,t,Non-designated buildings only; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M5,3,Model 5,8,FAÇADE,other,other,binary,binary,0.283,,3.39,,***,,,high,Wide facade or corner building dummy,Ln nominal selling price of the building (NIS),log,OLS,28.0,0.872,t,"Non-designated buildings only, stepwise; adj. R2"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,NOT_FOR_DEMOLITION,other,other,binary,binary,-3.0,,-5.79,,***,,,high,Dummy = 1 for designated buildings and for non-designated buildings whose highest and best use is not demolition,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M2,3,Model 2,8,NOT_FOR_DEMOLITION,other,other,binary,binary,-1.904,,-2.28,,**,,,high,Dummy = 1 for designated buildings and for non-designated buildings whose highest and best use is not demolition,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.869,t,All buildings; includes interactions Ln_PARCEL_AREA x DESIGNATED and Ln_BUILD_%_USED x DESIGNATED; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M4,3,Model 4,8,NOT_FOR_DEMOLITION,other,other,binary,binary,-1.489,,-1.35,,,,,high,Dummy = 1 for designated buildings and for non-designated buildings whose highest and best use is not demolition,Ln nominal selling price of the building (NIS),log,OLS,28.0,0.876,t,Non-designated buildings only; adj. R2
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,DESIGNATED,other,other,binary,binary,0.074,,0.88,,,,,high,Heritage preservation designation dummy (all types),Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,DESIGNATED_LOCAL_REGULAR,other,other,binary,binary,-0.093,,-1.05,,,,,high,Designated for regular (grade 2) preservation,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T3-M1,3,Model 1,8,BUFFER_DESIGNATED,other,other,binary,binary,0.029,,0.39,,,,,high,More than 25 designated buildings within 100 m,Ln nominal selling price of the building (NIS),log,OLS,63.0,0.861,t,All buildings (designated + non-designated); adj. R2; year dummy 2009
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,Ln_TOTAL_APT_AREA,living_area,A_structural,log,m2,0.702,,22.84,,***,,,high,Log total apartment area (sq m),Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,Ln_TOTAL_APT_AREA,living_area,A_structural,log,m2,0.7,,22.79,,***,,,high,Log total apartment area (sq m),Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,Ln_TOTAL_APT_AREA,living_area,A_structural,log,m2,0.708,,16.37,,***,,,high,Log total apartment area (sq m),Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M9,4,Model 9,9,Ln_TOTAL_APT_AREA,living_area,A_structural,log,m2,0.721,,17.07,,***,,,high,Log total apartment area (sq m),Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.894,t,"Apartments in non-designated buildings, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,PARKING,parking,A_structural,binary,binary,0.116,,4.43,,***,,,high,Parking spot within the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,PARKING,parking,A_structural,binary,binary,0.126,,5.01,,***,,,high,Parking spot within the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,PARKING,parking,A_structural,binary,binary,0.123,,4.43,,***,,,high,Parking spot within the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M9,4,Model 9,9,PARKING,parking,A_structural,binary,binary,0.128,,4.67,,***,,,high,Parking spot within the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.894,t,"Apartments in non-designated buildings, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,ELEVATOR1,accessibility,B_interior,binary,binary,0.07,,2.93,,***,,,high,Elevator in building when apartment is on 2nd floor or higher,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,ELEVATOR1,accessibility,B_interior,binary,binary,0.085,,3.98,,***,,,high,Elevator in building when apartment is on 2nd floor or higher,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,ELEVATOR1,accessibility,B_interior,binary,binary,0.044,,1.48,,,,,high,Elevator in building when apartment is on 2nd floor or higher,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M9,4,Model 9,9,ELEVATOR1,accessibility,B_interior,binary,binary,0.056,,2.01,,**,,,high,Elevator in building when apartment is on 2nd floor or higher,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.894,t,"Apartments in non-designated buildings, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,FLOOR,floor_level,A_structural,level,count,0.023,,2.93,,***,,,high,Floor on which the apartment is located,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,FLOOR,floor_level,A_structural,level,count,0.023,,2.92,,***,,,high,Floor on which the apartment is located,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,FLOOR,floor_level,A_structural,level,count,0.021,,2.26,,**,,,high,Floor on which the apartment is located,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M9,4,Model 9,9,FLOOR,floor_level,A_structural,level,count,0.019,,2.04,,**,,,high,Floor on which the apartment is located,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.894,t,"Apartments in non-designated buildings, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,Ln_UNITS_PER_DUNAM,density,F_neighbourhood,log,count,-0.112,,-3.16,,***,,,high,Log number of apartments per dunam (1 dunam = 1000 sq m) of the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,Ln_UNITS_PER_DUNAM,density,F_neighbourhood,log,count,-0.109,,-3.08,,***,,,high,Log number of apartments per dunam (1 dunam = 1000 sq m) of the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,Ln_UNITS_PER_DUNAM,density,F_neighbourhood,log,count,-0.154,,-3.46,,***,,,high,Log number of apartments per dunam (1 dunam = 1000 sq m) of the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M9,4,Model 9,9,Ln_UNITS_PER_DUNAM,density,F_neighbourhood,log,count,-0.14,,-3.16,,***,,,high,Log number of apartments per dunam (1 dunam = 1000 sq m) of the building's plot,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.894,t,"Apartments in non-designated buildings, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,DESIGNATED,other,other,binary,binary,-0.025,,-1.15,,,,,high,Heritage preservation designation dummy (all types),Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,BUILD_PRESERVED,renovation,A_structural,binary,binary,0.129,,3.14,,***,,,high,Designated building preserved (restored) before the transaction,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,BUILD_PRESERVED,renovation,A_structural,binary,binary,0.105,,2.8,,***,,,high,Designated building preserved (restored) before the transaction,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,BUILD_RENOVATED,renovation,A_structural,binary,binary,0.022,,0.8,,,,,high,Non-designated building renovated before the transaction,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,BUILD_RENOVATED,renovation,A_structural,binary,binary,0.033,,1.15,,,,,high,Non-designated building renovated before the transaction,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.08,,3.65,,***,,,high,"Positive location externality, e.g. pedestrian street",Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.075,,3.46,,***,,,high,"Positive location externality, e.g. pedestrian street",Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.074,,2.53,,**,,,high,"Positive location externality, e.g. pedestrian street",Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M9,4,Model 9,9,LOCATION_PEDESTRIAN_STREET,other,other,binary,binary,0.066,,2.27,,**,,,high,"Positive location externality, e.g. pedestrian street",Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.894,t,"Apartments in non-designated buildings, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,LOCATION_MAIN_ROAD,highway_distance,D_location,binary,binary,-0.182,,-4.01,,***,,,high,"Dummy: located on a main transportation artery (negative externality), not a distance",Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,LOCATION_MAIN_ROAD,highway_distance,D_location,binary,binary,-0.19,,-4.23,,***,,,high,"Dummy: located on a main transportation artery (negative externality), not a distance",Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,LOCATION_MAIN_ROAD,highway_distance,D_location,binary,binary,-0.213,,-2.25,,**,,,high,"Dummy: located on a main transportation artery (negative externality), not a distance",Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M9,4,Model 9,9,LOCATION_MAIN_ROAD,highway_distance,D_location,binary,binary,-0.212,,-2.24,,**,,,high,"Dummy: located on a main transportation artery (negative externality), not a distance",Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.894,t,"Apartments in non-designated buildings, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M6,4,Model 6,9,BUFFER_DESIGNATED,other,other,binary,binary,0.061,,2.27,,**,,,high,More than 25 designated buildings within 100 m,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,All apartments; adj. R2; transaction-year dummies
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M7,4,Model 7,9,BUFFER_DESIGNATED,other,other,binary,binary,0.057,,2.12,,**,,,high,More than 25 designated buildings within 100 m,Ln nominal selling price of the apartment (NIS),log,OLS,237.0,0.891,t,"All apartments, stepwise; adj. R2; transaction-year dummies"
828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2,828367334a6cb48f8254ab88d9172664e3afd7a2:T4-M8,4,Model 8,9,BUFFER_DESIGNATED,other,other,binary,binary,0.073,,1.62,,,,,high,More than 25 designated buildings within 100 m,Ln nominal selling price of the apartment (NIS),log,OLS,146.0,0.895,t,Apartments in non-designated buildings; adj. R2; transaction-year dummies
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Detach,dwelling_type,A_structural,binary,binary,434.886,,,,***,,,medium,"1=detached house, 0=townhouse; chi2(1) statistic in parentheses = 26.884; no SE printed","house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Age,age,A_structural,level,years,-0.398,,,,,,,medium,house age in years; chi2(1) statistic in parentheses = 0.033; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Bed,bedrooms,A_structural,level,count,156.273,,,,***,,,medium,number of bedrooms; chi2(1) statistic in parentheses = 6.852; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Bath,bathrooms,A_structural,level,count,262.351,,,,***,,,medium,number of bathrooms; chi2(1) statistic in parentheses = 17.368; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Area,living_area,A_structural,level,m2,-0.408,,,,*,,,medium,utilization (floor) area in m2; chi2(1) statistic in parentheses = 3.087; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Lot,lot_size,A_structural,level,m2,0.44,,,,***,,,medium,land size in m2; chi2(1) statistic in parentheses = 7.316; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Discbd,cbd_distance,D_location,level,m,-0.029,,,,,,,medium,distance to district center in metres; chi2(1) statistic in parentheses = 1.765; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,Main,other,other,binary,binary,-73.568,,,,,,,medium,main road location (1=main road); chi2(1) statistic in parentheses = 1.094; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lhs,5,lhsonly Model,9,AQI,air_pollution,E_environment,level,index,9.955,,,,,,,medium,daily average Air Quality Index (two station values); chi2(1) statistic in parentheses = 0.59; no SE printed,"house price (THB), Box-Cox theta=0.476",boxcox,other,192.0,,none,"Box-Cox ML, dependent variable transformed only; chi2(1) in parentheses; AIC 2180.956"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Detach,dwelling_type,A_structural,binary,binary,391533.5,,,,**,,,medium,"1=detached house, 0=townhouse; chi2(1) statistic in parentheses = 5.373; no SE printed","house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Age,age,A_structural,other,years,-45908.14,,,,,,,medium,house age in years; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.3; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Bed,bedrooms,A_structural,other,count,286382.1,,,,,,,medium,number of bedrooms; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.976; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Bath,bathrooms,A_structural,other,count,569925.7,,,,***,,,medium,number of bathrooms; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 7.381; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Area,living_area,A_structural,other,m2,-166003.9,,,,,,,medium,utilization (floor) area in m2; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.427; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Lot,lot_size,A_structural,other,m2,1561252.0,,,,***,,,medium,land size in m2; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 9.93; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Discbd,cbd_distance,D_location,other,m,-80836.09,,,,,,,medium,distance to district center in metres; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.106; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,Main,other,other,binary,binary,-184539.0,,,,*,,,medium,main road location (1=main road); chi2(1) statistic in parentheses = 3.26; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-rhs,5,rhsonly Model,9,AQI,air_pollution,E_environment,other,index,-1144197.0,,,,,,,medium,daily average Air Quality Index (two station values); Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 1.101; no SE printed,"house price (THB), level",level,other,192.0,,none,"Box-Cox ML, regressors transformed (lambda=-0.178); chi2(1) in parentheses; AIC 2187.270"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Detach,dwelling_type,A_structural,binary,binary,3.048,,,,**,,,medium,"1=detached house, 0=townhouse; chi2(1) statistic in parentheses = 5.31; no SE printed","house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Age,age,A_structural,other,years,-0.247,,,,,,,medium,house age in years; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.751; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Bed,bedrooms,A_structural,other,count,3.289,,,,**,,,medium,number of bedrooms; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 4.344; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Bath,bathrooms,A_structural,other,count,4.093,,,,***,,,medium,number of bathrooms; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 10.071; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Area,living_area,A_structural,other,m2,-0.178,,,,,,,medium,utilization (floor) area in m2; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.302; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Lot,lot_size,A_structural,other,m2,1.48,,,,***,,,medium,land size in m2; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 14.003; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Discbd,cbd_distance,D_location,other,m,-0.035,,,,,,,medium,distance to district center in metres; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.027; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,Main,other,other,binary,binary,-1.488,,,,*,,,medium,main road location (1=main road); chi2(1) statistic in parentheses = 2.703; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-lambda,5,Lambda Model,9,AQI,air_pollution,E_environment,other,index,-2.144,,,,,,,medium,daily average Air Quality Index (two station values); Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.511; no SE printed,"house price (THB), Box-Cox lambda=0.175",boxcox,other,192.0,,none,"Box-Cox ML, common lambda=0.175 both sides; chi2(1) in parentheses; AIC 2175.152"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Detach,dwelling_type,A_structural,binary,binary,10.738,,,,*,,,medium,"1=detached house, 0=townhouse; chi2(1) statistic in parentheses = 3.356; no SE printed","house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Age,age,A_structural,other,years,-2.656,,,,,,,medium,house age in years; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.265; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Bed,bedrooms,A_structural,other,count,17.64,,,,,,,medium,number of bedrooms; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 2.115; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Bath,bathrooms,A_structural,other,count,22.805,,,,***,,,medium,number of bathrooms; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 7.779; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Area,living_area,A_structural,other,m2,0.131,,,,,,,medium,utilization (floor) area in m2; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.0; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Lot,lot_size,A_structural,other,m2,241.498,,,,***,,,medium,land size in m2; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 19.346; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Discbd,cbd_distance,D_location,other,m,-13.424,,,,,,,medium,distance to district center in metres; Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 0.08; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,Main,other,other,binary,binary,-6.97,,,,,,,medium,main road location (1=main road); chi2(1) statistic in parentheses = 2.265; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f,84a6e8ef31bf481e52cb738679f636c9a2fcc69f:T5-theta,5,Theta Model,9,AQI,air_pollution,E_environment,other,index,-144.509,,,,*,,,medium,daily average Air Quality Index (two station values); Box-Cox transformed regressor (see model lambda); chi2(1) statistic in parentheses = 3.582; no SE printed,"house price (THB), Box-Cox theta=0.288",boxcox,other,192.0,,none,"Box-Cox ML, theta=0.288 (lhs), lambda=-0.461 (rhs); preferred model; chi2(1) in parentheses; AIC 2170.988"
8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258:T1-c1,1,1,4,Housing area (X1) (per square meter),living_area,A_structural,level,m2,450.0,35.0,12.86,0.001,,,,low,"Housing area in square metres; p printed as '<0.001' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis",house price (yuan; total vs per-m2 not stated),level,OLS,,0.85,se,"All Tianjin transactions 2018-2022 (n not reported); R2 0.85, adjusted R2 0.83, F 75.00"
8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258:T1-c1,1,1,4,Room age (X2) (per year),age,A_structural,level,years,-200.0,60.0,-3.33,0.01,,,,low,"Age of the house in years; p printed as '<0.01' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis",house price (yuan; total vs per-m2 not stated),level,OLS,,0.85,se,"All Tianjin transactions 2018-2022 (n not reported); R2 0.85, adjusted R2 0.83, F 75.00"
8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258:T1-c1,1,1,4,Geographical location (X3) (per kilometer),cbd_distance,D_location,level,km,-800.0,120.0,-6.67,0.001,,,,low,"Distance from the city centre in km; p printed as '<0.001' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis",house price (yuan; total vs per-m2 not stated),level,OLS,,0.85,se,"All Tianjin transactions 2018-2022 (n not reported); R2 0.85, adjusted R2 0.83, F 75.00"
8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258,8506f16b0710a57ed835f9583338b207fd204258:T1-c1,1,1,4,Supporting facilities (X4) (each score),neighbourhood_amenities,F_neighbourhood,level,score,1200.0,150.0,8.0,0.001,,,,low,"Composite score of surrounding facilities (schools, hospitals, shopping centres); p printed as '<0.001' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis",house price (yuan; total vs per-m2 not stated),level,OLS,,0.85,se,"All Tianjin transactions 2018-2022 (n not reported); R2 0.85, adjusted R2 0.83, F 75.00"
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,FRE,flood_risk,E_environment,level,count,-0.185,0.07,,,***,,,high,Flood frequency: number of flood events in the 5-year period 2008-2013,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,FRE,flood_risk,E_environment,level,count,-0.136,0.081,,,*,,,high,Flood frequency: number of flood events in the 5-year period 2008-2013,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,BUS,transit_distance,D_location,level,km,-0.016,0.011,,,,,,high,Distance to nearest bus station,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,BUS,transit_distance,D_location,level,km,0.003,0.006,,,,,,high,Distance to nearest bus station,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,BUS2,transit_distance,D_location,squared,km,0.0001,0.0001,,,,,,high,Square of distance to nearest bus station,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,BUS2,transit_distance,D_location,squared,km,-0.0001,0.0003,,,,,,high,Square of distance to nearest bus station,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,CITY,cbd_distance,D_location,level,km,0.041,0.012,,,***,,,high,Distance to nearest city centre,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,CITY,cbd_distance,D_location,level,km,-0.01,0.008,,,,,,high,Distance to nearest city centre,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,CITY2,cbd_distance,D_location,squared,km,-0.001,0.0003,,,***,,,high,Square of distance to city centre,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,CITY2,cbd_distance,D_location,squared,km,0.0003,0.0003,,,,,,high,Square of distance to city centre,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,LOT,lot_size,A_structural,level,sqft,0.0001,5e-05,,,***,,,high,Lot size in square feet,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,LOT,lot_size,A_structural,level,sqft,0.0001,4e-05,,,***,,,high,Lot size in square feet,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,AGE,age,A_structural,level,years,-0.012,0.003,,,***,,,high,Age of house in years,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,AGE,age,A_structural,level,years,-0.01,0.002,,,***,,,high,Age of house in years,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,BED,bedrooms,A_structural,level,count,0.077,0.034,,,***,,,high,printed *** although beta/se = 2.3 (inconsistent stars in source),ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,BED,bedrooms,A_structural,level,count,0.059,0.045,,,**,,,high,printed ** although beta/se = 1.3 (inconsistent stars in source),ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,BATH,bathrooms,A_structural,level,count,0.233,0.035,,,***,,,high,,ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,BATH,bathrooms,A_structural,level,count,0.18,0.042,,,***,,,high,,ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,DAIRPORT,airport_distance,D_location,binary,binary,0.059,0.074,,,,,,high,"Dummy = 1 if within 10 km of airport (proximity dummy, not distance)",ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,DAIRPORT,airport_distance,D_location,binary,binary,-0.112,0.09,,,,,,high,"Dummy = 1 if within 10 km of airport (proximity dummy, not distance)",ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-urban,7,Urban area,13,DSCHOOL,school_distance,D_location,binary,binary,-0.139,0.094,,,,,,high,"Dummy = 1 if within 2 km of a school (proximity dummy, not distance)",ln residential property value (RM),log,OLS,680.0,0.539,se,Urban-area properties (R2 printed as 53.90 %)
85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42,85ea3296a5d9175ea12142cf209523d5db6d0b42:T7-rural,7,Rural area,13,DSCHOOL,school_distance,D_location,binary,binary,0.256,0.137,,,*,,,high,"Dummy = 1 if within 2 km of a school (proximity dummy, not distance)",ln residential property value (RM),log,OLS,680.0,0.47,se,Rural-area properties (R2 printed as 47.00 %)
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,BATHRMS,bathrooms,A_structural,level,count,0.0439,,1.705,,,,,high,number of bathrooms,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,FIREPLC,fireplace,B_interior,level,count,0.0775,,5.38,,,,,high,number of fireplaces,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,GARAGE,garage,A_structural,level,count (cars),0.0379,,2.638,,,,,high,number of cars that fit in garage,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,SQFTBLD,living_area,A_structural,level,sqft,0.0006,,8.467,,,,,high,building area; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,SQFTBD2,living_area,A_structural,squared,sqft squared,-1e-07,,-4.341,,,,,high,square of building area,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,SQFTLOT,lot_size,A_structural,level,sqft,1e-05,,1.23,,,,,high,lot size; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,SQFTLOT2,lot_size,A_structural,squared,sqft squared,-1e-11,,-0.325,,,,,high,square of lot size,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,STORIES,storeys,A_structural,level,"count (1, 1.5, 2)",0.0512,,1.497,,,,,high,number of stories,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,VIEW,view,E_environment,level,index 0-6,0.0556,,4.39,,,,,high,"view index, 0 = no view, max 6",ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,STRUCAGE,age,A_structural,level,years,-0.0037,,-2.56,,,,,high,age of structure; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,STRUCAG2,age,A_structural,squared,years squared,2e-05,,1.57,,,,,high,square of structure age,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,NEGHAGE,other,other,level,years,-0.0041,,-2.931,,,,,high,age of the neighborhood in years,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,VANDAL,crime,F_neighbourhood,level,vandalism incidents per resident per year (neighborhood),0.0042,,2.49,,,,,high,neighborhood vandalism rate,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,BURGLAR,crime,F_neighbourhood,level,burglary incidents per resident per year (neighborhood),-0.0304,,-4.117,,,,,high,neighborhood burglary rate,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,MDFAMINC,income,F_neighbourhood,level,USD (median family income of neighborhood),-9e-07,,-0.3963,,,,,medium,neighborhood median family income; coefficient printed with 6-7 decimals in scan,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,NONWHTE,demographics,F_neighbourhood,level,percent,-0.0027,,-2.766,,,,,high,percent of neighborhood population non-white,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,PCTBADEG,education_level,F_neighbourhood,level,percent,-0.0161,,7.064,,,,,medium,percent of neighborhood population with a B.A. degree; printed negative coefficient with positive t-score (likely sign typo; Table 6 gives +0.0163),ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,UNKNDUM,other,other,dummy,binary,-0.0107,,-0.477,,,,,high,nearest arterial in medium traffic group,ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m1,5,1,46,NOTRADUM,other,other,dummy,binary,0.0272,,,,,,,medium,nearest arterial in low traffic group; t-score illegible in scan (printed '1.1.6'),ln(1994 sale price),log,OLS,1437.0,0.595,none,Test model 1: structural + neighbourhood + traffic-group dummies; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,BATHRMS,bathrooms,A_structural,level,count,0.0438,,1.702,,,,,high,number of bathrooms,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,FIREPLC,fireplace,B_interior,level,count,0.0781,,5.495,,,,,high,number of fireplaces,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,GARAGE,garage,A_structural,level,count (cars),0.0387,,2.72,,,,,high,number of cars that fit in garage,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,SQFTBLD,living_area,A_structural,level,sqft,0.0006,,8.541,,,,,high,building area; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,SQFTBD2,living_area,A_structural,squared,sqft squared,-1e-07,,-4.398,,,,,high,square of building area,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,SQFTLOT,lot_size,A_structural,level,sqft,1e-06,,1.047,,,,,high,lot size; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,SQFTLOT2,lot_size,A_structural,squared,sqft squared,-4e-11,,-0.144,,,,,high,square of lot size,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,STORIES,storeys,A_structural,level,"count (1, 1.5, 2)",0.0515,,1.506,,,,,high,number of stories,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,VIEW,view,E_environment,level,index 0-6,0.057,,4.537,,,,,high,"view index, 0 = no view, max 6",ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,STRUCAGE,age,A_structural,level,years,-0.0036,,-2.512,,,,,high,age of structure; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,STRUCAG2,age,A_structural,squared,years squared,2e-05,,1.547,,,,,high,square of structure age,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,NEGHAGE,other,other,level,years,-0.004,,-2.831,,,,,high,age of the neighborhood in years,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,VANDAL,crime,F_neighbourhood,level,vandalism incidents per resident per year (neighborhood),0.0041,,2.459,,,,,high,neighborhood vandalism rate,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,BURGLAR,crime,F_neighbourhood,level,burglary incidents per resident per year (neighborhood),-0.0297,,-4.117,,,,,high,neighborhood burglary rate,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,MDFAMINC,income,F_neighbourhood,level,USD (median family income of neighborhood),-1e-06,,-0.504,,,,,medium,neighborhood median family income; coefficient printed with 6-7 decimals in scan,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,NONWHTE,demographics,F_neighbourhood,level,percent,-0.0029,,-3.007,,,,,high,percent of neighborhood population non-white,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,PCTBADEG,education_level,F_neighbourhood,level,percent,0.0164,,7.186,,,,,high,percent of neighborhood population with a B.A. degree,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m2,5,2,46,LINKDIST,highway_distance,D_location,level,feet,8e-05,,3.083,,,,,high,distance to nearest arterial link,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 2: structural + neighbourhood + continuous distance to arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,BATHRMS,bathrooms,A_structural,level,count,0.0422,,1.635,,,,,high,number of bathrooms,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,FIREPLC,fireplace,B_interior,level,count,0.0784,,5.494,,,,,high,number of fireplaces,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,GARAGE,garage,A_structural,level,count (cars),0.0392,,2.758,,,,,high,number of cars that fit in garage,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,SQFTBLD,living_area,A_structural,level,sqft,0.00061,,8.512,,,,,high,building area; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,SQFTBD2,living_area,A_structural,squared,sqft squared,-1e-07,,-4.386,,,,,high,square of building area,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,SQFTLOT,lot_size,A_structural,level,sqft,7e-06,,0.947,,,,,high,lot size; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,SQFTLOT2,lot_size,A_structural,squared,sqft squared,-1e-11,,-0.034,,,,,high,square of lot size,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,STORIES,storeys,A_structural,level,"count (1, 1.5, 2)",0.0528,,1.538,,,,,high,number of stories,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,VIEW,view,E_environment,level,index 0-6,0.0573,,4.654,,,,,high,"view index, 0 = no view, max 6",ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,STRUCAGE,age,A_structural,level,years,-0.0036,,-2.485,,,,,high,age of structure; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,STRUCAG2,age,A_structural,squared,years squared,2e-05,,1.522,,,,,high,square of structure age,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,NEGHAGE,other,other,level,years,-0.004,,-2.819,,,,,high,age of the neighborhood in years,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,VANDAL,crime,F_neighbourhood,level,vandalism incidents per resident per year (neighborhood),0.0042,,2.436,,,,,high,neighborhood vandalism rate,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,BURGLAR,crime,F_neighbourhood,level,burglary incidents per resident per year (neighborhood),-0.0295,,-4.112,,,,,high,neighborhood burglary rate,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,MDFAMINC,income,F_neighbourhood,level,USD (median family income of neighborhood),-1e-06,,-0.497,,,,,medium,neighborhood median family income; coefficient printed with 6-7 decimals in scan,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,NONWHTE,demographics,F_neighbourhood,level,percent,-0.003,,-3.04,,,,,high,percent of neighborhood population non-white,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,PCTBADEG,education_level,F_neighbourhood,level,percent,0.0165,,7.214,,,,,high,percent of neighborhood population with a B.A. degree,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,WIN85,highway_distance,D_location,dummy,binary (within 85 feet of any arterial),-0.0883,,-2.36,,,,,high,= 1 if house within 85 ft of an arterial (any traffic level),ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,WIN350,highway_distance,D_location,dummy,binary (85-350 feet of any arterial),-0.0603,,-3.265,,,,,high,= 1 if house between 85 and 350 ft of an arterial,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m3,5,3,46,WIN550,highway_distance,D_location,dummy,binary (350-550 feet of any arterial),-0.0153,,-0.8,,,,,high,= 1 if house between 350 and 550 ft of an arterial,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 3: structural + neighbourhood + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,BATHRMS,bathrooms,A_structural,level,count,0.0422,,1.637,,,,,high,number of bathrooms,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,FIREPLC,fireplace,B_interior,level,count,0.0786,,5.47,,,,,high,number of fireplaces,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,GARAGE,garage,A_structural,level,count (cars),0.0393,,2.76,,,,,high,number of cars that fit in garage,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,SQFTBLD,living_area,A_structural,level,sqft,0.0006,,8.491,,,,,high,building area; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,SQFTBD2,living_area,A_structural,squared,sqft squared,-1e-07,,-4.78,,,,,high,square of building area,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,SQFTLOT,lot_size,A_structural,level,sqft,7e-06,,0.948,,,,,high,lot size; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,SQFTLOT2,lot_size,A_structural,squared,sqft squared,-1e-11,,-0.034,,,,,high,square of lot size,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,STORIES,storeys,A_structural,level,"count (1, 1.5, 2)",0.0533,,1.55,,,,,high,number of stories,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,VIEW,view,E_environment,level,index 0-6,0.0575,,4.715,,,,,high,"view index, 0 = no view, max 6",ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,STRUCAGE,age,A_structural,level,years,-0.0036,,-2.47,,,,,high,age of structure; squared term also included,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,STRUCAG2,age,A_structural,squared,years squared,2e-05,,1.52,,,,,high,square of structure age,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,NEGHAGE,other,other,level,years,-0.004,,-2.83,,,,,high,age of the neighborhood in years,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,VANDAL,crime,F_neighbourhood,level,vandalism incidents per resident per year (neighborhood),0.0042,,2.465,,,,,high,neighborhood vandalism rate,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,BURGLAR,crime,F_neighbourhood,level,burglary incidents per resident per year (neighborhood),-0.03,,-4.036,,,,,high,neighborhood burglary rate,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,MDFAMINC,income,F_neighbourhood,level,USD (median family income of neighborhood),-1e-06,,-0.495,,,,,medium,neighborhood median family income; coefficient printed with 6-7 decimals in scan,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,NONWHTE,demographics,F_neighbourhood,level,percent,-0.003,,-3.007,,,,,high,percent of neighborhood population non-white,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,PCTBADEG,education_level,F_neighbourhood,level,percent,-0.0165,,7.229,,,,,medium,percent of neighborhood population with a B.A. degree; printed negative coefficient with positive t-score (likely sign typo; Table 6 gives +0.0163),ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,UNKNDUM,other,other,dummy,binary,0.00093,,-0.042,,,,,medium,nearest arterial in medium traffic group; sign of coefficient vs t-score inconsistent as printed,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,NOTRADUM,other,other,dummy,binary,-0.0082,,-0.38,,,,,high,nearest arterial in low traffic group,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,WIN85,highway_distance,D_location,dummy,binary (within 85 feet of any arterial),-0.094,,-2.39,,,,,high,= 1 if house within 85 ft of an arterial (any traffic level),ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,WIN350,highway_distance,D_location,dummy,binary (85-350 feet of any arterial),-0.066,,-2.944,,,,,high,= 1 if house between 85 and 350 ft of an arterial,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T5-m4,5,4,46,WIN550,highway_distance,D_location,dummy,binary (350-550 feet of any arterial),-0.021,,-0.91,,,,,high,= 1 if house between 350 and 550 ft of an arterial,ln(1994 sale price),log,OLS,1437.0,0.597,none,Test model 4: structural + neighbourhood + traffic-group dummies + distance bands to any arterial; adj. R2 reported; t-scores in column
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,BATHRMS,bathrooms,A_structural,level,count,0.0407,,1.557,0.12,,,,high,number of bathrooms; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,FIREPLC,fireplace,B_interior,level,count,0.076,,5.283,0.0,,,,high,number of fireplaces; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,GARAGE,garage,A_structural,level,count (cars),0.039,,2.733,0.006,,,,high,number of cars that fit in garage; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,SQFTBLD,living_area,A_structural,level,sqft,0.0006,,8.346,0.0,,,,high,building area; squared term also included; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,SQFTBD2,living_area,A_structural,squared,sqft squared,-1e-07,,-4.214,0.0,,,,high,square of building area; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,SQFTLOT,lot_size,A_structural,level,sqft,8e-06,,1.08,0.28,,,,high,lot size; squared term also included; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,SQFTLOT2,lot_size,A_structural,squared,sqft squared,-6e-11,,-0.232,0.817,,,,high,square of lot size; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,STORIES,storeys,A_structural,level,"count (1, 1.5, 2)",0.053,,1.547,0.122,,,,high,number of stories; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,VIEW,view,E_environment,level,index 0-6,0.058,,4.781,0.0,,,,high,"view index, 0 = no view, max 6; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005",ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,STRUCAGE,age,A_structural,level,years,-0.0036,,-2.466,0.014,,,,high,age of structure; squared term also included; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,STRUCAG2,age,A_structural,squared,years squared,2e-05,,1.48,0.139,,,,high,square of structure age; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,NEGHAGE,other,other,level,years,-0.0042,,-3.001,0.003,,,,high,age of the neighborhood in years; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,VANDAL,crime,F_neighbourhood,level,vandalism incidents per resident per year (neighborhood),0.0044,,2.58,0.01,,,,high,neighborhood vandalism rate; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,BURGLAR,crime,F_neighbourhood,level,burglary incidents per resident per year (neighborhood),-0.0326,,-4.56,0.0,,,,high,neighborhood burglary rate; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,MDFAMINC,income,F_neighbourhood,level,USD (median family income of neighborhood),-1e-06,,-0.5,0.618,,,,high,neighborhood median family income; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,NONWHTE,demographics,F_neighbourhood,level,percent,-0.00282,,-2.868,0.004,,,,high,percent of neighborhood population non-white; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,PCTBADEG,education_level,F_neighbourhood,level,percent,0.0163,,7.151,0.0,,,,high,percent of neighborhood population with a B.A. degree; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,HIGH85,highway_distance,D_location,dummy,binary (within 85 feet of high-traffic arterial),-0.1022,,-2.331,0.02,,,,high,= 1 if house within 85 ft of a high-traffic arterial; reference: not near high-traffic arterial; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,HIGH350,highway_distance,D_location,dummy,binary (85-350 feet of high-traffic arterial),-0.0463,,-2.237,0.025,,,,high,= 1 if house between 85 and 350 ft of a high-traffic arterial; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09,85ec88163a881d2f9a23ced6110d5e4e05b48d09:T6-c1,6,1,47,HIGH550,highway_distance,D_location,dummy,binary (350-550 feet of high-traffic arterial),0.00558,,0.26,0.794,,,,high,= 1 if house between 350 and 550 ft of a high-traffic arterial; coefficients printed in scientific notation (e.g. 4.07E-02); p printed as 0 when <0.0005,ln(1994 sale price),log,OLS,1437.0,0.6,none,"Final model, White heteroskedasticity-consistent covariance; t-score and p-value in columns; R2 .60, adj. R2 .5963 (Table 7, p.48)"
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H1_FLARA,living_area,A_structural,other,m2 (total floor area; standardized beta),-0.007,,,,,,,medium,Total floor area m2 (EPC). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H1_FLARA,living_area,A_structural,other,m2 (total floor area; standardized beta),-0.009,,,,**,,,medium,Total floor area m2 (EPC). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H1_FLARA,living_area,A_structural,other,m2 (total floor area; standardized beta),-0.012,,,,**,,,medium,Total floor area m2 (EPC). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H1_FLARA,living_area,A_structural,other,m2 (total floor area; standardized beta),-0.014,,,,**,,,medium,Total floor area m2 (EPC). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H1_FLARA,living_area,A_structural,other,m2 (total floor area; standardized beta),-0.016,,,,***,,,medium,Total floor area m2 (EPC). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H2_INSUP,insulation,B_interior,other,ordinal 1-5 (EPC insulation performance; standardized beta),-0.009,,,,**,,,medium,House insulation performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H2_INSUP,insulation,B_interior,other,ordinal 1-5 (EPC insulation performance; standardized beta),-0.006,,,,,,,medium,House insulation performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H2_INSUP,insulation,B_interior,other,ordinal 1-5 (EPC insulation performance; standardized beta),-0.001,,,,,,,medium,House insulation performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H2_INSUP,insulation,B_interior,other,ordinal 1-5 (EPC insulation performance; standardized beta),-0.001,,,,,,,medium,House insulation performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H2_INSUP,insulation,B_interior,other,ordinal 1-5 (EPC insulation performance; standardized beta),0.004,,,,,,,medium,House insulation performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H3_LIGTP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC lighting performance; standardized beta),-0.039,,,,***,,,medium,House lighting performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H3_LIGTP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC lighting performance; standardized beta),-0.037,,,,***,,,medium,House lighting performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H3_LIGTP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC lighting performance; standardized beta),-0.036,,,,***,,,medium,House lighting performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H3_LIGTP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC lighting performance; standardized beta),-0.036,,,,***,,,medium,House lighting performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H3_LIGTP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC lighting performance; standardized beta),-0.035,,,,***,,,medium,House lighting performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H4_HOTWP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC hot water performance; standardized beta),0.002,,,,,,,medium,House hot water performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H4_HOTWP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC hot water performance; standardized beta),0.002,,,,,,,medium,House hot water performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H4_HOTWP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC hot water performance; standardized beta),0.001,,,,,,,medium,House hot water performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H4_HOTWP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC hot water performance; standardized beta),0.002,,,,,,,medium,House hot water performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H4_HOTWP,energy_efficiency,A_structural,other,ordinal 1-5 (EPC hot water performance; standardized beta),0.003,,,,,,,medium,House hot water performance rating. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H5_CO2EM,energy_efficiency,A_structural,other,tonnes CO2/yr (EPC CO2 emission; standardized beta),0.054,,,,***,,,medium,"House CO2 emission (EPC), mean 2.00. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H5_CO2EM,energy_efficiency,A_structural,other,tonnes CO2/yr (EPC CO2 emission; standardized beta),0.059,,,,***,,,medium,"House CO2 emission (EPC), mean 2.00. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H5_CO2EM,energy_efficiency,A_structural,other,tonnes CO2/yr (EPC CO2 emission; standardized beta),0.059,,,,***,,,medium,"House CO2 emission (EPC), mean 2.00. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H5_CO2EM,energy_efficiency,A_structural,other,tonnes CO2/yr (EPC CO2 emission; standardized beta),0.06,,,,***,,,medium,"House CO2 emission (EPC), mean 2.00. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H5_CO2EM,energy_efficiency,A_structural,other,tonnes CO2/yr (EPC CO2 emission; standardized beta),0.059,,,,***,,,medium,"House CO2 emission (EPC), mean 2.00. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H6_FLLEV,floor_level,A_structural,other,"ordinal 1-3 (1 low, 2 mid, 3 high; standardized beta)",0.068,,,,***,,,medium,Floor level category. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H6_FLLEV,floor_level,A_structural,other,"ordinal 1-3 (1 low, 2 mid, 3 high; standardized beta)",0.062,,,,***,,,medium,Floor level category. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H6_FLLEV,floor_level,A_structural,other,"ordinal 1-3 (1 low, 2 mid, 3 high; standardized beta)",0.063,,,,***,,,medium,Floor level category. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H6_FLLEV,floor_level,A_structural,other,"ordinal 1-3 (1 low, 2 mid, 3 high; standardized beta)",0.062,,,,***,,,medium,Floor level category. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H6_FLLEV,floor_level,A_structural,other,"ordinal 1-3 (1 low, 2 mid, 3 high; standardized beta)",0.066,,,,***,,,medium,Floor level category. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H7_PROTY,dwelling_type,A_structural,other,"nominal code 1-4 (1 detached, 2 flat, 3 semi, 4 terrace; standardized beta)",-0.026,,,,***,,,medium,"Property type entered as a single numeric code, not dummies. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H7_PROTY,dwelling_type,A_structural,other,"nominal code 1-4 (1 detached, 2 flat, 3 semi, 4 terrace; standardized beta)",-0.02,,,,***,,,medium,"Property type entered as a single numeric code, not dummies. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H7_PROTY,dwelling_type,A_structural,other,"nominal code 1-4 (1 detached, 2 flat, 3 semi, 4 terrace; standardized beta)",-0.021,,,,***,,,medium,"Property type entered as a single numeric code, not dummies. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H7_PROTY,dwelling_type,A_structural,other,"nominal code 1-4 (1 detached, 2 flat, 3 semi, 4 terrace; standardized beta)",-0.021,,,,***,,,medium,"Property type entered as a single numeric code, not dummies. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H7_PROTY,dwelling_type,A_structural,other,"nominal code 1-4 (1 detached, 2 flat, 3 semi, 4 terrace; standardized beta)",-0.02,,,,***,,,medium,"Property type entered as a single numeric code, not dummies. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,H8_MENER,heating,A_structural,other,"nominal code 1-4 (1 electricity, 2 gas/LPG, 3 oil/coal, 4 others; standardized beta)",0.122,,,,***,,,medium,Main energy source entered as a single numeric code. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,H8_MENER,heating,A_structural,other,"nominal code 1-4 (1 electricity, 2 gas/LPG, 3 oil/coal, 4 others; standardized beta)",0.135,,,,***,,,medium,Main energy source entered as a single numeric code. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,H8_MENER,heating,A_structural,other,"nominal code 1-4 (1 electricity, 2 gas/LPG, 3 oil/coal, 4 others; standardized beta)",0.136,,,,***,,,medium,Main energy source entered as a single numeric code. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,H8_MENER,heating,A_structural,other,"nominal code 1-4 (1 electricity, 2 gas/LPG, 3 oil/coal, 4 others; standardized beta)",0.134,,,,***,,,medium,Main energy source entered as a single numeric code. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,H8_MENER,heating,A_structural,other,"nominal code 1-4 (1 electricity, 2 gas/LPG, 3 oil/coal, 4 others; standardized beta)",0.137,,,,***,,,medium,Main energy source entered as a single numeric code. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S1_IMBLY,visual_quality,H_ai_derived,other,"score 1-5 (ML-predicted perceived imageability of street view images, mean within 1 km; standardized beta)",0.024,,,,***,,,medium,AI-derived: BP neural network prediction of subjective perception from SVI segmentation. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S1_IMBLY,visual_quality,H_ai_derived,other,"score 1-5 (ML-predicted perceived imageability of street view images, mean within 1 km; standardized beta)",0.032,,,,***,,,medium,AI-derived: BP neural network prediction of subjective perception from SVI segmentation. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S1_IMBLY,visual_quality,H_ai_derived,other,"score 1-5 (ML-predicted perceived imageability of street view images, mean within 1 km; standardized beta)",0.031,,,,***,,,medium,AI-derived: BP neural network prediction of subjective perception from SVI segmentation. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S1_IMBLY,visual_quality,H_ai_derived,other,"score 1-5 (ML-predicted perceived imageability of street view images, mean within 1 km; standardized beta)",0.035,,,,***,,,medium,AI-derived: BP neural network prediction of subjective perception from SVI segmentation. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S1_IMBLY,visual_quality,H_ai_derived,other,"score 1-5 (ML-predicted perceived imageability of street view images, mean within 1 km; standardized beta)",0.029,,,,***,,,medium,AI-derived: BP neural network prediction of subjective perception from SVI segmentation. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S2_ENCLS,visual_quality,H_ai_derived,other,score 1-5 (perceived enclosure; standardized beta),0.135,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S2_ENCLS,visual_quality,H_ai_derived,other,score 1-5 (perceived enclosure; standardized beta),0.157,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S2_ENCLS,visual_quality,H_ai_derived,other,score 1-5 (perceived enclosure; standardized beta),0.16,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S2_ENCLS,visual_quality,H_ai_derived,other,score 1-5 (perceived enclosure; standardized beta),0.164,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S2_ENCLS,visual_quality,H_ai_derived,other,score 1-5 (perceived enclosure; standardized beta),0.125,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S3_HMSCL,visual_quality,H_ai_derived,other,score 1-5 (perceived human scale; standardized beta),0.043,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S3_HMSCL,visual_quality,H_ai_derived,other,score 1-5 (perceived human scale; standardized beta),0.037,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S3_HMSCL,visual_quality,H_ai_derived,other,score 1-5 (perceived human scale; standardized beta),0.035,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S3_HMSCL,visual_quality,H_ai_derived,other,score 1-5 (perceived human scale; standardized beta),0.033,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S3_HMSCL,visual_quality,H_ai_derived,other,score 1-5 (perceived human scale; standardized beta),0.027,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S4_TRANS,visual_quality,H_ai_derived,other,score 1-5 (perceived transparency; standardized beta),-0.022,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S4_TRANS,visual_quality,H_ai_derived,other,score 1-5 (perceived transparency; standardized beta),-0.009,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S4_TRANS,visual_quality,H_ai_derived,other,score 1-5 (perceived transparency; standardized beta),-0.009,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S4_TRANS,visual_quality,H_ai_derived,other,score 1-5 (perceived transparency; standardized beta),-0.01,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S4_TRANS,visual_quality,H_ai_derived,other,score 1-5 (perceived transparency; standardized beta),-0.017,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S5_CMPLY,visual_quality,H_ai_derived,other,score 1-5 (perceived complexity; standardized beta),0.028,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S5_CMPLY,visual_quality,H_ai_derived,other,score 1-5 (perceived complexity; standardized beta),0.034,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S5_CMPLY,visual_quality,H_ai_derived,other,score 1-5 (perceived complexity; standardized beta),0.028,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S5_CMPLY,visual_quality,H_ai_derived,other,score 1-5 (perceived complexity; standardized beta),0.028,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S5_CMPLY,visual_quality,H_ai_derived,other,score 1-5 (perceived complexity; standardized beta),0.026,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S6_SAFTY,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of safety; standardized beta),-0.039,,,,***,,,medium,"AI-derived subjective perception score (street view images); perceived safety, not crime. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S6_SAFTY,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of safety; standardized beta),-0.051,,,,***,,,medium,"AI-derived subjective perception score (street view images); perceived safety, not crime. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S6_SAFTY,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of safety; standardized beta),-0.051,,,,***,,,medium,"AI-derived subjective perception score (street view images); perceived safety, not crime. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S6_SAFTY,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of safety; standardized beta),-0.052,,,,***,,,medium,"AI-derived subjective perception score (street view images); perceived safety, not crime. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S6_SAFTY,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of safety; standardized beta),-0.048,,,,***,,,medium,"AI-derived subjective perception score (street view images); perceived safety, not crime. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S7_COFRT,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of comfort; standardized beta),0.112,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S7_COFRT,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of comfort; standardized beta),0.124,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S7_COFRT,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of comfort; standardized beta),0.126,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S7_COFRT,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of comfort; standardized beta),0.123,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S7_COFRT,visual_quality,H_ai_derived,other,score 1-5 (perceived sense of comfort; standardized beta),0.112,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,S8_INTST,visual_quality,H_ai_derived,other,score 1-5 (perceived level of interest; standardized beta),-0.043,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,S8_INTST,visual_quality,H_ai_derived,other,score 1-5 (perceived level of interest; standardized beta),-0.044,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,S8_INTST,visual_quality,H_ai_derived,other,score 1-5 (perceived level of interest; standardized beta),-0.044,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,S8_INTST,visual_quality,H_ai_derived,other,score 1-5 (perceived level of interest; standardized beta),-0.041,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,S8_INTST,visual_quality,H_ai_derived,other,score 1-5 (perceived level of interest; standardized beta),-0.037,,,,***,,,medium,AI-derived subjective perception score (street view images). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,15,L1_D2CBD,cbd_distance,D_location,other,"cost network distance index (0.02-0.81, unit not stated; standardized beta)",-0.098,,,,***,,,medium,Cost network distance to CBD (Ordnance Survey network). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,M1_INT400,other,other,other,space-syntax integration [HH] R400 (index; standardized beta),0.115,,,,***,,,medium,Street-network closeness centrality (space syntax integration) radius 400 m; taxonomy other. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,15,M2_CH400,other,other,other,space-syntax choice R400 (index; standardized beta),-0.052,,,,***,,,medium,Street-network betweenness centrality (space syntax choice) radius 400 m; taxonomy other. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,M3_INT800,other,other,other,space-syntax integration R800 (index; standardized beta),0.217,,,,***,,,medium,Space syntax integration radius 800 m. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,15,M4_CH800,other,other,other,space-syntax choice R800 (index; standardized beta),-0.14,,,,***,,,medium,Space syntax choice radius 800 m. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,M5_INT2000,other,other,other,space-syntax integration R2000 (index; standardized beta),0.286,,,,***,,,medium,Space syntax integration radius 2000 m. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,15,M6_CH2000,other,other,other,space-syntax choice R2000 (index; standardized beta),-0.185,,,,***,,,medium,Space syntax choice radius 2000 m. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,M7_INT6000,other,other,other,space-syntax integration R6000 (index; standardized beta),0.324,,,,***,,,medium,Space syntax integration radius 6000 m. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,15,M8_CH6000,other,other,other,space-syntax choice R6000 (index; standardized beta),-0.087,,,,***,,,medium,Space syntax choice radius 6000 m. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,16,F1_DENLS,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of urban services POI; standardized beta),0.135,,,,***,,,medium,Density of urban services within 1 km (OS POI). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,16,F1_DENLS,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of urban services POI; standardized beta),0.111,,,,***,,,medium,Density of urban services within 1 km (OS POI). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,16,F1_DENLS,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of urban services POI; standardized beta),0.088,,,,***,,,medium,Density of urban services within 1 km (OS POI). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,16,F1_DENLS,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of urban services POI; standardized beta),0.087,,,,***,,,medium,Density of urban services within 1 km (OS POI). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,16,F1_DENLS,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of urban services POI; standardized beta),0.102,,,,***,,,medium,Density of urban services within 1 km (OS POI). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,16,F2_DENWK,employment_access,D_location,other,count within 1 km (density of workplaces; standardized beta),-0.137,,,,***,,,medium,Density of workplaces within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,16,F2_DENWK,employment_access,D_location,other,count within 1 km (density of workplaces; standardized beta),-0.177,,,,***,,,medium,Density of workplaces within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,16,F2_DENWK,employment_access,D_location,other,count within 1 km (density of workplaces; standardized beta),-0.165,,,,***,,,medium,Density of workplaces within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,16,F2_DENWK,employment_access,D_location,other,count within 1 km (density of workplaces; standardized beta),-0.164,,,,***,,,medium,Density of workplaces within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,16,F2_DENWK,employment_access,D_location,other,count within 1 km (density of workplaces; standardized beta),-0.181,,,,***,,,medium,Density of workplaces within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,16,F3_DENAT,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of attractions; standardized beta),0.419,,,,***,,,medium,Density of attractions within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,16,F3_DENAT,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of attractions; standardized beta),0.486,,,,***,,,medium,Density of attractions within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,16,F3_DENAT,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of attractions; standardized beta),0.479,,,,***,,,medium,Density of attractions within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,16,F3_DENAT,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of attractions; standardized beta),0.456,,,,***,,,medium,Density of attractions within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,16,F3_DENAT,neighbourhood_amenities,F_neighbourhood,other,count within 1 km (density of attractions; standardized beta),0.437,,,,***,,,medium,Density of attractions within 1 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,16,F4_D2UDG,transit_distance,D_location,other,km (network distance to nearest TfL station; standardized beta),-0.028,,,,***,,,medium,"Distance to TfL (underground/rail) station, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,16,F4_D2UDG,transit_distance,D_location,other,km (network distance to nearest TfL station; standardized beta),-0.019,,,,***,,,medium,"Distance to TfL (underground/rail) station, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,16,F4_D2UDG,transit_distance,D_location,other,km (network distance to nearest TfL station; standardized beta),-0.018,,,,***,,,medium,"Distance to TfL (underground/rail) station, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,16,F4_D2UDG,transit_distance,D_location,other,km (network distance to nearest TfL station; standardized beta),-0.021,,,,***,,,medium,"Distance to TfL (underground/rail) station, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,16,F4_D2UDG,transit_distance,D_location,other,km (network distance to nearest TfL station; standardized beta),-0.02,,,,***,,,medium,"Distance to TfL (underground/rail) station, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,16,F5_A2UDG,transit_distance,D_location,other,count within 3 km (number of TfL stations; standardized beta),0.048,,,,***,,,medium,Accessibility to TfL stations: count within 3 km (sign positive = more stations). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,16,F5_A2UDG,transit_distance,D_location,other,count within 3 km (number of TfL stations; standardized beta),0.044,,,,***,,,medium,Accessibility to TfL stations: count within 3 km (sign positive = more stations). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,16,F5_A2UDG,transit_distance,D_location,other,count within 3 km (number of TfL stations; standardized beta),0.046,,,,***,,,medium,Accessibility to TfL stations: count within 3 km (sign positive = more stations). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,16,F5_A2UDG,transit_distance,D_location,other,count within 3 km (number of TfL stations; standardized beta),0.041,,,,***,,,medium,Accessibility to TfL stations: count within 3 km (sign positive = more stations). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,16,F5_A2UDG,transit_distance,D_location,other,count within 3 km (number of TfL stations; standardized beta),0.009,,,,***,,,medium,Accessibility to TfL stations: count within 3 km (sign positive = more stations). Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,16,F6_D2SCH,school_distance,D_location,other,km (network distance to nearest Ofsted good+ school; standardized beta),0.041,,,,***,,,medium,"Distance to quality school, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,16,F6_D2SCH,school_distance,D_location,other,km (network distance to nearest Ofsted good+ school; standardized beta),0.031,,,,***,,,medium,"Distance to quality school, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,16,F6_D2SCH,school_distance,D_location,other,km (network distance to nearest Ofsted good+ school; standardized beta),0.032,,,,***,,,medium,"Distance to quality school, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,16,F6_D2SCH,school_distance,D_location,other,km (network distance to nearest Ofsted good+ school; standardized beta),0.03,,,,***,,,medium,"Distance to quality school, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,16,F6_D2SCH,school_distance,D_location,other,km (network distance to nearest Ofsted good+ school; standardized beta),0.034,,,,***,,,medium,"Distance to quality school, km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.","House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m0,5,Model 0,16,F7_A2SCH,school_quality,F_neighbourhood,other,count within 3 km (number of Ofsted good+ schools; standardized beta),-0.071,,,,***,,,medium,Accessibility to quality schools: count within 3 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.496,none,Baseline location attributes: cost network distance to CBD + postcode district code; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m1,5,Model 1,16,F7_A2SCH,school_quality,F_neighbourhood,other,count within 3 km (number of Ofsted good+ schools; standardized beta),-0.039,,,,***,,,medium,Accessibility to quality schools: count within 3 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.482,none,Space-syntax integration/choice at R400 replace location attributes; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m2,5,Model 2,16,F7_A2SCH,school_quality,F_neighbourhood,other,count within 3 km (number of Ofsted good+ schools; standardized beta),-0.045,,,,***,,,medium,Accessibility to quality schools: count within 3 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.484,none,Space-syntax integration/choice at R800; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m3,5,Model 3,16,F7_A2SCH,school_quality,F_neighbourhood,other,count within 3 km (number of Ofsted good+ schools; standardized beta),-0.067,,,,***,,,medium,Accessibility to quality schools: count within 3 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.486,none,Space-syntax integration/choice at R2000; Greater London transactions since 2017; R2 is adjusted
8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635,8674ce1937729ab9e1f1084511ae7a29ecdbc635:T5-m4,5,Model 4,16,F7_A2SCH,school_quality,F_neighbourhood,other,count within 3 km (number of Ofsted good+ schools; standardized beta),-0.126,,,,***,,,medium,Accessibility to quality schools: count within 3 km. Standardized (beta) regression coefficient on price per m2 in levels (eq. 3; Figure 8 and text describe Table 5 values as standardized coefficients); not a raw marginal price. No SE.,"House transaction price per m2 (GBP/m2), Land Registry PPD + EPC",per_m2,OLS,49603.0,0.494,none,Space-syntax integration/choice at R6000; Greater London transactions since 2017; R2 is adjusted
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-A,5,Regression A,16,Ln (Floor),living_area,A_structural,log,m2,0.5825,0.0086,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.71,se,"Treatment + control regions; years 2003-2006 and 2010-2013 (2007-2009 excluded); zip-code, year, month dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-A,5,Regression A,16,Ln (Age),age,A_structural,log,years,-0.0679,0.0023,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.71,se,"Treatment + control regions; years 2003-2006 and 2010-2013 (2007-2009 excluded); zip-code, year, month dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-A,5,Regression A,16,Ln (Lot),lot_size,A_structural,log,m2,0.0097,0.0013,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.71,se,"Treatment + control regions; years 2003-2006 and 2010-2013 (2007-2009 excluded); zip-code, year, month dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-A,5,Regression A,16,Co-op,other,other,dummy,binary,-0.0382,0.0107,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.71,se,"Treatment + control regions; years 2003-2006 and 2010-2013 (2007-2009 excluded); zip-code, year, month dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-A,5,Regression A,16,Twin-house,dwelling_type,A_structural,dummy,binary,-0.074,0.0069,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.71,se,"Treatment + control regions; years 2003-2006 and 2010-2013 (2007-2009 excluded); zip-code, year, month dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-A,5,Regression A,16,Row-house,dwelling_type,A_structural,dummy,binary,-0.1168,0.0074,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.71,se,"Treatment + control regions; years 2003-2006 and 2010-2013 (2007-2009 excluded); zip-code, year, month dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-A,5,Regression A,16,Apartment,dwelling_type,A_structural,dummy,binary,0.0017,0.0086,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.71,se,"Treatment + control regions; years 2003-2006 and 2010-2013 (2007-2009 excluded); zip-code, year, month dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-B,5,Regression B,16,Ln (Floor),living_area,A_structural,log,m2,0.5828,0.0086,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7117,se,As Regression A with town-specific treatment dummies
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-B,5,Regression B,16,Ln (Age),age,A_structural,log,years,-0.0676,0.0023,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7117,se,As Regression A with town-specific treatment dummies
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-B,5,Regression B,16,Ln (Lot),lot_size,A_structural,log,m2,0.0098,0.0013,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7117,se,As Regression A with town-specific treatment dummies
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-B,5,Regression B,16,Co-op,other,other,dummy,binary,-0.0389,0.0107,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7117,se,As Regression A with town-specific treatment dummies
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-B,5,Regression B,16,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0737,0.0069,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7117,se,As Regression A with town-specific treatment dummies
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-B,5,Regression B,16,Row-house,dwelling_type,A_structural,dummy,binary,-0.116,0.0074,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7117,se,As Regression A with town-specific treatment dummies
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-B,5,Regression B,16,Apartment,dwelling_type,A_structural,dummy,binary,0.0029,0.0086,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7117,se,As Regression A with town-specific treatment dummies
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-C,5,Regression C,16,Ln (Floor),living_area,A_structural,log,m2,0.6338,0.0055,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,18918.0,0.8146,se,Core town (Kristiansand) + control region; 2007-2009 excluded
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-C,5,Regression C,16,Ln (Age),age,A_structural,log,years,-0.0728,0.0018,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,18918.0,0.8146,se,Core town (Kristiansand) + control region; 2007-2009 excluded
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-C,5,Regression C,16,Ln (Lot),lot_size,A_structural,log,m2,0.0076,0.0013,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,18918.0,0.8146,se,Core town (Kristiansand) + control region; 2007-2009 excluded
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-C,5,Regression C,16,Co-op,other,other,dummy,binary,-0.0549,0.004,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,18918.0,0.8146,se,Core town (Kristiansand) + control region; 2007-2009 excluded
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-C,5,Regression C,16,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0866,0.0053,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,18918.0,0.8146,se,Core town (Kristiansand) + control region; 2007-2009 excluded
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-C,5,Regression C,16,Row-house,dwelling_type,A_structural,dummy,binary,-0.1104,0.0053,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,18918.0,0.8146,se,Core town (Kristiansand) + control region; 2007-2009 excluded
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-C,5,Regression C,16,Apartment,dwelling_type,A_structural,dummy,binary,-0.0486,0.0062,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,18918.0,0.8146,se,Core town (Kristiansand) + control region; 2007-2009 excluded
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-D,5,Regression D,16,Ln (Floor),living_area,A_structural,log,m2,0.585,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6911,se,"Treatment + control regions, all years 2003-2013, four treatment-period dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-D,5,Regression D,16,Ln (Age),age,A_structural,log,years,-0.0628,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6911,se,"Treatment + control regions, all years 2003-2013, four treatment-period dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-D,5,Regression D,16,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6911,se,"Treatment + control regions, all years 2003-2013, four treatment-period dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-D,5,Regression D,16,Co-op,other,other,dummy,binary,-0.0421,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6911,se,"Treatment + control regions, all years 2003-2013, four treatment-period dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-D,5,Regression D,16,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0694,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6911,se,"Treatment + control regions, all years 2003-2013, four treatment-period dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-D,5,Regression D,16,Row-house,dwelling_type,A_structural,dummy,binary,-0.1127,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6911,se,"Treatment + control regions, all years 2003-2013, four treatment-period dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T5-D,5,Regression D,16,Apartment,dwelling_type,A_structural,dummy,binary,0.003,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6911,se,"Treatment + control regions, all years 2003-2013, four treatment-period dummies"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2005,6,2005,18,Ln (Floor),living_area,A_structural,log,m2,0.5845,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2005"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2005,6,2005,18,Ln (Age),age,A_structural,log,years,-0.0629,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2005"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2005,6,2005,18,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2005"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2005,6,2005,18,Co-op,other,other,dummy,binary,-0.0423,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2005"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2005,6,2005,18,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0695,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2005"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2005,6,2005,18,Row-house,dwelling_type,A_structural,dummy,binary,-0.1131,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2005"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2005,6,2005,18,Apartment,dwelling_type,A_structural,dummy,binary,0.0031,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2005"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2006,6,2006,18,Ln (Floor),living_area,A_structural,log,m2,0.5848,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2006"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2006,6,2006,18,Ln (Age),age,A_structural,log,years,-0.0629,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2006"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2006,6,2006,18,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2006"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2006,6,2006,18,Co-op,other,other,dummy,binary,-0.0422,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2006"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2006,6,2006,18,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0693,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2006"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2006,6,2006,18,Row-house,dwelling_type,A_structural,dummy,binary,-0.1131,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2006"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2006,6,2006,18,Apartment,dwelling_type,A_structural,dummy,binary,0.0032,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2006"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2007,6,2007,18,Ln (Floor),living_area,A_structural,log,m2,0.585,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6902,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2007"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2007,6,2007,18,Ln (Age),age,A_structural,log,years,-0.0629,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6902,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2007"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2007,6,2007,18,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6902,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2007"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2007,6,2007,18,Co-op,other,other,dummy,binary,-0.0419,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6902,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2007"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2007,6,2007,18,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0692,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6902,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2007"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2007,6,2007,18,Row-house,dwelling_type,A_structural,dummy,binary,-0.1129,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6902,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2007"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2007,6,2007,18,Apartment,dwelling_type,A_structural,dummy,binary,0.0032,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6902,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2007"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2008,6,2008,18,Ln (Floor),living_area,A_structural,log,m2,0.5853,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6905,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2008"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2008,6,2008,18,Ln (Age),age,A_structural,log,years,-0.0628,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6905,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2008"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2008,6,2008,18,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6905,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2008"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2008,6,2008,18,Co-op,other,other,dummy,binary,-0.0417,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6905,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2008"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2008,6,2008,18,Twin-house,dwelling_type,A_structural,dummy,binary,-0.069,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6905,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2008"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2008,6,2008,18,Row-house,dwelling_type,A_structural,dummy,binary,-0.1128,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6905,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2008"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2008,6,2008,18,Apartment,dwelling_type,A_structural,dummy,binary,0.0032,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6905,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2008"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2009,6,2009,18,Ln (Floor),living_area,A_structural,log,m2,0.5853,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2009"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2009,6,2009,18,Ln (Age),age,A_structural,log,years,-0.0628,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2009"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2009,6,2009,18,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2009"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2009,6,2009,18,Co-op,other,other,dummy,binary,-0.0419,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2009"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2009,6,2009,18,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0693,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2009"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2009,6,2009,18,Row-house,dwelling_type,A_structural,dummy,binary,-0.1126,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2009"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2009,6,2009,18,Apartment,dwelling_type,A_structural,dummy,binary,0.0029,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2009"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2010,6,2010,18,Ln (Floor),living_area,A_structural,log,m2,0.5852,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2010"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2010,6,2010,18,Ln (Age),age,A_structural,log,years,-0.0627,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2010"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2010,6,2010,18,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2010"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2010,6,2010,18,Co-op,other,other,dummy,binary,-0.0418,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2010"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2010,6,2010,18,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0693,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2010"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2010,6,2010,18,Row-house,dwelling_type,A_structural,dummy,binary,-0.1128,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2010"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T6-c2010,6,2010,18,Apartment,dwelling_type,A_structural,dummy,binary,0.0034,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6909,se,"Treatment + control regions, all years 2003-2013; treatment assumed to start in 2010"
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob1,7,Rob-1,19,Ln (Floor),living_area,A_structural,log,m2,0.582,0.0086,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7095,se,Regression A with mutual-debt parameter zeta = 1.0
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob1,7,Rob-1,19,Ln (Age),age,A_structural,log,years,-0.069,0.0023,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7095,se,Regression A with mutual-debt parameter zeta = 1.0
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob1,7,Rob-1,19,Ln (Lot),lot_size,A_structural,log,m2,0.0098,0.0013,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7095,se,Regression A with mutual-debt parameter zeta = 1.0
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob1,7,Rob-1,19,Co-op,other,other,dummy,binary,0.0032,0.0107,,,,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7095,se,Regression A with mutual-debt parameter zeta = 1.0
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob1,7,Rob-1,19,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0752,0.0069,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7095,se,Regression A with mutual-debt parameter zeta = 1.0
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob1,7,Rob-1,19,Row-house,dwelling_type,A_structural,dummy,binary,-0.1168,0.0074,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7095,se,Regression A with mutual-debt parameter zeta = 1.0
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob1,7,Rob-1,19,Apartment,dwelling_type,A_structural,dummy,binary,-0.0006,0.0086,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7095,se,Regression A with mutual-debt parameter zeta = 1.0
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob2,7,Rob-2,19,Ln (Floor),living_area,A_structural,log,m2,0.5832,0.0086,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7101,se,Regression A with zeta = 0.7
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob2,7,Rob-2,19,Ln (Age),age,A_structural,log,years,-0.0664,0.0023,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7101,se,Regression A with zeta = 0.7
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob2,7,Rob-2,19,Ln (Lot),lot_size,A_structural,log,m2,0.0097,0.0013,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7101,se,Regression A with zeta = 0.7
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob2,7,Rob-2,19,Co-op,other,other,dummy,binary,-0.0896,0.0117,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7101,se,Regression A with zeta = 0.7
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob2,7,Rob-2,19,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0725,0.0069,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7101,se,Regression A with zeta = 0.7
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob2,7,Rob-2,19,Row-house,dwelling_type,A_structural,dummy,binary,-0.1167,0.0075,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7101,se,Regression A with zeta = 0.7
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob2,7,Rob-2,19,Apartment,dwelling_type,A_structural,dummy,binary,0.0048,0.0086,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,12630.0,0.7101,se,Regression A with zeta = 0.7
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob3,7,Rob-3,19,Ln (Floor),living_area,A_structural,log,m2,0.5844,0.0072,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,Placebo: treatment assumed to start in 2004; all years
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob3,7,Rob-3,19,Ln (Age),age,A_structural,log,years,-0.063,0.002,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,Placebo: treatment assumed to start in 2004; all years
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob3,7,Rob-3,19,Ln (Lot),lot_size,A_structural,log,m2,0.0094,0.0011,,,***,,,high,"Lot = lot size exceeding 1000 m2 (0 for lots below 1000 m2, co-ops and apartments)","Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,Placebo: treatment assumed to start in 2004; all years
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob3,7,Rob-3,19,Co-op,other,other,dummy,binary,-0.0423,0.0093,,,***,,,high,Co-operative ownership dummy,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,Placebo: treatment assumed to start in 2004; all years
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob3,7,Rob-3,19,Twin-house,dwelling_type,A_structural,dummy,binary,-0.0695,0.0058,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,Placebo: treatment assumed to start in 2004; all years
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob3,7,Rob-3,19,Row-house,dwelling_type,A_structural,dummy,binary,-0.1131,0.0064,,,***,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,Placebo: treatment assumed to start in 2004; all years
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob3,7,Rob-3,19,Apartment,dwelling_type,A_structural,dummy,binary,0.0031,0.0073,,,,,,high,Reference category: detached house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,17186.0,0.6901,se,Placebo: treatment assumed to start in 2004; all years
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob4,7,Rob-4,19,Ln(Floor),living_area,A_structural,log,m2,0.5716,0.0119,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,7053.0,0.6632,se,Detached houses only
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob4,7,Rob-4,19,Ln(Age),age,A_structural,log,years,-0.0625,0.0041,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,7053.0,0.6632,se,Detached houses only
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob4,7,Rob-4,19,Ln(Lot),lot_size,A_structural,log,m2,0.0103,0.0014,,,***,,,high,Lot = lot size exceeding 1000 m2,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,7053.0,0.6632,se,Detached houses only
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob5,7,Rob-5,19,Ln(Floor),living_area,A_structural,log,m2,0.4651,0.0167,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,2122.0,0.7848,se,Small houses only (row-houses and twin-houses)
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob5,7,Rob-5,19,Ln(Age),age,A_structural,log,years,-0.0661,0.0045,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,2122.0,0.7848,se,Small houses only (row-houses and twin-houses)
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob5,7,Rob-5,19,Ln(Lot),lot_size,A_structural,log,m2,0.0016,0.0023,,,***,,,high,Lot = lot size exceeding 1000 m2; stars as printed despite SE > coefficient,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,2122.0,0.7848,se,Small houses only (row-houses and twin-houses)
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob5,7,Rob-5,19,Twin-house,dwelling_type,A_structural,dummy,binary,0.0499,0.0082,,,***,,,high,Small-house subsample: reference category row-house,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,2122.0,0.7848,se,Small houses only (row-houses and twin-houses)
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob6,7,Rob-6,19,Ln(Floor),living_area,A_structural,log,m2,0.6615,0.0162,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,3455.0,0.7386,se,Apartments only
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob6,7,Rob-6,19,Ln(Age),age,A_structural,log,years,-0.0786,0.0035,,,***,,,high,,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,3455.0,0.7386,se,Apartments only
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob5,7,Rob-5,19,Co-op,other,other,dummy,binary,0.0369,0.0552,,,***,,,medium,Co-operative ownership dummy; Table 7 prints six Co-op values for seven columns; since detached houses are never co-ops (footnote 5) the values are assigned to Rob-5 and Rob-6; stars as printed despite SE > coefficient,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,2122.0,0.7848,se,Small houses only (row-houses and twin-houses)
877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c,877cbdabc2aba0920a744f15d91bf843fa770f5c:T7-Rob6,7,Rob-6,19,Co-op,other,other,dummy,binary,-0.0497,0.014,,,***,,,medium,Co-operative ownership dummy; Table 7 prints six Co-op values for seven columns; since detached houses are never co-ops (footnote 5) the values are assigned to Rob-5 and Rob-6,"Ln(Price + 0.86*mutual debt), NOK",log,OLS,3455.0,0.7386,se,Apartments only
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Bedrooms,bedrooms,A_structural,level,count,0.085,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Bedrooms,bedrooms,A_structural,level,count,0.106,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Bedrooms,bedrooms,A_structural,level,count,0.113,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Bedrooms,bedrooms,A_structural,level,count,0.112,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Baths,bathrooms,A_structural,level,count,0.112,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Baths,bathrooms,A_structural,level,count,0.096,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Baths,bathrooms,A_structural,level,count,0.079,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Baths,bathrooms,A_structural,level,count,0.08,,,,,,,medium,No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Parking,parking,A_structural,binary,binary,0.036,,,,,,,medium,Flag for parking (per section 3.2); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Parking,parking,A_structural,binary,binary,0.046,,,,,,,medium,Flag for parking (per section 3.2); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Parking,parking,A_structural,binary,binary,0.04,,,,,,,medium,Flag for parking (per section 3.2); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Parking,parking,A_structural,binary,binary,0.04,,,,,,,medium,Flag for parking (per section 3.2); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Dist. to City Centre,cbd_distance,D_location,level,unknown,-0.0,,,,,,,medium,"Euclidean distance to city centre; unit not stated (coefficient printed as −0.000, consistent with metres); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Dist. to City Centre,cbd_distance,D_location,level,unknown,-0.0,,,,,,,medium,"Euclidean distance to city centre; unit not stated (coefficient printed as −0.000, consistent with metres); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Dist. to City Centre,cbd_distance,D_location,level,unknown,-0.0,,,,,,,medium,"Euclidean distance to city centre; unit not stated (coefficient printed as −0.000, consistent with metres); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Dist. to City Centre,cbd_distance,D_location,level,unknown,-0.0,,,,,,,medium,"Euclidean distance to city centre; unit not stated (coefficient printed as −0.000, consistent with metres); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Dist. to Coast,water_proximity,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to coastline; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Dist. to Coast,water_proximity,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to coastline; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Dist. to Coast,water_proximity,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to coastline; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Dist. to Coast,water_proximity,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to coastline; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Dist. to Commercial Zones,commercial_distance,D_location,level,unknown,-0.0,,,,,,,medium,Euclidean distance to commercial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Dist. to Commercial Zones,commercial_distance,D_location,level,unknown,-0.0,,,,,,,medium,Euclidean distance to commercial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Dist. to Commercial Zones,commercial_distance,D_location,level,unknown,-0.0,,,,,,,medium,Euclidean distance to commercial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Dist. to Commercial Zones,commercial_distance,D_location,level,unknown,-0.0,,,,,,,medium,Euclidean distance to commercial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Dist. to Swim Place,other,other,level,unknown,-0.0,,,,,,,medium,Euclidean distance to nearest swimming place (beach/pool); unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Dist. to Swim Place,other,other,level,unknown,-0.0,,,,,,,medium,Euclidean distance to nearest swimming place (beach/pool); unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Dist. to Swim Place,other,other,level,unknown,-0.0,,,,,,,medium,Euclidean distance to nearest swimming place (beach/pool); unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Dist. to Swim Place,other,other,level,unknown,-0.0,,,,,,,medium,Euclidean distance to nearest swimming place (beach/pool); unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Dist. to Industrial Zones,hazard_site,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to industrial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Dist. to Industrial Zones,hazard_site,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to industrial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Dist. to Industrial Zones,hazard_site,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to industrial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Dist. to Industrial Zones,hazard_site,E_environment,level,unknown,-0.0,,,,,,,medium,Euclidean distance to industrial zones; unit not stated (coefficient printed as −0.000); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Within 400 m of Railway Station,transit_distance,D_location,dummy,binary,0.144,,,,,,,medium,Dummy: within 400 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Within 400 m of Railway Station,transit_distance,D_location,dummy,binary,0.082,,,,,,,medium,Dummy: within 400 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Within 400 m of Railway Station,transit_distance,D_location,dummy,binary,0.03,,,,,,,medium,Dummy: within 400 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Within 400 m of Railway Station,transit_distance,D_location,dummy,binary,0.03,,,,,,,medium,Dummy: within 400 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Within 800 m of Railway Station,transit_distance,D_location,dummy,binary,0.126,,,,,,,medium,"Dummy: within 800 m of a railway station (column 3 value 0.241 as printed, out of line with other columns); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Within 800 m of Railway Station,transit_distance,D_location,dummy,binary,0.077,,,,,,,medium,"Dummy: within 800 m of a railway station (column 3 value 0.241 as printed, out of line with other columns); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Within 800 m of Railway Station,transit_distance,D_location,dummy,binary,0.241,,,,,,,medium,"Dummy: within 800 m of a railway station (column 3 value 0.241 as printed, out of line with other columns); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Within 800 m of Railway Station,transit_distance,D_location,dummy,binary,0.025,,,,,,,medium,"Dummy: within 800 m of a railway station (column 3 value 0.241 as printed, out of line with other columns); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Within 1600 m of Railway Station,transit_distance,D_location,dummy,binary,0.073,,,,,,,medium,Dummy: within 1600 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Within 1600 m of Railway Station,transit_distance,D_location,dummy,binary,0.044,,,,,,,medium,Dummy: within 1600 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Within 1600 m of Railway Station,transit_distance,D_location,dummy,binary,0.004,,,,,,,medium,Dummy: within 1600 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Within 1600 m of Railway Station,transit_distance,D_location,dummy,binary,0.037,,,,,,,medium,Dummy: within 1600 m of a railway station; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Crime Rate,crime,F_neighbourhood,level,rate,-0.227,,,,,,,medium,Local crime rate; exact definition/unit not stated in extracted pages; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Crime Rate,crime,F_neighbourhood,level,rate,-0.2,,,,,,,medium,Local crime rate; exact definition/unit not stated in extracted pages; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Crime Rate,crime,F_neighbourhood,level,rate,-0.015,,,,,,,medium,Local crime rate; exact definition/unit not stated in extracted pages; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Crime Rate,crime,F_neighbourhood,level,rate,-0.01,,,,,,,medium,Local crime rate; exact definition/unit not stated in extracted pages; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Median Family Income,income,F_neighbourhood,level,currency,0.0,,,,,,,medium,"Median family income (AUD, neighbourhood); coefficient printed as 0.000; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Median Family Income,income,F_neighbourhood,level,currency,0.0,,,,,,,medium,"Median family income (AUD, neighbourhood); coefficient printed as 0.000; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Median Family Income,income,F_neighbourhood,level,currency,0.0,,,,,,,medium,"Median family income (AUD, neighbourhood); coefficient printed as 0.000; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Median Family Income,income,F_neighbourhood,level,currency,0.0,,,,,,,medium,"Median family income (AUD, neighbourhood); coefficient printed as 0.000; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Within 100 m of Main Road,highway_distance,D_location,dummy,binary,0.006,,,,,,,medium,Dummy: within 100 m of a main road; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Within 100 m of Main Road,highway_distance,D_location,dummy,binary,-0.016,,,,,,,medium,Dummy: within 100 m of a main road; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Within 100 m of Main Road,highway_distance,D_location,dummy,binary,-0.023,,,,,,,medium,Dummy: within 100 m of a main road; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Within 100 m of Main Road,highway_distance,D_location,dummy,binary,-0.022,,,,,,,medium,Dummy: within 100 m of a main road; No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE),"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c1,2,1 Baseline,10,Within 100 m of Railway Line,other,other,dummy,binary,-0.065,,,,,,,medium,"Dummy: within 100 m of a railway line (track nuisance, not a station); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.746,none,Baseline hedonic without Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Within 100 m of Railway Line,other,other,dummy,binary,-0.047,,,,,,,medium,"Dummy: within 100 m of a railway line (track nuisance, not a station); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Within 100 m of Railway Line,other,other,dummy,binary,-0.061,,,,,,,medium,"Dummy: within 100 m of a railway line (track nuisance, not a station); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Within 100 m of Railway Line,other,other,dummy,binary,-0.064,,,,,,,medium,"Dummy: within 100 m of a railway line (track nuisance, not a station); No standard error or significance printed for control variables (only the Airbnb density coefficient has a SE)","log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c2,2,2 Baseline OLS,10,Airbnb Density,other,other,log,"listings per km2 (postcode, monthly)",0.0844,0.002,,,***,,,high,log of active Airbnb listings per km2 of the property's postcode in the sale month (variable of interest); authors interpret as elasticity (x100); *** p<0.01; robust SE,"log(sale price), AUD",log,OLS,36264.0,0.796,se,Baseline OLS with log Airbnb density; no month or postcode controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c3,2,3 Control OLS,10,Airbnb Density,other,other,log,"listings per km2 (postcode, monthly)",0.0301,0.0019,,,***,,,high,log of active Airbnb listings per km2 of the property's postcode in the sale month (variable of interest); authors interpret as elasticity (x100); *** p<0.01; robust SE,"log(sale price), AUD",log,OLS,36264.0,0.868,se,OLS with month fixed effects and postcode-level controls; adjusted R2
87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f,87f031f0ad9dc17cd7151e97fc7ad56a0e7b728f:T2-c4,2,4 IV,10,Airbnb Density,other,other,log,"listings per km2 (postcode, monthly)",0.0201,0.0024,,,***,,,high,log of active Airbnb listings per km2 of the property's postcode in the sale month (variable of interest); authors interpret as elasticity (x100); *** p<0.01; robust SE,"log(sale price), AUD",log,IV,36264.0,0.871,se,Two-stage least squares; Airbnb density instrumented by shift-share (Dec-2018 density x Google Trends); month FE and postcode controls; adjusted R2
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,STRQUAL,condition,A_structural,binary,binary,0.191025,,1.733654,,,,,high,"Structural quality of property: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,REPAIR,condition,A_structural,binary,binary,0.081544,,1.380998,,,,,high,"State of repair: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,LIVIN,other,other,level,count,0.084432,,3.994811,,,,,high,Number of living rooms (1-2); printed name LIVIN,natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,BED,bedrooms,A_structural,level,count,0.072237,,3.410468,,,,,high,Number of bedrooms (3-5),natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,BATH,bathrooms,A_structural,level,count,0.061126,,4.736524,,,,,high,Number of bathrooms (2-5),natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,STORE,storage,B_interior,binary,binary,0.090283,,3.028461,,,,,high,Store room available=1,natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,BCNY,terrace_balcony,C_exterior,binary,binary,0.152038,,3.842652,,,,,high,Balcony available=1,natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,PLOT,lot_size,A_structural,level,m2,0.008826,,3.947261,,,,,high,Plot size in square metres (range 593-1407 m2),natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,NTLIGHT,sunlight,E_environment,binary,binary,0.009435,,6.884632,,,,,high,"Natural lighting: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,DISCBD,cbd_distance,D_location,dummy,binary,0.280001,,1.920375,,,,,high,"Distance to closest CBD: 1 if within 15 minutes walking distance, 0 otherwise (positive = proximity premium)",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,SECRTY,crime,F_neighbourhood,binary,binary,0.000983,,1.677463,,,,,high,"Neighbourhood security: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,ROAD,public_services,F_neighbourhood,binary,binary,0.120567,,1.814028,,,,,high,"Condition of road surface: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,WATER,public_services,F_neighbourhood,binary,binary,0.097635,,2.376251,,,,,high,"Government water supply: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,WASTE,public_services,F_neighbourhood,binary,binary,-0.039012,,-3.429712,,,,,high,"Government waste disposal services: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,SRTLIGHT,public_services,F_neighbourhood,binary,binary,0.050754,,1.092836,,,,,high,"Street lighting: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,DRAIN,public_services,F_neighbourhood,binary,binary,0.009127,,2.348283,,,,,high,"Nature of drainage: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,GREEN,green_space,E_environment,binary,binary,0.170362,,2.736555,,,,,high,"Green environment in neighbourhood (trees, flowers): good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,WINDQUA,other,other,binary,binary,0.011275,,1.983463,,,,,high,"Wind quality in building (ventilation): good=1, poor=0; printed name WINDQUA",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,LSCAPE,landscaping,C_exterior,binary,binary,0.093552,,5.012254,,,,,high,"Landscape of neighbourhood: good=1, poor=0",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111,8885ddb1a206684210159fea8394d2ea9c611111:T3-c1,3,1,13,VIEWWAT,view,E_environment,binary,binary,0.0349,,4.773652,,,,,high,"View of navigable water body: good=1, poor=0 (mean 0.0078)",natural log of annual net rental value (Naira),log,OLS,111.0,0.790123,t,"Log-linear model, detached houses, Yaba LCDA; t-statistics printed in a separate column"
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,logSQFT,living_area,A_structural,log,sqft,0.6321,0.0274,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,logSQFT,living_area,A_structural,log,sqft,0.6321,0.0275,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,logSQFT,living_area,A_structural,log,sqft,0.6309,0.0277,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,bedrooms,bedrooms,A_structural,level,count,-0.0188,0.0039,,,***,,,high,,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,bedrooms,bedrooms,A_structural,level,count,-0.0188,0.0039,,,***,,,high,,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,bedrooms,bedrooms,A_structural,level,count,-0.0187,0.004,,,***,,,high,,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,fullBaths,bathrooms,A_structural,level,count,0.0848,0.0057,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,fullBaths,bathrooms,A_structural,level,count,0.085,0.0057,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,fullBaths,bathrooms,A_structural,level,count,0.0845,0.0058,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,halfBaths,bathrooms,A_structural,level,count,0.058,0.0066,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,halfBaths,bathrooms,A_structural,level,count,0.0584,0.0065,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,halfBaths,bathrooms,A_structural,level,count,0.0589,0.0066,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,distanceCBD,cbd_distance,D_location,level,km,-0.0307,0.013,,,*,,,high,distance to CBD in km,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,distanceCBD,cbd_distance,D_location,level,km,-0.0282,0.013,,,*,,,high,distance to CBD in km,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,distanceCBD,cbd_distance,D_location,level,km,-0.0362,0.0137,,,**,,,high,distance to CBD in km,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,house,dwelling_type,A_structural,binary,binary,0.008,0.0448,,,,,,high,single-family house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,house,dwelling_type,A_structural,binary,binary,-0.027,0.0461,,,,,,high,single-family house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,house,dwelling_type,A_structural,binary,binary,-0.0804,0.0571,,,,,,high,single-family house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,rowhouse,dwelling_type,A_structural,binary,binary,0.1527,0.03,,,***,,,high,row house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,rowhouse,dwelling_type,A_structural,binary,binary,0.1516,0.03,,,***,,,high,row house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,rowhouse,dwelling_type,A_structural,binary,binary,0.1522,0.0318,,,***,,,high,row house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0001,0.0232,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0005,0.0273,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0551,0.0237,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0266,0.015,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0,0.0143,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.001,0.0309,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0044,0.0157,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0011,0.0165,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0218,0.0144,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.002,0.0217,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0015,0.0199,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0004,0.0161,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0145,0.0312,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0127,0.0166,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0032,0.0189,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.061,0.0327,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0593,0.0255,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0033,0.0236,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0217,0.0325,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0486,0.0296,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.017,0.0248,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0296,0.0503,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0443,0.0323,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0111,0.0296,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1025,0.0341,,,**,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1077,0.0413,,,**,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1284,0.052,,,*,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.104,0.0277,,,***,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0986,0.0311,,,**,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0264,0.0312,,,,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0948,0.0193,,,***,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0849,0.0217,,,***,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0643,0.0241,,,**,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0335,0.019,,,+,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0114,0.0201,,,,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0672,0.0288,,,*,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0478,0.0159,,,**,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0403,0.0176,,,*,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.047,0.0254,,,+,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0345,0.0162,,,*,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0325,0.0172,,,+,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0587,0.0183,,,**,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0174,0.0146,,,,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0145,0.0147,,,,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0956,0.0214,,,***,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c1,2,All craft breweries,11,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.05,0.0117,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c2,2,Brewpubs/taprooms only,11,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0492,0.0115,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T2-c3,2,Regional/microbreweries only,11,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0816,0.0216,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.741,se,all home transactions; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,logSQFT,living_area,A_structural,log,sqft,0.5024,0.0224,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,logSQFT,living_area,A_structural,log,sqft,0.5031,0.0225,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,logSQFT,living_area,A_structural,log,sqft,0.5014,0.0225,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,bedrooms,bedrooms,A_structural,level,count,-0.0195,0.0032,,,***,,,high,,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,bedrooms,bedrooms,A_structural,level,count,-0.0198,0.0033,,,***,,,high,,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,bedrooms,bedrooms,A_structural,level,count,-0.0195,0.0032,,,***,,,high,,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,fullBaths,bathrooms,A_structural,level,count,0.0763,0.0051,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,fullBaths,bathrooms,A_structural,level,count,0.0767,0.0051,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,fullBaths,bathrooms,A_structural,level,count,0.0759,0.0051,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,halfBaths,bathrooms,A_structural,level,count,0.0621,0.0073,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,halfBaths,bathrooms,A_structural,level,count,0.0622,0.0073,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,halfBaths,bathrooms,A_structural,level,count,0.0625,0.0072,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,distanceCBD,cbd_distance,D_location,level,km,-0.0235,0.0129,,,+,,,high,distance to CBD in km,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,distanceCBD,cbd_distance,D_location,level,km,-0.0212,0.0131,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,distanceCBD,cbd_distance,D_location,level,km,-0.0177,0.0115,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0334,0.0144,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.035,0.0163,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0259,0.0154,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0264,0.0146,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0117,0.0162,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0476,0.0165,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0178,0.0168,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0086,0.0179,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0376,0.0135,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0031,0.0208,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0032,0.0188,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0058,0.0167,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0149,0.0274,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0071,0.0175,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0129,0.0192,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0426,0.0274,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0357,0.0225,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0165,0.0277,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.037,0.0267,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0148,0.0252,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0254,0.0271,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0542,0.0229,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0271,0.0097,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.032,0.0323,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1592,0.0341,,,***,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1741,0.0306,,,***,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1507,0.0429,,,***,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1035,0.0195,,,***,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1037,0.0202,,,***,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1075,0.031,,,***,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0846,0.0175,,,***,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0709,0.0203,,,***,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0819,0.0242,,,***,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0502,0.0147,,,***,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0383,0.0158,,,*,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0921,0.0216,,,***,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0391,0.0132,,,**,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0366,0.0149,,,*,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0712,0.0176,,,***,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0381,0.0131,,,**,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0371,0.0148,,,*,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0561,0.019,,,**,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0286,0.0135,,,*,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0266,0.0148,,,+,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0895,0.0179,,,***,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c1,3,All craft breweries,12,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0379,0.0111,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c2,3,Brewpubs/taprooms only,12,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0324,0.0116,,,**,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.757,se,single-family homes; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T3-c3,3,Regional/microbreweries only,12,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0901,0.02,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.759,se,single-family homes; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,logSQFT,living_area,A_structural,log,sqft,0.7124,0.0549,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,logSQFT,living_area,A_structural,log,sqft,0.7148,0.0539,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,logSQFT,living_area,A_structural,log,sqft,0.7157,0.0545,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,bedrooms,bedrooms,A_structural,level,count,-0.0403,0.0101,,,***,,,high,,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,bedrooms,bedrooms,A_structural,level,count,-0.0397,0.0102,,,***,,,high,,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,bedrooms,bedrooms,A_structural,level,count,-0.0405,0.0103,,,***,,,high,,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,fullBaths,bathrooms,A_structural,level,count,0.1023,0.0096,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,fullBaths,bathrooms,A_structural,level,count,0.1021,0.0097,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,fullBaths,bathrooms,A_structural,level,count,0.1009,0.0102,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,halfBaths,bathrooms,A_structural,level,count,0.065,0.0167,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,halfBaths,bathrooms,A_structural,level,count,0.0655,0.0165,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,halfBaths,bathrooms,A_structural,level,count,0.0661,0.0162,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,distanceCBD,cbd_distance,D_location,level,km,-0.0102,0.0151,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,distanceCBD,cbd_distance,D_location,level,km,-0.0176,0.0157,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,distanceCBD,cbd_distance,D_location,level,km,-0.0206,0.0134,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0139,0.0188,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0094,0.0197,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0623,0.0301,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0346,0.0166,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0478,0.0213,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0124,0.0175,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0366,0.0189,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0355,0.0191,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0444,0.0168,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0044,0.0317,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0021,0.0328,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0073,0.0131,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0205,0.0366,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0095,0.0218,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0346,0.0241,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0652,0.0557,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0088,0.0453,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0209,0.0256,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0952,0.0416,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1438,0.0434,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0388,0.0334,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1198,0.0385,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0952,0.0419,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.035,0.0561,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0368,0.0339,,,,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0327,0.0427,,,,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0505,0.0411,,,,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0302,0.0289,,,,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0201,0.0349,,,,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0247,0.0311,,,,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0575,0.0284,,,*,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0323,0.0313,,,,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0737,0.0236,,,**,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0742,0.0297,,,*,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0624,0.0322,,,+,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0405,0.023,,,+,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0377,0.0212,,,+,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.04,0.0192,,,*,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0203,0.0214,,,,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0514,0.0198,,,*,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0531,0.0222,,,*,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0397,0.0224,,,+,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0193,0.0184,,,,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0031,0.019,,,,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0905,0.0201,,,***,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c1,4,All craft breweries,13,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.058,0.0168,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c2,4,Brewpubs/taprooms only,13,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0411,0.0175,,,*,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T4-c3,4,Regional/microbreweries only,13,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0907,0.0214,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.783,se,row houses; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,logSQFT,living_area,A_structural,log,sqft,0.8709,0.0432,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,logSQFT,living_area,A_structural,log,sqft,0.8711,0.0432,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,logSQFT,living_area,A_structural,log,sqft,0.8677,0.0435,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,bedrooms,bedrooms,A_structural,level,count,-0.0145,0.0125,,,,,,high,,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,bedrooms,bedrooms,A_structural,level,count,-0.0128,0.0125,,,,,,high,,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,bedrooms,bedrooms,A_structural,level,count,-0.0147,0.013,,,,,,high,,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,fullBaths,bathrooms,A_structural,level,count,0.0959,0.0165,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,fullBaths,bathrooms,A_structural,level,count,0.0944,0.0166,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,fullBaths,bathrooms,A_structural,level,count,0.0929,0.0171,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,halfBaths,bathrooms,A_structural,level,count,0.0793,0.0128,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,halfBaths,bathrooms,A_structural,level,count,0.0794,0.0124,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,halfBaths,bathrooms,A_structural,level,count,0.083,0.0128,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,distanceCBD,cbd_distance,D_location,level,km,0.0064,0.0385,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,distanceCBD,cbd_distance,D_location,level,km,0.0033,0.0391,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,distanceCBD,cbd_distance,D_location,level,km,0.0015,0.0385,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0569,0.0922,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.078,0.0939,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_0to0.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.137,0.042,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-0.5km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0556,0.0531,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0527,0.0693,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_0.5to1km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1377,0.0981,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0.5-1km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0904,0.0882,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0453,0.0973,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_1to1.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0962,0.0709,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1-1.5km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0737,0.0501,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0665,0.0597,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_1.5to2km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0532,0.0541,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 1.5-2km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1464,0.1003,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0514,0.055,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_2to2.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.2326,0.1111,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 2-2.5km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0175,0.0579,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0642,0.0751,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_2.5to3km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.09,0.0521,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 2.5-3km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0582,0.0508,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0321,0.0439,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_3to3.5km,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1687,0.1034,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3-3.5km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0732,0.0523,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0709,0.0522,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_3.5to4km,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1359,0.1111,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 3.5-4km of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.016,0.0364,,,,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0129,0.045,,,,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_0to0.5km × i.Post_0to0.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0067,0.061,,,,,,high,DID interaction: brewery within 0-0.5km × i.Post_0-0.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0987,0.0417,,,*,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1162,0.0453,,,*,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_0.5to1km × i.Post_0.5to1km,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0828,0.0401,,,*,,,high,DID interaction: brewery within 0.5-1km × i.Post_0.5-1km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0798,0.0398,,,*,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0728,0.0396,,,+,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_1to1.5km × i.Post_1to1.5km,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0408,0.0232,,,+,,,high,DID interaction: brewery within 1-1.5km × i.Post_1-1.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0052,0.0191,,,,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,-0.015,0.0249,,,,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_1.5to2km × i.Post_1.5to2km,neighbourhood_amenities,F_neighbourhood,other,binary,0.088,0.0296,,,**,,,high,DID interaction: brewery within 1.5-2km × i.Post_1.5-2km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0497,0.0322,,,,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0503,0.0343,,,,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_2to2.5km × i.Post_2to2.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0702,0.0295,,,*,,,high,DID interaction: brewery within 2-2.5km × i.Post_2-2.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,-0.011,0.0359,,,,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0061,0.0367,,,,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_2.5to3km × i.Post_2.5to3km,neighbourhood_amenities,F_neighbourhood,other,binary,0.045,0.0375,,,,,,high,DID interaction: brewery within 2.5-3km × i.Post_2.5-3km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0073,0.0194,,,,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.027,0.0206,,,,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_3to3.5km × i.Post_3to3.5km,neighbourhood_amenities,F_neighbourhood,other,binary,0.071,0.029,,,*,,,high,DID interaction: brewery within 3-3.5km × i.Post_3-3.5km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c1,5,All craft breweries,14,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1108,0.0231,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c2,5,Brewpubs/taprooms only,14,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.1158,0.0262,,,***,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.784,se,condominiums; Euclidean distance bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T5-c3,5,Regional/microbreweries only,14,i.distBrew_3.5to4km × i.Post_3.5to4km,neighbourhood_amenities,F_neighbourhood,other,binary,0.0089,0.0315,,,,,,high,DID interaction: brewery within 3.5-4km × i.Post_3.5-4km bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; Euclidean distance bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,logSQFT,living_area,A_structural,log,sqft,0.6314,0.0278,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,logSQFT,living_area,A_structural,log,sqft,0.6319,0.028,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,logSQFT,living_area,A_structural,log,sqft,0.6296,0.0277,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,bedrooms,bedrooms,A_structural,level,count,-0.019,0.0039,,,***,,,high,,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,bedrooms,bedrooms,A_structural,level,count,-0.0186,0.0039,,,***,,,high,,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,bedrooms,bedrooms,A_structural,level,count,-0.0185,0.004,,,***,,,high,,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,fullBaths,bathrooms,A_structural,level,count,0.085,0.0058,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,fullBaths,bathrooms,A_structural,level,count,0.0851,0.0058,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,fullBaths,bathrooms,A_structural,level,count,0.0851,0.0058,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,halfBaths,bathrooms,A_structural,level,count,0.0584,0.0065,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,halfBaths,bathrooms,A_structural,level,count,0.0586,0.0065,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,halfBaths,bathrooms,A_structural,level,count,0.0588,0.0066,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,distanceCBD,cbd_distance,D_location,level,km,-0.0335,0.0129,,,*,,,high,distance to CBD in km,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,distanceCBD,cbd_distance,D_location,level,km,-0.0345,0.0127,,,**,,,high,distance to CBD in km,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,distanceCBD,cbd_distance,D_location,level,km,-0.0425,0.0129,,,**,,,high,distance to CBD in km,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,house,dwelling_type,A_structural,binary,binary,-0.023,0.0328,,,,,,high,single-family house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,house,dwelling_type,A_structural,binary,binary,-0.0345,0.0362,,,,,,high,single-family house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,house,dwelling_type,A_structural,binary,binary,-0.026,0.0606,,,,,,high,single-family house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,rowhouse,dwelling_type,A_structural,binary,binary,0.1565,0.0311,,,***,,,high,row house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,rowhouse,dwelling_type,A_structural,binary,binary,0.1556,0.0311,,,***,,,high,row house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,rowhouse,dwelling_type,A_structural,binary,binary,0.1514,0.0315,,,***,,,high,row house dummy (reference: condominium),log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0053,0.0179,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0161,0.0212,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0251,0.0299,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0115,0.0232,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0077,0.0261,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0441,0.0243,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0115,0.0157,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0332,0.0165,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0233,0.0204,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.025,0.0145,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0259,0.0165,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0059,0.026,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0105,0.0099,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0075,0.0106,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0499,0.0144,,,***,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0142,0.0197,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0156,0.0191,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0037,0.0154,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0109,0.0174,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.007,0.0159,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0017,0.012,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0139,0.0265,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0073,0.0206,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0064,0.0165,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.045,0.0258,,,+,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.038,0.0275,,,,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1292,0.0608,,,*,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1092,0.0471,,,*,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1036,0.0559,,,+,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1326,0.0503,,,**,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1105,0.0215,,,***,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.109,0.0211,,,***,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0544,0.0283,,,+,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.084,0.0221,,,***,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0805,0.0233,,,***,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0613,0.0303,,,*,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0623,0.0226,,,**,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0502,0.0216,,,*,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0738,0.0491,,,,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0504,0.0209,,,*,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0283,0.0208,,,,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0646,0.0401,,,,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0348,0.0141,,,*,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0183,0.015,,,,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0751,0.0347,,,*,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c1,6,All craft breweries,16,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0276,0.0155,,,+,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c2,6,Brewpubs/taprooms only,16,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0155,0.0168,,,,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.739,se,all home transactions; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T6-c3,6,Regional/microbreweries only,16,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.076,0.0258,,,**,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,257565.0,0.74,se,all home transactions; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,logSQFT,living_area,A_structural,log,sqft,0.5034,0.0224,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,logSQFT,living_area,A_structural,log,sqft,0.5046,0.0226,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,logSQFT,living_area,A_structural,log,sqft,0.5024,0.0226,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,bedrooms,bedrooms,A_structural,level,count,-0.0195,0.0033,,,***,,,high,,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,bedrooms,bedrooms,A_structural,level,count,-0.0196,0.0033,,,***,,,high,,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,bedrooms,bedrooms,A_structural,level,count,-0.0194,0.0032,,,***,,,high,,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,fullBaths,bathrooms,A_structural,level,count,0.0762,0.0051,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,fullBaths,bathrooms,A_structural,level,count,0.0764,0.0051,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,fullBaths,bathrooms,A_structural,level,count,0.0763,0.0051,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,halfBaths,bathrooms,A_structural,level,count,0.062,0.0072,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,halfBaths,bathrooms,A_structural,level,count,0.0621,0.0072,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,halfBaths,bathrooms,A_structural,level,count,0.0621,0.0073,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,distanceCBD,cbd_distance,D_location,level,km,-0.0212,0.0121,,,+,,,high,distance to CBD in km,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,distanceCBD,cbd_distance,D_location,level,km,-0.0215,0.012,,,+,,,high,distance to CBD in km,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,distanceCBD,cbd_distance,D_location,level,km,-0.0292,0.012,,,*,,,high,distance to CBD in km,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0303,0.0148,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0327,0.018,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0315,0.0131,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0235,0.011,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0262,0.0122,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0103,0.0136,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0243,0.0142,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0122,0.0181,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0506,0.0148,,,***,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0182,0.0099,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0103,0.0108,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0308,0.0111,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0095,0.0095,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0099,0.0109,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0336,0.0137,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0249,0.0138,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0173,0.0164,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0093,0.0109,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0025,0.0166,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0064,0.015,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0072,0.0131,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0148,0.0251,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0165,0.0176,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0043,0.0161,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1607,0.0422,,,***,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1747,0.0492,,,***,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1857,0.0594,,,**,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1542,0.032,,,***,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1678,0.0256,,,***,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.128,0.0621,,,*,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1044,0.019,,,***,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1048,0.0191,,,***,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1056,0.0352,,,**,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0858,0.0186,,,***,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0873,0.023,,,***,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0786,0.031,,,*,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0851,0.0164,,,***,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0689,0.0182,,,***,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1209,0.034,,,***,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.056,0.0155,,,***,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.04,0.0173,,,*,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1207,0.0274,,,***,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0469,0.0131,,,***,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0352,0.0154,,,*,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1256,0.019,,,***,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c1,7,All craft breweries,17,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0366,0.0133,,,**,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c2,7,Brewpubs/taprooms only,17,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0257,0.0138,,,+,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.756,se,single-family homes; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T7-c3,7,Regional/microbreweries only,17,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.1041,0.0224,,,***,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,180887.0,0.758,se,single-family homes; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,logSQFT,living_area,A_structural,log,sqft,0.7188,0.0531,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,logSQFT,living_area,A_structural,log,sqft,0.7192,0.0516,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,logSQFT,living_area,A_structural,log,sqft,0.72,0.0531,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,bedrooms,bedrooms,A_structural,level,count,-0.0411,0.0102,,,***,,,high,,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,bedrooms,bedrooms,A_structural,level,count,-0.0402,0.0099,,,***,,,high,,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,bedrooms,bedrooms,A_structural,level,count,-0.0405,0.01,,,***,,,high,,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,fullBaths,bathrooms,A_structural,level,count,0.1024,0.0107,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,fullBaths,bathrooms,A_structural,level,count,0.1029,0.0108,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,fullBaths,bathrooms,A_structural,level,count,0.1006,0.0103,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,halfBaths,bathrooms,A_structural,level,count,0.0665,0.0164,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,halfBaths,bathrooms,A_structural,level,count,0.0666,0.0165,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,halfBaths,bathrooms,A_structural,level,count,0.0665,0.0164,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,distanceCBD,cbd_distance,D_location,level,km,-0.0278,0.012,,,*,,,high,distance to CBD in km,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,distanceCBD,cbd_distance,D_location,level,km,-0.0379,0.0118,,,**,,,high,distance to CBD in km,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,distanceCBD,cbd_distance,D_location,level,km,-0.0346,0.0131,,,**,,,high,distance to CBD in km,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0135,0.0194,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0032,0.0197,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0554,0.023,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0147,0.0203,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0138,0.0232,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0332,0.0227,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0388,0.0244,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0287,0.0268,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0182,0.0184,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0143,0.0422,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0048,0.047,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0133,0.016,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0505,0.0196,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0436,0.0246,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0451,0.0171,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0051,0.024,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0303,0.0227,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0068,0.0158,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0103,0.0426,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0084,0.0333,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0087,0.0193,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.092,0.0309,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0118,0.0212,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0158,0.0211,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0567,0.0441,,,,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0986,0.0494,,,*,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0367,0.0501,,,,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0533,0.0289,,,+,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0476,0.0288,,,,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0321,0.042,,,,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0692,0.0244,,,**,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0628,0.0294,,,*,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.053,0.0308,,,+,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0406,0.0283,,,,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0135,0.0327,,,,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0941,0.0356,,,**,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0463,0.0253,,,+,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.03,0.0306,,,,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0731,0.0314,,,*,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0225,0.021,,,,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0134,0.0199,,,,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0649,0.0341,,,+,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0521,0.0295,,,+,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0368,0.0335,,,,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0783,0.0282,,,**,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c1,8,All craft breweries,18,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0026,0.0119,,,,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c2,8,Brewpubs/taprooms only,18,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0109,0.0108,,,,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.78,se,row houses; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T8-c3,8,Regional/microbreweries only,18,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0611,0.0294,,,*,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,23426.0,0.781,se,row houses; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,logSQFT,living_area,A_structural,log,sqft,0.8589,0.0456,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,logSQFT,living_area,A_structural,log,sqft,0.8614,0.0456,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,logSQFT,living_area,A_structural,log,sqft,0.8463,0.0487,,,***,,,high,logged above-ground living area in square feet,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,bedrooms,bedrooms,A_structural,level,count,-0.0112,0.0125,,,,,,high,,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,bedrooms,bedrooms,A_structural,level,count,-0.0098,0.0128,,,,,,high,,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,bedrooms,bedrooms,A_structural,level,count,-0.0102,0.0133,,,,,,high,,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,fullBaths,bathrooms,A_structural,level,count,0.0951,0.0166,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,fullBaths,bathrooms,A_structural,level,count,0.0943,0.0169,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,fullBaths,bathrooms,A_structural,level,count,0.0988,0.0173,,,***,,,high,number of full bathrooms,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,halfBaths,bathrooms,A_structural,level,count,0.0839,0.0123,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,halfBaths,bathrooms,A_structural,level,count,0.0837,0.0123,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,halfBaths,bathrooms,A_structural,level,count,0.0868,0.013,,,***,,,high,number of half bathrooms,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,distanceCBD,cbd_distance,D_location,level,km,-0.0156,0.0341,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,distanceCBD,cbd_distance,D_location,level,km,-0.0107,0.0332,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,distanceCBD,cbd_distance,D_location,level,km,-0.0142,0.0394,,,,,,high,distance to CBD in km,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0012,0.0414,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0027,0.0483,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,i.walkBrew_0to5min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0093,0.1116,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 0-5min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0026,0.0936,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0151,0.0853,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,i.walkBrew_5to10min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0398,0.0495,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 5-10min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,18,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1655,0.1387,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,18,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1963,0.1965,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,18,i.walkBrew_10to15min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.032,0.049,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 10-15min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1027,0.0787,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0614,0.1,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_15to20min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.164,0.1509,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 15-20min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1252,0.0665,,,+,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.1842,0.0703,,,*,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_20to25min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1525,0.095,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 20-25min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1383,0.0504,,,**,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.1636,0.0466,,,***,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_25to30min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0648,0.0491,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 25-30min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0122,0.0383,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0269,0.0402,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_30to35min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0569,0.0499,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 30-35min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0225,0.0717,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,-0.0321,0.0658,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_35to40min,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.0566,0.0881,,,,,,high,time-invariant dummy: at least one craft brewery (ever) within 35-40min of the home,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0182,0.0541,,,,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.027,0.062,,,,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_0to5min × i.Post_0to5min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0591,0.0897,,,,,,high,DID interaction: brewery within 0-5min × i.Post_0-5min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0394,0.0389,,,,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0361,0.0421,,,,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_5to10min × i.Post_5to10min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0369,0.0519,,,,,,high,DID interaction: brewery within 5-10min × i.Post_5-10min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0712,0.0328,,,*,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0844,0.0366,,,*,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_10to15min × i.Post_10to15min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0427,0.0294,,,,,,high,DID interaction: brewery within 10-15min × i.Post_10-15min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0642,0.0271,,,*,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0672,0.0328,,,*,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_15to20min × i.Post_15to20min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.056,0.0594,,,,,,high,DID interaction: brewery within 15-20min × i.Post_15-20min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0022,0.0274,,,,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0233,0.029,,,,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_20to25min × i.Post_20to25min,neighbourhood_amenities,F_neighbourhood,other,binary,-0.0007,0.0445,,,,,,high,DID interaction: brewery within 20-25min × i.Post_20-25min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0556,0.0228,,,*,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0349,0.0283,,,,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_25to30min × i.Post_25to30min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0696,0.0291,,,*,,,high,DID interaction: brewery within 25-30min × i.Post_25-30min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0191,0.0163,,,,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0093,0.0171,,,,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_30to35min × i.Post_30to35min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0633,0.0369,,,+,,,high,DID interaction: brewery within 30-35min × i.Post_30-35min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c1,9,All craft breweries,19,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0613,0.036,,,+,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: All craft breweries
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c2,9,Brewpubs/taprooms only,19,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.0558,0.0366,,,,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.783,se,condominiums; walk-time bins; brewery type: Brewpubs/taprooms only
8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c,8965e19cc07a82548ccce5e2fba1b9f697ca577c:T9-c3,9,Regional/microbreweries only,19,i.walkBrew_35to40min × i.Post_35to40min,neighbourhood_amenities,F_neighbourhood,other,binary,0.071,0.0308,,,*,,,high,DID interaction: brewery within 35-40min × i.Post_35-40min bin opened >= 1 year before sale (price premium of craft brewery proximity); interaction term,log sale price (USD),log,OLS,53252.0,0.782,se,condominiums; walk-time bins; brewery type: Regional/microbreweries only
89e86c34d31d60b83fe1893b6d6fc9985407503c,89e86c34d31d60b83fe1893b6d6fc9985407503c,89e86c34d31d60b83fe1893b6d6fc9985407503c:T1-c1,1,1,6,Freight station neighborhood x 2011-2018,neighbourhood_amenities,F_neighbourhood,other,binary,0.03,0.013,,,***,,,medium,DID interaction: apartment in neighbourhood of converted freight station x sold after opening (2011-2018); captures access to new arts and culture centre (bundled with brownfield removal). Printed *** inconsistent with beta/SE = 2.3.,log apartment sale price,log,OLS,9742.0,0.652,se,Outer ring model (control area = within outer ring road); postal-code FE; opening dummy interacted with other covariates
89e86c34d31d60b83fe1893b6d6fc9985407503c,89e86c34d31d60b83fe1893b6d6fc9985407503c,89e86c34d31d60b83fe1893b6d6fc9985407503c:T1-c2,1,2,6,Freight station neighborhood x 2011-2018,neighbourhood_amenities,F_neighbourhood,other,binary,0.023,0.011,,,**,,,medium,DID interaction: apartment in neighbourhood of converted freight station x sold after opening (2011-2018).,log apartment sale price,log,OLS,7112.0,0.596,se,Inner ring model (control area = within inner ring road); postal-code FE; opening dummy interacted with other covariates
8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906:T2-c1,2,1,7,Number of bedrooms (NBR),bedrooms,A_structural,level,count,0.09,,2.72,,***,,,medium,count of bedrooms,Residential property monthly rentals (RPMR); specification says LN(MRP),log,OLS,90.0,0.96,t,Full sample; N not printed in table (90 per data section); t-statistics in separate column with stars; adj R2 0.92
8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906:T2-c1,2,1,7,Dedicated parking space (DPS),parking,A_structural,binary,binary,-0.01,,-0.36,,,,,medium,presumed dummy for dedicated parking space (scale not described),Residential property monthly rentals (RPMR); specification says LN(MRP),log,OLS,90.0,0.96,t,Full sample; N not printed in table (90 per data section); t-statistics in separate column with stars; adj R2 0.92
8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906:T2-c1,2,1,7,Residential property size (RPS),living_area,A_structural,log,unknown,0.01,,0.26,,,,,medium,"specification enters LN(RPS); area unit not stated; text quotes b=0.07, t=2.26 instead (inconsistent)",Residential property monthly rentals (RPMR); specification says LN(MRP),log,OLS,90.0,0.96,t,Full sample; N not printed in table (90 per data section); t-statistics in separate column with stars; adj R2 0.92
8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906:T2-c1,2,1,7,Access to electricity (AEL),public_services,F_neighbourhood,other,index,-0.18,,-5.96,,***,,,medium,access to electricity (essential services); scale not described; sign negative,Residential property monthly rentals (RPMR); specification says LN(MRP),log,OLS,90.0,0.96,t,Full sample; N not printed in table (90 per data section); t-statistics in separate column with stars; adj R2 0.92
8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906,8a99113b012c7dc5288863734eba9456a85fd906:T2-c1,2,1,7,Environmental factors,other,other,other,index,-0.12,,-3.71,,***,,,medium,"composite environmental factors (climate change exposure, sustainable practices); survey index",Residential property monthly rentals (RPMR); specification says LN(MRP),log,OLS,90.0,0.96,t,Full sample; N not printed in table (90 per data section); t-statistics in separate column with stars; adj R2 0.92
8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4:T4-rural,4,Rural region,8,Drinking-Water Characteristics (piped water connection),public_services,F_neighbourhood,binary,binary,0.0238,,,,,,,medium,"Dummy = 1 if household has a piped water connection inside the house; coefficient reproduced in the WTP table (Table 4), no SE/t printed; text claims significance at 5%",log of monthly rental value of the house (PKR),log,OLS,10735.0,,none,"Rural region subsample; semi-log hedonic rent model with house, neighbourhood, sanitation, province and region controls; only the piped-water coefficient is printed (Table 4)"
8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4:T4-urban,4,Urban region,8,Drinking-Water Characteristics (piped water connection),public_services,F_neighbourhood,binary,binary,0.07087,,,,,,,medium,"Dummy = 1 if household has a piped water connection inside the house; coefficient reproduced in the WTP table (Table 4), no SE/t printed; text claims significance at 5%",log of monthly rental value of the house (PKR),log,OLS,5149.0,,none,"Urban region subsample; semi-log hedonic rent model with house, neighbourhood, sanitation, province and region controls; only the piped-water coefficient is printed (Table 4)"
8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4:T4-rented,4,Rented houses,8,Drinking-Water Characteristics (piped water connection),public_services,F_neighbourhood,binary,binary,0.03192,,,,,,,medium,"Dummy = 1 if household has a piped water connection inside the house; coefficient reproduced in the WTP table (Table 4), no SE/t printed; text claims significance at 5%",log of monthly rental value of the house (PKR),log,OLS,15884.0,,none,"Rented houses subsample; semi-log hedonic rent model with house, neighbourhood, sanitation, province and region controls; only the piped-water coefficient is printed (Table 4)"
8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4:T4-owned,4,Owner-occupied houses,8,Drinking-Water Characteristics (piped water connection),public_services,F_neighbourhood,binary,binary,0.05122,,,,,,,medium,"Dummy = 1 if household has a piped water connection inside the house; coefficient reproduced in the WTP table (Table 4), no SE/t printed; text claims significance at 5%",log of monthly rental value of the house (PKR),log,OLS,15884.0,,none,"Owner-occupied houses subsample; semi-log hedonic rent model with house, neighbourhood, sanitation, province and region controls; only the piped-water coefficient is printed (Table 4)"
8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4:T4-urban,4,Urban region,8,No of rooms,bedrooms,A_structural,level,count,0.20409,,,,,,,medium,Number of rooms (not bedrooms); coefficient quoted in the text for the urban model (exp(0.20409)=1.26327); no SE/t,log of monthly rental value of the house (PKR),log,OLS,5149.0,,none,"Urban region subsample; semi-log hedonic rent model with house, neighbourhood, sanitation, province and region controls; only the piped-water coefficient is printed (Table 4)"
8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4,8acb5243fed06bb1f23f1332908a7f46169463e4:T4-urban,4,Urban region,8,Toilet facility inside house,other,other,binary,binary,0.06167,,,,,,,medium,Dummy for toilet inside the house (sanitation); coefficient quoted in the text for the urban model (exp(0.06167)=1.07315); no SE/t,log of monthly rental value of the house (PKR),log,OLS,5149.0,,none,"Urban region subsample; semi-log hedonic rent model with house, neighbourhood, sanitation, province and region controls; only the piped-water coefficient is printed (Table 4)"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,macro,other,other,log,index,0.948,0.008,,,***,,,high,"Estimated 2004 macro-location price level of the village (log price level index from GAM); no taxonomy leaf. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,DNWF50,living_area,A_structural,dummy,m2,-1.272,0.152,,,***,,,high,"Segment dummy: dwelling area up to 50 m2 (piecewise log-linear spline in dwelling area). Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,LNWF50,living_area,A_structural,log,m2,1.114,0.035,,,***,,,high,"Slope of ln dwelling area (m2, SIA 416) for segment up to 50 m2 (piecewise spline). Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,DNWF5075,living_area,A_structural,dummy,m2,-0.352,0.164,,,**,,,high,"Segment dummy: dwelling area 50-75 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,LNWF5075,living_area,A_structural,log,m2,0.881,0.034,,,***,,,high,"Slope of ln dwelling area for segment 50-75 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,DNWF7500,living_area,A_structural,dummy,m2,-0.056,0.179,,,,,,high,"Segment dummy: dwelling area 75-100 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,LNWF7500,living_area,A_structural,log,m2,0.82,0.036,,,***,,,high,"Slope of ln dwelling area for segment 75-100 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,LNWF0150,living_area,A_structural,log,m2,0.81,0.017,,,***,,,high,"Slope of ln dwelling area for segment 100-150 m2 (reference segment). Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,DNWF150P,living_area,A_structural,dummy,m2,-0.442,0.146,,,***,,,high,"Segment dummy: dwelling area above 150 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,LNWF150P,living_area,A_structural,log,m2,0.899,0.024,,,***,,,high,"Slope of ln dwelling area for segment above 150 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,bauj,age,A_structural,other,years,-0.652,0.073,,,***,,,high,"Construction year (year built), NOT age; enters with quadratic term bauj2; properties <=30 years old. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,bauj2,age,A_structural,other,years,0.0,0.0,,,***,,,medium,"Construction year squared; coefficient printed as 0.000 (rounded) with SE 0.000. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,stand: 4,condition,A_structural,dummy,ordinal,0.132,0.003,,,***,,,high,"Standard (quality) factor level 4 vs reference (5-level factor). Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,stand: 5,condition,A_structural,dummy,ordinal,0.276,0.006,,,***,,,high,"Standard (quality) factor level 5 vs reference. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,micro: 4,other,other,dummy,ordinal,0.119,0.003,,,***,,,high,"Micro-location factor level 4 vs reference (5-level composite of exposition, view, neighbourhood quality, proximity to services/transport, noise); no single taxonomy leaf. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TA-c1,A,1,20,micro: 5,other,other,dummy,ordinal,0.283,0.005,,,***,,,high,"Micro-location factor level 5 vs reference. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.965,se,"Condominiums, year 2004 cross-section (centred moving sample over six quarters); robust estimation; D.F. residuals 10,345; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,macro,other,other,log,index,0.892,0.01,,,***,,,high,"Estimated 2004 macro-location price level of the village; no taxonomy leaf. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,DVOL600,living_area,A_structural,dummy,m3,-1.566,0.144,,,***,,,high,"Segment dummy: cubic content up to 600 m3 (piecewise spline in ln building volume, SIA 416). Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,LVOL600,living_area,A_structural,log,m3,0.747,0.023,,,***,,,high,"Slope of ln cubic content (m3) for segment up to 600 m3; building volume used instead of floor area. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,LVOL1300,living_area,A_structural,log,m3,0.507,0.004,,,***,,,high,"Slope of ln cubic content for segment 600-1300 m3 (reference segment). Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,DVOL2300,living_area,A_structural,dummy,m3,-0.76,0.373,,,*,,,high,"Segment dummy: cubic content above 2300 m3. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,LVOL2300,living_area,A_structural,log,m3,0.627,0.051,,,***,,,high,"Slope of ln cubic content for segment above 2300 m3. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,LLA2000,lot_size,A_structural,log,m2,0.002,0.002,,,,,,high,"Slope of ln site area (m2) up to 2000 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,LLAE250,lot_size,A_structural,log,m2,0.021,0.001,,,***,,,high,"Slope of ln additional site area (landexc, m2) up to 250 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,DLAE600,lot_size,A_structural,dummy,m2,-0.301,0.085,,,***,,,high,"Segment dummy: additional site area 250-600 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,LLAE600,lot_size,A_structural,log,m2,0.077,0.014,,,***,,,high,"Slope of ln additional site area for segment 250-600 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,DLAE1800,lot_size,A_structural,dummy,m2,0.055,0.126,,,,,,high,"Segment dummy: additional site area above 600/1800 m2. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,LLAE1800,lot_size,A_structural,log,m2,0.023,0.019,,,,,,high,"Slope of ln additional site area for upper segment. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,bauj,age,A_structural,other,years,-0.146,0.087,,,.,,,high,"Construction year (year built), NOT age; quadratic with bauj2; properties <=30 years old. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,bauj2,age,A_structural,other,years,0.0,0.0,,,.,,,medium,"Construction year squared; printed as 0.000 (rounded). Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,stand: 4,condition,A_structural,dummy,ordinal,0.123,0.004,,,***,,,high,"Standard (quality) factor level 4 vs reference. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,stand: 5,condition,A_structural,dummy,ordinal,0.215,0.007,,,***,,,high,"Standard (quality) factor level 5 vs reference. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,micro: 4,other,other,dummy,ordinal,0.109,0.004,,,***,,,high,"Micro-location factor level 4 vs reference; no single taxonomy leaf. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7,8b40d59c2cf1fb45e2898b8a9d2bc70967606aa7:TB-c1,B,1,21,micro: 5,other,other,dummy,ordinal,0.289,0.006,,,***,,,high,"Micro-location factor level 5 vs reference. Standard error printed in a separate column; significance symbols: '.' 10%, * 5%, ** 1%, *** 0.1% (1 per mille).",ln transaction price (CHF),log,other,,0.937,se,"Single family houses, year 2004 cross-section; robust estimation; D.F. residuals 7,163; regional quarterly coefficients not shown"
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Close (within 1/2 mile of station),transit_distance,D_location,binary,binary (within 800 m of light rail station),0.0384,0.0136,,,**,,,high,Pre-opening proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Close (within 1/2 mile of station),transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.1298,0.0148,,,***,,,high,Pre-opening proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Close (within 1/2 mile of station),transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.1048,0.0096,,,***,,,high,Pre-opening proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Close (within 1/2 mile of station),transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.0828,0.0095,,,***,,,high,Pre-opening proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Close (within 1/2 mile of station),transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.0031,0.0085,,,,,,high,Pre-opening proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Close (within 1/2 mile of station),transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.0106,0.0096,,,,,,high,Pre-opening proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Close (within 1/2 mile of station),transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.0222,0.0154,,,,,,high,Pre-opening proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.0256,0.0285,,,,,,high,DiD treatment effect of light rail opening on prices near station; interaction term,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.0069,0.0284,,,,,,high,DiD treatment effect of light rail opening on prices near station; interaction term,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),0.1019,0.0203,,,***,,,high,DiD treatment effect of light rail opening on prices near station; interaction term,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),0.0932,0.0196,,,***,,,high,DiD treatment effect of light rail opening on prices near station; interaction term,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.0116,0.0203,,,,,,high,DiD treatment effect of light rail opening on prices near station; interaction term,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.006,0.0226,,,,,,high,DiD treatment effect of light rail opening on prices near station; interaction term,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.1347,0.0367,,,***,,,high,DiD treatment effect of light rail opening on prices near station; interaction term,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Baths,bathrooms,A_structural,level,count,0.0285,0.0107,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Baths,bathrooms,A_structural,level,count,0.0565,0.0091,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Baths,bathrooms,A_structural,level,count,0.0204,0.0064,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Baths,bathrooms,A_structural,level,count,0.0347,0.0067,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Baths,bathrooms,A_structural,level,count,0.0241,0.0055,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Baths,bathrooms,A_structural,level,count,0.0185,0.0053,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Baths,bathrooms,A_structural,level,count,0.0192,0.0057,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Size (ft2),living_area,A_structural,level,sqft,0.00035,4e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Size (ft2),living_area,A_structural,level,sqft,0.00048,2e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Size (ft2),living_area,A_structural,level,sqft,0.0003,2e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Size (ft2),living_area,A_structural,level,sqft,0.00031,2e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Size (ft2),living_area,A_structural,level,sqft,0.000431,2e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Size (ft2),living_area,A_structural,level,sqft,0.0003,2e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Size (ft2),living_area,A_structural,level,sqft,0.00031,2e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Size2,living_area,A_structural,squared,sqft squared,-5.23e-08,1.15e-08,,,***,,,high,"Columbia City value printed positive (2.03e-08), likely a missing minus sign (Table 3 gives -2.60e-08); recorded as printed",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Size2,living_area,A_structural,squared,sqft squared,-3.44e-08,3.17e-09,,,***,,,high,"Columbia City value printed positive (2.03e-08), likely a missing minus sign (Table 3 gives -2.60e-08); recorded as printed",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Size2,living_area,A_structural,squared,sqft squared,2.03e-08,5.53e-09,,,***,,,high,"Columbia City value printed positive (2.03e-08), likely a missing minus sign (Table 3 gives -2.60e-08); recorded as printed",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Size2,living_area,A_structural,squared,sqft squared,-2.15e-08,2.77e-09,,,***,,,high,"Columbia City value printed positive (2.03e-08), likely a missing minus sign (Table 3 gives -2.60e-08); recorded as printed",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Size2,living_area,A_structural,squared,sqft squared,-5.1e-08,4.76e-09,,,***,,,high,"Columbia City value printed positive (2.03e-08), likely a missing minus sign (Table 3 gives -2.60e-08); recorded as printed",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Size2,living_area,A_structural,squared,sqft squared,-2.37e-08,3.13e-09,,,***,,,high,"Columbia City value printed positive (2.03e-08), likely a missing minus sign (Table 3 gives -2.60e-08); recorded as printed",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Size2,living_area,A_structural,squared,sqft squared,-1.94e-08,3.68e-09,,,***,,,high,"Columbia City value printed positive (2.03e-08), likely a missing minus sign (Table 3 gives -2.60e-08); recorded as printed",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Age,age,A_structural,level,years,-0.00593,0.00089,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Age,age,A_structural,level,years,-0.00213,0.000821,,,**,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Age,age,A_structural,level,years,-0.00509,0.000474,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Age,age,A_structural,level,years,-0.00484,0.000497,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Age,age,A_structural,level,years,-0.004017,0.00039,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Age,age,A_structural,level,years,-0.006067,0.000376,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Age,age,A_structural,level,years,-0.006522,0.000495,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Age2,age,A_structural,squared,years squared,5e-05,7.49e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Age2,age,A_structural,squared,years squared,3.4e-05,7.43e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Age2,age,A_structural,squared,years squared,4.25e-05,4.07e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Age2,age,A_structural,squared,years squared,3.81e-05,4.36e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Age2,age,A_structural,squared,years squared,3.56e-05,3.48e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Age2,age,A_structural,squared,years squared,3.86e-05,3.79e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Age2,age,A_structural,squared,years squared,4.83e-05,6.92e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Waterfront,waterfront,C_exterior,binary,binary,0.6723,0.0712,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Waterfront,waterfront,C_exterior,binary,binary,0.2902,0.0253,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Waterfront,waterfront,C_exterior,binary,binary,0.2269,0.0234,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Waterfront,waterfront,C_exterior,binary,binary,0.4724,0.0201,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Waterfront,waterfront,C_exterior,binary,binary,0.0372,0.0498,,,,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Waterfront,waterfront,C_exterior,binary,binary,0.0584,0.0077,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,View,view,E_environment,binary,binary (outstanding view),0.0509,0.0181,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,View,view,E_environment,binary,binary (outstanding view),0.1599,0.0142,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,View,view,E_environment,binary,binary (outstanding view),0.2325,0.0103,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,View,view,E_environment,binary,binary (outstanding view),0.2869,0.0124,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,View,view,E_environment,binary,binary (outstanding view),0.2198,0.0087,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,View,view,E_environment,binary,binary (outstanding view),0.0611,0.0119,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,View,view,E_environment,binary,binary (outstanding view),0.1484,0.0112,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Lot (acres),lot_size,A_structural,level,acres,0.0509,0.0181,,,**,,,low,"Printed value for Beacon Hill (0.0509 (0.0181)) duplicates the View row exactly, apparent typesetting error (Table 3 gives 0.5880 (0.6628)); do not use",log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Lot (acres),lot_size,A_structural,level,acres,1.3753,0.1827,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Lot (acres),lot_size,A_structural,level,acres,0.8103,0.0983,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Lot (acres),lot_size,A_structural,level,acres,0.8986,0.0824,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Lot (acres),lot_size,A_structural,level,acres,-0.0818,0.0355,,,*,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Lot (acres),lot_size,A_structural,level,acres,0.2,0.0267,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Lot (acres),lot_size,A_structural,level,acres,0.5928,0.0494,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Lot2,lot_size,A_structural,squared,acres squared,3.095,1.8734,,,,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Lot2,lot_size,A_structural,squared,acres squared,-0.8996,0.1645,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Lot2,lot_size,A_structural,squared,acres squared,-0.2619,0.0904,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Lot2,lot_size,A_structural,squared,acres squared,-0.1283,0.0597,,,*,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Lot2,lot_size,A_structural,squared,acres squared,0.0322,0.0099,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Lot2,lot_size,A_structural,squared,acres squared,-0.0064,0.0114,,,,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Lot2,lot_size,A_structural,squared,acres squared,-0.2006,0.0319,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Garage (sf),garage,A_structural,level,sqft,0.00033,5e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Garage (sf),garage,A_structural,level,sqft,0.00022,4.5e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Garage (sf),garage,A_structural,level,sqft,0.00021,3e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Garage (sf),garage,A_structural,level,sqft,0.0002,2e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Garage (sf),garage,A_structural,level,sqft,0.000193,1.8e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Garage (sf),garage,A_structural,level,sqft,0.000171,1.4e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Garage (sf),garage,A_structural,level,sqft,0.000172,1.4e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c1,2,1,10,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0775,0.014,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1851.0,0.38,se,Beacon Hill station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c2,2,2,10,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.1413,0.0149,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2871.0,0.69,se,Mount Baker station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c3,2,3,10,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0701,0.0087,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,6015.0,0.52,se,Columbia City station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c4,2,4,10,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.042,0.0102,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4506.0,0.66,se,Othello station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c5,2,5,10,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0784,0.0079,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,5921.0,0.57,se,Rainier Beach station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c6,2,6,10,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.048,0.0069,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4673.0,0.63,se,Tukwila/Intl Blvd station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T2-c7,2,7,10,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.073,0.0085,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3817.0,0.7,se,SeaTac Airport station neighbourhood (houses within 2 miles of station); sales 1992-2008 (before) vs 2010-2016 (after); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Close,transit_distance,D_location,binary,binary (within 800 m of light rail station),0.0394,0.0159,,,*,,,high,Pre-construction proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Close,transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.1449,0.0174,,,***,,,high,Pre-construction proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Close,transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.1234,0.0113,,,***,,,high,Pre-construction proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Close,transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.0907,0.0119,,,***,,,high,Pre-construction proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Close,transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.0098,0.0104,,,,,,high,Pre-construction proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Close,transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.005,0.0119,,,,,,high,Pre-construction proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Close,transit_distance,D_location,binary,binary (within 800 m of light rail station),-0.0206,0.0182,,,,,,high,Pre-construction proximity differential (DiD main effect),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.0217,0.0297,,,,,,high,DiD treatment effect of light rail opening; interaction term. Othello sign printed negative here (positive in Table 2); text on p.11 says Othello effect was negative,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),0.0042,0.0297,,,,,,high,DiD treatment effect of light rail opening; interaction term. Othello sign printed negative here (positive in Table 2); text on p.11 says Othello effect was negative,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),0.1183,0.0213,,,***,,,high,DiD treatment effect of light rail opening; interaction term. Othello sign printed negative here (positive in Table 2); text on p.11 says Othello effect was negative,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.0883,0.0211,,,***,,,high,DiD treatment effect of light rail opening; interaction term. Othello sign printed negative here (positive in Table 2); text on p.11 says Othello effect was negative,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.0079,0.0215,,,,,,high,DiD treatment effect of light rail opening; interaction term. Othello sign printed negative here (positive in Table 2); text on p.11 says Othello effect was negative,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.0101,0.0243,,,,,,high,DiD treatment effect of light rail opening; interaction term. Othello sign printed negative here (positive in Table 2); text on p.11 says Othello effect was negative,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Close x After,transit_distance,D_location,other,binary interaction (within 800 m x sale after Dec 2009),-0.133,0.0384,,,***,,,high,DiD treatment effect of light rail opening; interaction term. Othello sign printed negative here (positive in Table 2); text on p.11 says Othello effect was negative,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Baths,bathrooms,A_structural,level,count,0.0282,0.0121,,,*,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Baths,bathrooms,A_structural,level,count,0.0578,0.0101,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Baths,bathrooms,A_structural,level,count,0.0154,0.0072,,,*,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Baths,bathrooms,A_structural,level,count,0.0272,0.0078,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Baths,bathrooms,A_structural,level,count,0.0198,0.0065,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Baths,bathrooms,A_structural,level,count,0.0088,0.0063,,,,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Baths,bathrooms,A_structural,level,count,0.0193,0.0067,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Size (ft2),living_area,A_structural,level,sqft,0.000352,5e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Size (ft2),living_area,A_structural,level,sqft,0.000483,2.4e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Size (ft2),living_area,A_structural,level,sqft,0.000322,2.6e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Size (ft2),living_area,A_structural,level,sqft,0.000307,1.7e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Size (ft2),living_area,A_structural,level,sqft,0.000447,2.3e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Size (ft2),living_area,A_structural,level,sqft,0.000323,1.7e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Size (ft2),living_area,A_structural,level,sqft,0.000297,2.1e-05,,,***,,,high,Quadratic in size (Size2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Size2,living_area,A_structural,squared,sqft squared,-5.52e-08,1.33e-08,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Size2,living_area,A_structural,squared,sqft squared,-3.58e-08,3.73e-09,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Size2,living_area,A_structural,squared,sqft squared,-2.6e-08,6.23e-09,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Size2,living_area,A_structural,squared,sqft squared,-2.09e-08,3.03e-09,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Size2,living_area,A_structural,squared,sqft squared,-5.38e-08,5.6e-09,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Size2,living_area,A_structural,squared,sqft squared,-2.92e-08,3.68e-09,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Size2,living_area,A_structural,squared,sqft squared,-1.34e-08,4.59e-09,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Age,age,A_structural,level,years,-0.005313,0.001009,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Age,age,A_structural,level,years,-0.001945,0.000932,,,*,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Age,age,A_structural,level,years,-0.004767,0.000535,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Age,age,A_structural,level,years,-0.004454,0.000592,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Age,age,A_structural,level,years,-0.00438,0.000465,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Age,age,A_structural,level,years,-0.006907,0.000462,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Age,age,A_structural,level,years,-0.006782,0.000571,,,***,,,high,Quadratic in age (Age2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Age2,age,A_structural,squared,years squared,4.16e-05,8.55e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Age2,age,A_structural,squared,years squared,3.22e-05,8.5e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Age2,age,A_structural,squared,years squared,3.55e-05,4.62e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Age2,age,A_structural,squared,years squared,3.02e-05,5.18e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Age2,age,A_structural,squared,years squared,3.43e-05,4.17e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Age2,age,A_structural,squared,years squared,4.13e-05,4.66e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Age2,age,A_structural,squared,years squared,4.74e-05,7.97e-06,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Waterfront,waterfront,C_exterior,binary,binary,0.6472,0.0771,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Waterfront,waterfront,C_exterior,binary,binary,0.2623,0.0283,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Waterfront,waterfront,C_exterior,binary,binary,0.204,0.0276,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Waterfront,waterfront,C_exterior,binary,binary,0.4644,0.0227,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Waterfront,waterfront,C_exterior,binary,binary,0.0394,0.0584,,,,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Waterfront,waterfront,C_exterior,binary,binary,0.0471,0.0091,,,***,,,high,Not estimable for Beacon Hill (no waterfront lots),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,View,view,E_environment,binary,binary (outstanding view),0.0611,0.02,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,View,view,E_environment,binary,binary (outstanding view),0.1537,0.0162,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,View,view,E_environment,binary,binary (outstanding view),0.2521,0.0115,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,View,view,E_environment,binary,binary (outstanding view),0.2952,0.0145,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,View,view,E_environment,binary,binary (outstanding view),0.2219,0.0102,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,View,view,E_environment,binary,binary (outstanding view),0.062,0.0144,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,View,view,E_environment,binary,binary (outstanding view),0.1446,0.013,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Lot (acres),lot_size,A_structural,level,acres,0.588,0.6628,,,,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Lot (acres),lot_size,A_structural,level,acres,1.4153,0.2061,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Lot (acres),lot_size,A_structural,level,acres,0.867,0.1091,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Lot (acres),lot_size,A_structural,level,acres,0.9429,0.0931,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Lot (acres),lot_size,A_structural,level,acres,-0.0913,0.0417,,,*,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Lot (acres),lot_size,A_structural,level,acres,0.2292,0.0313,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Lot (acres),lot_size,A_structural,level,acres,0.578,0.0567,,,***,,,high,Quadratic in lot size (Lot2 also included),log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Lot2,lot_size,A_structural,squared,acres squared,1.4301,2.4902,,,,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Lot2,lot_size,A_structural,squared,acres squared,-0.9184,0.1765,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Lot2,lot_size,A_structural,squared,acres squared,-0.2835,0.0937,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Lot2,lot_size,A_structural,squared,acres squared,-0.1501,0.0636,,,*,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Lot2,lot_size,A_structural,squared,acres squared,0.0345,0.0108,,,**,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Lot2,lot_size,A_structural,squared,acres squared,-0.0061,0.0123,,,,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Lot2,lot_size,A_structural,squared,acres squared,-0.2115,0.0349,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Garage (sf),garage,A_structural,level,sqft,0.000354,5.2e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Garage (sf),garage,A_structural,level,sqft,0.000235,5.1e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Garage (sf),garage,A_structural,level,sqft,0.000214,2.8e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Garage (sf),garage,A_structural,level,sqft,0.000223,2.8e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Garage (sf),garage,A_structural,level,sqft,0.0002,2.1e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Garage (sf),garage,A_structural,level,sqft,0.000165,1.7e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Garage (sf),garage,A_structural,level,sqft,0.000191,1.6e-05,,,***,,,high,Garage floor area in square feet,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c1,3,1,12,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0829,0.0156,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,1451.0,0.42,se,Beacon Hill station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c2,3,2,12,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.1489,0.0168,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2264.0,0.7,se,Mount Baker station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c3,3,3,12,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.066,0.0099,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4697.0,0.55,se,Columbia City station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c4,3,4,12,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0415,0.012,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3356.0,0.67,se,Othello station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c5,3,5,12,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0823,0.0092,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,4454.0,0.57,se,Rainier Beach station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c6,3,6,12,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0452,0.0082,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,3484.0,0.61,se,Tukwila/Intl Blvd station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a,8c46154fbaf164447e17b77d9874009c161a116a:T3-c7,3,7,12,Detached Garage,garage,A_structural,binary,binary (garage is detached),0.0729,0.01,,,***,,,high,,log of real relative sale price (sale price deflated by Seattle metro Case-Shiller index),log,OLS,2905.0,0.7,se,SeaTac Airport station neighbourhood; sales 1992-2003 (before construction) vs 2010-2016 (after opening); DiD
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.149,0.034,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.099,0.02,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Age,age,A_structural,level,years,-0.013,0.001,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Age,age,A_structural,level,years,-0.012,0.001,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Age,age,A_structural,level,years,-0.014,0.002,,,***,,,high,,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Age,age,A_structural,level,years,-0.014,0.002,,,***,,,high,,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,AgexAge,age,A_structural,squared,years,0.0001,0.0,,,***,,,high,SE printed as (0.0000) - rounded to zero,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,AgexAge,age,A_structural,squared,years,0.0001,0.0,,,***,,,high,SE printed as (0.0000) - rounded to zero,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,AgexAge,age,A_structural,squared,years,0.0001,0.0,,,***,,,high,SE printed as (0.0000) - rounded to zero,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,AgexAge,age,A_structural,squared,years,0.0001,0.0,,,***,,,high,SE printed as (0.0000) - rounded to zero,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Bed,bedrooms,A_structural,level,count,-0.047,0.021,,,**,,,high,,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Bed,bedrooms,A_structural,level,count,-0.042,0.02,,,**,,,high,,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Bed,bedrooms,A_structural,level,count,-0.014,0.021,,,,,,high,,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Bed,bedrooms,A_structural,level,count,-0.013,0.021,,,,,,high,,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Bath,bathrooms,A_structural,level,count,0.247,0.018,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Bath,bathrooms,A_structural,level,count,0.245,0.016,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Bath,bathrooms,A_structural,level,count,0.32,0.035,,,***,,,high,,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Bath,bathrooms,A_structural,level,count,0.315,0.033,,,***,,,high,,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Ranch,dwelling_type,A_structural,binary,binary,-0.26,0.021,,,***,,,high,ranch-style house dummy,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Ranch,dwelling_type,A_structural,binary,binary,-0.244,0.02,,,***,,,high,ranch-style house dummy,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Ranch,dwelling_type,A_structural,binary,binary,-0.036,0.042,,,,,,high,ranch-style house dummy,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Ranch,dwelling_type,A_structural,binary,binary,-0.038,0.041,,,,,,high,ranch-style house dummy,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Renovated,renovation,A_structural,binary,binary,0.253,0.032,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Renovated,renovation,A_structural,binary,binary,0.225,0.027,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Renovated,renovation,A_structural,binary,binary,0.359,0.042,,,***,,,high,,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Renovated,renovation,A_structural,binary,binary,0.345,0.038,,,***,,,high,,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Sqft,living_area,A_structural,level,100 sqft,0.009,0.001,,,***,,,high,square footage in hundreds (Table 6: Sqft (100)),Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Sqft,living_area,A_structural,level,100 sqft,0.009,0.001,,,***,,,high,square footage in hundreds (Table 6: Sqft (100)),Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Sqft,living_area,A_structural,level,100 sqft,-0.001,0.001,,,,,,high,square footage in hundreds (Table 6: Sqft (100)),Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Sqft,living_area,A_structural,level,100 sqft,-0.001,0.001,,,,,,high,square footage in hundreds (Table 6: Sqft (100)),Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Large Lot,lot_size,A_structural,binary,binary,0.012,0.028,,,,,,high,large lot indicator,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Large Lot,lot_size,A_structural,binary,binary,0.004,0.025,,,,,,high,large lot indicator,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Large Lot,lot_size,A_structural,binary,binary,0.066,0.07,,,,,,high,large lot indicator,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Large Lot,lot_size,A_structural,binary,binary,0.077,0.073,,,,,,high,large lot indicator,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Pool,pool,C_exterior,binary,binary,0.049,0.018,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Pool,pool,C_exterior,binary,binary,0.051,0.016,,,***,,,high,,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Pool,pool,C_exterior,binary,binary,0.026,0.056,,,,,,high,,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Pool,pool,C_exterior,binary,binary,0.01,0.057,,,,,,high,,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c1,3,1,38,Feature,other,other,binary,binary,0.126,0.031,,,***,,,high,special recreational feature such as access to a lake or golf course,Ln(sale price),log,OLS,40851.0,0.76,se,"full sample hedonic, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c2,3,2,38,Feature,other,other,binary,binary,0.09,0.03,,,***,,,high,special recreational feature such as access to a lake or golf course,Ln(sale price),log,OLS,40851.0,0.769,se,full sample hedonic with uniqueness control
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c3,3,3,38,Feature,other,other,binary,binary,0.023,0.083,,,,,,high,special recreational feature such as access to a lake or golf course,Ln(sale price),log,FE_panel,7317.0,0.956,se,"repeat-sale sample with property FE, no uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T3-c4,3,4,38,Feature,other,other,binary,binary,-0.004,0.078,,,,,,high,special recreational feature such as access to a lake or golf course,Ln(sale price),log,FE_panel,7317.0,0.958,se,"repeat-sale sample with property FE, with uniqueness control"
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c2,4,2,39,MLS Area Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.125,0.032,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,OLS,40851.0,0.767,se,full sample; competitor-based uniqueness
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c4,4,4,39,MLS Area Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.069,0.071,,,,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,OLS,40851.0,0.767,se,full sample; horse race
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c6,4,6,39,MLS Area Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.09,0.02,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,FE_panel,7317.0,0.958,se,repeat sale; competitor-based uniqueness
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c8,4,8,39,MLS Area Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.084,0.047,,,*,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,FE_panel,7317.0,0.957,se,repeat sale; horse race
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c3,4,3,39,MLS Area Non-Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.112,0.028,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,OLS,40851.0,0.767,se,full sample; non-competitor-based uniqueness
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c4,4,4,39,MLS Area Non-Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.059,0.061,,,,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,OLS,40851.0,0.767,se,full sample; horse race
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c7,4,7,39,MLS Area Non-Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.068,0.021,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,FE_panel,7317.0,0.957,se,repeat sale; non-competitor-based uniqueness
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T4-c8,4,8,39,MLS Area Non-Competitor Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.006,0.048,,,,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure); uniqueness relative to competing / non-competing units",Ln(sale price),log,FE_panel,7317.0,0.957,se,repeat sale; horse race
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T5A-c2,5A,2,40,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.149,0.032,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,OLS,40851.0,0.784,se,full sample; + transaction characteristics
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T5A-c3,5A,3,40,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.136,0.026,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,OLS,40851.0,0.811,se,full sample; + transaction characteristics + keyword dummies
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T5A-c4,5A,4,40,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.122,0.019,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,OLS,40851.0,0.886,se,full sample; + transaction characteristics + keywords + agent FE
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T5B-c2,5B,2,40,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.098,0.02,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,FE_panel,7317.0,0.961,se,repeat sale sample with property FE; + transaction characteristics
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T5B-c3,5B,3,40,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.08,0.015,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,FE_panel,7317.0,0.968,se,repeat sale sample with property FE; + transaction characteristics + keyword dummies
8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7,8d5f6b09f9058fc5a131a22d58a856d18ce849c7:T5B-c4,5B,4,40,MLS Area-Year Unique Score (standard),multimodal_embedding,H_ai_derived,level,standard deviation,0.05,0.018,,,***,,,high,"AI-derived: uniqueness of listing text description from machine-learning text analysis, standardised (1 SD); mapped to H_ai_derived (text-only embedding-type measure)",Ln(sale price),log,FE_panel,4117.0,0.989,se,repeat sale sample with property FE; + transaction characteristics + keywords + agent FE
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Secchi,water_quality,E_environment,log,m (Secchi depth),0.231,0.034,,,***,,,high,"ln(summer mean Secchi depth, metres); main effect = elasticity for a lake with mean log lake area (interactions demeaned); excluded categories MN and Ecoregion 8.1","ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,<150 m,water_proximity,E_environment,binary,binary,0.124,0.009,,,***,,,high,Lakefront buffer dummy: property within 150 m of the lake =1,"ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Lake Distance,water_proximity,E_environment,log,m,-0.095,0.005,,,***,,,high,"ln(distance from property to nearest lake, metres)","ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Lake Area,other,other,log,ha,0.013,0.005,,,*,,,high,"ln(lake surface area, hectares), not demeaned as a control","ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Median Income,income,F_neighbourhood,log,"currency (2016 $, block group median)",0.131,0.014,,,***,,,high,ln(block-group median income),"ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Slope,other,other,log,degrees,0.019,0.002,,,***,,,high,ln(parcel slope in degrees),"ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Elevation,other,other,log,m,-0.023,0.023,,,,,,high,"ln(parcel elevation, metres); printed as -0.0230","ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Lot Size,lot_size,A_structural,log,sqft,0.101,0.004,,,***,,,high,"ln(lot size, sq ft)","ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Building Age,age,A_structural,log,years,-0.125,0.003,,,***,,,high,ln(building age in years),"ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Building Size,living_area,A_structural,log,sqft,0.547,0.01,,,***,,,high,"ln(building size, sq ft)","ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Quarter 2,transaction_timing,G_market,dummy,binary,0.044,0.002,,,***,,,high,Sale quarter 2 dummy (reference quarter 1),"ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Quarter 3,transaction_timing,G_market,dummy,binary,0.05,0.002,,,***,,,high,Sale quarter 3 dummy (reference quarter 1),"ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2,8fb41eefcd89b6d6746d9ab5af9f6f61e2da05b2:T3-c1,3,Estimate,34,Quarter 4,transaction_timing,G_market,dummy,binary,0.015,0.002,,,***,,,high,Sale quarter 4 dummy (reference quarter 1),"ln(sale price, 2020 $)",log,OLS,485860.0,,se,"National baseline model: summer-mean Secchi within +/-5 years, lot size/building size/building age controls, 150 m lakefront buffer, properties within 1,000 m of lake, census tract x year FE, quarter FE; SE clustered by tract"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c1,2,1,10,Grocery store distance 0-399.9 meters,commercial_distance,D_location,dummy,binary (within 0-399.9 m of a grocery store site; ref > 800 m),0.076,0.028,,,***,,,high,Distance-band dummy (pre- and post-opening location effect); clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.589,se,"All observations; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c2,2,2,10,Grocery store distance 0-399.9 meters,commercial_distance,D_location,dummy,binary (within 0-399.9 m of a grocery store site; ref > 800 m),0.073,0.027,,,***,,,high,Distance-band dummy (pre- and post-opening location effect); clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.599,se,"Excludes properties with top 1% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c3,2,3,10,Grocery store distance 0-399.9 meters,commercial_distance,D_location,dummy,binary (within 0-399.9 m of a grocery store site; ref > 800 m),0.072,0.027,,,***,,,high,Distance-band dummy (pre- and post-opening location effect); clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.584,se,"Excludes properties with top 5% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c1,2,1,10,Grocery store distance 400-800 meters,commercial_distance,D_location,dummy,binary (400-800 m of a grocery store site; ref > 800 m),0.081,0.018,,,***,,,high,Distance-band dummy; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.589,se,"All observations; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c2,2,2,10,Grocery store distance 400-800 meters,commercial_distance,D_location,dummy,binary (400-800 m of a grocery store site; ref > 800 m),0.08,0.018,,,***,,,high,Distance-band dummy; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.599,se,"Excludes properties with top 1% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c3,2,3,10,Grocery store distance 400-800 meters,commercial_distance,D_location,dummy,binary (400-800 m of a grocery store site; ref > 800 m),0.076,0.017,,,***,,,high,Distance-band dummy; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.584,se,"Excludes properties with top 5% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c1,2,1,10,Grocery store distance 0-399.9 m*Post Grocery store,commercial_distance,D_location,other,binary (0-399.9 m band x post-opening indicator),0.073,0.024,,,***,,,high,DiD interaction: effect of the store opening on homes within 399.9 m; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.589,se,"All observations; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c2,2,2,10,Grocery store distance 0-399.9 m*Post Grocery store,commercial_distance,D_location,other,binary (0-399.9 m band x post-opening indicator),0.07,0.024,,,***,,,high,DiD interaction: effect of the store opening on homes within 399.9 m; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.599,se,"Excludes properties with top 1% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c3,2,3,10,Grocery store distance 0-399.9 m*Post Grocery store,commercial_distance,D_location,other,binary (0-399.9 m band x post-opening indicator),0.071,0.024,,,***,,,high,DiD interaction: effect of the store opening on homes within 399.9 m; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.584,se,"Excludes properties with top 5% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c1,2,1,10,Grocery store distance 400-800 m*Post Grocery store,commercial_distance,D_location,other,binary (400-800 m band x post-opening indicator),0.039,0.019,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.589,se,"All observations; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c2,2,2,10,Grocery store distance 400-800 m*Post Grocery store,commercial_distance,D_location,other,binary (400-800 m band x post-opening indicator),0.039,0.019,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.599,se,"Excludes properties with top 1% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T2-c3,2,3,10,Grocery store distance 400-800 m*Post Grocery store,commercial_distance,D_location,other,binary (400-800 m band x post-opening indicator),0.037,0.018,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.584,se,"Excludes properties with top 5% prices; 800 m split into two buffers (0-399.9, 400-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 0-199.9 meters,commercial_distance,D_location,dummy,binary (0-199.9 m; ref > 800 m),0.10366,0.06349,,,,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 0-199.9 meters,commercial_distance,D_location,dummy,binary (0-199.9 m; ref > 800 m),0.10062,0.06409,,,,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 0-199.9 meters,commercial_distance,D_location,dummy,binary (0-199.9 m; ref > 800 m),0.09851,0.06452,,,,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 200-399.9 meters,commercial_distance,D_location,dummy,binary (200-399.9 m; ref > 800 m),0.07078,0.0284,,,**,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 200-399.9 meters,commercial_distance,D_location,dummy,binary (200-399.9 m; ref > 800 m),0.06747,0.02844,,,**,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 200-399.9 meters,commercial_distance,D_location,dummy,binary (200-399.9 m; ref > 800 m),0.06674,0.02763,,,**,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 400-599.9 meters,commercial_distance,D_location,dummy,binary (400-599.9 m; ref > 800 m),0.0749,0.02149,,,***,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 400-599.9 meters,commercial_distance,D_location,dummy,binary (400-599.9 m; ref > 800 m),0.0705,0.02099,,,***,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 400-599.9 meters,commercial_distance,D_location,dummy,binary (400-599.9 m; ref > 800 m),0.0713,0.02115,,,***,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 600-800 meters,commercial_distance,D_location,dummy,binary (600-800 m; ref > 800 m),0.0845,0.02107,,,***,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 600-800 meters,commercial_distance,D_location,dummy,binary (600-800 m; ref > 800 m),0.0845,0.02056,,,***,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 600-800 meters,commercial_distance,D_location,dummy,binary (600-800 m; ref > 800 m),0.0788,0.02026,,,***,,,high,Distance-ring dummy; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 0-199.9 m*Post Grocery store,commercial_distance,D_location,other,binary (0-199.9 m ring x post-opening),0.09786,0.0584,,,+,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 0-199.9 m*Post Grocery store,commercial_distance,D_location,other,binary (0-199.9 m ring x post-opening),0.09685,0.05965,,,,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 0-199.9 m*Post Grocery store,commercial_distance,D_location,other,binary (0-199.9 m ring x post-opening),0.09464,0.05956,,,,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 200-399.9 m*Post Grocery store,commercial_distance,D_location,other,binary (200-399.9 m ring x post-opening),0.06805,0.02634,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 200-399.9 m*Post Grocery store,commercial_distance,D_location,other,binary (200-399.9 m ring x post-opening),0.06516,0.02617,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 200-399.9 m*Post Grocery store,commercial_distance,D_location,other,binary (200-399.9 m ring x post-opening),0.06703,0.02598,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 400-599.9 m*Post Grocery store,commercial_distance,D_location,other,binary (400-599.9 m ring x post-opening),0.01695,0.02448,,,,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 400-599.9 m*Post Grocery store,commercial_distance,D_location,other,binary (400-599.9 m ring x post-opening),0.01561,0.02377,,,,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 400-599.9 m*Post Grocery store,commercial_distance,D_location,other,binary (400-599.9 m ring x post-opening),0.01632,0.02409,,,,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c1,3,1,11,Grocery store distance 600-800 m*Post Grocery store,commercial_distance,D_location,other,binary (600-800 m ring x post-opening),0.05274,0.02271,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33849.0,0.58925,se,"All observations; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c2,3,2,11,Grocery store distance 600-800 m*Post Grocery store,commercial_distance,D_location,other,binary (600-800 m ring x post-opening),0.05241,0.02231,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,33583.0,0.59944,se,"Excludes properties with top 1% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06,90decb41b454a38dee63486b408022b766c2dc06:T3-c3,3,3,11,Grocery store distance 600-800 m*Post Grocery store,commercial_distance,D_location,other,binary (600-800 m ring x post-opening),0.04979,0.022,,,**,,,high,DiD interaction; clustered (block group) robust SE,log sale price,log,OLS,32619.0,0.58413,se,"Excludes properties with top 5% prices; four 200 m rings (0-199.9, 200-399.9, 400-599.9, 600-800 m); year FE, housing and neighbourhood controls included (not reported); SE clustered by block group"
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1988,4,1988,12,AGE,age,A_structural,level,years,-0.02119,,,0.0,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,260.0,,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1988,4,1988,12,BATH,bathrooms,A_structural,level,count,0.08929,,,0.02,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,260.0,,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1988,4,1988,12,AREA,living_area,A_structural,level,m2,0.007949,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,260.0,,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1988,4,1988,12,DIST,cbd_distance,D_location,level,m,-0.0003853,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,260.0,,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1991,4,1991,12,AGE,age,A_structural,level,years,-0.007828,,,0.0,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,247.0,,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1991,4,1991,12,BATH,bathrooms,A_structural,level,count,0.1176,,,0.0,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,247.0,,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1991,4,1991,12,AREA,living_area,A_structural,level,m2,0.005782,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,247.0,,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1991,4,1991,12,DIST,cbd_distance,D_location,level,m,-0.0002532,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,247.0,,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1991,4,1991,12,REHAB,condition,A_structural,binary,binary,-0.1517,,,0.0,,,,high,=1 if apartment must be remodeled; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,247.0,,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1995,4,1995,12,AGE,age,A_structural,level,years,-0.008497,,,0.0,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,293.0,,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1995,4,1995,12,BATH,bathrooms,A_structural,level,count,0.06929,,,0.0,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,293.0,,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1995,4,1995,12,AREA,living_area,A_structural,level,m2,0.008361,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,293.0,,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1995,4,1995,12,DIST,cbd_distance,D_location,level,m,-0.0002111,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,293.0,,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1995,4,1995,12,ELEV,accessibility,B_interior,binary,binary,0.1552,,,0.0,,,,high,=1 if building has an elevator; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,293.0,,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-1995,4,1995,12,HEAT,heating,A_structural,binary,binary,0.07528,,,0.0,,,,high,=1 if central heating; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,293.0,,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,AGE,age,A_structural,level,years,-0.006176,,,0.0,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,BATH,bathrooms,A_structural,level,count,0.09256,,,0.0,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,AREA,living_area,A_structural,level,m2,0.005951,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,DIST,cbd_distance,D_location,level,m,-0.0002257,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,REHAB,condition,A_structural,binary,binary,-0.06733,,,0.008,,,,high,=1 if apartment must be remodeled; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,ELEV,accessibility,B_interior,binary,binary,0.1187,,,0.0,,,,high,=1 if building has an elevator; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,HEAT,heating,A_structural,binary,binary,0.04679,,,0.06,,,,high,=1 if central heating; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,FLOOR,floor_level,A_structural,binary,binary,-0.1056,,,0.059,,,,high,=1 if apartment on a low floor; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T4-2005,4,2005,12,SPORT,recreation_private,C_exterior,binary,binary,0.1278,,,0.011,,,,high,=1 if complex has sports facilities; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,other,207.0,,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1988,6,1988,14,AGE,age,A_structural,level,years,-0.02033,,,0.0,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,260.0,0.8176,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1988,6,1988,14,BATH,bathrooms,A_structural,level,count,0.1269,,,0.004,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,260.0,0.8176,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1988,6,1988,14,AREA,living_area,A_structural,level,m2,0.008506,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,260.0,0.8176,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1988,6,1988,14,DIST,cbd_distance,D_location,level,m,-0.0003521,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,260.0,0.8176,p,listings in 1988
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1991,6,1991,14,AGE,age,A_structural,level,years,-0.006484,,,0.0,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,247.0,0.8278,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1991,6,1991,14,BATH,bathrooms,A_structural,level,count,0.1788,,,0.0,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,247.0,0.8278,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1991,6,1991,14,AREA,living_area,A_structural,level,m2,0.005766,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,247.0,0.8278,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1991,6,1991,14,DIST,cbd_distance,D_location,level,m,-0.000251,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,247.0,0.8278,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1991,6,1991,14,REHAB,condition,A_structural,binary,binary,-0.1981,,,0.0,,,,high,=1 if apartment must be remodeled; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,247.0,0.8278,p,listings in 1991
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1995,6,1995,14,AGE,age,A_structural,level,years,-0.01035,,,0.0,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,293.0,0.9234,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1995,6,1995,14,BATH,bathrooms,A_structural,level,count,0.09536,,,0.002,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,293.0,0.9234,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1995,6,1995,14,AREA,living_area,A_structural,level,m2,0.01188,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,293.0,0.9234,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1995,6,1995,14,DIST,cbd_distance,D_location,level,m,-0.0002685,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,293.0,0.9234,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1995,6,1995,14,ELEV,accessibility,B_interior,binary,binary,0.254,,,0.0,,,,high,=1 if building has an elevator; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,293.0,0.9234,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-1995,6,1995,14,HEAT,heating,A_structural,binary,binary,0.155,,,0.0,,,,high,=1 if central heating; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,293.0,0.9234,p,listings in 1995
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,AGE,age,A_structural,level,years,-0.006583,,,0.001,,,,high,age of apartment in years adjusted for major rehabilitation; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,BATH,bathrooms,A_structural,level,count,0.1107,,,0.002,,,,high,; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,AREA,living_area,A_structural,level,m2,0.006125,,,0.0,,,,high,floor area in m2; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,DIST,cbd_distance,D_location,level,m,-0.0002139,,,0.0,,,,high,Euclidean distance in metres from the CBD; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,REHAB,condition,A_structural,binary,binary,-0.06925,,,0.048,,,,high,=1 if apartment must be remodeled; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,ELEV,accessibility,B_interior,binary,binary,0.1875,,,0.0,,,,high,=1 if building has an elevator; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,HEAT,heating,A_structural,binary,binary,0.07201,,,0.053,,,,high,=1 if central heating; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,FLOOR,floor_level,A_structural,binary,binary,-0.1482,,,0.079,,,,high,=1 if apartment on a low floor; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3,91a343b71c11d4139d2606d6c4d1c5fc64cbc6c3:T6-2005,6,2005,14,SPORT,recreation_private,C_exterior,binary,binary,0.1376,,,0.041,,,,high,=1 if complex has sports facilities; only p-value printed (no SE),log listing price (PRICE in 1000 euros),log,OLS,207.0,0.7745,p,listings in 2005
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",22,Energy,public_services,F_neighbourhood,level,currency (COP per month),3.55e-06,1.28e-06,,,,,,high,"Monthly energy (electricity) subsidy, Colombian pesos; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",22,Water and sewerage,public_services,F_neighbourhood,level,currency (COP per month),2.41e-06,5.32e-07,,,,,,high,"Monthly piped water and sewerage subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",22,Piped gas,public_services,F_neighbourhood,level,currency (COP per month),-2.91e-06,4.75e-06,,,,,,high,"Monthly piped gas subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",22,Energy squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,1.1e-10,3.91e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",22,Water and sewerage squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,4.58e-13,7.22e-12,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",22,Piped gas squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,6.32e-10,7.05e-10,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cB,6,"B (whole sample, eq. 2)",22,Energy,public_services,F_neighbourhood,level,currency (COP per month),3.51e-06,1.22e-06,,,,,,high,"Monthly energy (electricity) subsidy, Colombian pesos; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8823,se,Whole sample with stratum-boundary dummies (RD design); only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cB,6,"B (whole sample, eq. 2)",22,Water and sewerage,public_services,F_neighbourhood,level,currency (COP per month),2.07e-06,5.59e-07,,,,,,high,"Monthly piped water and sewerage subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8823,se,Whole sample with stratum-boundary dummies (RD design); only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cB,6,"B (whole sample, eq. 2)",22,Piped gas,public_services,F_neighbourhood,level,currency (COP per month),-2.17e-07,4.61e-06,,,,,,high,"Monthly piped gas subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8823,se,Whole sample with stratum-boundary dummies (RD design); only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cB,6,"B (whole sample, eq. 2)",22,Energy squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,1.02e-10,3.64e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8823,se,Whole sample with stratum-boundary dummies (RD design); only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cB,6,"B (whole sample, eq. 2)",22,Water and sewerage squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,-3.63e-14,8.48e-12,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8823,se,Whole sample with stratum-boundary dummies (RD design); only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cB,6,"B (whole sample, eq. 2)",22,Piped gas squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,2.19e-10,6.89e-10,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8823,se,Whole sample with stratum-boundary dummies (RD design); only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cC,6,C (500m),22,Energy,public_services,F_neighbourhood,level,currency (COP per month),5.21e-06,1.83e-06,,,,,,high,"Monthly energy (electricity) subsidy, Colombian pesos; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,2085.0,0.9049,se,Houses within 500 m of each other across a stratum boundary (~250 m from boundary) with boundary dummies; only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cC,6,C (500m),22,Water and sewerage,public_services,F_neighbourhood,level,currency (COP per month),2.13e-06,9.1e-07,,,,,,high,"Monthly piped water and sewerage subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,2085.0,0.9049,se,Houses within 500 m of each other across a stratum boundary (~250 m from boundary) with boundary dummies; only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cC,6,C (500m),22,Piped gas,public_services,F_neighbourhood,level,currency (COP per month),-1.34e-06,6.7e-06,,,,,,high,"Monthly piped gas subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,2085.0,0.9049,se,Houses within 500 m of each other across a stratum boundary (~250 m from boundary) with boundary dummies; only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cC,6,C (500m),22,Energy squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,1.1e-10,5.05e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,2085.0,0.9049,se,Houses within 500 m of each other across a stratum boundary (~250 m from boundary) with boundary dummies; only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cC,6,C (500m),22,Water and sewerage squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,-8.76e-12,2.02e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,2085.0,0.9049,se,Houses within 500 m of each other across a stratum boundary (~250 m from boundary) with boundary dummies; only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cC,6,C (500m),22,Piped gas squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,2.49e-09,1.09e-09,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,2085.0,0.9049,se,Houses within 500 m of each other across a stratum boundary (~250 m from boundary) with boundary dummies; only subsidy coefficients reported
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cA,7,"A (all sample, eq. 1)",25,Energy,public_services,F_neighbourhood,level,currency (COP per month),1.59e-06,1.23e-06,,,,,,high,"Monthly energy (electricity) subsidy, Colombian pesos; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8741,se,"IV: stratum instrumented to correct measurement error; whole sample, no boundary dummies"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cA,7,"A (all sample, eq. 1)",25,Water and sewerage,public_services,F_neighbourhood,level,currency (COP per month),3.01e-06,6.04e-07,,,,,,high,"Monthly piped water and sewerage subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8741,se,"IV: stratum instrumented to correct measurement error; whole sample, no boundary dummies"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cA,7,"A (all sample, eq. 1)",25,Piped gas,public_services,F_neighbourhood,level,currency (COP per month),3.29e-06,4.68e-06,,,,,,high,"Monthly piped gas subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8741,se,"IV: stratum instrumented to correct measurement error; whole sample, no boundary dummies"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cA,7,"A (all sample, eq. 1)",25,Energy squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,7.76e-11,3.87e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8741,se,"IV: stratum instrumented to correct measurement error; whole sample, no boundary dummies"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cA,7,"A (all sample, eq. 1)",25,Water and sewerage squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,-1.76e-11,1.2e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8741,se,"IV: stratum instrumented to correct measurement error; whole sample, no boundary dummies"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cA,7,"A (all sample, eq. 1)",25,Piped gas squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,1.8e-09,7.34e-10,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8741,se,"IV: stratum instrumented to correct measurement error; whole sample, no boundary dummies"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cB,7,"B (all sample, eq. 2)",25,Energy,public_services,F_neighbourhood,level,currency (COP per month),1.63e-06,1.21e-06,,,,,,high,"Monthly energy (electricity) subsidy, Colombian pesos; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8837,se,"IV with boundary dummies, whole sample"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cB,7,"B (all sample, eq. 2)",25,Water and sewerage,public_services,F_neighbourhood,level,currency (COP per month),2.67e-06,5.99e-07,,,,,,high,"Monthly piped water and sewerage subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8837,se,"IV with boundary dummies, whole sample"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cB,7,"B (all sample, eq. 2)",25,Piped gas,public_services,F_neighbourhood,level,currency (COP per month),3.7e-06,4.64e-06,,,,,,high,"Monthly piped gas subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8837,se,"IV with boundary dummies, whole sample"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cB,7,"B (all sample, eq. 2)",25,Energy squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,8.79e-11,3.63e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8837,se,"IV with boundary dummies, whole sample"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cB,7,"B (all sample, eq. 2)",25,Water and sewerage squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,-1.89e-11,1.18e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8837,se,"IV with boundary dummies, whole sample"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cB,7,"B (all sample, eq. 2)",25,Piped gas squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,1.51e-09,7.15e-10,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,5155.0,0.8837,se,"IV with boundary dummies, whole sample"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cC,7,C (500m),25,Energy,public_services,F_neighbourhood,level,currency (COP per month),4.78e-06,1.97e-06,,,,,,high,"Monthly energy (electricity) subsidy, Colombian pesos; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,2002.0,0.9057,se,"IV with boundary dummies, houses within 500 m across boundary (preferred RD estimate)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cC,7,C (500m),25,Water and sewerage,public_services,F_neighbourhood,level,currency (COP per month),2.42e-06,9.35e-07,,,,,,high,"Monthly piped water and sewerage subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,2002.0,0.9057,se,"IV with boundary dummies, houses within 500 m across boundary (preferred RD estimate)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cC,7,C (500m),25,Piped gas,public_services,F_neighbourhood,level,currency (COP per month),-6.44e-06,7.16e-06,,,,,,high,"Monthly piped gas subsidy, COP; utility cross-subsidy received by the household (negative = contribution)","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,2002.0,0.9057,se,"IV with boundary dummies, houses within 500 m across boundary (preferred RD estimate)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cC,7,C (500m),25,Energy squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,4.42e-11,5.81e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,2002.0,0.9057,se,"IV with boundary dummies, houses within 500 m across boundary (preferred RD estimate)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cC,7,C (500m),25,Water and sewerage squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,-9.47e-12,2.17e-11,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,2002.0,0.9057,se,"IV with boundary dummies, houses within 500 m across boundary (preferred RD estimate)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T7-cC,7,C (500m),25,Piped gas squared,public_services,F_neighbourhood,squared,currency (COP per month) squared,2.06e-09,1.06e-09,,,,,,high,Quadratic term of the monthly utility subsidy; utility cross-subsidy received by the household (negative = contribution),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,IV,2002.0,0.9057,se,"IV with boundary dummies, houses within 500 m across boundary (preferred RD estimate)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Number of rooms,bedrooms,A_structural,level,count,0.0182,,4.9,,,,,high,Total number of rooms,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Number of bathrooms,bathrooms,A_structural,level,count,0.1071,,15.9,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with piped gas service,other,other,binary,binary,0.0187,,1.9,,,,,high,Piped natural gas connection,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with telephone,other,other,binary,binary,-0.0101,,-0.6,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with garden,garden,C_exterior,binary,binary,0.0193,,2.2,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with courtyard,terrace_balcony,C_exterior,binary,binary,0.0269,,1.2,,,,,high,Courtyard (patio),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with garage,garage,A_structural,binary,binary,0.0631,,6.7,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with terrace,terrace_balcony,C_exterior,binary,binary,-0.0139,,-1.4,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Parks in neighborhood,green_space,E_environment,binary,binary,0.0722,,5.6,,,,,high,Presence of parks in the neighbourhood (ECV2003 household report),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with damage due to a natural disaster,other,other,binary,binary,0.0042,,0.1,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House in area vulnerable to natural disasters,other,other,binary,binary,-0.0415,,-1.7,,,,,high,Natural hazard exposure (not specific to flood),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Factories in neighborhood,hazard_site,E_environment,binary,binary,-0.0131,,-1.1,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Garbage collector in neighborhood,hazard_site,E_environment,binary,binary,-0.0728,,-2.6,,,,,high,Garbage dump/collection site in neighbourhood,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Market places in neighborhood,commercial_distance,D_location,binary,binary (presence in neighbourhood),0.0127,,0.7,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Airport in neighborhood,airport_distance,D_location,binary,binary (presence in neighbourhood),-0.0315,,-1.3,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Terminals of ground transportation in neighborhood,transit_distance,D_location,binary,binary (presence in neighbourhood),0.047,,2.2,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House close to open sewers,hazard_site,E_environment,binary,binary,-0.0556,,-4.7,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Plants of residual water treatment in neighborhood,hazard_site,E_environment,binary,binary,0.2513,,6.4,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Lines of hydrocarbon transportation in neighborhood,hazard_site,E_environment,binary,binary,0.1315,,3.8,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House close to high tension lines of electricity transmission,hazard_site,E_environment,binary,binary,-0.0084,,-0.3,,,,,high,Power lines,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Feeling of safety in your neighborhood,crime,F_neighbourhood,binary,binary (perceived safety),0.0121,,1.5,,,,,high,Perceived safety (inverse of crime),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Toilet inside the house,other,other,binary,binary,-0.0453,,-0.9,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Daily supply of water,public_services,F_neighbourhood,binary,binary,0.0063,,0.2,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Provision of water is inside the house,other,other,binary,binary,-0.0062,,-0.1,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Kitchen is separate room in the house,kitchen_quality,B_interior,binary,binary,0.1054,,2.7,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House,dwelling_type,A_structural,binary,binary (house vs apartment etc.),-0.1301,,-13.1,,,,,high,Dummy = 1 if living in a house (as opposed to an apartment),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,"Wall material: brick, block, stone, or polished wood",roof_materials,A_structural,binary,binary,0.0254,,0.6,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,"Floor material: marmol, parquet, or lacquered wood",flooring,B_interior,binary,binary,0.0049,,0.2,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Floor material is carpet,flooring,B_interior,binary,binary,0.0548,,2.4,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,"Floor material: floor tile, vinyl, tablet, or wood",flooring,B_interior,binary,binary,0.0136,,0.7,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,"Floor material: cement, gravilla, earth, or sand",flooring,B_interior,binary,binary,-0.0971,,-4.1,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with toilet connected to the public sewerage,public_services,F_neighbourhood,binary,binary,0.2671,,2.8,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,House with potable water service,public_services,F_neighbourhood,binary,binary,0.0894,,1.0,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Number of infantile shelters by censal sector,neighbourhood_amenities,F_neighbourhood,level,count,-0.0148,,-1.2,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Number of asylums by censal sector,neighbourhood_amenities,F_neighbourhood,level,count,0.0153,,1.86,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Number of prisons by censal sector,other,other,level,count,0.0479,,1.7,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Number of convents by censal sector,neighbourhood_amenities,F_neighbourhood,level,count,0.0316,,7.0,,,,,high,,"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Stratum 2,income,F_neighbourhood,dummy,binary,0.2364,,6.0,,,,,medium,"Official socioeconomic stratum of the block (1-6, base stratum 1), proxy for neighbourhood wealth","logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Stratum 3,income,F_neighbourhood,dummy,binary,0.6205,,13.6,,,,,medium,Official socioeconomic stratum (base stratum 1),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Stratum 4,income,F_neighbourhood,dummy,binary,0.917,,17.8,,,,,medium,Official socioeconomic stratum (base stratum 1),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Stratum 5,income,F_neighbourhood,dummy,binary,1.1879,,19.9,,,,,medium,Official socioeconomic stratum (base stratum 1),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Stratum 6,income,F_neighbourhood,dummy,binary,1.4192,,19.8,,,,,medium,Official socioeconomic stratum (base stratum 1),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",45,Area of the land (square meters),lot_size,A_structural,level,m2,0.001,,5.4,,,,,high,Main effect (stratum 1); Land*stratum interactions also included (not extracted),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d,91b7dd63d779b9bfc5961da2cf5599ed5160c16d:T6-cA,6,"A (whole sample, eq. 1)",46,Built area (square meters),living_area,A_structural,level,m2,0.0039,,21.2,,,,,high,Main effect (stratum 1); Constructed area*stratum interactions also included (not extracted),"logarithm of house valuation (DACD cadastral appraisal, Colombian pesos)",log,OLS,5292.0,0.8715,se,"Whole sample, no boundary dummies, 19 Bogota neighbourhood FE, disaggregated subsidies; full set of hedonic controls reported in Appendix A-5 (pp.45-46, t-statistics)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,Distance<200m (dist2),transit_distance,D_location,dummy,m,0.09,0.052,,,*,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,Distance<200m (dist2),transit_distance,D_location,dummy,m,0.09,0.049,,,*,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,Distance<200m (dist2),transit_distance,D_location,dummy,m,0.172,0.051,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,Distance<200m (dist2),transit_distance,D_location,dummy,m,0.173,0.048,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,201 to 300m (dist3),transit_distance,D_location,dummy,m,0.118,0.024,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,201 to 300m (dist3),transit_distance,D_location,dummy,m,0.125,0.023,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,201 to 300m (dist3),transit_distance,D_location,dummy,m,0.191,0.023,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,201 to 300m (dist3),transit_distance,D_location,dummy,m,0.193,0.022,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,301 to 400m (dist4),transit_distance,D_location,dummy,m,-0.029,0.022,,,,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,301 to 400m (dist4),transit_distance,D_location,dummy,m,0.009,0.021,,,,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,301 to 400m (dist4),transit_distance,D_location,dummy,m,0.054,0.022,,,**,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,301 to 400m (dist4),transit_distance,D_location,dummy,m,0.085,0.021,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,401 to 500m (dist5),transit_distance,D_location,dummy,m,-0.063,0.025,,,**,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,401 to 500m (dist5),transit_distance,D_location,dummy,m,-0.04,0.023,,,*,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,401 to 500m (dist5),transit_distance,D_location,dummy,m,0.014,0.024,,,,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,401 to 500m (dist5),transit_distance,D_location,dummy,m,0.034,0.023,,,,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,501 to 600m (dist6),transit_distance,D_location,dummy,m,0.069,0.026,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,501 to 600m (dist6),transit_distance,D_location,dummy,m,0.088,0.025,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,501 to 600m (dist6),transit_distance,D_location,dummy,m,0.14,0.026,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,501 to 600m (dist6),transit_distance,D_location,dummy,m,0.158,0.025,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,601 to 700m (dist7),transit_distance,D_location,dummy,m,-0.035,0.019,,,*,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,601 to 700m (dist7),transit_distance,D_location,dummy,m,-0.053,0.018,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,601 to 700m (dist7),transit_distance,D_location,dummy,m,0.03,0.019,,,,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,601 to 700m (dist7),transit_distance,D_location,dummy,m,0.008,0.018,,,,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,701 to 800m (dist8),transit_distance,D_location,dummy,m,-0.156,0.019,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,701 to 800m (dist8),transit_distance,D_location,dummy,m,-0.161,0.018,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,701 to 800m (dist8),transit_distance,D_location,dummy,m,-0.087,0.019,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,701 to 800m (dist8),transit_distance,D_location,dummy,m,-0.096,0.018,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,801 to 900m (dist9),transit_distance,D_location,dummy,m,-0.026,0.017,,,,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,801 to 900m (dist9),transit_distance,D_location,dummy,m,-0.052,0.016,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,801 to 900m (dist9),transit_distance,D_location,dummy,m,0.062,0.017,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,801 to 900m (dist9),transit_distance,D_location,dummy,m,0.033,0.016,,,**,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,901 to 1000m (dist10),transit_distance,D_location,dummy,m,0.03,0.017,,,*,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,901 to 1000m (dist10),transit_distance,D_location,dummy,m,0.087,0.016,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,901 to 1000m (dist10),transit_distance,D_location,dummy,m,0.113,0.017,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,901 to 1000m (dist10),transit_distance,D_location,dummy,m,0.162,0.016,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,1001 to 1100m (dist11),transit_distance,D_location,dummy,m,0.197,0.013,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,1001 to 1100m (dist11),transit_distance,D_location,dummy,m,0.166,0.012,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,1101 to 1200m (dist12),transit_distance,D_location,dummy,m,0.279,0.018,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,1101 to 1200m (dist12),transit_distance,D_location,dummy,m,0.229,0.018,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,1201 to 1300m (dist13),transit_distance,D_location,dummy,m,0.208,0.022,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,1201 to 1300m (dist13),transit_distance,D_location,dummy,m,0.236,0.021,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,1301 to 1400m (dist14),transit_distance,D_location,dummy,m,0.15,0.018,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,1301 to 1400m (dist14),transit_distance,D_location,dummy,m,0.181,0.017,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,1401 to 1500m (dist15),transit_distance,D_location,dummy,m,0.055,0.023,,,**,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,1401 to 1500m (dist15),transit_distance,D_location,dummy,m,0.097,0.022,,,***,,,high,"Distance-band dummy to nearest existing MRT station (100-m bands); reference = sales beyond the last band up to 2,000 m. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,Floor level (floor),floor_level,A_structural,level,count,0.013,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,Floor level (floor),floor_level,A_structural,level,count,0.013,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,Floor level (floor),floor_level,A_structural,level,count,0.013,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,Floor level (floor),floor_level,A_structural,level,count,0.013,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,Unit size (area),living_area,A_structural,level,m2,0.006,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,Unit size (area),living_area,A_structural,level,m2,0.006,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,Unit size (area),living_area,A_structural,level,m2,0.006,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,Unit size (area),living_area,A_structural,level,m2,0.006,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.226,0.009,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.219,0.008,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.231,0.009,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.235,0.008,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,Freehold dummy (dumfh),other,other,binary,binary,0.251,0.011,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,Freehold dummy (dumfh),other,other,binary,binary,0.259,0.011,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,Freehold dummy (dumfh),other,other,binary,binary,0.223,0.011,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,Freehold dummy (dumfh),other,other,binary,binary,0.235,0.011,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,Age (age),age,A_structural,level,years,-0.011,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,Age (age),age,A_structural,level,years,-0.012,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,Age (age),age,A_structural,level,years,-0.01,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,Age (age),age,A_structural,level,years,-0.011,0.001,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c1,2,1,12,Resale dummy (dumresale),other,other,binary,binary,-0.069,0.011,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.674,se,"Pre-CL sales within 2,000 m of 6 existing MRT stations; distance dummies up to 1,000 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c2,2,2,12,Resale dummy (dumresale),other,other,binary,binary,-0.091,0.011,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.706,se,"Same as col 1, with additional fixed effects (text: year-of-sale FE)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c3,2,3,12,Resale dummy (dumresale),other,other,binary,binary,-0.072,0.011,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.692,se,"Pre-CL sales within 2,000 m; distance dummies up to 1,500 m"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T2-c4,2,4,12,Resale dummy (dumresale),other,other,binary,binary,-0.093,0.011,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,7679.0,0.722,se,"Same as col 3, with planning sector FE (table note) / year-of-sale FE (text)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,Floor level (floor),floor_level,A_structural,level,count,0.015,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.133,0.003,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.165,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.154,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,Freehold dummy (dumfh),other,other,binary,binary,0.149,0.003,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,Freehold dummy (dumfh),other,other,binary,binary,0.099,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,Freehold dummy (dumfh),other,other,binary,binary,0.086,0.003,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,Age (age),age,A_structural,level,years,-0.011,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,Age (age),age,A_structural,level,years,-0.008,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,Resale dummy (dumresale),other,other,binary,binary,0.017,0.003,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,Resale dummy (dumresale),other,other,binary,binary,-0.052,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,Resale dummy (dumresale),other,other,binary,binary,-0.051,0.003,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.051,0.002,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.016,0.002,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.015,0.003,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.126,0.007,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.042,0.005,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.049,0.005,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c1,3,1,17,After x Proximity to MRT (aftdumMRT),transit_distance,D_location,other,binary,-0.078,0.009,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.669,se,"Sales within 4,000 m of CL stations; no FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c2,3,2,17,After x Proximity to MRT (aftdumMRT),transit_distance,D_location,other,binary,0.132,0.006,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T3-c3,3,3,17,After x Proximity to MRT (aftdumMRT),transit_distance,D_location,other,binary,0.122,0.006,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,57417.0,0.859,se,"Sales within 2,000 m; planning sector FE + year-of-sale FE"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.163,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.163,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,Freehold dummy (dumfh),other,other,binary,binary,0.094,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,Freehold dummy (dumfh),other,other,binary,binary,0.094,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,Resale dummy (dumresale),other,other,binary,binary,-0.05,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,Resale dummy (dumresale),other,other,binary,binary,-0.05,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.026,0.002,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.026,0.002,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.129,0.003,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.13,0.003,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c1,4,1,19,After x Proximity x Existing MRT station (aftdumMRTold),transit_distance,D_location,other,binary,-0.093,0.009,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with existing-station dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T4-c2,4,2,19,After x Proximity x Interchange (aftdumMRTinterchg),transit_distance,D_location,other,binary,-0.096,0.009,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; triple interaction with interchange dummy"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.164,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.163,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,Freehold dummy (dumfh),other,other,binary,binary,0.096,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,Freehold dummy (dumfh),other,other,binary,binary,0.095,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,Resale dummy (dumresale),other,other,binary,binary,-0.048,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,Resale dummy (dumresale),other,other,binary,binary,-0.052,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.026,0.002,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.024,0.002,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.134,0.003,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.111,0.003,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c1,5,1,21,After x Proximity x Resale (aftdumMRTresale),transit_distance,D_location,other,binary,-0.064,0.006,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by resale"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T5-c2,5,2,21,After x Proximity x HDB buyer (aftdumMRThdbbuyer),transit_distance,D_location,other,binary,0.043,0.006,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.864,se,"Sales within 4,000 m; planning sector FE + year-of-sale FE; heterogeneity by HDB-upgrader buyer"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,Floor level (floor),floor_level,A_structural,level,count,0.007,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,Unit size (area),living_area,A_structural,level,m2,0.007,0.0,,,***,,,high,"Unit size in sqm (Table 1); SE printed as (0.000) i.e. <0.0005. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.168,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.165,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,Condominium dummy (dumcond),dwelling_type,A_structural,binary,binary,0.168,0.002,,,***,,,high,"Condominium vs apartment (non-landed) dummy. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,Freehold dummy (dumfh),other,other,binary,binary,0.099,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,Freehold dummy (dumfh),other,other,binary,binary,0.098,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,Freehold dummy (dumfh),other,other,binary,binary,0.098,0.002,,,***,,,high,"Freehold (vs leasehold) tenure dummy; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,Age (age),age,A_structural,level,years,-0.009,0.0,,,***,,,high,"Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,Resale dummy (dumresale),other,other,binary,binary,-0.052,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,Resale dummy (dumresale),other,other,binary,binary,-0.053,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,Resale dummy (dumresale),other,other,binary,binary,-0.053,0.002,,,***,,,high,"Resale (secondary market) vs developer/sub-sale; no taxonomy leaf. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.038,0.005,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.031,0.005,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,Proximity to MRT (<= 400m) (dumMRT),transit_distance,D_location,binary,binary,0.028,0.005,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,6 months before MRT opening (bef6mth),transaction_timing,G_market,binary,binary,-0.007,0.003,,,**,,,high,"Sold within 180 days before opening of nearest CL station (anticipation dummy). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,6 months before MRT opening (bef6mth),transaction_timing,G_market,binary,binary,-0.017,0.003,,,***,,,high,"Sold within 180 days before opening of nearest CL station (anticipation dummy). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,6 months before MRT opening x Proximity to MRT (bef6mthdumMRT),transit_distance,D_location,other,binary,-0.044,0.01,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,6 months before MRT opening x Proximity to MRT (bef6mthdumMRT),transit_distance,D_location,other,binary,-0.037,0.01,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,After the opening of MRT line (after),transaction_timing,G_market,binary,binary,0.021,0.003,,,***,,,high,"Post-Circle-Line-opening period dummy (DiD time indicator). Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c2,6,2,22,After x Proximity to MRT (aftdumMRT),transit_distance,D_location,other,binary,0.143,0.007,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.865,se,"Sales within 4,000 m; FE; 6-month anticipation window + after"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,After x Phase 1 x Proximity to MRT (aftph1dumMRT),transit_distance,D_location,other,binary,0.192,0.008,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,After x Phase 1 x Proximity to MRT (aftph1dumMRT),transit_distance,D_location,other,binary,0.202,0.008,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,After x Phase 2 x Proximity to MRT (aftph2dumMRT),transit_distance,D_location,other,binary,0.125,0.008,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,After x Phase 2 x Proximity to MRT (aftph2dumMRT),transit_distance,D_location,other,binary,0.134,0.008,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,After x Phase 3 x Proximity to MRT (aftph3dumMRT),transit_distance,D_location,other,binary,0.034,0.011,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,After x Phase 3 x Proximity to MRT (aftph3dumMRT),transit_distance,D_location,other,binary,0.044,0.011,,,***,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c1,6,1,22,After x Phase 4 x Proximity to MRT (aftph4dumMRT),transit_distance,D_location,other,binary,-0.08,0.054,,,,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; phase-specific opening dummies (aftph1-4 period dummies not extracted)"
933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68,933204aac69df35d44733b61b90a1210852e7b68:T6-c3,6,3,22,After x Phase 4 x Proximity to MRT (aftph4dumMRT),transit_distance,D_location,other,binary,-0.07,0.054,,,,,,high,"Difference-in-differences interaction term (Circle Line opening x within 400 m of CL station); x_transform other. Standard errors in parentheses; *** p<0.01, ** p<0.05, * p<0.1.",ln sale price (lnprice),log,OLS,81316.0,0.866,se,"Sales within 4,000 m; FE; anticipation window + phase-specific dummies"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Area,living_area,A_structural,level,m2,0.015,,37.546,,,,,high,"Area in m2; SE printed 0.000 (rounded); p printed '-' meaning <0.000; SE printed as 0.000 (rounded), stored as null; use z-value","ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Area^2,living_area,A_structural,squared,m2,-0.0,,-19.709,,,,,medium,"Quadratic area term printed as -0.000 (rounded); SE 0.000; SE printed as 0.000 (rounded), stored as null; use z-value","ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Number of bathrooms,bathrooms,A_structural,level,count,0.098,0.008,11.842,,,,,high,p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Air conditioner,air_conditioning,A_structural,dummy,binary,0.074,0.008,8.905,,,,,high,p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Central heating,heating,A_structural,dummy,binary,0.041,0.009,4.686,,,,,high,p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Retrofitted apartment,renovation,A_structural,dummy,binary,0.034,0.01,3.437,0.001,,,,high,,"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Swimming pool,pool,C_exterior,dummy,binary,0.186,0.015,11.976,,,,,high,p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Lift,accessibility,B_interior,dummy,binary,0.089,0.008,10.452,,,,,high,p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Inverse of building age,age,A_structural,other,years,0.238,0.045,5.34,,,,,high,Regressor is 1/(building age in years); p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class A,energy_efficiency,A_structural,dummy,binary,0.086,0.034,2.492,0.013,,,,high,EPC class A vs reference G (2014 baseline; year-2016 interactions separate),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class C,energy_efficiency,A_structural,dummy,binary,-0.011,0.029,-0.375,0.708,,,,high,EPC class C vs G (2014 baseline); class B absent in 2014,"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class D,energy_efficiency,A_structural,dummy,binary,0.0,0.019,0.02,0.984,,,,high,EPC class D vs G (2014 baseline),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class E,energy_efficiency,A_structural,dummy,binary,0.007,0.013,0.572,0.567,,,,high,EPC class E vs G (2014 baseline),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class F,energy_efficiency,A_structural,dummy,binary,0.019,0.016,1.132,0.258,,,,high,EPC class F vs G (2014 baseline),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class A * Year 2016,energy_efficiency,A_structural,other,binary,0.067,0.044,1.515,0.13,,,,high,Interaction EPC A x 2016 dummy (incremental 2016 premium),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class B * Year 2016,energy_efficiency,A_structural,other,binary,0.107,0.041,2.619,0.009,,,,high,"Interaction EPC B x 2016 dummy (B exists only in 2016, so equals the 2016 B premium)","ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class C * Year 2016,energy_efficiency,A_structural,other,binary,0.106,0.041,2.597,0.009,,,,high,Interaction EPC C x 2016 dummy (incremental),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class D * Year 2016,energy_efficiency,A_structural,other,binary,0.105,0.026,4.071,,,,,high,Interaction EPC D x 2016 dummy (incremental); p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class E * Year 2016,energy_efficiency,A_structural,other,binary,0.008,0.018,0.462,0.644,,,,high,Interaction EPC E x 2016 dummy (incremental),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Energy class F * Year 2016,energy_efficiency,A_structural,other,binary,-0.033,0.024,-1.386,0.166,,,,high,Interaction EPC F x 2016 dummy (incremental),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Commuting time,employment_access,D_location,level,minutes,0.004,0.001,2.597,0.009,,,,high,"Average commuting time of the zone (minutes), from Mobility Survey; positive sign","ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,<200m from sea shore,water_proximity,E_environment,dummy,binary,0.131,0.029,4.532,,,,,high,Within 200 m of the sea shore; p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Highway ramp,highway_distance,D_location,dummy,binary,0.081,0.022,3.712,,,,,high,Municipality with highway access dummy; p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,<800 m from railway station,transit_distance,D_location,dummy,binary,0.033,0.011,3.12,0.002,,,,high,Within 800 m of a railway station,"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Centrality index,cbd_distance,D_location,level,index,0.025,0.003,8.68,,,,,high,"Centrality index (3.5-20.5, higher = more central); p printed '-' (<0.000)","ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,Average gross area floor ratio,density,F_neighbourhood,level,index,0.048,0.005,9.029,,,,,high,"Average gross floor area ratio (m2/m2) of the zone, built density; p printed '-' (<0.000)","ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,PC1 High income,income,F_neighbourhood,level,index,0.104,0.006,17.356,,,,,high,Principal component for high-income jobs/education of neighbourhood; p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937,942f0ff361a49b68c1333c31381f78c02a3d0937:T2-SEM,2,1,7,PC2 Med income,income,F_neighbourhood,level,index,0.072,0.007,10.979,,,,,high,Principal component for medium-income jobs; p printed '-' (<0.000),"ln(asking price, EUR)",log,spatial_error,6492.0,0.764,se,"Pooled 2014 and 2016 listings, spatial error ML; z-values and p-values in separate columns"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,Terraced,dwelling_type,A_structural,binary,"binary (terraced house, reference detached)",-0.12,,-4.63,0.0,,,,high,Property type dummy; reference category detached,"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,Semi-detached,dwelling_type,A_structural,binary,"binary (semi-detached, reference detached)",-0.08,,-3.48,0.005,,,,high,Property type dummy; reference category detached,"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,Leasehold,other,other,binary,binary (leasehold tenure vs freehold),-0.19,,-2.22,0.027,,,,high,Tenure dummy; taxonomy other,"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,Flat,dwelling_type,A_structural,binary,"binary (flat, reference detached)",-0.33,,,0.002,,,,medium,"Property type dummy; t-statistic printed as '-373' (typo, presumably -3.73), not recorded","LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDCL,hazard_site,E_environment,log,m (ln distance to centre line of high-voltage overhead transmission line),0.03,,3.63,0.003,,,,high,Elasticity of price w.r.t. distance to HVOTL centre line (positive = closer to line lowers value),"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDPK,green_space,E_environment,log,m (ln distance to public park),1.08,,5.98,0.0,,,,high,Main effect of ln distance to public park; enters interactions with LnDRA and LnDPY (full elasticity = 1.08 - 0.09 LnDRA - 0.08 LnDPY),"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDRA,other,other,log,m (ln distance to railway lines),0.87,,5.53,0.0,,,,high,"Distance to railway lines (track, a disamenity), not to a station; main effect, also in interactions; taxonomy other","LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDWS,transit_distance,D_location,log,m (ln distance to Welling railway station),-0.89,,-7.77,0.0,,,,high,Main effect of ln distance to Welling station; interacts with LnDPY (full elasticity = -0.89 + 0.11 LnDPY),"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDRA*LnDPY,hazard_site,E_environment,other,ln m x ln m (distance to railway x distance to nearest pylon),-0.05,,-5.37,0.0,,,,high,Interaction term; LnDPY (distance to pylon) has no separate main effect in Table 1,"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDRA*LnDPK,green_space,E_environment,other,ln m x ln m (distance to railway x distance to park),-0.09,,-4.99,0.0,,,,high,Interaction term,"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDWS*LnDPY,transit_distance,D_location,other,ln m x ln m (distance to station x distance to pylon),0.11,,6.19,0.0,,,,high,Interaction term,"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503,96e0ec640b350c1ec477b4a65c34f99c77d53503:T1-c1,1,1,5,LnDPY*LnDPK,hazard_site,E_environment,other,ln m x ln m (distance to pylon x distance to park),-0.08,,-6.1,0.0,,,,high,Interaction term,"LnP: natural log of sold house price (Land Registry via Nethouseprices), indexed to 2009Q1 with Nationwide Greater London index",log,OLS,1251.0,0.44,t,"Single LSDV regression (eq. 1); t-statistic and p-value in separate columns; R2 is adjusted; S.E. of regression 0.17; N = 1,251 sold houses (Goldfeld-Quandt subsamples of 469 each); plot/house over-sail and plot-tower dummies in eq. 1 not reported in Table 1"
98438191d74bdd40ba8f1ee8325b8fb8b7420348,98438191d74bdd40ba8f1ee8325b8fb8b7420348,98438191d74bdd40ba8f1ee8325b8fb8b7420348:EQ1-m3,eq. (1) / Table 5 model 3,3,5,Carpet_area (X_C),living_area,A_structural,level,"not stated (carpet area, mean 1,512; likely sqft)",5764.491,,,,,,,medium,"Coefficient read from printed equation (1); no SE/t table printed, text states t-test p = 0.000 for retained variables","Price_house (house price, currency not stated; mean 6,084,695)",level,OLS,898.0,0.889,none,"Stepwise linear regression, final model with 3 retained variables (Carpet_area, Builtup_area, Hospital_dist); N from ANOVA df (total 897 => 898); adjusted R2 0.888"
98438191d74bdd40ba8f1ee8325b8fb8b7420348,98438191d74bdd40ba8f1ee8325b8fb8b7420348,98438191d74bdd40ba8f1ee8325b8fb8b7420348:EQ1-m3,eq. (1) / Table 5 model 3,3,5,Builtup_area (X_B),living_area,A_structural,level,"not stated (built-up/construction area, mean 1,795; likely sqft)",-7804.659,,,,,,,medium,"Built-up (construction) area, entered alongside carpet area; negative sign; coefficient from equation (1), no SE","Price_house (house price, currency not stated; mean 6,084,695)",level,OLS,898.0,0.889,none,"Stepwise linear regression, final model with 3 retained variables (Carpet_area, Builtup_area, Hospital_dist); N from ANOVA df (total 897 => 898); adjusted R2 0.888"
98438191d74bdd40ba8f1ee8325b8fb8b7420348,98438191d74bdd40ba8f1ee8325b8fb8b7420348,98438191d74bdd40ba8f1ee8325b8fb8b7420348:EQ1-m3,eq. (1) / Table 5 model 3,3,5,Hospital_dist (X_H),hospital_distance,D_location,level,"not stated (mean 13,072; likely metres)",87.981,,,,,,,medium,"Distance to hospital; positive sign; coefficient from equation (1), no SE","Price_house (house price, currency not stated; mean 6,084,695)",level,OLS,898.0,0.889,none,"Stepwise linear regression, final model with 3 retained variables (Carpet_area, Builtup_area, Hospital_dist); N from ANOVA df (total 897 => 898); adjusted R2 0.888"
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Finsqft,living_area,A_structural,level,1000 sqft,0.283044,0.024368,,,,,,medium,Total finished square footage in thousands (Table 1); not stated whether logged. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Finsqft,living_area,A_structural,level,1000 sqft,0.280172,0.010226,,,,,,medium,Total finished square footage in thousands (Table 1); not stated whether logged. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Finsqft,living_area,A_structural,level,1000 sqft,0.28005,0.010258,,,,,,medium,Total finished square footage in thousands (Table 1); not stated whether logged. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Bdrms,bedrooms,A_structural,level,count,-0.039027,0.016597,,,,,,high,Number of bedrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Bdrms,bedrooms,A_structural,level,count,-0.037703,0.00705,,,,,,high,Number of bedrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Bdrms,bedrooms,A_structural,level,count,-0.037248,0.007058,,,,,,high,Number of bedrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Fbath,bathrooms,A_structural,level,count,0.175602,0.026654,,,,,,high,Number of full bathrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Fbath,bathrooms,A_structural,level,count,0.14164,0.011502,,,,,,high,Number of full bathrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Fbath,bathrooms,A_structural,level,count,0.140987,0.011494,,,,,,high,Number of full bathrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Hbath,bathrooms,A_structural,level,count,0.126607,0.026258,,,,,,high,Number of half bathrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Hbath,bathrooms,A_structural,level,count,0.124649,0.011963,,,,,,high,Number of half bathrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Hbath,bathrooms,A_structural,level,count,0.125128,0.011927,,,,,,high,Number of half bathrooms. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Age,age,A_structural,level,years,-0.012805,0.002421,,,,,,high,"Age of property (2018 - year built), quadratic. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.",ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Age,age,A_structural,level,years,-0.011156,0.001245,,,,,,high,"Age of property (2018 - year built), quadratic. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.",ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Age,age,A_structural,level,years,-0.011028,0.001255,,,,,,high,"Age of property (2018 - year built), quadratic. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.",ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Age2,age,A_structural,squared,years,7.6e-05,1.6e-05,,,,,,high,Age squared. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Age2,age,A_structural,squared,years,6.7e-05,8e-06,,,,,,high,Age squared. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Age2,age,A_structural,squared,years,6.6e-05,8e-06,,,,,,high,Age squared. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Waterfront,waterfront,C_exterior,binary,binary,4.498826,1.325469,,,,,,medium,Indicator for homes within 150 m of the water; magnitude in column 1 (4.50) is as printed and implausibly large. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Waterfront,waterfront,C_exterior,binary,binary,0.987184,0.383445,,,,,,medium,Indicator for homes within 150 m of the water; magnitude in column 1 (4.50) is as printed and implausibly large. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Waterfront,waterfront,C_exterior,binary,binary,0.98032,0.38374,,,,,,medium,Indicator for homes within 150 m of the water; magnitude in column 1 (4.50) is as printed and implausibly large. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Acres,lot_size,A_structural,level,acres,-11.70237,3.848793,,,,,,high,Acreage of lot (quadratic). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Acres,lot_size,A_structural,level,acres,-1.001644,0.705101,,,,,,high,Acreage of lot (quadratic). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Acres,lot_size,A_structural,level,acres,-1.014829,0.698689,,,,,,high,Acreage of lot (quadratic). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Acres2,lot_size,A_structural,squared,acres,0.159765,0.038555,,,,,,high,Acreage squared. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Acres2,lot_size,A_structural,squared,acres,0.142691,0.024794,,,,,,high,Acreage squared. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Acres2,lot_size,A_structural,squared,acres,0.142736,0.017641,,,,,,high,Acreage squared. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Cape Cod,architectural_style,H_ai_derived,binary,binary,0.153071,0.05142,,,,,,high,Assessor-classified Cape Cod style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Cape Cod,architectural_style,H_ai_derived,binary,binary,0.186078,0.017676,,,,,,high,Assessor-classified Cape Cod style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Cape Cod,architectural_style,H_ai_derived,binary,binary,0.188487,0.024864,,,,,,high,Assessor-classified Cape Cod style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Colonial,architectural_style,H_ai_derived,binary,binary,0.145395,0.127,,,,,,high,Assessor-classified colonial style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Colonial,architectural_style,H_ai_derived,binary,binary,-0.003397,0.052669,,,,,,high,Assessor-classified colonial style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Colonial,architectural_style,H_ai_derived,binary,binary,-0.007865,0.052892,,,,,,high,Assessor-classified colonial style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Condo,dwelling_type,A_structural,binary,binary,0.120879,0.048037,,,,,,high,Condominium indicator. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Condo,dwelling_type,A_structural,binary,binary,0.081467,0.021277,,,,,,high,Condominium indicator. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Condo,dwelling_type,A_structural,binary,binary,0.08111,0.021237,,,,,,high,Condominium indicator. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,Ranch,architectural_style,H_ai_derived,binary,binary,-0.070964,0.084647,,,,,,high,Assessor-classified ranch style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,Ranch,architectural_style,H_ai_derived,binary,binary,0.142348,0.049215,,,,,,high,Assessor-classified ranch style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,Ranch,architectural_style,H_ai_derived,binary,binary,0.162981,0.049872,,,,,,high,Assessor-classified ranch style house (not AI-derived). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,DistancetoDowntown,cbd_distance,D_location,log,100 m,-0.256703,0.070046,,,,,,high,ln straight-line distance to downtown (hundreds of metres). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,DistancetoDowntown,cbd_distance,D_location,log,100 m,-0.322434,0.038786,,,,,,high,ln straight-line distance to downtown (hundreds of metres). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,DistancetoDowntown,cbd_distance,D_location,log,100 m,0.241554,0.092125,,,,,,low,ln straight-line distance to downtown (hundreds of metres). Column 3 value is identical to the DistancetoLake row (0.241554 (0.092125)): probable typesetting error. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,DistancetoLake,water_proximity,E_environment,log,100 m,0.260477,0.130816,,,,,,high,ln straight-line distance to Lake Michigan (hundreds of metres). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,DistancetoLake,water_proximity,E_environment,log,100 m,0.211159,0.088278,,,,,,high,ln straight-line distance to Lake Michigan (hundreds of metres). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,DistancetoLake,water_proximity,E_environment,log,100 m,0.241554,0.092125,,,,,,high,ln straight-line distance to Lake Michigan (hundreds of metres). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,17,ln distance x Menominee,water_quality,E_environment,other,100 m,-0.027456,0.070704,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,17,ln distance x Menominee,water_quality,E_environment,other,100 m,-0.070494,0.036149,,,*,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,17,ln distance x Menominee,water_quality,E_environment,other,100 m,-0.078889,0.03662,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,18,ln distance x Kinnickinnic,water_quality,E_environment,other,100 m,-0.055137,0.070136,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,18,ln distance x Kinnickinnic,water_quality,E_environment,other,100 m,-0.092289,0.036414,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,18,ln distance x Kinnickinnic,water_quality,E_environment,other,100 m,-0.100555,0.036838,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c1,A1,1,18,ln distance x Milwaukee,water_quality,E_environment,other,100 m,0.002291,0.065402,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,1033.0,0.8296,se,Pre-project cross-section (Aug 2010-Jul 2011); month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,18,ln distance x Milwaukee,water_quality,E_environment,other,100 m,0.006906,0.035543,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,18,ln distance x Milwaukee,water_quality,E_environment,other,100 m,0.044785,0.037371,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Stars from Table 2 (p.10). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,18,Post,transaction_timing,G_market,binary,binary,-0.014117,0.01218,,,,,,high,Post-remediation period indicator (Dec 2015-Nov 2016 sales). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,18,Post,transaction_timing,G_market,binary,binary,-0.014066,0.013048,,,,,,high,Post-remediation period indicator. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,18,ln distance to LP,water_quality,E_environment,log,100 m,0.014304,0.017707,,,,,,high,"ln distance to Lincoln Park remediation site (hundreds of metres), truncated to homes within 5 km. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.",ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c2,A1,2,18,ln distance to LP x Post,water_quality,E_environment,other,100 m,-0.023126,0.012902,,,*,,,high,DiD interaction: change in Lincoln Park proximity gradient after remediation. Stars from Table 2. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7966,se,Pre + post-project sales; Lincoln Park proximity x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,18,ln distance x Treated,water_quality,E_environment,other,100 m,-0.053156,0.029504,,,*,,,high,ln distance to AOC interacted with treated-segment indicator (Lincoln Park to Humboldt Ave bridge). Stars from Table 2. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:TA1-c3,A1,3,18,ln distance x Treated x Post,water_quality,E_environment,other,100 m,-0.023111,0.013905,,,*,,,high,Triple DiD interaction: change in proximity gradient in treated segment after remediation. Stars from Table 2. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7971,se,Pre + post-project sales; Treated-segment x Post design; month + tract FE; same models as Table 2 (p.10) which reports only coefficients of interest with stars
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c1,3,1,11,ln distance x Menominee,water_quality,E_environment,other,100 m,-0.0797,0.0393,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7968,se,Robustness: treated area 5 km downstream; month + tract FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c2,3,2,11,ln distance x Menominee,water_quality,E_environment,other,100 m,-0.0795,0.0379,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.8079,se,Robustness: tract-by-post fixed effects added; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c3,3,3,11,ln distance x Menominee,water_quality,E_environment,other,100 m,-0.0257,0.0311,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,4437.0,0.8124,se,Robustness: mature-project post period (Aug 2017-Jul 2018); tract-by-post FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c1,3,1,11,ln distance x Kinnickinnic,water_quality,E_environment,other,100 m,-0.1008,0.0391,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7968,se,Robustness: treated area 5 km downstream; month + tract FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c2,3,2,11,ln distance x Kinnickinnic,water_quality,E_environment,other,100 m,-0.0966,0.038,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.8079,se,Robustness: tract-by-post fixed effects added; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c3,3,3,11,ln distance x Kinnickinnic,water_quality,E_environment,other,100 m,-0.0573,0.0318,,,*,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,4437.0,0.8124,se,Robustness: mature-project post period (Aug 2017-Jul 2018); tract-by-post FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c1,3,1,11,ln distance x Milwaukee,water_quality,E_environment,other,100 m,0.0282,0.0367,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7968,se,Robustness: treated area 5 km downstream; month + tract FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c2,3,2,11,ln distance x Milwaukee,water_quality,E_environment,other,100 m,0.073,0.0382,,,*,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.8079,se,Robustness: tract-by-post fixed effects added; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c3,3,3,11,ln distance x Milwaukee,water_quality,E_environment,other,100 m,0.0771,0.0318,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,4437.0,0.8124,se,Robustness: mature-project post period (Aug 2017-Jul 2018); tract-by-post FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c1,3,1,11,Post,transaction_timing,G_market,binary,binary,0.0282,0.0367,,,,,,low,Post-period indicator; printed value identical to the Milwaukee row in the same column (0.0282 (0.0367)) - probable typesetting error. Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7968,se,Robustness: treated area 5 km downstream; month + tract FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c1,3,1,11,ln distance x Treated,water_quality,E_environment,other,100 m,-0.03,0.0529,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7968,se,Robustness: treated area 5 km downstream; month + tract FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c2,3,2,11,ln distance x Treated,water_quality,E_environment,other,100 m,-0.0239,0.0432,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.8079,se,Robustness: tract-by-post fixed effects added; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c3,3,3,11,ln distance x Treated,water_quality,E_environment,other,100 m,-0.0048,0.0407,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,4437.0,0.8124,se,Robustness: mature-project post period (Aug 2017-Jul 2018); tract-by-post FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c1,3,1,11,ln distance x Treated x Post,water_quality,E_environment,other,100 m,-0.0303,0.0133,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.7968,se,Robustness: treated area 5 km downstream; month + tract FE; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c2,3,2,11,ln distance x Treated x Post,water_quality,E_environment,other,100 m,-0.0718,0.0471,,,,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,3925.0,0.8079,se,Robustness: tract-by-post fixed effects added; only coefficients of interest reported
9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b,9848e68efcee710bc05a55f8576e298c00f7e04b:T3-c3,3,3,11,ln distance x Treated x Post,water_quality,E_environment,other,100 m,-0.1078,0.0414,,,**,,,high,ln straight-line distance to nearest point of the Milwaukee Estuary Area of Concern (hundreds of metres) interacted with river-segment indicator; AOC = PCB-contaminated waterway (remediation 2011-2015). Standard errors in parentheses; * and ** indicate significance at 10% and 5% (Table 2/3 legend); Table A1 prints full coefficients without stars.,ln sale price (USD),log,OLS,4437.0,0.8124,se,Robustness: mature-project post period (Aug 2017-Jul 2018); tract-by-post FE; only coefficients of interest reported
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,"Cases per 100,000 ('000) [cumulative cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.382,0.172,,,**,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,"Cases per 100,000 ('000) [cumulative cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.398,0.174,,,**,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c3,3,3,25,"Cases per 100,000 ('000) [cumulative cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.706,0.358,,,*,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c4,3,4,25,"Cases per 100,000 ('000) [new cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",10.162,12.208,,,,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,"Cases per 100,000 ('000) [cumulative cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.611,0.236,,,**,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,"Cases per 100,000 ('000) [cumulative cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.618,0.235,,,***,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c7,3,7,25,"Cases per 100,000 ('000) [cumulative cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.633,0.241,,,***,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c8,3,8,25,"Cases per 100,000 ('000) [new cases]",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-30.759,7.905,,,***,,,high,COVID-19 infection rate of the MODZCTA; no taxonomy leaf,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.064,0.012,,,***,,,medium,"Row has 6 entries for 8 columns; assigned to cols 2,3,4,6,7,8 (cols 1 and 5 omit unemployment, consistent with N and Table 4 baseline)","Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c3,3,3,25,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.039,0.024,,,,,,high,Cross-checked with Table 4 column (1),"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c4,3,4,25,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.039,0.024,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.072,0.013,,,***,,,medium,"Row has 6 entries for 8 columns; assigned to cols 2,3,4,6,7,8 (cols 1 and 5 omit unemployment, consistent with N and Table 4 baseline)","Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c7,3,7,25,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.06,0.024,,,**,,,high,Cross-checked with Table 4 column (1),"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c8,3,8,25,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.063,0.024,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,Investor Owned (%),other,other,level,share,0.004,0.009,,,,,,high,Share of investor-owned properties in the MODZCTA,"Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,Investor Owned (%),other,other,level,share,0.004,0.009,,,,,,high,Share of investor-owned properties in the MODZCTA,"Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c3,3,3,25,Investor Owned (%),other,other,level,share,-0.009,0.013,,,,,,high,Share of investor-owned properties in the MODZCTA,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c4,3,4,25,Investor Owned (%),other,other,level,share,-0.009,0.013,,,,,,high,Share of investor-owned properties in the MODZCTA,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,Investor Owned (%),other,other,level,share,0.002,0.01,,,,,,high,Share of investor-owned properties in the MODZCTA,"Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,Investor Owned (%),other,other,level,share,0.002,0.01,,,,,,high,Share of investor-owned properties in the MODZCTA,"Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c7,3,7,25,Investor Owned (%),other,other,level,share,-0.011,0.014,,,,,,high,Share of investor-owned properties in the MODZCTA,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c8,3,8,25,Investor Owned (%),other,other,level,share,-0.01,0.014,,,,,,high,Share of investor-owned properties in the MODZCTA,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,Altered (yes==1),renovation,A_structural,binary,binary,1.356,0.228,,,***,,,high,Home altered per PLUTO assessment records,"Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,Altered (yes==1),renovation,A_structural,binary,binary,1.351,0.228,,,***,,,high,Home altered per PLUTO assessment records,"Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c3,3,3,25,Altered (yes==1),renovation,A_structural,binary,binary,2.432,0.339,,,***,,,high,Home altered per PLUTO assessment records,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c4,3,4,25,Altered (yes==1),renovation,A_structural,binary,binary,2.432,0.34,,,***,,,high,Home altered per PLUTO assessment records,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"Repeat sales, first wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,Altered (yes==1),renovation,A_structural,binary,binary,1.997,0.315,,,***,,,high,Home altered per PLUTO assessment records,"Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,Altered (yes==1),renovation,A_structural,binary,binary,1.989,0.315,,,***,,,high,Home altered per PLUTO assessment records,"Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c7,3,7,25,Altered (yes==1),renovation,A_structural,binary,binary,3.056,0.591,,,***,,,high,Home altered per PLUTO assessment records,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; cumulative cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c8,3,8,25,Altered (yes==1),renovation,A_structural,binary,binary,3.058,0.591,,,***,,,high,Home altered per PLUTO assessment records,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Repeat sales, second wave; new cases"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,Year Built,age,A_structural,level,years,0.002,0.002,,,,,,high,"Year built (calendar year), not age","Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,Year Built,age,A_structural,level,years,0.002,0.002,,,,,,high,"Year built (calendar year), not age","Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,Year Built,age,A_structural,level,years,0.003,0.002,,,,,,high,"Year built (calendar year), not age","Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,Year Built,age,A_structural,level,years,0.003,0.002,,,,,,high,"Year built (calendar year), not age","Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,Home Sqft ('000),living_area,A_structural,level,sqft,2.174,0.28,,,***,,,high,Thousands of square feet,"Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,Home Sqft ('000),living_area,A_structural,level,sqft,2.163,0.281,,,***,,,high,Thousands of square feet,"Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,Home Sqft ('000),living_area,A_structural,level,sqft,2.174,0.341,,,***,,,high,Thousands of square feet,"Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,Home Sqft ('000),living_area,A_structural,level,sqft,2.159,0.341,,,***,,,high,Thousands of square feet,"Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,"Lot Sqft ('00,000)",lot_size,A_structural,level,sqft,0.032,0.014,,,**,,,high,Hundred-thousands of square feet,"Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,"Lot Sqft ('00,000)",lot_size,A_structural,level,sqft,0.032,0.013,,,**,,,high,Hundred-thousands of square feet,"Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,"Lot Sqft ('00,000)",lot_size,A_structural,level,sqft,0.027,0.015,,,*,,,high,Hundred-thousands of square feet,"Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,"Lot Sqft ('00,000)",lot_size,A_structural,level,sqft,0.026,0.015,,,*,,,high,Hundred-thousands of square feet,"Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,# of Floors,storeys,A_structural,level,count,0.051,0.069,,,,,,high,,"Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,# of Floors,storeys,A_structural,level,count,0.06,0.071,,,,,,high,,"Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,# of Floors,storeys,A_structural,level,count,0.045,0.159,,,,,,high,,"Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,# of Floors,storeys,A_structural,level,count,0.067,0.158,,,,,,high,,"Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c1,3,1,25,Basement (yes==1),basement,A_structural,binary,binary,0.519,0.109,,,***,,,high,,"Sale price ($100,000)",level,OLS,122630.0,0.606,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c2,3,2,25,Basement (yes==1),basement,A_structural,binary,binary,0.502,0.112,,,***,,,high,,"Sale price ($100,000)",level,OLS,121980.0,0.608,se,"All sales, first-wave months (Mar-Jul) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c5,3,5,25,Basement (yes==1),basement,A_structural,binary,binary,0.53,0.133,,,***,,,high,,"Sale price ($100,000)",level,OLS,133072.0,0.551,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T3-c6,3,6,25,Basement (yes==1),basement,A_structural,binary,binary,0.506,0.132,,,***,,,high,,"Sale price ($100,000)",level,OLS,132393.0,0.552,se,"All sales, second-wave months (Aug-Dec) 2003-2020; MODZCTA FE; adds unemployment"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4A-c2,4,2 (Panel A),28,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-6.459,1.364,,,***,,,high,Cumulative COVID-19 case rate,"Change in sale price between repeat sales ($100,000)",other,other,2915.0,0.168,se,"Repeat sales, first wave, homes priced < 25th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4A-c2,4,2 (Panel A),28,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.032,0.027,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,2915.0,0.168,se,"Repeat sales, first wave, homes priced < 25th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4A-c3,4,3 (Panel A),28,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.854,0.469,,,*,,,high,Cumulative COVID-19 case rate,"Change in sale price between repeat sales ($100,000)",other,other,4360.0,0.093,se,"Repeat sales, first wave, homes priced > 75th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4A-c3,4,3 (Panel A),28,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,0.019,0.064,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,4360.0,0.093,se,"Repeat sales, first wave, homes priced > 75th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4B-c2,4,2 (Panel B),28,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",0.2,0.724,,,,,,high,Cumulative COVID-19 case rate,"Change in sale price between repeat sales ($100,000)",other,other,3208.0,0.182,se,"Repeat sales, second wave, homes priced < 25th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4B-c2,4,2 (Panel B),28,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.005,0.027,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,3208.0,0.182,se,"Repeat sales, second wave, homes priced < 25th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4B-c3,4,3 (Panel B),28,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-1.242,0.353,,,***,,,high,Cumulative COVID-19 case rate,"Change in sale price between repeat sales ($100,000)",other,other,4856.0,0.07,se,"Repeat sales, second wave, homes priced > 75th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T4B-c3,4,3 (Panel B),28,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.07,0.053,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,4856.0,0.07,se,"Repeat sales, second wave, homes priced > 75th percentile"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c1,5,1 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.594,0.211,,,***,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,36051.0,0.145,se,"All repeat sales, all months 2003-2020 (Panel B col 1 is identical)"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c1,5,1 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.053,0.018,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,36051.0,0.145,se,"All repeat sales, all months 2003-2020 (Panel B col 1 is identical)"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c2,5,2 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.669,0.351,,,*,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15353.0,0.228,se,"First wave, outliers (>3 SD) excluded"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c2,5,2 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.068,0.018,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15353.0,0.228,se,"First wave, outliers (>3 SD) excluded"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c3,5,3 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.893,1.856,,,,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,6174.0,0.101,se,"First wave, repeat sales > 3 years apart"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c3,5,3 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.074,0.026,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,6174.0,0.101,se,"First wave, repeat sales > 3 years apart"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c4,5,4 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.703,0.359,,,*,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,13757.0,0.136,se,"First wave, properties sold < 4 times"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c4,5,4 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.041,0.026,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,13757.0,0.136,se,"First wave, properties sold < 4 times"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c5,5,5 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.719,0.358,,,**,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"First wave, controlling for NYC shutdown (shutdown dummy not extracted)"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c5,5,5 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.039,0.024,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"First wave, controlling for NYC shutdown (shutdown dummy not extracted)"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c6,5,6 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.631,0.344,,,*,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15323.0,0.146,se,"First wave, 30-day lagged case and unemployment rates"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c6,5,6 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.037,0.024,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15323.0,0.146,se,"First wave, 30-day lagged case and unemployment rates"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c7,5,7 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.422,0.394,,,,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15094.0,0.146,se,"First wave, 60-day lagged rates"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c7,5,7 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.043,0.023,,,*,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15094.0,0.146,se,"First wave, 60-day lagged rates"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c8,5,8 (Panel A),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-1.005,0.58,,,*,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"First wave, borough-level case and unemployment rates"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5A-c8,5,8 (Panel A),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.232,0.118,,,*,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15540.0,0.146,se,"First wave, borough-level case and unemployment rates"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c2,5,2 (Panel B),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.481,0.198,,,**,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15575.0,0.229,se,"Second wave, outliers excluded"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c2,5,2 (Panel B),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.07,0.019,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15575.0,0.229,se,"Second wave, outliers excluded"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c3,5,3 (Panel B),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-1.06,0.441,,,**,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,7037.0,0.107,se,"Second wave, repeat sales > 3 years apart"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c3,5,3 (Panel B),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.064,0.024,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,7037.0,0.107,se,"Second wave, repeat sales > 3 years apart"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c4,5,4 (Panel B),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.633,0.242,,,***,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,14014.0,0.12,se,"Second wave, properties sold < 4 times"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c4,5,4 (Panel B),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.064,0.024,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,14014.0,0.12,se,"Second wave, properties sold < 4 times"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c6,5,6 (Panel B),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.622,0.297,,,**,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15570.0,0.134,se,"Second wave, 30-day lag"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c6,5,6 (Panel B),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.067,0.022,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15570.0,0.134,se,"Second wave, 30-day lag"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c7,5,7 (Panel B),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-0.5,0.318,,,,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15410.0,0.134,se,"Second wave, 60-day lag"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c7,5,7 (Panel B),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.061,0.021,,,***,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15410.0,0.134,se,"Second wave, 60-day lag"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c8,5,8 (Panel B),31,"Cases per 100,000 ('000)",other,other,level,"COVID-19 cases per 100,000 residents (thousands)",-1.119,0.344,,,***,,,high,Cumulative COVID-19 case rate (lagged / borough-level per column),"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Second wave, borough-level rates"
98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f,98c105ab42ddbb39da40f571a9e40579ebb0b16f:T5B-c8,5,8 (Panel B),31,Unemployment Rate (%),unemployment,F_neighbourhood,level,share,-0.166,0.105,,,,,,high,,"Change in sale price between repeat sales ($100,000)",other,other,15733.0,0.131,se,"Second wave, borough-level rates"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c1,2,1,10,Ln Rooms,bedrooms,A_structural,log,count (rooms excluding kitchen and bathrooms),0.5748,,21.73,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.7472,t,"Model 1: tourists, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c3,2,3,10,Ln Rooms,bedrooms,A_structural,log,count (rooms excluding kitchen and bathrooms),0.519,,14.56,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8517,t,"Model 3: residents, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,10,Ln Rooms × Verbier,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.9036,,15.17,,**,,,high,Interaction: log rooms x Verbier resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,10,Ln Rooms × Verbier,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.61,,7.87,,**,,,high,Interaction: log rooms x Verbier resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,10,Ln Rooms × Anzere,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.6507,,15.17,,**,,,high,Interaction: log rooms x Anzere resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,10,Ln Rooms × Anzere,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.4445,,12.62,,**,,,high,Interaction: log rooms x Anzere resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,10,Ln Rooms × Ovronnaz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.5234,,9.5,,**,,,high,Interaction: log rooms x Ovronnaz resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,10,Ln Rooms × Ovronnaz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.5264,,9.83,,**,,,high,Interaction: log rooms x Ovronnaz resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,10,Ln Rooms × Champery,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.5178,,12.88,,**,,,high,Interaction: log rooms x Champery resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,10,Ln Rooms × Champery,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.4082,,8.22,,**,,,high,Interaction: log rooms x Champery resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,10,Ln Rooms × Grimentz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.4813,,12.54,,**,,,high,Interaction: log rooms x Grimentz resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,10,Ln Rooms × Grimentz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.5168,,14.46,,**,,,high,Interaction: log rooms x Grimentz resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,11,Ln Rooms × Haute-Nendaz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.4209,,9.91,,**,,,high,Interaction: log rooms x Haute-Nendaz resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,11,Ln Rooms × Haute-Nendaz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy)",0.4182,,4.8,,**,,,high,Interaction: log rooms x Haute-Nendaz resort dummy (resort-specific elasticity); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c1,2,1,11,Ln Landscape-Quality (visibility-adjusted MACBETH score),view,E_environment,log,"index (visibility-adjusted MACBETH landscape-quality score, 10-110)",0.0449,,6.57,,**,,,high,Natural landscape quality score; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.7472,t,"Model 1: tourists, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,11,Ln Landscape-Quality (visibility-adjusted MACBETH score),view,E_environment,log,"index (visibility-adjusted MACBETH landscape-quality score, 10-110)",0.0225,,3.84,,**,,,high,Natural landscape quality score; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c3,2,3,11,Ln Landscape-Quality (visibility-adjusted MACBETH score),view,E_environment,log,"index (visibility-adjusted MACBETH landscape-quality score, 10-110)",0.0351,,4.28,,**,,,high,Natural landscape quality score; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8517,t,"Model 3: residents, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,11,Ln Landscape-Quality (visibility-adjusted MACBETH score),view,E_environment,log,"index (visibility-adjusted MACBETH landscape-quality score, 10-110)",0.0287,,2.67,,**,,,high,Natural landscape quality score; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c1,2,1,11,Ln Resort-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"index (share of the six resorts' total infrastructure, averaged over 7 types)",0.1297,,6.19,,**,,,high,"Resort-level infrastructure index (bars, sports stores, etc.); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.7472,t,"Model 1: tourists, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,11,Ln Resort-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"index (share of the six resorts' total infrastructure, averaged over 7 types)",-0.026,,-0.54,,,,,high,"Resort-level infrastructure index (bars, sports stores, etc.); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c3,2,3,11,Ln Resort-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"index (share of the six resorts' total infrastructure, averaged over 7 types)",0.1962,,0.82,,,,,high,"Resort-level infrastructure index (bars, sports stores, etc.); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8517,t,"Model 3: residents, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,11,Ln Resort-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"index (share of the six resorts' total infrastructure, averaged over 7 types)",0.0156,,0.58,,,,,high,"Resort-level infrastructure index (bars, sports stores, etc.); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c1,2,1,11,Ln Distances-to-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"distance (sum of distances to ropeways, grocery stores and resort centre; unit not printed)",0.0428,,2.68,,**,,,high,Sum of distances to the resort's main infrastructures; positive sign = rents higher away from centre; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.7472,t,"Model 1: tourists, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,11,Ln Distances-to-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"distance (sum of distances to ropeways, grocery stores and resort centre; unit not printed)",0.0001,,0.01,,,,,high,Sum of distances to the resort's main infrastructures; positive sign = rents higher away from centre; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c3,2,3,11,Ln Distances-to-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"distance (sum of distances to ropeways, grocery stores and resort centre; unit not printed)",0.1393,,2.63,,**,,,high,Sum of distances to the resort's main infrastructures; positive sign = rents higher away from centre; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8517,t,"Model 3: residents, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,11,Ln Distances-to-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"distance (sum of distances to ropeways, grocery stores and resort centre; unit not printed)",0.1509,,2.91,,**,,,high,Sum of distances to the resort's main infrastructures; positive sign = rents higher away from centre; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c1,2,1,11,Ln Average-Ski-Runs,other,other,log,km per lift (ratio of run length in km to number of ski lifts),0.3234,,10.45,,**,,,high,Resort ski-run quality (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.7472,t,"Model 1: tourists, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,11,Ln Average-Ski-Runs,other,other,log,km per lift (ratio of run length in km to number of ski lifts),0.1678,,2.4,,*,,,high,Resort ski-run quality (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c3,2,3,11,Ln Average-Ski-Runs,other,other,log,km per lift (ratio of run length in km to number of ski lifts),-0.038,,-0.53,,,,,high,Resort ski-run quality (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8517,t,"Model 3: residents, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,11,Ln Average-Ski-Runs,other,other,log,km per lift (ratio of run length in km to number of ski lifts),-0.1663,,-2.22,,*,,,high,Resort ski-run quality (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c1,2,1,11,Ln Flat-Equipment,other,other,log,"count (1 + number of amenities: TV-cable, fireplace, balcony, dishwasher, security system)",0.1545,,3.32,,**,,,high,Composite equipment count (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.7472,t,"Model 1: tourists, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c2,2,2,11,Ln Flat-Equipment,other,other,log,"count (1 + number of amenities: TV-cable, fireplace, balcony, dishwasher, security system)",0.1914,,4.44,,**,,,high,Composite equipment count (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,401.0,0.8151,t,"Model 2: tourists, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c3,2,3,11,Ln Flat-Equipment,other,other,log,"count (1 + number of amenities: TV-cable, fireplace, balcony, dishwasher, security system)",0.1027,,2.75,,**,,,high,Composite equipment count (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8517,t,"Model 3: residents, no geographical interaction terms (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T2-c4,2,4,11,Ln Flat-Equipment,other,other,log,"count (1 + number of amenities: TV-cable, fireplace, balcony, dishwasher, security system)",0.1091,,2.15,,*,,,high,Composite equipment count (other); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,105.0,0.8677,t,"Model 4: residents, Ln Rooms interacted with resort dummies (adj. R2)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c1,4,1,17,Ln Rooms,bedrooms,A_structural,log,count (rooms excluding kitchen and bathrooms),0.577,,25.76,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.827,t,"Model 5: joint tourists+residents, no geographical interaction terms; t-values in separate column; adj. pseudo-R2 0.8270 (R=1) / 0.7422 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Verbier × R,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.5995,,10.66,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Verbier × T,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.8857,,20.46,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Anzere × R,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.4432,,16.66,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Anzere × T,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.6499,,16.03,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Ovronnaz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.5267,,12.55,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Champery,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.5102,,14.11,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Grimentz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.4905,,15.77,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Rooms × Haute-Nendaz,bedrooms,A_structural,other,"count (log rooms, interacted with resort dummy and/or R=resident, T=tourist)",0.4122,,11.5,,**,,,high,"Interaction term (resort-specific, and tenant-type-specific where R/T); robust (Huber-White) t-value","ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c1,4,1,17,Ln Landscape-Quality,view,E_environment,log,"index (visibility-adjusted MACBETH score, 10-110)",0.0417,,7.58,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.827,t,"Model 5: joint tourists+residents, no geographical interaction terms; t-values in separate column; adj. pseudo-R2 0.8270 (R=1) / 0.7422 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Landscape-Quality,view,E_environment,log,"index (visibility-adjusted MACBETH score, 10-110)",0.0249,,5.31,,**,,,high,95% CI 0.0157 to 0.0341 reported in text (p. 670); robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c1,4,1,17,Ln Resort-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,index (resort infrastructure share),0.1138,,6.39,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.827,t,"Model 5: joint tourists+residents, no geographical interaction terms; t-values in separate column; adj. pseudo-R2 0.8270 (R=1) / 0.7422 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Resort-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,index (resort infrastructure share),-0.006,,-0.19,,,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c1,4,1,17,Ln Distances-to-Infrastructure,neighbourhood_amenities,F_neighbourhood,log,"distance (sum of distances to ropeways, grocery, centre; unit not printed)",0.047,,3.11,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.827,t,"Model 5: joint tourists+residents, no geographical interaction terms; t-values in separate column; adj. pseudo-R2 0.8270 (R=1) / 0.7422 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Distances × R,neighbourhood_amenities,F_neighbourhood,other,distance (log sum of distances x resident dummy),0.132,,2.69,,**,,,high,Interaction with resident dummy; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Distances × T,neighbourhood_amenities,F_neighbourhood,other,distance (log sum of distances x tourist dummy),0.002,,0.13,,,,,high,Interaction with tourist dummy; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c1,4,1,17,Ln Average-Ski-Runs × R,other,other,other,km per lift x resident dummy,-0.0592,,-1.01,,,,,high,Interaction with resident dummy; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.827,t,"Model 5: joint tourists+residents, no geographical interaction terms; t-values in separate column; adj. pseudo-R2 0.8270 (R=1) / 0.7422 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c1,4,1,17,Ln Average-Ski-Runs × T,other,other,other,km per lift x tourist dummy,0.3251,,10.89,,**,,,high,Interaction with tourist dummy; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.827,t,"Model 5: joint tourists+residents, no geographical interaction terms; t-values in separate column; adj. pseudo-R2 0.8270 (R=1) / 0.7422 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Average-Ski-Runs × R,other,other,other,km per lift x resident dummy,-0.0777,,-1.19,,,,,high,Interaction with resident dummy; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Average-Ski-Runs × T,other,other,other,km per lift x tourist dummy,0.1695,,2.72,,**,,,high,Interaction with tourist dummy; robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c1,4,1,17,Ln Flat-Equipment,other,other,log,count (1 + number of amenities),0.1324,,3.93,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.827,t,"Model 5: joint tourists+residents, no geographical interaction terms; t-values in separate column; adj. pseudo-R2 0.8270 (R=1) / 0.7422 (T=1)"
9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df,9ba5bc20c4b8dd4891df1e9ed1d47b53aa5ee9df:T4-c2,4,2,17,Ln Flat-Equipment,other,other,log,count (1 + number of amenities),0.1672,,5.26,,**,,,high,robust (Huber-White) t-value,"ln monthly rent (CHF, incl. bills)",log,OLS,506.0,0.8587,t,"Model 6: joint, with resort interactions for Ln Rooms; adj. pseudo-R2 0.8587 (R=1) / 0.8087 (T=1)"
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Bedrooms,bedrooms,A_structural,level,count,8664822.596,,0.738,0.461,,,,high,,Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Bathrooms,bathrooms,A_structural,level,count,-20051336.87,,-1.448,0.149,,,,high,,Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Property type,dwelling_type,A_structural,other,index,8076944.769,,1.144,0.254,,,,high,"Ordinal construction-style code 1-6 (duplex=1, detached=2, semi-detached=3, terrace=4, flat=5, others=6) entered as a single numeric regressor",Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Boys' quarters,other,other,level,count,102816020.589,,15.151,0.0,,,,high,Printed name: Boys' quarters = number of servants' (BQ) rooms,Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Parking,parking,A_structural,level,count,9526774.351,,2.615,0.009,,,,high,Number of parking lots,Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Age,age,A_structural,level,years,-1635743.326,,-1.068,0.286,,,,high,Property age in years,Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Floors,storeys,A_structural,level,count,4539570.089,,1.455,0.147,,,,high,Number of floors,Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Security fence,other,other,binary,binary,-10789691.84,,-0.229,0.819,,,,high,Printed name: Security fence (1 if available),Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Sea view,view,E_environment,binary,binary,154767562.522,,4.832,0.0,,,,high,1 if sea view present,Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88,9dd3ef8baea1541e7438928532ebd498c89ffa88:T4-c1,4,1,10,Location,other,other,other,index,-26885403.503,,-6.176,0.0,,,,high,"Printed name: Location = neighbourhood code 1-5 (Ikoyi, Victoria Island, Lekki Phase 1, Lekki-Epe corridor...) entered as a single numeric regressor",Sale price in Naira (CPI-deflated),level,OLS,256.0,0.766,t,Training set (80% of 321 transactions)
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Area,living_area,A_structural,level,sqft,5e-05,,10.579,,,,,medium,"p printed as '< 0.0001'; Area of house in square feet; SE printed as '< 0.0001' (not recorded); Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Bedrooms,bedrooms,A_structural,level,count,0.029,0.014,2.046,0.041,,,,medium,"Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Bathrooms,bathrooms,A_structural,level,count,0.262,0.02,8.121,,,,,medium,"p printed as '< 0.0001'; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Stories,storeys,A_structural,level,count,0.09,0.012,7.264,,,,,medium,"p printed as '< 0.0001'; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Main Road,other,other,binary,binary,0.118,0.027,4.312,,,,,medium,"p printed as '< 0.0001'; House accessible from the main road (yes/no); Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Guestroom,other,other,binary,binary,0.071,0.025,2.812,0.005,,,,medium,"House has a guest room; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Basement,basement,A_structural,binary,binary,0.091,0.021,4.293,,,,,medium,"p printed as '< 0.0001'; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Hot Water Heating,heating,A_structural,binary,binary,0.164,0.043,3.814,0.0002,,,,medium,"Hot water heating system; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Airconditioning,air_conditioning,A_structural,binary,binary,0.173,0.021,8.298,,,,,medium,"p printed as '< 0.0001'; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Parking,parking,A_structural,level,count,0.044,0.011,3.872,,,,,medium,"p printed as '< 0.0001'; Number of parking spaces; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Prefer area,other,other,binary,binary,0.123,0.022,5.5,,,,,medium,"p printed as '< 0.0001'; House located in a preferred area (yes/no); Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Semi-furnished,other,other,dummy,binary,0.021,0.023,0.92,0.358,,,,medium,"Furnishing status dummy, reference = fully furnished; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7,a072fb43e67fcc553e457777f0c68324ace19eb7:T2-c1,2,1,4,Unfurnished,other,other,dummy,binary,-0.108,0.024,-4.416,,,,,medium,"p printed as '< 0.0001'; Furnishing status dummy, reference = fully furnished; Kaggle toy dataset of unverifiable provenance (compiled 'from various websites', published 2023; country/period unknown, paper labels it US)",log housing price (currency not stated; dataset labelled 'US'),log,OLS,544.0,0.697,none,"Full Kaggle 'Housing Price Prediction' dataset after removing 1 outlier (545 -> 544); adjusted R2 0.6896, RSE 0.2059; SE, t, p, VIF printed in columns"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.21734,,7.79,,***,,,high,Linear term of the school-quality polynomial,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.22192,,7.13,,***,,,high,Linear term of the school-quality polynomial,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.31693,,7.7,,***,,,high,Linear term of the school-quality polynomial,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,test math sq,school_quality,F_neighbourhood,squared,standard deviations squared,0.03002,,1.48,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,test math sq,school_quality,F_neighbourhood,squared,standard deviations squared,0.01555,,0.76,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,test math cb,school_quality,F_neighbourhood,other,standard deviations cubed,-0.03606,,-2.6,,**,,,high,Cubic term,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house bedrooms,bedrooms,A_structural,level,count,0.01062,,1.09,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house bedrooms,bedrooms,A_structural,level,count,0.01502,,1.52,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house bedrooms,bedrooms,A_structural,level,count,0.01575,,1.62,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house bathrooms,bathrooms,A_structural,level,count,0.14086,,4.75,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house bathrooms,bathrooms,A_structural,level,count,0.14413,,4.93,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house bathrooms,bathrooms,A_structural,level,count,0.13458,,4.44,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house baths sq,bathrooms,A_structural,squared,count squared,-0.00612,,-1.14,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house baths sq,bathrooms,A_structural,squared,count squared,-0.0074,,-1.37,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house baths sq,bathrooms,A_structural,squared,count squared,-0.00501,,-0.89,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house age,age,A_structural,level,years,0.00065,,0.37,,,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house age,age,A_structural,level,years,0.00057,,0.31,,,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house age,age,A_structural,level,years,0.00123,,0.67,,,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house age sq,age,A_structural,squared,years squared,2e-05,,1.35,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house age sq,age,A_structural,squared,years squared,2e-05,,1.31,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house age sq,age,A_structural,squared,years squared,2e-05,,1.03,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house lotarea,lot_size,A_structural,level,1000 sqft,0.00123,,4.21,,***,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house lotarea,lot_size,A_structural,level,1000 sqft,0.0012,,4.27,,***,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house lotarea,lot_size,A_structural,level,1000 sqft,0.00119,,4.17,,***,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house livingarea,living_area,A_structural,level,1000 sqft,0.45365,,20.02,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house livingarea,living_area,A_structural,level,1000 sqft,0.44475,,17.35,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house livingarea,living_area,A_structural,level,1000 sqft,0.43526,,19.05,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house stories,storeys,A_structural,level,count,0.39693,,11.29,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house stories,storeys,A_structural,level,count,0.38775,,10.58,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house stories,storeys,A_structural,level,count,0.37835,,10.87,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,house rooms,other,other,level,count,0.07484,,10.1,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,house rooms,other,other,level,count,0.07421,,10.21,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,house rooms,other,other,level,count,0.07245,,10.11,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,cenbl fem,demographics,F_neighbourhood,level,"percent (share of female population, census block)",-0.00061,,-0.88,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,cenbl fem,demographics,F_neighbourhood,level,"percent (share of female population, census block)",-0.0005,,-0.73,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,cenbl fem,demographics,F_neighbourhood,level,"percent (share of female population, census block)",-0.00053,,-0.79,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,cenbl nonwhite,demographics,F_neighbourhood,level,"percent (share of nonwhite population, census block)",-0.00221,,-3.62,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,cenbl nonwhite,demographics,F_neighbourhood,level,"percent (share of nonwhite population, census block)",-0.00277,,-5.06,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,cenbl nonwhite,demographics,F_neighbourhood,level,"percent (share of nonwhite population, census block)",-0.00257,,-4.57,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,cenbl p5 14,demographics,F_neighbourhood,level,"percent (share of population aged 5-14, census block)",-0.00017,,-0.19,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,cenbl p5 14,demographics,F_neighbourhood,level,"percent (share of population aged 5-14, census block)",-0.00033,,-0.38,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,cenbl p5 14,demographics,F_neighbourhood,level,"percent (share of population aged 5-14, census block)",-0.00021,,-0.24,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c1,3,1,25,tax,public_services,F_neighbourhood,level,"property tax rate ($ per $1,000 assessed value, school district)",-0.04636,,-1.65,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.697,t,"Full sample, linear in test score, neighbourhood (census block) controls and tax rate, no boundary FE"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c2,3,2,25,tax,public_services,F_neighbourhood,level,"property tax rate ($ per $1,000 assessed value, school district)",-0.04457,,-1.51,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.699,t,"Full sample, quadratic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T3-c3,3,3,25,tax,public_services,F_neighbourhood,level,"property tax rate ($ per $1,000 assessed value, school district)",-0.03562,,-1.28,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,38656.0,0.702,t,"Full sample, cubic in test score"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.06437,,2.58,,**,,,high,Linear term of the school-quality polynomial; boundary fixed effects,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.06274,,2.9,,***,,,high,Linear term of the school-quality polynomial; boundary fixed effects,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.04659,,1.64,,,,,high,Linear term of the school-quality polynomial; boundary fixed effects,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.03227,,1.78,,*,,,high,Linear term of the school-quality polynomial; boundary fixed effects,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.03579,,1.93,,*,,,high,Linear term of the school-quality polynomial; boundary fixed effects,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,test math,school_quality,F_neighbourhood,level,"standard deviations (school-level Math MAP index, 4th grade, averaged 1998-2001)",0.03172,,1.2,,,,,high,Linear term of the school-quality polynomial; boundary fixed effects,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,test math sq,school_quality,F_neighbourhood,squared,standard deviations squared,0.02656,,2.47,,**,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,test math sq,school_quality,F_neighbourhood,squared,standard deviations squared,0.02909,,2.47,,**,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,test math sq,school_quality,F_neighbourhood,squared,standard deviations squared,0.02209,,2.48,,**,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,test math sq,school_quality,F_neighbourhood,squared,standard deviations squared,0.02284,,2.4,,**,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,test math cb,school_quality,F_neighbourhood,other,standard deviations cubed,0.00514,,0.73,,,,,high,Cubic term,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,test math cb,school_quality,F_neighbourhood,other,standard deviations cubed,0.00137,,0.21,,,,,high,Cubic term,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house bedrooms,bedrooms,A_structural,level,count,0.03726,,3.88,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house bedrooms,bedrooms,A_structural,level,count,0.0373,,3.89,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house bedrooms,bedrooms,A_structural,level,count,0.03749,,3.9,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house bedrooms,bedrooms,A_structural,level,count,0.03816,,4.02,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house bedrooms,bedrooms,A_structural,level,count,0.03805,,4.01,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house bedrooms,bedrooms,A_structural,level,count,0.03809,,4.0,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house bathrooms,bathrooms,A_structural,level,count,0.10834,,5.78,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house bathrooms,bathrooms,A_structural,level,count,0.10785,,5.8,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house bathrooms,bathrooms,A_structural,level,count,0.10792,,5.82,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house bathrooms,bathrooms,A_structural,level,count,0.10349,,5.81,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house bathrooms,bathrooms,A_structural,level,count,0.10318,,5.82,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house bathrooms,bathrooms,A_structural,level,count,0.1032,,5.83,,***,,,high,Quadratic in bathrooms (baths sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house baths sq,bathrooms,A_structural,squared,count squared,-0.00529,,-1.68,,*,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house baths sq,bathrooms,A_structural,squared,count squared,-0.00533,,-1.7,,*,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house baths sq,bathrooms,A_structural,squared,count squared,-0.00535,,-1.71,,*,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house baths sq,bathrooms,A_structural,squared,count squared,-0.00488,,-1.58,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house baths sq,bathrooms,A_structural,squared,count squared,-0.00491,,-1.6,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house baths sq,bathrooms,A_structural,squared,count squared,-0.00491,,-1.6,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house age,age,A_structural,level,years,-0.00408,,-2.73,,***,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house age,age,A_structural,level,years,-0.00411,,-2.75,,***,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house age,age,A_structural,level,years,-0.00412,,-2.76,,***,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house age,age,A_structural,level,years,-0.00453,,-3.11,,***,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house age,age,A_structural,level,years,-0.00454,,-3.13,,***,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house age,age,A_structural,level,years,-0.00454,,-3.14,,***,,,high,Quadratic in age (age sq also included),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house age sq,age,A_structural,squared,years squared,4e-05,,2.89,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house age sq,age,A_structural,squared,years squared,4e-05,,2.91,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house age sq,age,A_structural,squared,years squared,4e-05,,2.92,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house age sq,age,A_structural,squared,years squared,4e-05,,3.15,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house age sq,age,A_structural,squared,years squared,4e-05,,3.16,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house age sq,age,A_structural,squared,years squared,4e-05,,3.17,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house lotarea,lot_size,A_structural,level,1000 sqft,0.00089,,2.41,,**,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house lotarea,lot_size,A_structural,level,1000 sqft,0.00089,,2.41,,**,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house lotarea,lot_size,A_structural,level,1000 sqft,0.00089,,2.41,,**,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house lotarea,lot_size,A_structural,level,1000 sqft,0.00088,,2.39,,**,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house lotarea,lot_size,A_structural,level,1000 sqft,0.00088,,2.4,,**,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house lotarea,lot_size,A_structural,level,1000 sqft,0.00088,,2.39,,**,,,high,Lot area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house livingarea,living_area,A_structural,level,1000 sqft,0.35315,,15.43,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house livingarea,living_area,A_structural,level,1000 sqft,0.35228,,15.29,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house livingarea,living_area,A_structural,level,1000 sqft,0.35236,,15.29,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house livingarea,living_area,A_structural,level,1000 sqft,0.34332,,15.52,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house livingarea,living_area,A_structural,level,1000 sqft,0.34297,,15.49,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house livingarea,living_area,A_structural,level,1000 sqft,0.34301,,15.49,,***,,,high,Internal living area in thousands of square feet (Table 1),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house stories,storeys,A_structural,level,count,0.27574,,9.3,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house stories,storeys,A_structural,level,count,0.27559,,9.3,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house stories,storeys,A_structural,level,count,0.27558,,9.31,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house stories,storeys,A_structural,level,count,0.26621,,9.55,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house stories,storeys,A_structural,level,count,0.26625,,9.57,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house stories,storeys,A_structural,level,count,0.26626,,9.57,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c1,5,1,27,house rooms,other,other,level,count,0.05974,,7.38,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.769,t,"Boundary sample (houses within 0.1 mile of elementary attendance-zone boundaries), linear, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c2,5,2,27,house rooms,other,other,level,count,0.05952,,7.33,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, quadratic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c3,5,3,27,house rooms,other,other,level,count,0.05945,,7.31,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10190.0,0.77,t,"Boundary sample, cubic, boundary FE, no neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,house rooms,other,other,level,count,0.05902,,7.43,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,house rooms,other,other,level,count,0.05893,,7.4,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,house rooms,other,other,level,count,0.05891,,7.39,,***,,,high,Total number of rooms (bedrooms entered separately),log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,cenbl fem,demographics,F_neighbourhood,level,"percent (share of female population, census block)",-0.00044,,-0.66,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,cenbl fem,demographics,F_neighbourhood,level,"percent (share of female population, census block)",-0.00039,,-0.59,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,cenbl fem,demographics,F_neighbourhood,level,"percent (share of female population, census block)",-0.00039,,-0.59,,,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,cenbl nonwhite,demographics,F_neighbourhood,level,"percent (share of nonwhite population, census block)",-0.00219,,-3.5,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,cenbl nonwhite,demographics,F_neighbourhood,level,"percent (share of nonwhite population, census block)",-0.00223,,-3.56,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,cenbl nonwhite,demographics,F_neighbourhood,level,"percent (share of nonwhite population, census block)",-0.00222,,-3.55,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,cenbl p5 14,demographics,F_neighbourhood,level,"percent (share of population aged 5-14, census block)",0.00154,,2.25,,**,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,cenbl p5 14,demographics,F_neighbourhood,level,"percent (share of population aged 5-14, census block)",0.00153,,2.24,,**,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,cenbl p5 14,demographics,F_neighbourhood,level,"percent (share of population aged 5-14, census block)",0.00154,,2.25,,**,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c4,5,4,27,tax,public_services,F_neighbourhood,level,"property tax rate ($ per $1,000 assessed value, school district)",-0.06787,,-3.21,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, linear, boundary FE, with neighbourhood controls and tax"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c5,5,5,27,tax,public_services,F_neighbourhood,level,"property tax rate ($ per $1,000 assessed value, school district)",-0.05526,,-2.88,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, quadratic, boundary FE, with neighbourhood controls"
a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636,a2a7539a9c4a1cf05650ab56eedb83ae824bb636:T5-c6,5,6,27,tax,public_services,F_neighbourhood,level,"property tax rate ($ per $1,000 assessed value, school district)",-0.05465,,-2.73,,***,,,high,,log adj price: log of sale price deflated to 1998 US$ (OFHEO St. Louis index),log,OLS,10182.0,0.772,t,"Boundary sample, cubic, boundary FE, with neighbourhood controls"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T2-c1,2,1,13,Treatment effect,flood_risk,E_environment,other,binary,-0.0042,0.0098,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"houses in flood-risk zones (treated) vs houses 0.5-3 km outside (control), Germany 2014-2022; zip-code FE + year-month FE (Eq. 1, main)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T2-c2,2,2,13,Treatment effect,flood_risk,E_environment,other,binary,-0.0042,0.0098,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"houses in flood-risk zones (treated) vs houses 0.5-3 km outside (control), Germany 2014-2022; zip-code FE + year FE + month FE (no year-month FE)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T2-c3,2,3,13,Treatment effect,flood_risk,E_environment,other,binary,0.0035,0.0104,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1468567.0,,se,"houses in flood-risk zones (treated) vs houses 0.5-3 km outside (control), Germany 2014-2022; county FE + year-month FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T2-c4,2,4,13,Treatment effect,flood_risk,E_environment,other,binary,-0.0066,0.0083,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1457476.0,,se,"houses in flood-risk zones (treated) vs houses 0.5-3 km outside (control), Germany 2014-2022; 1 km2 grid FE + year-month FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T2-c5,2,5,13,Treatment effect,flood_risk,E_environment,other,binary,-0.0071,0.01,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"houses in flood-risk zones (treated) vs houses 0.5-3 km outside (control), Germany 2014-2022; zip-code FE + year-month FE + county x year linear trends"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c1,3 (Panel A),1,15,Treatment effect,flood_risk,E_environment,other,binary,-0.0592,0.0165,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here evaluated at distance 0 km to the flooded area",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"as Table 2 column 1 (zip-code FE + year-month FE (Eq. 1, main)); treatment effect interacted with continuous distance to the 2021 flooded area"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c1,3 (Panel A),1,15,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0003,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to nearest potentially flooded area of the July 2021 flood,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"as Table 2 column 1 (zip-code FE + year-month FE (Eq. 1, main)); treatment effect interacted with continuous distance to the 2021 flooded area"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c1,3 (Panel A),1,15,Distance to flooded area (km),flood_risk,E_environment,level,km,-0.0006,0.0002,,,**,,,high,"uninteracted continuous distance from the house to the nearest potentially flooded area (July 2021 Western European flood), in km",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"as Table 2 column 1 (zip-code FE + year-month FE (Eq. 1, main)); treatment effect interacted with continuous distance to the 2021 flooded area"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c1,3 (Panel B),1,15,Treatment effect,flood_risk,E_environment,other,binary,0.0134,0.0122,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here for counties with below-median climate change beliefs",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"as Table 2 column 1 (zip-code FE + year-month FE (Eq. 1, main)); treatment effect interacted with indicator for counties with above-median belief in human-made climate change"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c1,3 (Panel B),1,15,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0422,0.0178,,,**,,,high,triple interaction: flood-risk zone x post-flood x county above-median share believing in human-made climate change,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"as Table 2 column 1 (zip-code FE + year-month FE (Eq. 1, main)); treatment effect interacted with indicator for counties with above-median belief in human-made climate change"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c1,3 (Panel B),1,15,High climate change beliefs,other,other,dummy,binary,0.0252,0.0143,,,*,,,high,county-level indicator (above-median share of population believing in human-made climate change); not a property characteristic,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"as Table 2 column 1 (zip-code FE + year-month FE (Eq. 1, main)); treatment effect interacted with indicator for counties with above-median belief in human-made climate change"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c2,3 (Panel A),2,15,Treatment effect,flood_risk,E_environment,other,binary,-0.0589,0.0165,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here evaluated at distance 0 km to the flooded area",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 2 (zip-code FE + year FE + month FE (no year-month FE)); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c2,3 (Panel A),2,15,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0003,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to nearest potentially flooded area of the July 2021 flood,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 2 (zip-code FE + year FE + month FE (no year-month FE)); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c2,3 (Panel A),2,15,Distance to flooded area (km),flood_risk,E_environment,level,km,-0.0006,0.0002,,,**,,,high,"uninteracted continuous distance from the house to the nearest potentially flooded area (July 2021 Western European flood), in km",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 2 (zip-code FE + year FE + month FE (no year-month FE)); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c2,3 (Panel B),2,15,Treatment effect,flood_risk,E_environment,other,binary,0.013,0.0122,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here for counties with below-median climate change beliefs",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 2 (zip-code FE + year FE + month FE (no year-month FE)); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c2,3 (Panel B),2,15,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.041,0.0179,,,**,,,high,triple interaction: flood-risk zone x post-flood x county above-median share believing in human-made climate change,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 2 (zip-code FE + year FE + month FE (no year-month FE)); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c2,3 (Panel B),2,15,High climate change beliefs,other,other,dummy,binary,0.0254,0.0144,,,*,,,high,county-level indicator (above-median share of population believing in human-made climate change); not a property characteristic,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 2 (zip-code FE + year FE + month FE (no year-month FE)); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c3,3 (Panel A),3,15,Treatment effect,flood_risk,E_environment,other,binary,-0.0361,0.0179,,,**,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here evaluated at distance 0 km to the flooded area",log listing price per m2 (EUR),per_m2,FE_panel,1468567.0,,se,as Table 2 column 3 (county FE + year-month FE); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c3,3 (Panel A),3,15,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0002,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to nearest potentially flooded area of the July 2021 flood,log listing price per m2 (EUR),per_m2,FE_panel,1468567.0,,se,as Table 2 column 3 (county FE + year-month FE); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c3,3 (Panel A),3,15,Distance to flooded area (km),flood_risk,E_environment,level,km,-0.0029,0.0005,,,***,,,high,"uninteracted continuous distance from the house to the nearest potentially flooded area (July 2021 Western European flood), in km",log listing price per m2 (EUR),per_m2,FE_panel,1468567.0,,se,as Table 2 column 3 (county FE + year-month FE); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c3,3 (Panel B),3,15,Treatment effect,flood_risk,E_environment,other,binary,0.0165,0.0131,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here for counties with below-median climate change beliefs",log listing price per m2 (EUR),per_m2,FE_panel,1468567.0,,se,as Table 2 column 3 (county FE + year-month FE); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c3,3 (Panel B),3,15,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0313,0.0187,,,*,,,high,triple interaction: flood-risk zone x post-flood x county above-median share believing in human-made climate change,log listing price per m2 (EUR),per_m2,FE_panel,1468567.0,,se,as Table 2 column 3 (county FE + year-month FE); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c3,3 (Panel B),3,15,High climate change beliefs,other,other,dummy,binary,0.0915,0.0204,,,***,,,high,county-level indicator (above-median share of population believing in human-made climate change); not a property characteristic,log listing price per m2 (EUR),per_m2,FE_panel,1468567.0,,se,as Table 2 column 3 (county FE + year-month FE); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c4,3 (Panel A),4,15,Treatment effect,flood_risk,E_environment,other,binary,-0.0421,0.0127,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here evaluated at distance 0 km to the flooded area",log listing price per m2 (EUR),per_m2,FE_panel,1457476.0,,se,as Table 2 column 4 (1 km2 grid FE + year-month FE); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c4,3 (Panel A),4,15,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0002,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to nearest potentially flooded area of the July 2021 flood,log listing price per m2 (EUR),per_m2,FE_panel,1457476.0,,se,as Table 2 column 4 (1 km2 grid FE + year-month FE); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c4,3 (Panel A),4,15,Distance to flooded area (km),flood_risk,E_environment,level,km,-0.0012,0.0045,,,,,,high,"uninteracted continuous distance from the house to the nearest potentially flooded area (July 2021 Western European flood), in km",log listing price per m2 (EUR),per_m2,FE_panel,1457476.0,,se,as Table 2 column 4 (1 km2 grid FE + year-month FE); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c4,3 (Panel B),4,15,Treatment effect,flood_risk,E_environment,other,binary,0.0029,0.0109,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here for counties with below-median climate change beliefs",log listing price per m2 (EUR),per_m2,FE_panel,1457476.0,,se,as Table 2 column 4 (1 km2 grid FE + year-month FE); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c4,3 (Panel B),4,15,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0218,0.0149,,,,,,high,triple interaction: flood-risk zone x post-flood x county above-median share believing in human-made climate change,log listing price per m2 (EUR),per_m2,FE_panel,1457476.0,,se,as Table 2 column 4 (1 km2 grid FE + year-month FE); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c4,3 (Panel B),4,15,High climate change beliefs,other,other,dummy,binary,-0.0125,0.0148,,,,,,high,county-level indicator (above-median share of population believing in human-made climate change); not a property characteristic,log listing price per m2 (EUR),per_m2,FE_panel,1457476.0,,se,as Table 2 column 4 (1 km2 grid FE + year-month FE); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c5,3 (Panel A),5,15,Treatment effect,flood_risk,E_environment,other,binary,-0.0585,0.0166,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here evaluated at distance 0 km to the flooded area",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 5 (zip-code FE + year-month FE + county x year linear trends); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c5,3 (Panel A),5,15,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0003,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to nearest potentially flooded area of the July 2021 flood,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 5 (zip-code FE + year-month FE + county x year linear trends); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3A-c5,3 (Panel A),5,15,Distance to flooded area (km),flood_risk,E_environment,level,km,-0.003,0.0007,,,***,,,high,"uninteracted continuous distance from the house to the nearest potentially flooded area (July 2021 Western European flood), in km",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 5 (zip-code FE + year-month FE + county x year linear trends); treatment effect interacted with continuous distance to the 2021 flooded area
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c5,3 (Panel B),5,15,Treatment effect,flood_risk,E_environment,other,binary,0.0088,0.0129,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; here for counties with below-median climate change beliefs",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 5 (zip-code FE + year-month FE + county x year linear trends); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c5,3 (Panel B),5,15,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0377,0.018,,,**,,,high,triple interaction: flood-risk zone x post-flood x county above-median share believing in human-made climate change,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 5 (zip-code FE + year-month FE + county x year linear trends); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T3B-c5,3 (Panel B),5,15,High climate change beliefs,other,other,dummy,binary,0.0227,0.015,,,,,,high,county-level indicator (above-median share of population believing in human-made climate change); not a property characteristic,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,as Table 2 column 5 (zip-code FE + year-month FE + county x year linear trends); treatment effect interacted with indicator for counties with above-median belief in human-made climate change
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c1,4 (Average effect),1,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0063,0.0103,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1050981.0,,se,"robustness: Spillovers: 1 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c1,4 (Distance heterogeneity),1,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0629,0.0168,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,1050981.0,,se,"robustness: Spillovers: 1 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c1,4 (Distance heterogeneity),1,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0003,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,1050981.0,,se,"robustness: Spillovers: 1 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c1,4 (Climate change belief heterogeneity),1,21,Treatment effect,flood_risk,E_environment,other,binary,0.0108,0.0129,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,1050981.0,,se,"robustness: Spillovers: 1 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c1,4 (Climate change belief heterogeneity),1,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0401,0.0179,,,**,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,1050981.0,,se,"robustness: Spillovers: 1 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c2,4 (Average effect),2,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0156,0.0106,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,831395.0,,se,"robustness: Spillovers: 1.5 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c2,4 (Distance heterogeneity),2,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0729,0.0156,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,831395.0,,se,"robustness: Spillovers: 1.5 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c2,4 (Distance heterogeneity),2,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0004,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,831395.0,,se,"robustness: Spillovers: 1.5 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c2,4 (Climate change belief heterogeneity),2,21,Treatment effect,flood_risk,E_environment,other,binary,0.0064,0.0134,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,831395.0,,se,"robustness: Spillovers: 1.5 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c2,4 (Climate change belief heterogeneity),2,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.049,0.0172,,,***,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,831395.0,,se,"robustness: Spillovers: 1.5 km buffer excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c3,4 (Average effect),3,21,Treatment effect,flood_risk,E_environment,other,binary,0.0026,0.0103,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1024595.0,,se,"robustness: Control group: distance to nearest treated house <= 3 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c3,4 (Distance heterogeneity),3,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0428,0.0166,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,1024595.0,,se,"robustness: Control group: distance to nearest treated house <= 3 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c3,4 (Distance heterogeneity),3,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0003,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,1024595.0,,se,"robustness: Control group: distance to nearest treated house <= 3 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c3,4 (Climate change belief heterogeneity),3,21,Treatment effect,flood_risk,E_environment,other,binary,0.0152,0.0131,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,1024595.0,,se,"robustness: Control group: distance to nearest treated house <= 3 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c3,4 (Climate change belief heterogeneity),3,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0297,0.0179,,,*,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,1024595.0,,se,"robustness: Control group: distance to nearest treated house <= 3 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c4,4 (Average effect),4,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0021,0.0102,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1125285.0,,se,"robustness: Control group: distance to flood risk area <= 2 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c4,4 (Distance heterogeneity),4,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0503,0.0165,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,1125285.0,,se,"robustness: Control group: distance to flood risk area <= 2 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c4,4 (Distance heterogeneity),4,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0003,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,1125285.0,,se,"robustness: Control group: distance to flood risk area <= 2 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c4,4 (Climate change belief heterogeneity),4,21,Treatment effect,flood_risk,E_environment,other,binary,0.0125,0.0132,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,1125285.0,,se,"robustness: Control group: distance to flood risk area <= 2 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c4,4 (Climate change belief heterogeneity),4,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0341,0.0181,,,*,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,1125285.0,,se,"robustness: Control group: distance to flood risk area <= 2 km; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c5,4 (Average effect),5,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0053,0.0107,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1263985.0,,se,"robustness: Exclusion of flooded areas: only certainly flooded area excluded (state-level trends); full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c5,4 (Distance heterogeneity),5,21,Treatment effect,flood_risk,E_environment,other,binary,-0.069,0.0197,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,1263985.0,,se,"robustness: Exclusion of flooded areas: only certainly flooded area excluded (state-level trends); full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c5,4 (Distance heterogeneity),5,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0004,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,1263985.0,,se,"robustness: Exclusion of flooded areas: only certainly flooded area excluded (state-level trends); full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c5,4 (Climate change belief heterogeneity),5,21,Treatment effect,flood_risk,E_environment,other,binary,0.0141,0.0137,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,1263985.0,,se,"robustness: Exclusion of flooded areas: only certainly flooded area excluded (state-level trends); full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c5,4 (Climate change belief heterogeneity),5,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.046,0.0192,,,**,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,1263985.0,,se,"robustness: Exclusion of flooded areas: only certainly flooded area excluded (state-level trends); full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c6,4 (Average effect),6,21,Treatment effect,flood_risk,E_environment,other,binary,-0.008,0.0097,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1559132.0,,se,"robustness: Exclusion of flooded areas: potentially flooded counties excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c6,4 (Distance heterogeneity),6,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0734,0.0163,,,***,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,1559132.0,,se,"robustness: Exclusion of flooded areas: potentially flooded counties excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c6,4 (Distance heterogeneity),6,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0003,0.0001,,,***,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,1559132.0,,se,"robustness: Exclusion of flooded areas: potentially flooded counties excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c6,4 (Climate change belief heterogeneity),6,21,Treatment effect,flood_risk,E_environment,other,binary,0.0141,0.0122,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,1559132.0,,se,"robustness: Exclusion of flooded areas: potentially flooded counties excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c6,4 (Climate change belief heterogeneity),6,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0503,0.0172,,,***,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,1559132.0,,se,"robustness: Exclusion of flooded areas: potentially flooded counties excluded; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c7,4 (Average effect),7,21,Treatment effect,flood_risk,E_environment,other,binary,0.0047,0.0071,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2019; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c7,4 (Distance heterogeneity),7,21,Treatment effect,flood_risk,E_environment,other,binary,-0.007,0.0108,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2019; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c7,4 (Distance heterogeneity),7,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0001,0.0001,,,,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2019; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c7,4 (Climate change belief heterogeneity),7,21,Treatment effect,flood_risk,E_environment,other,binary,0.0029,0.0096,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2019; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c7,4 (Climate change belief heterogeneity),7,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,0.0042,0.0123,,,,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2019; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4avg-c8,4 (Average effect),8,21,Treatment effect,flood_risk,E_environment,other,binary,0.0049,0.0074,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2020; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c8,4 (Distance heterogeneity),8,21,Treatment effect,flood_risk,E_environment,other,binary,-0.0092,0.0112,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; evaluated at distance 0 km",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2020; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4dist-c8,4 (Distance heterogeneity),8,21,Treatment effect × distance to flooded area (km),flood_risk,E_environment,other,km,0.0001,0.0001,,,,,,high,triple interaction: flood-risk zone x post-flood x distance (km) to flooded area,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2020; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted distance to flooded area (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c8,4 (Climate change belief heterogeneity),8,21,Treatment effect,flood_risk,E_environment,other,binary,0.0068,0.0101,,,,,,high,"DiD treatment effect = flood-risk-zone indicator x post-July-2021-flood indicator (interaction); treatment group dummy and post dummy included but not printed; property characteristics (construction year categories, living space, floors, rooms, cellar, condition) included but not printed; for low-belief counties",log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2020; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted high-belief indicator (coefficient not printed)"
a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4,a34939ebd1d20ba654297f426501ad47056b65a4:T4belief-c8,4 (Climate change belief heterogeneity),8,21,Treatment effect × high climate change beliefs,flood_risk,E_environment,other,binary,-0.0044,0.0127,,,,,,high,triple interaction: flood-risk zone x post-flood x high climate change belief county,log listing price per m2 (EUR),per_m2,FE_panel,1466509.0,,se,"robustness: Placebo flood July 2020; full controls, county x year linear trends (state-level in col 5), year-month FE, zip-code FE; PLACEBO treatment date; includes uninteracted high-belief indicator (coefficient not printed)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m1,3,Model (1),13,Grant for renovations (dummy),renovation,A_structural,dummy,binary,0.0386,,,,,,,medium,"1 if the owner received a public grant for renovations between sale and resale; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.575,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; base model: quarter dummies + renovation grant dummy"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m2,3,Model (2),13,Grant for renovations (dummy),renovation,A_structural,dummy,binary,0.0231,,,,,,,medium,"1 if the owner received a public grant for renovations between sale and resale; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.586,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds network-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m3,3,Model (3),13,Grant for renovations (dummy),renovation,A_structural,dummy,binary,0.0202,,,,,,,medium,"1 if the owner received a public grant for renovations between sale and resale; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.585,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds Euclidean-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m2,3,Model (2),13,"Network dist., 0 to 150 m (Buffer)",other,other,other,binary,-0.0405,,,,,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.586,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds network-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m2,3,Model (2),13,"Network dist., 150 to 300 m (Buffer)",other,other,other,binary,-0.2952,,,,**,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.586,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds network-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m2,3,Model (2),13,"Network dist., 300 to 450 m (Buffer)",other,other,other,binary,-0.2376,,,,*,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.586,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds network-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m2,3,Model (2),13,"Network dist., 450 to 600 m (Buffer)",other,other,other,binary,0.1353,,,,,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.586,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds network-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m3,3,Model (3),13,"Euclidean dist., 0 to 150 m (Buffer)",other,other,other,binary,0.0102,,,,,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.585,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds Euclidean-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m3,3,Model (3),13,"Euclidean dist., 150 to 300 m (Buffer)",other,other,other,binary,-0.2476,,,,**,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.585,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds Euclidean-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m3,3,Model (3),13,"Euclidean dist., 300 to 450 m (Buffer)",other,other,other,binary,0.0883,,,,,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.585,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds Euclidean-distance buffers to d'Auteuil Street (reference > 600 m)"
a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212,a5c3a8b4f02ea9b02009cba2eba334012eb7b212:T3-m3,3,Model (3),13,"Euclidean dist., 450 to 600 m (Buffer)",other,other,other,binary,0.0795,,,,,,,medium,"Policy impact dummy: distance buffer to the reorganised/landscaped d'Auteuil Street (Old Quebec) for units sold before and resold after the 2005 works; coefficient = change in willingness-to-pay by proximity (DiD), reference > 600 m; only significance stars printed (legend * p<0.05, ** p<0.01, *** p<0.001)","change in (log) condominium price between sale and resale (repeat-sales first difference), CAD",log,OLS,744.0,0.585,none,"Repeat-sales DiD first-difference equation, no constant; quarterly time dummies (1997-Q2 reference) not extracted; adds Euclidean-distance buffers to d'Auteuil Street (reference > 600 m)"
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,Log (size),living_area,A_structural,log,m2,0.664,,,2e-09,,,,high,natural log of structure size in m2; elasticity; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,Log (size),living_area,A_structural,log,m2,0.626,,,2e-09,,,,high,natural log of structure size in m2; elasticity; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,Log (size),living_area,A_structural,log,m2,0.558,,,2e-09,,,,high,natural log of structure size in m2; elasticity; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,Log (size),living_area,A_structural,log,m2,0.479,,,2e-09,,,,high,natural log of structure size in m2; elasticity; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,Log (size),living_area,A_structural,log,m2,0.512,,,2e-09,,,,high,natural log of structure size in m2; elasticity; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,Bedrooms,bedrooms,A_structural,level,count,0.003,,,0.313,,,,high,number of bedrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,Bedrooms,bedrooms,A_structural,level,count,0.017,,,2e-09,,,,high,number of bedrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,Bedrooms,bedrooms,A_structural,level,count,0.021,,,2e-09,,,,high,number of bedrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,Bedrooms,bedrooms,A_structural,level,count,0.034,,,2e-09,,,,high,number of bedrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,Bedrooms,bedrooms,A_structural,level,count,0.025,,,2e-09,,,,high,number of bedrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,Bathrooms,bathrooms,A_structural,level,count,0.111,,,2e-09,,,,high,number of bathrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,Bathrooms,bathrooms,A_structural,level,count,0.096,,,2e-09,,,,high,number of bathrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,Bathrooms,bathrooms,A_structural,level,count,0.112,,,2e-09,,,,high,number of bathrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,Bathrooms,bathrooms,A_structural,level,count,0.117,,,2e-09,,,,high,number of bathrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,Bathrooms,bathrooms,A_structural,level,count,0.112,,,2e-09,,,,high,number of bathrooms; only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,Cluster,dwelling_type,A_structural,dummy,binary,0.09,,,2e-09,,,,high,cluster home vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,Cluster,dwelling_type,A_structural,dummy,binary,0.136,,,2e-09,,,,high,cluster home vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,Cluster,dwelling_type,A_structural,dummy,binary,0.146,,,2e-09,,,,high,cluster home vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,Cluster,dwelling_type,A_structural,dummy,binary,0.187,,,2e-09,,,,high,cluster home vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,Cluster,dwelling_type,A_structural,dummy,binary,0.187,,,2e-09,,,,high,cluster home vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,Duplex,dwelling_type,A_structural,dummy,binary,0.003,,,0.874,,,,high,duplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,Duplex,dwelling_type,A_structural,dummy,binary,0.025,,,0.104,,,,high,duplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,Duplex,dwelling_type,A_structural,dummy,binary,0.035,,,0.024,,,,high,duplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,Duplex,dwelling_type,A_structural,dummy,binary,0.086,,,2e-09,,,,high,duplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,Duplex,dwelling_type,A_structural,dummy,binary,0.079,,,2e-09,,,,high,duplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,House,dwelling_type,A_structural,dummy,binary,0.027,,,0.0003,,,,high,house vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,House,dwelling_type,A_structural,dummy,binary,0.063,,,2e-09,,,,high,house vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,House,dwelling_type,A_structural,dummy,binary,0.103,,,2e-09,,,,high,house vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,House,dwelling_type,A_structural,dummy,binary,0.158,,,2e-09,,,,high,house vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,House,dwelling_type,A_structural,dummy,binary,0.141,,,2e-09,,,,high,house vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,Simplex,dwelling_type,A_structural,dummy,binary,0.061,,,4e-05,,,,high,"simplex vs apartment (reference); p printed as '4-e5' (typo), read as 4e-5; only p-value printed","listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,Simplex,dwelling_type,A_structural,dummy,binary,0.068,,,5e-07,,,,high,simplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,Simplex,dwelling_type,A_structural,dummy,binary,0.078,,,2e-09,,,,high,simplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,Simplex,dwelling_type,A_structural,dummy,binary,0.117,,,2e-09,,,,high,simplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,Simplex,dwelling_type,A_structural,dummy,binary,0.087,,,2e-09,,,,high,simplex vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2013,4,2013,9,Townhouse,dwelling_type,A_structural,dummy,binary,0.05,,,0.064,,,,high,townhouse vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2013 (training split 70%); gamma GLM log link; deviance explained 0.89
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2014,4,2014,9,Townhouse,dwelling_type,A_structural,dummy,binary,0.063,,,2e-09,,,,high,townhouse vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2014 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2015,4,2015,9,Townhouse,dwelling_type,A_structural,dummy,binary,0.077,,,2e-09,,,,high,townhouse vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2015 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2016,4,2016,9,Townhouse,dwelling_type,A_structural,dummy,binary,0.09,,,2e-09,,,,high,townhouse vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2016 (training split 70%); gamma GLM log link; deviance explained 0.87
a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4,a7a83b631f85316bae926a6c965b325fb26c01c4:T4-2017,4,2017,9,Townhouse,dwelling_type,A_structural,dummy,binary,0.099,,,2e-09,,,,high,townhouse vs apartment (reference); only p-value printed,"listing price (ZAR), gamma GLM log link",log,other,415200.0,,p,Listings of year 2017 (training split 70%); gamma GLM log link; deviance explained 0.88
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c1,2,1,7,South,sunlight,E_environment,binary,binary,0.08,0.003,,,***,,,medium,indicator for south-facing orientation (access to sunlight); reference = other orientations; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c2,2,2,7,South,sunlight,E_environment,binary,binary,0.066,0.003,,,***,,,medium,indicator for south-facing orientation (access to sunlight); reference = other orientations; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c3,2,3,7,South,sunlight,E_environment,binary,binary,0.067,0.003,,,***,,,medium,indicator for south-facing orientation (access to sunlight); reference = other orientations; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.234,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,South,sunlight,E_environment,binary,binary,0.071,0.006,,,***,,,medium,indicator for south-facing orientation (access to sunlight); reference = other orientations; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,South,sunlight,E_environment,binary,binary,0.077,0.009,,,***,,,medium,indicator for south-facing orientation (access to sunlight); reference = other orientations; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,South,sunlight,E_environment,binary,binary,0.072,0.002,,,***,,,medium,indicator for south-facing orientation (access to sunlight); reference = other orientations; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,South,sunlight,E_environment,binary,binary,0.071,0.002,,,***,,,medium,indicator for south-facing orientation (access to sunlight); reference = other orientations; SE printed as negative in table (sign dropped),log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c1,2,1,7,Rheight,floor_level,A_structural,level,share,2.771,0.078,,,***,,,medium,relative height = floor / total storeys of building (0-1); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c2,2,2,7,Rheight,floor_level,A_structural,level,share,2.732,0.072,,,***,,,medium,relative height = floor / total storeys of building (0-1); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c3,2,3,7,Rheight,floor_level,A_structural,level,share,2.932,0.073,,,***,,,medium,relative height = floor / total storeys of building (0-1); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.234,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Rheight,floor_level,A_structural,level,share,2.551,0.092,,,***,,,medium,relative height = floor / total storeys of building (0-1); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Rheight,floor_level,A_structural,level,share,2.441,0.081,,,***,,,medium,relative height = floor / total storeys of building (0-1); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Rheight,floor_level,A_structural,level,share,2.516,0.057,,,***,,,medium,relative height = floor / total storeys of building (0-1); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Rheight,floor_level,A_structural,level,share,2.519,0.075,,,***,,,medium,relative height = floor / total storeys of building (0-1); SE printed as negative in table (sign dropped),log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c1,2,1,7,Rheight2,floor_level,A_structural,squared,share,-1.251,0.164,,,***,,,medium,square of relative height; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c2,2,2,7,Rheight2,floor_level,A_structural,squared,share,-1.207,0.181,,,***,,,medium,square of relative height; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c3,2,3,7,Rheight2,floor_level,A_structural,squared,share,-1.133,0.157,,,***,,,medium,square of relative height; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.234,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Rheight2,floor_level,A_structural,squared,share,-1.35,0.164,,,***,,,medium,square of relative height; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Rheight2,floor_level,A_structural,squared,share,-1.523,0.167,,,***,,,medium,square of relative height; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Rheight2,floor_level,A_structural,squared,share,-1.521,0.15,,,***,,,medium,square of relative height; SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Rheight2,floor_level,A_structural,squared,share,-1.516,0.154,,,***,,,medium,square of relative height; SE printed as negative in table (sign dropped),log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c1,2,1,7,Age,age,A_structural,level,years,0.072,0.006,,,***,,,medium,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c2,2,2,7,Age,age,A_structural,level,years,0.067,0.006,,,***,,,medium,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.239,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c3,2,3,7,Age,age,A_structural,level,years,0.081,0.006,,,***,,,medium,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.234,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Age,age,A_structural,level,years,0.075,0.006,,,***,,,medium,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Age,age,A_structural,level,years,0.049,0.006,,,***,,,medium,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Age,age,A_structural,level,years,0.025,0.005,,,***,,,medium,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Age,age,A_structural,level,years,0.026,0.005,,,***,,,medium,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Area,living_area,A_structural,other,m2,1.02,0.015,,,***,,,medium,"total floor area; transformation not stated, magnitude (1.02) suggests log; only in column (7); SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c3,2,3,7,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.023,0.007,,,***,,,medium,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.234,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.023,0.007,,,***,,,medium,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.108,0.008,,,***,,,medium,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.109,0.013,,,***,,,medium,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.112,0.014,,,***,,,medium,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); SE printed as negative in table (sign dropped),log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c3,2,3,7,Dust,air_pollution,E_environment,level,tons/km2,-0.354,0.06,,,***,,,medium,"dust pollution, district-level 6-month geometric mean, tons per km2; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.234,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Dust,air_pollution,E_environment,level,tons/km2,-0.353,0.06,,,***,,,medium,"dust pollution, district-level 6-month geometric mean, tons per km2; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Dust,air_pollution,E_environment,level,tons/km2,-0.332,0.068,,,***,,,medium,"dust pollution, district-level 6-month geometric mean, tons per km2; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Dust,air_pollution,E_environment,level,tons/km2,-0.321,0.061,,,***,,,medium,"dust pollution, district-level 6-month geometric mean, tons per km2; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Dust,air_pollution,E_environment,level,tons/km2,-0.319,0.021,,,***,,,medium,"dust pollution, district-level 6-month geometric mean, tons per km2; SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.91,0.137,,,***,,,medium,"district-level population density (mean 2.66, scale unit not stated); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.935,0.143,,,***,,,medium,"district-level population density (mean 2.66, scale unit not stated); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.833,0.138,,,***,,,medium,"district-level population density (mean 2.66, scale unit not stated); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.831,0.136,,,***,,,medium,"district-level population density (mean 2.66, scale unit not stated); SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Factory,hazard_site,E_environment,level,count,-0.06,0.029,,,**,,,medium,"number of factories in district (count, not distance); yearly district data; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Factory,hazard_site,E_environment,level,count,-0.022,0.021,,,,,,medium,"number of factories in district (count, not distance); yearly district data; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Factory,hazard_site,E_environment,level,count,-0.113,0.05,,,**,,,medium,"number of factories in district (count, not distance); yearly district data; SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Factory,hazard_site,E_environment,level,count,-0.121,0.05,,,**,,,medium,"number of factories in district (count, not distance); yearly district data; SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,School,school_distance,D_location,level,count,0.754,0.161,,,***,,,medium,"number of schools in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,School,school_distance,D_location,level,count,1.362,0.163,,,***,,,medium,"number of schools in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,School,school_distance,D_location,level,count,1.216,0.156,,,***,,,medium,"number of schools in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,School,school_distance,D_location,level,count,1.218,0.161,,,***,,,medium,"number of schools in district (count, not distance); SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Shopping,commercial_distance,D_location,level,count,0.573,0.139,,,***,,,medium,"number of shopping malls in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Shopping,commercial_distance,D_location,level,count,1.123,0.139,,,***,,,medium,"number of shopping malls in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Shopping,commercial_distance,D_location,level,count,0.234,0.134,,,*,,,medium,"number of shopping malls in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Shopping,commercial_distance,D_location,level,count,0.241,0.122,,,*,,,medium,"number of shopping malls in district (count, not distance); SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Hospital,hospital_distance,D_location,level,count,2.014,0.46,,,***,,,medium,"number of hospitals in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Hospital,hospital_distance,D_location,level,count,0.284,0.479,,,,,,medium,"number of hospitals in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Hospital,hospital_distance,D_location,level,count,3.411,0.452,,,***,,,medium,"number of hospitals in district (count, not distance); SE printed as negative in table (sign dropped)","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Hospital,hospital_distance,D_location,level,count,3.419,0.422,,,***,,,medium,"number of hospitals in district (count, not distance); SE printed as negative in table (sign dropped)",log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c4,2,4,7,Greenspace,green_space,E_environment,level,m2 per capita,0.004,0.001,,,***,,,medium,green space per capita in district (mean 3654); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.372,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c5,2,5,7,Greenspace,green_space,E_environment,level,m2 per capita,0.005,0.001,,,**,,,medium,green space per capita in district (mean 3654); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.355,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c6,2,6,7,Greenspace,green_space,E_environment,level,m2 per capita,0.006,0.002,,,***,,,medium,green space per capita in district (mean 3654); SE printed as negative in table (sign dropped),"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.479,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:T2-c7,2,7,7,Greenspace,green_space,E_environment,level,m2 per capita,0.006,0.002,,,***,,,medium,green space per capita in district (mean 3654); SE printed as negative in table (sign dropped),log price (column 7 adds Area as control; table header still says unit price but note implies total price - ambiguous),log,OLS,40448.0,0.421,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,11,South,sunlight,E_environment,binary,binary,0.067,0.003,,,***,,,high,indicator for south-facing orientation (access to sunlight); reference = other orientations; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,11,South,sunlight,E_environment,binary,binary,0.071,0.006,,,***,,,high,indicator for south-facing orientation (access to sunlight); reference = other orientations; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,11,South,sunlight,E_environment,binary,binary,0.077,0.009,,,***,,,high,indicator for south-facing orientation (access to sunlight); reference = other orientations; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,11,South,sunlight,E_environment,binary,binary,0.072,0.002,,,***,,,high,indicator for south-facing orientation (access to sunlight); reference = other orientations; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,11,Rheight,floor_level,A_structural,level,share,1.932,0.073,,,***,,,high,relative height = floor / total storeys of building (0-1); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,11,Rheight,floor_level,A_structural,level,share,1.552,0.092,,,***,,,high,relative height = floor / total storeys of building (0-1); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,11,Rheight,floor_level,A_structural,level,share,1.433,0.076,,,***,,,high,relative height = floor / total storeys of building (0-1); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,11,Rheight,floor_level,A_structural,level,share,1.522,0.061,,,***,,,high,relative height = floor / total storeys of building (0-1); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,11,Rheight2,floor_level,A_structural,squared,share,-1.133,0.157,,,***,,,high,square of relative height; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,11,Rheight2,floor_level,A_structural,squared,share,-1.35,0.164,,,***,,,high,square of relative height; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,11,Rheight2,floor_level,A_structural,squared,share,-1.531,0.167,,,***,,,high,square of relative height; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,11,Rheight2,floor_level,A_structural,squared,share,-1.532,0.15,,,***,,,high,square of relative height; main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,11,Age,age,A_structural,level,years,0.081,0.006,,,***,,,high,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,11,Age,age,A_structural,level,years,0.072,0.006,,,***,,,high,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,11,Age,age,A_structural,level,years,0.047,0.006,,,***,,,high,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,11,Age,age,A_structural,level,years,0.026,0.005,,,***,,,high,"age of unit in years (mean 17.5); transformation not stated in paper, positive sign unusual; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,11,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.023,0.006,,,***,,,high,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,11,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.108,0.007,,,***,,,high,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,11,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.111,0.008,,,***,,,high,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,11,PM25,air_pollution,E_environment,level,mg/m3 (as printed),-0.121,0.013,,,***,,,high,district-level geometric mean of previous 6 months; paper states unit mg/m3 (mean 50.7); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,11,Dust,air_pollution,E_environment,level,tons/km2,-0.354,0.06,,,***,,,high,"dust pollution, district-level 6-month geometric mean, tons per km2; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,11,Dust,air_pollution,E_environment,level,tons/km2,-0.353,0.06,,,***,,,high,"dust pollution, district-level 6-month geometric mean, tons per km2; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,11,Dust,air_pollution,E_environment,level,tons/km2,-0.331,0.068,,,***,,,high,"dust pollution, district-level 6-month geometric mean, tons per km2; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,11,Dust,air_pollution,E_environment,level,tons/km2,-0.323,0.061,,,***,,,high,"dust pollution, district-level 6-month geometric mean, tons per km2; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,11,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.807,0.124,,,***,,,high,"district-level population density (mean 2.66, scale unit not stated); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,11,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.914,0.137,,,***,,,high,"district-level population density (mean 2.66, scale unit not stated); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,11,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.932,0.143,,,***,,,high,"district-level population density (mean 2.66, scale unit not stated); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,11,Pop density,density,F_neighbourhood,level,per_km2 (scale not stated; mean 2.66),0.831,0.138,,,***,,,high,"district-level population density (mean 2.66, scale unit not stated); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,12,Factory,hazard_site,E_environment,level,count,-0.03,0.009,,,***,,,high,"number of factories in district (count, not distance); yearly district data; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,12,Factory,hazard_site,E_environment,level,count,-0.061,0.029,,,**,,,high,"number of factories in district (count, not distance); yearly district data; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,12,Factory,hazard_site,E_environment,level,count,-0.024,0.021,,,,,,high,"number of factories in district (count, not distance); yearly district data; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,12,Factory,hazard_site,E_environment,level,count,-0.121,0.05,,,**,,,high,"number of factories in district (count, not distance); yearly district data; main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,12,School,school_distance,D_location,level,count,0.643,0.034,,,***,,,high,"number of schools in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,12,School,school_distance,D_location,level,count,0.751,0.161,,,***,,,high,"number of schools in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,12,School,school_distance,D_location,level,count,1.359,0.163,,,***,,,high,"number of schools in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,12,School,school_distance,D_location,level,count,1.221,0.156,,,***,,,high,"number of schools in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,12,Shopping,commercial_distance,D_location,level,count,0.235,0.131,,,***,,,high,"number of shopping malls in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,12,Shopping,commercial_distance,D_location,level,count,0.573,0.141,,,***,,,high,"number of shopping malls in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,12,Shopping,commercial_distance,D_location,level,count,1.132,0.139,,,***,,,high,"number of shopping malls in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,12,Shopping,commercial_distance,D_location,level,count,0.241,0.134,,,*,,,high,"number of shopping malls in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,12,Hospital,hospital_distance,D_location,level,count,1.743,0.455,,,***,,,high,"number of hospitals in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,12,Hospital,hospital_distance,D_location,level,count,2.014,0.46,,,***,,,high,"number of hospitals in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,12,Hospital,hospital_distance,D_location,level,count,0.256,0.479,,,,,,high,"number of hospitals in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,12,Hospital,hospital_distance,D_location,level,count,3.411,0.452,,,***,,,high,"number of hospitals in district (count, not distance); main effect in a model with interaction terms","log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c1,A2,1,12,Greenspace,green_space,E_environment,level,m2 per capita,0.003,0.002,,,*,,,high,green space per capita in district (mean 3654); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.644,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c2,A2,2,12,Greenspace,green_space,E_environment,level,m2 per capita,0.004,0.001,,,***,,,high,green space per capita in district (mean 3654); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.643,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c3,A2,3,12,Greenspace,green_space,E_environment,level,m2 per capita,0.005,0.001,,,**,,,high,green space per capita in district (mean 3654); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.641,se,
a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579,a7fe404df2e413395450e192cebe2f68aa921579:TA2-c4,A2,4,12,Greenspace,green_space,E_environment,level,m2 per capita,0.006,0.002,,,***,,,high,green space per capita in district (mean 3654); main effect in a model with interaction terms,"log(unit price per m2, 10,000 CNY/m2)",log,OLS,40448.0,0.642,se,
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Municipality,other,other,binary,binary,0.236,0.01,,,***,,,high,Located in a municipality under central-government control (urban status indicator),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Municipality,other,other,binary,binary,0.184,0.089,,,**,,,high,Located in a municipality under central-government control (urban status indicator),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Municipality,other,other,binary,binary,0.236,0.01,,,***,,,high,Located in a municipality under central-government control (urban status indicator),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Municipality,other,other,binary,binary,0.184,0.089,,,**,,,high,Located in a municipality under central-government control (urban status indicator),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,ln (house area),living_area,A_structural,log,ping,0.904,0.003,,,***,,,high,Log of transaction area in pings (1 ping = 3.306 m2); elasticity,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,ln (house area),living_area,A_structural,log,ping,0.905,0.003,,,***,,,high,Log of transaction area in pings (1 ping = 3.306 m2); elasticity,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,ln (house area),living_area,A_structural,log,ping,0.904,0.003,,,***,,,high,Log of transaction area in pings (1 ping = 3.306 m2); elasticity,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,ln (house area),living_area,A_structural,log,ping,0.905,0.003,,,***,,,high,Log of transaction area in pings (1 ping = 3.306 m2); elasticity,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Hall,other,other,level,count,0.0798,0.002,,,***,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Hall,other,other,level,count,0.08,0.002,,,***,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Hall,other,other,level,count,0.0798,0.002,,,***,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Hall,other,other,level,count,0.08,0.002,,,***,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,wall,other,other,binary,binary,-0.21,0.007,,,***,,,high,Partition walls present = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,wall,other,other,binary,binary,-0.21,0.007,,,***,,,high,Partition walls present = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,wall,other,other,binary,binary,-0.21,0.007,,,***,,,high,Partition walls present = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,wall,other,other,binary,binary,-0.211,0.007,,,***,,,high,Partition walls present = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Age,age,A_structural,level,years,-0.00631,,,,***,,,high,"Years between construction and transaction; SE printed as (0.000), rounded, recorded as null",ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Age,age,A_structural,level,years,-0.0063,,,,***,,,high,"Years between construction and transaction; SE printed as (0.000), rounded, recorded as null",ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Age,age,A_structural,level,years,-0.00631,,,,***,,,high,"Years between construction and transaction; SE printed as (0.000), rounded, recorded as null",ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Age,age,A_structural,level,years,-0.0063,,,,***,,,high,"Years between construction and transaction; SE printed as (0.000), rounded, recorded as null",ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Residential,other,other,binary,binary,-0.156,0.002,,,***,,,high,Unit designated for residential use = 1 (vs other use),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Residential,other,other,binary,binary,-0.156,0.002,,,***,,,high,Unit designated for residential use = 1 (vs other use),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Residential,other,other,binary,binary,-0.156,0.002,,,***,,,high,Unit designated for residential use = 1 (vs other use),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Residential,other,other,binary,binary,-0.156,0.002,,,***,,,high,Unit designated for residential use = 1 (vs other use),ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Steel reinforced concrete,roof_materials,A_structural,binary,binary,0.0978,0.012,,,***,,,high,Exterior structure is steel reinforced concrete = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Steel reinforced concrete,roof_materials,A_structural,binary,binary,0.0967,0.012,,,***,,,high,Exterior structure is steel reinforced concrete = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Steel reinforced concrete,roof_materials,A_structural,binary,binary,0.0978,0.012,,,***,,,high,Exterior structure is steel reinforced concrete = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Steel reinforced concrete,roof_materials,A_structural,binary,binary,0.0967,0.012,,,***,,,high,Exterior structure is steel reinforced concrete = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Apartment,dwelling_type,A_structural,binary,binary,-0.209,0.003,,,***,,,high,Apartment-type unit = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Apartment,dwelling_type,A_structural,binary,binary,-0.209,0.003,,,***,,,high,Apartment-type unit = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Apartment,dwelling_type,A_structural,binary,binary,-0.209,0.003,,,***,,,high,Apartment-type unit = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Apartment,dwelling_type,A_structural,binary,binary,-0.209,0.003,,,***,,,high,Apartment-type unit = 1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Quarter 2,transaction_timing,G_market,dummy,binary,0.0206,0.007,,,***,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Quarter 2,transaction_timing,G_market,dummy,binary,0.02,0.007,,,***,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Quarter 2,transaction_timing,G_market,dummy,binary,0.0206,0.007,,,***,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Quarter 2,transaction_timing,G_market,dummy,binary,0.02,0.007,,,***,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Quarter 3,transaction_timing,G_market,dummy,binary,0.0148,0.006,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Quarter 3,transaction_timing,G_market,dummy,binary,0.0143,0.006,,,**,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Quarter 3,transaction_timing,G_market,dummy,binary,0.0148,0.006,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Quarter 3,transaction_timing,G_market,dummy,binary,0.0143,0.006,,,**,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c1,2,1,24,Quarter 4,transaction_timing,G_market,dummy,binary,0.0475,0.006,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c2,2,2,24,Quarter 4,transaction_timing,G_market,dummy,binary,0.0468,0.006,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c3,2,3,24,Quarter 4,transaction_timing,G_market,dummy,binary,0.0475,0.006,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T2-c4,2,4,24,Quarter 4,transaction_timing,G_market,dummy,binary,0.0468,0.006,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,OLS,386978.0,0.6,se,"Houses transacted only once; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,26,Hall,other,other,level,count,-0.0095,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,26,Hall,other,other,level,count,-0.00931,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,26,Hall,other,other,level,count,-0.0083,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,26,Hall,other,other,level,count,-0.00824,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,26,Hall,other,other,level,count,-0.00517,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,26,Hall,other,other,level,count,-0.00443,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,26,Hall,other,other,level,count,-0.00408,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,26,Hall,other,other,level,count,-0.00347,0.012,,,,,,high,Number of living and dining rooms (not bedrooms),ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,26,Wall,other,other,binary,binary,0.146,0.043,,,***,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,26,Wall,other,other,binary,binary,0.12,0.044,,,***,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,26,Wall,other,other,binary,binary,0.146,0.043,,,***,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,26,Wall,other,other,binary,binary,0.121,0.044,,,***,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,26,Wall,other,other,binary,binary,0.127,0.041,,,***,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,26,Wall,other,other,binary,binary,0.101,0.041,,,**,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,26,Wall,other,other,binary,binary,0.128,0.041,,,***,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,26,Wall,other,other,binary,binary,0.102,0.041,,,**,,,high,Partition walls present = 1,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,26,Age,age,A_structural,level,years,-0.00353,0.007,,,,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,26,Age,age,A_structural,level,years,0.000662,0.006,,,,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,26,Age,age,A_structural,level,years,-0.00273,0.006,,,,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,26,Age,age,A_structural,level,years,0.00119,0.006,,,,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,26,Age,age,A_structural,level,years,-0.00685,0.004,,,*,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,26,Age,age,A_structural,level,years,-0.00368,0.004,,,,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,26,Age,age,A_structural,level,years,-0.00624,0.003,,,*,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,26,Age,age,A_structural,level,years,-0.00332,0.003,,,,,,high,Years between construction and transaction; house fixed-effects model,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,26,Residential,other,other,binary,binary,0.227,0.144,,,,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,26,Residential,other,other,binary,binary,0.277,0.114,,,**,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,26,Residential,other,other,binary,binary,0.218,0.125,,,*,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,26,Residential,other,other,binary,binary,0.266,0.1,,,***,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,26,Residential,other,other,binary,binary,0.229,0.105,,,**,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,26,Residential,other,other,binary,binary,0.264,0.099,,,***,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,26,Residential,other,other,binary,binary,0.243,0.104,,,**,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,26,Residential,other,other,binary,binary,0.265,0.096,,,***,,,high,Unit designated for residential use = 1,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,27,Apartment,dwelling_type,A_structural,binary,binary,0.0277,0.058,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,27,Apartment,dwelling_type,A_structural,binary,binary,0.0361,0.058,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,27,Apartment,dwelling_type,A_structural,binary,binary,0.0292,0.059,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,27,Apartment,dwelling_type,A_structural,binary,binary,0.0374,0.059,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,27,Apartment,dwelling_type,A_structural,binary,binary,0.0459,0.056,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,27,Apartment,dwelling_type,A_structural,binary,binary,0.0488,0.058,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,27,Apartment,dwelling_type,A_structural,binary,binary,0.0479,0.056,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,27,Apartment,dwelling_type,A_structural,binary,binary,0.0513,0.058,,,,,,high,Apartment-type unit = 1,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.0156,0.031,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.0126,0.031,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.0156,0.031,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.0124,0.031,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.0106,0.03,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.00312,0.03,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.0104,0.03,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,27,Quarter 2,transaction_timing,G_market,dummy,binary,-0.00231,0.03,,,,,,high,Transaction in Q2 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.101,0.025,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.0976,0.025,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.1,0.025,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.0967,0.025,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.104,0.024,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.102,0.024,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.103,0.025,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,27,Quarter 3,transaction_timing,G_market,dummy,binary,0.102,0.024,,,***,,,high,Transaction in Q3 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c1,3,1,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.131,0.027,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.402,se,"Houses transacted more than once, short-term transactions only; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c2,3,2,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.131,0.027,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.444,se,"Houses transacted more than once, short-term transactions only; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c3,3,3,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.13,0.028,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.394,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c4,3,4,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.131,0.027,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,26794.0,0.437,se,"Houses transacted more than once, short-term transactions only; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.133,0.026,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.139,0.026,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.133,0.027,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,27,Quarter 4,transaction_timing,G_market,dummy,binary,0.14,0.026,,,***,,,high,Transaction in Q4 vs Q1,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c5,3,5,26,Days 730,other,other,binary,binary,0.232,0.033,,,***,,,high,Holding period under 730 days (short-term resale) = 1; transaction characteristic,ln(transaction price),log,FE_panel,29285.0,0.413,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c6,3,6,26,Days 730,other,other,binary,binary,0.206,0.034,,,***,,,high,Holding period under 730 days (short-term resale) = 1; transaction characteristic,ln(transaction price),log,FE_panel,29285.0,0.453,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c7,3,7,26,Days 730,other,other,binary,binary,0.232,0.033,,,***,,,high,Holding period under 730 days (short-term resale) = 1; transaction characteristic,ln(transaction price),log,FE_panel,29285.0,0.406,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T3-c8,3,8,26,Days 730,other,other,binary,binary,0.206,0.034,,,***,,,high,Holding period under 730 days (short-term resale) = 1; transaction characteristic,ln(transaction price),log,FE_panel,29285.0,0.446,se,"Houses transacted more than once, whole (short- and long-term) transactions; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c1,7,1,35,N_tran_1 month,liquidity,G_market,level,count,5.09e-05,,,,,,,high,"Total number of short-term housing transactions in the market over a one-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28168.0,0.403,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c2,7,2,35,N_tran_1 month,liquidity,G_market,level,count,5.02e-05,,,,,,,high,"Total number of short-term housing transactions in the market over a one-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28168.0,0.445,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c3,7,3,35,N_tran_1 month,liquidity,G_market,level,count,5.33e-05,,,,*,,,high,"Total number of short-term housing transactions in the market over a one-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28168.0,0.395,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c4,7,4,35,N_tran_1 month,liquidity,G_market,level,count,5.41e-05,,,,*,,,high,"Total number of short-term housing transactions in the market over a one-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28168.0,0.438,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c5,7,5,35,N_tran_2 months,liquidity,G_market,level,count,5.35e-05,,,,**,,,high,"Total number of short-term housing transactions in the market over a two-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28167.0,0.404,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c6,7,6,35,N_tran_2 months,liquidity,G_market,level,count,4.97e-05,,,,**,,,high,"Total number of short-term housing transactions in the market over a two-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28167.0,0.447,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c7,7,7,35,N_tran_2 months,liquidity,G_market,level,count,5.53e-05,,,,**,,,high,"Total number of short-term housing transactions in the market over a two-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28167.0,0.397,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c8,7,8,35,N_tran_2 months,liquidity,G_market,level,count,5.21e-05,,,,**,,,high,"Total number of short-term housing transactions in the market over a two-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28167.0,0.439,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy x effective tax rate, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c9,7,9,35,N_tran_3 months,liquidity,G_market,level,count,4.91e-05,,,,**,,,high,"Total number of short-term housing transactions in the market over a three-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28166.0,0.406,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c10,7,10,35,N_tran_3 months,liquidity,G_market,level,count,4.84e-05,,,,***,,,high,"Total number of short-term housing transactions in the market over a three-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28166.0,0.448,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy, county-by-year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c11,7,11,35,N_tran_3 months,liquidity,G_market,level,count,5.12e-05,,,,***,,,high,"Total number of short-term housing transactions in the market over a three-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28166.0,0.399,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy x effective tax rate, county + year FE"
a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3,a842ed7c689fc0985af5ca73c3f97f4279427db3:T7-c12,7,12,35,N_tran_3 months,liquidity,G_market,level,count,5.05e-05,,,,***,,,high,"Total number of short-term housing transactions in the market over a three-month window (sales volume); SE printed as (0.000), recorded as null",ln(transaction price),log,FE_panel,28166.0,0.441,se,"Short-term transactions within 2 years (units transacted once and more than once), house FE; tax dummy x effective tax rate, county-by-year FE"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-B1-wb,3,Taranto B1 / model with bargaining,11,Location,other,other,level,ordinal,9603.85,,,0.001,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,62.0,0.9601,p,"Taranto OMI zone B1, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-B1-wb,3,Taranto B1 / model with bargaining,11,State of building,condition,A_structural,level,ordinal,8340.49,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,62.0,0.9601,p,"Taranto OMI zone B1, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-B1-nb,3,Taranto B1 / model without bargaining,11,Location,other,other,level,ordinal,12766.47,,,0.002,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,62.0,0.9132,p,"Taranto OMI zone B1, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-B1-nb,3,Taranto B1 / model without bargaining,11,State of building,condition,A_structural,level,ordinal,10216.55,,,0.002,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,62.0,0.9132,p,"Taranto OMI zone B1, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-C1-wb,3,Taranto C1 / model with bargaining,11,Location,other,other,level,ordinal,11463.41,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,89.0,0.9163,p,"Taranto OMI zone C1, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-C1-wb,3,Taranto C1 / model with bargaining,11,State of building,condition,A_structural,level,ordinal,6959.62,,,0.248,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed. Flagged (*) as not significant at 10%.,Selling price (EUR); marginal prices reported,other,OLS,89.0,0.9163,p,"Taranto OMI zone C1, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-C1-nb,3,Taranto C1 / model without bargaining,11,Location,other,other,level,ordinal,17416.52,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,89.0,0.8555,p,"Taranto OMI zone C1, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-C1-nb,3,Taranto C1 / model without bargaining,11,State of building,condition,A_structural,level,ordinal,12507.79,,,0.108,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed. Flagged (*) as not significant at 10%.,Selling price (EUR); marginal prices reported,other,OLS,89.0,0.8555,p,"Taranto OMI zone C1, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-D1-wb,3,Taranto D1 / model with bargaining,11,Location,other,other,level,ordinal,20538.28,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,63.0,0.9363,p,"Taranto OMI zone D1, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-D1-wb,3,Taranto D1 / model with bargaining,11,State of building,condition,A_structural,level,ordinal,15764.46,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,63.0,0.9363,p,"Taranto OMI zone D1, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-D1-nb,3,Taranto D1 / model without bargaining,11,Location,other,other,level,ordinal,29548.34,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,63.0,0.8499,p,"Taranto OMI zone D1, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-D1-nb,3,Taranto D1 / model without bargaining,11,State of building,condition,A_structural,level,ordinal,17403.33,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,63.0,0.8499,p,"Taranto OMI zone D1, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-E2-wb,3,Taranto E2 / model with bargaining,11,Location,other,other,level,ordinal,5311.7,,,0.113,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed. Flagged (*) as not significant at 10%.,Selling price (EUR); marginal prices reported,other,OLS,65.0,0.8555,p,"Taranto OMI zone E2, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-E2-wb,3,Taranto E2 / model with bargaining,11,State of building,condition,A_structural,level,ordinal,14109.49,,,0.008,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,65.0,0.8555,p,"Taranto OMI zone E2, 2009-2010, hedonic model with bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-E2-nb,3,Taranto E2 / model without bargaining,11,Location,other,other,level,ordinal,7352.9,,,0.06,,,,low,Marginal price in EUR per unit of the ordinal 'Location' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,65.0,0.7994,p,"Taranto OMI zone E2, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb,a855c4aba93669899f6285712fd4b23cfb3500bb:T3-E2-nb,3,Taranto E2 / model without bargaining,11,State of building,condition,A_structural,level,ordinal,28117.67,,,0.0,,,,low,Marginal price in EUR per unit of the ordinal 'State of building' score (scale not stated); functional form (linear vs log-linear) not stated; p-value printed.,Selling price (EUR); marginal prices reported,other,OLS,65.0,0.7994,p,"Taranto OMI zone E2, 2009-2010, hedonic model without bargaining seller/buyer bargaining dummies; adj. R2 from Table 2"
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,Z.age,age,A_structural,other,years,-0.1495,0.0254,,,***,,,high,"Mean (global) effect of a spatially varying coefficient; Z.age = age / SD(age), SD of age = 27 years (Table 2), so beta per year = beta/27; quadratic in Z.age2",log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,Z.age2,age,A_structural,squared,years,0.0114,0.0062,,,.,,,high,Square of standardized age (Z.age^2); mean effect of SVC; '.' = p<0.1,log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,log (volume),living_area,A_structural,log,m3,0.5132,0.0222,,,***,,,high,"Building VOLUME in m3 (SIA Zurich 2003), not floor area; elasticity",log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,log (plotsize),lot_size,A_structural,log,m2,0.172,0.0129,,,***,,,high,"Plot size m2, elasticity",log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,renov,renovation,A_structural,level,index,0.0274,0.0059,,,***,,,high,"Need-for-renovation score 0-4 (difference between actual and theoretical building condition, higher = better)",log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,standard,condition,A_structural,level,index,0.0911,0.0082,,,***,,,high,Building standard/quality rating 2-5 (higher = better),log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,micro,other,other,level,index,0.0385,0.0075,,,***,,,high,Micro-location quality rating 2-5 (higher = better),log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,SFHtype 2,dwelling_type,A_structural,dummy,binary,-0.0062,0.012,,,n.s.,,,high,Semi-detached vs detached (reference),log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,SFHtype3,dwelling_type,A_structural,dummy,binary,-0.0274,0.0165,,,.,,,high,Row house vs detached (reference); '.' = p<0.1,log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7,a90efa2e2b4a4c7fde54cbffdb07fb2a1d2e8ed7:T3-SVC,3,Mean mu_j,8,energy2,energy_efficiency,A_structural,dummy,binary,0.0119,0.0281,,,n.s.,,,high,Enhanced energy efficiency standard vs insulated shell (reference); only 40 obs,log transaction price (CHF),log,other,1578.0,,se,Full sample; error variance tau2 = 0.0242
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Surface area (sqm),living_area,A_structural,level,m2,-36.59,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Surface area (sqm),living_area,A_structural,level,m2,10.36,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Year of construction,age,A_structural,level,years,29.02,,,,***,,,high,Year built (higher = newer); sign opposite to age Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Year of construction,age,A_structural,level,years,36.24,,,,***,,,high,Year built (higher = newer); sign opposite to age Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Number of rooms,bedrooms,A_structural,level,count,-270.41,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Number of rooms,bedrooms,A_structural,level,count,-858.58,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Floor,floor_level,A_structural,level,count,21.19,,,,**,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Floor,floor_level,A_structural,level,count,-99.0,,,,,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Floors in building,storeys,A_structural,level,count,-49.85,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Floors in building,storeys,A_structural,level,count,-78.01,,,,,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Market type (secondary),other,other,binary,binary,1120.63,,,,***,,,high,Secondary (resale) vs primary (developer) market Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Market type (secondary),other,other,binary,binary,1533.71,,,,***,,,high,Secondary (resale) vs primary (developer) market Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Air conditioning,air_conditioning,A_structural,binary,binary,709.32,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Air conditioning,air_conditioning,A_structural,binary,binary,949.89,,,,**,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Garage,garage,A_structural,binary,binary,477.42,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Garage,garage,A_structural,binary,binary,-181.82,,,,,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Elevator,accessibility,B_interior,binary,binary,310.65,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Elevator,accessibility,B_interior,binary,binary,638.83,,,,*,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Balcony,terrace_balcony,C_exterior,binary,binary,-221.8,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Balcony,terrace_balcony,C_exterior,binary,binary,-363.79,,,,,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Garden,garden,C_exterior,binary,binary,45.04,,,,,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Garden,garden,C_exterior,binary,binary,755.41,,,,,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Terrace,terrace_balcony,C_exterior,binary,binary,99.67,,,,,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Terrace,terrace_balcony,C_exterior,binary,binary,777.06,,,,**,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Distance to city centre,cbd_distance,D_location,level,km,-366.55,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Distance to city centre,cbd_distance,D_location,level,km,-1641.29,,,,***,,,high,Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Transit time,transit_distance,D_location,level,minutes,-14.63,,,,**,,,high,"Public-transport travel time to centre, minutes Stars only; no SE printed.",Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Transit time,transit_distance,D_location,level,minutes,99.83,,,,**,,,high,"Public-transport travel time to centre, minutes Stars only; no SE printed.",Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Mean PM10,air_pollution,E_environment,level,ug/m3,-60.07,,,,***,,,high,Yearly mean PM10 concentration Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Mean PM10,air_pollution,E_environment,level,ug/m3,-89.05,,,,,,,high,Yearly mean PM10 concentration Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Mean PM2.5,air_pollution,E_environment,level,ug/m3,92.58,,,,**,,,high,Yearly mean PM2.5 concentration Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Mean PM2.5,air_pollution,E_environment,level,ug/m3,-421.3,,,,,,,high,Yearly mean PM2.5 concentration Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c1,3,1 (Standard flats),14,Mean PM1,air_pollution,E_environment,level,ug/m3,-12.31,,,,,,,high,Yearly mean PM1 concentration Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,13539.0,,none,standard flats; lambda=0.485
aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a,aa81dc840f8ab6c12b272e830117706e34b5a89a:T3-c2,3,2 (Exclusive flats),14,Mean PM1,air_pollution,E_environment,level,ug/m3,811.13,,,,**,,,high,Yearly mean PM1 concentration Stars only; no SE printed.,Price per square metre of a flat (PLN/m2),per_m2,spatial_error,1399.0,,none,exclusive (luxury) flats; lambda=0.382
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Floor Area,living_area,A_structural,level,m2,0.007,,34.316,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Floor Area,living_area,A_structural,level,m2,0.007,,33.664,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Terr,dwelling_type,A_structural,dummy,binary,-0.408,,-16.6,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Terr,dwelling_type,A_structural,dummy,binary,-0.404,,-16.274,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Detach,dwelling_type,A_structural,dummy,binary,0.102,,3.97,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Detach,dwelling_type,A_structural,dummy,binary,0.103,,3.973,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Apt,dwelling_type,A_structural,dummy,binary,-0.092,,-2.453,,***,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Apt,dwelling_type,A_structural,dummy,binary,-0.087,,-2.176,,***,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Pre1919,age,A_structural,dummy,construction period dummy,0.06,,1.732,,*,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Pre1919,age,A_structural,dummy,construction period dummy,0.064,,1.758,,*,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Early Modern,age,A_structural,dummy,construction period dummy,-0.029,,-1.279,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Early Modern,age,A_structural,dummy,construction period dummy,-0.025,,-0.978,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Inter War,age,A_structural,dummy,construction period dummy,0.037,,1.442,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Inter War,age,A_structural,dummy,construction period dummy,0.041,,1.439,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,No Garage,garage,A_structural,binary,binary,-0.019,,-0.971,,,,,high,Reverse-coded: no garage =1,ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,No Garage,garage,A_structural,binary,binary,-0.028,,-1.134,,,,,high,Reverse-coded: no garage =1,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,Gas Heat,heating,A_structural,binary,binary,0.132,,6.358,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,Gas Heat,heating,A_structural,binary,binary,0.138,,6.048,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c1,6,Model 1,30,EPC score,energy_efficiency,A_structural,level,index (EPC SAP score points),0.001,,2.049,,**,,,high,Continuous EPC energy-efficiency score,ln(transaction price),log,OLS,1478.0,0.674,t,Parsimonious OLS with continuous EPC score; spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,EPC Band G,energy_efficiency,A_structural,dummy,binary,-0.119,,-0.945,,,,,high,EPC band G dummy; reference band D,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,EPC Band F,energy_efficiency,A_structural,dummy,binary,-0.035,,-0.956,,,,,high,EPC band F dummy; reference band D,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,EPC Band E,energy_efficiency,A_structural,dummy,binary,-0.003,,-0.114,,,,,high,EPC band E dummy; reference band D,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,EPC Band C,energy_efficiency,A_structural,dummy,binary,0.045,,1.145,,,,,high,EPC band C dummy; reference band D,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T6-c2,6,Model 2,30,EPC Band B,energy_efficiency,A_structural,dummy,binary,0.088,,3.008,,***,,,high,EPC band B dummy; reference band D,ln(transaction price),log,OLS,1478.0,0.674,t,OLS with EPC band dummies (band D reference); spatial and temporal dummies included (not printed)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c1,7,Model 3,31,Floor Area,living_area,A_structural,level,m2,0.007,,34.486,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property type x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c1,7,Model 3,31,Terr,dwelling_type,A_structural,dummy,binary,-0.405,,-16.586,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property type x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c1,7,Model 3,31,Detach,dwelling_type,A_structural,dummy,binary,0.103,,3.99,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property type x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c1,7,Model 3,31,Apt,dwelling_type,A_structural,dummy,binary,-0.081,,-2.173,,**,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property type x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c1,7,Model 3,31,Gas Heat,heating,A_structural,binary,binary,0.131,,6.277,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property type x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c1,7,Model 3,31,No Garage,garage,A_structural,binary,binary,-0.018,,-0.95,,,,,high,Reverse-coded: no garage =1,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property type x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c2,7,Model 4,31,Floor Area,living_area,A_structural,level,m2,0.007,,34.61,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property age x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c2,7,Model 4,31,Pre1919,age,A_structural,dummy,construction period dummy,0.058,,1.661,,,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property age x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c2,7,Model 4,31,Early Modern,age,A_structural,dummy,construction period dummy,-0.029,,-1.285,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property age x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c2,7,Model 4,31,Inter War,age,A_structural,dummy,construction period dummy,0.039,,1.503,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property age x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c2,7,Model 4,31,Gas Heat,heating,A_structural,binary,binary,0.131,,6.276,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property age x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T7-c2,7,Model 4,31,No Garage,garage,A_structural,binary,binary,-0.018,,-0.947,,,,,high,Reverse-coded: no garage =1,ln(transaction price),log,OLS,1478.0,0.673,t,OLS with property age x EPC interactions (interactions not extracted); main effects only
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Floor Area,living_area,A_structural,level,m2,0.007,,33.83,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Terr,dwelling_type,A_structural,dummy,binary,-0.407,,-16.47,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Detach,dwelling_type,A_structural,dummy,binary,0.103,,3.987,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Apt,dwelling_type,A_structural,dummy,binary,-0.091,,-2.337,,**,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Pre1919,age,A_structural,dummy,construction period dummy,0.063,,1.731,,*,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Early Modern,age,A_structural,dummy,construction period dummy,-0.027,,-1.027,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Inter War,age,A_structural,dummy,construction period dummy,0.04,,1.385,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,Gas Heat,heating,A_structural,binary,binary,0.129,,6.282,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c1,8,Model 5,33,EPC,energy_efficiency,A_structural,level,index (EPC SAP score points),0.001,,2.037,,**,,,high,Continuous EPC energy-efficiency score,ln(transaction price),log,OLS,1478.0,0.674,t,Partial regression model: predictor set A + EPC
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c2,8,Model 6,33,Floor Area,living_area,A_structural,level,m2,0.007,,35.798,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.662,t,Partial regression model: floor area + type x EPC interactions (interactions not extracted)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c3,8,Model 7,33,Floor Area,living_area,A_structural,level,m2,0.007,,35.511,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.671,t,Partial regression model: floor area + type x EPC interactions + gas heat (interactions not extracted)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c3,8,Model 7,33,Gas Heat,heating,A_structural,binary,binary,0.132,,6.428,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.671,t,Partial regression model: floor area + type x EPC interactions + gas heat (interactions not extracted)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c4,8,Model 8,33,Floor Area,living_area,A_structural,level,m2,0.008,,45.47,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.586,t,Partial regression model: floor area + age x EPC interactions + gas heat (interactions not extracted)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c4,8,Model 8,33,Gas Heat,heating,A_structural,binary,binary,0.079,,3.698,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.586,t,Partial regression model: floor area + age x EPC interactions + gas heat (interactions not extracted)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Floor Area,living_area,A_structural,level,m2,0.007,,34.19,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Terr,dwelling_type,A_structural,dummy,binary,-0.408,,-16.597,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Detach,dwelling_type,A_structural,dummy,binary,0.101,,3.916,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Apt,dwelling_type,A_structural,dummy,binary,-0.094,,-2.513,,***,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Pre1919,age,A_structural,dummy,construction period dummy,0.134,,6.409,,***,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Early Modern,age,A_structural,dummy,construction period dummy,0.059,,1.699,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Inter War,age,A_structural,dummy,construction period dummy,-0.029,,-1.288,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,Gas Heat,heating,A_structural,binary,binary,0.036,,1.984,,**,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c5,8,Model 9,33,EPC,energy_efficiency,A_structural,level,index (EPC SAP score points),0.001,,2.155,,*,,,high,Continuous EPC energy-efficiency score,ln(transaction price),log,OLS,1478.0,0.675,t,"Partial regression model: set A + EPC + coordinate polynomials (X*Y, Y*Y, X*X not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c6,8,Model 10,33,Floor Area,living_area,A_structural,level,m2,0.007,,34.573,,***,,,high,,ln(transaction price),log,OLS,1478.0,0.673,t,Partial regression model: floor area + type/age x EPC interactions + gas heat + coordinate polynomials (interactions not extracted)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T8-c6,8,Model 10,33,Gas Heat,heating,A_structural,binary,binary,0.128,,6.249,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,1478.0,0.673,t,Partial regression model: floor area + type/age x EPC interactions + gas heat + coordinate polynomials (interactions not extracted)
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),35,Floor Area,living_area,A_structural,level,m2,0.006611,,33.88551,,***,,,high,,ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),35,Floor Area,living_area,A_structural,level,m2,0.006795,,28.6727,,***,,,high,,ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),35,Floor Area,living_area,A_structural,level,m2,0.006796,,28.72439,,***,,,high,,ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),35,Terr,dwelling_type,A_structural,dummy,binary,-0.398965,,-15.9981,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),35,Terr,dwelling_type,A_structural,dummy,binary,-0.36092,,-11.5667,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),35,Terr,dwelling_type,A_structural,dummy,binary,-0.363045,,-11.64686,,***,,,high,Terraced =1; reference semi-detached,ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),35,Detach,dwelling_type,A_structural,dummy,binary,0.099087,,3.837041,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),35,Detach,dwelling_type,A_structural,dummy,binary,0.100533,,3.242625,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),35,Detach,dwelling_type,A_structural,dummy,binary,0.102709,,3.316137,,***,,,high,Detached =1; reference semi-detached,ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),35,Apt,dwelling_type,A_structural,dummy,binary,-0.079251,,-1.934257,,*,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),35,Apt,dwelling_type,A_structural,dummy,binary,-0.056519,,-1.173586,,,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),35,Apt,dwelling_type,A_structural,dummy,binary,-0.057789,,-1.201785,,,,,high,Apartment =1; reference semi-detached,ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),35,Pre1919,age,A_structural,dummy,construction period dummy,0.054449,,1.484746,,,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),35,Pre1919,age,A_structural,dummy,construction period dummy,0.030529,,0.710688,,,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),35,Pre1919,age,A_structural,dummy,construction period dummy,0.035264,,0.821004,,,,,high,"Built pre-1919 =1 (construction-period dummy, not age in years)",ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),35,Early Modern,age,A_structural,dummy,construction period dummy,-0.020627,,-0.790323,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),35,Early Modern,age,A_structural,dummy,construction period dummy,0.007467,,0.226569,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),35,Early Modern,age,A_structural,dummy,construction period dummy,0.007792,,0.236813,,,,,high,"Early-modern construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),35,Inter War,age,A_structural,dummy,construction period dummy,0.04319,,1.496247,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),35,Inter War,age,A_structural,dummy,construction period dummy,0.030309,,0.850356,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),35,Inter War,age,A_structural,dummy,construction period dummy,0.024715,,0.6924,,,,,high,"Inter-war construction period =1 (construction-period dummy, not age in years)",ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),36,Gas Heat,heating,A_structural,binary,binary,0.128549,,6.05882,,***,,,high,Gas central heating =1,ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),36,Gas Heat,heating,A_structural,binary,binary,0.108793,,4.202728,,,,,high,Gas central heating =1 printed without stars despite t=4.20,ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),36,Gas Heat,heating,A_structural,binary,binary,0.10717,,4.14469,,***,,,high,Gas central heating =1,ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),36,No Garage,garage,A_structural,binary,binary,-0.017509,,-0.907136,,,,,high,Reverse-coded: no garage =1,ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),36,No Garage,garage,A_structural,binary,binary,0.000841,,0.035559,,,,,high,Reverse-coded: no garage =1,ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),36,No Garage,garage,A_structural,binary,binary,0.001888,,0.079952,,,,,high,Reverse-coded: no garage =1,ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c1,11,Model 13 (Base No lag),36,EPC,energy_efficiency,A_structural,level,index (EPC SAP score points),0.001248,,2.05993,,**,,,high,Continuous EPC energy-efficiency score,ln(transaction price),log,OLS,961.0,0.614722,t,Base model on 961-observation subsample used for spatial lag models
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c2,11,Model 14 (Base + Lag),36,EPC,energy_efficiency,A_structural,level,index (EPC SAP score points),0.001204,,1.671947,,*,,,high,Continuous EPC energy-efficiency score,ln(transaction price),log,spatial_lag,961.0,0.673818,t,Spatial lag of price (inverse exponential distance weights) added; W*P coefficient 0.027939 (t 1.195744) not extracted
aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0,aa82db73a0ef7b24a4266aa846327f66030956a0:T11-c3,11,Model 15 (Base+Lag + EPC),36,EPC,energy_efficiency,A_structural,level,index (EPC SAP score points),0.036022,,2.081373,,**,,,high,Continuous EPC energy-efficiency score Model 15 also includes W*P*EPC interaction; EPC main effect conditional on it,ln(transaction price),log,spatial_lag,961.0,0.675209,t,"Spatial lag of price and spatially lagged price x EPC term added (W*P 0.184266 t 2.273**, W*P*EPC -0.002952 t -2.0135** not extracted)"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Type: Apartment,dwelling_type,A_structural,dummy,binary,0.91,,,,,0.9,0.92,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Type: Detached House,dwelling_type,A_structural,dummy,binary,1.16,,,,,1.15,1.18,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Type: Duplex,dwelling_type,A_structural,dummy,binary,0.88,,,,,0.86,0.9,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Type: End of Terrace House,dwelling_type,A_structural,dummy,binary,1.01,,,,,1.0,1.03,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Type: Semi-Detached House,dwelling_type,A_structural,dummy,binary,1.11,,,,,1.1,1.13,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Type: Terraced House,dwelling_type,A_structural,dummy,binary,1.0,,,,,0.99,1.01,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Type: Townhouse,dwelling_type,A_structural,dummy,binary,0.96,,,,,0.96,0.96,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: A,energy_efficiency,A_structural,dummy,binary,1.08,,,,,1.05,1.11,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: B,energy_efficiency,A_structural,dummy,binary,1.04,,,,,1.03,1.06,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: C,energy_efficiency,A_structural,dummy,binary,1.0,,,,,0.99,1.01,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: D,energy_efficiency,A_structural,dummy,binary,0.99,,,,,0.98,1.0,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: E,energy_efficiency,A_structural,dummy,binary,0.99,,,,,0.97,1.0,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: F,energy_efficiency,A_structural,dummy,binary,0.98,,,,,0.97,0.99,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: G,energy_efficiency,A_structural,dummy,binary,0.94,,,,,0.93,0.96,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,BER: Exempt,energy_efficiency,A_structural,dummy,binary,0.98,,,,,0.98,0.98,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); BER exempt (properties < 50 m2)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Attic Conversion,storage,B_interior,binary,binary,1.0,,,,,0.98,1.02,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); text-extracted binary attribute",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Car Space,parking,A_structural,binary,binary,1.0,,,,,0.99,1.01,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Car Space.CC,parking,A_structural,other,binary,1.04,,,,,1.01,1.06,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); interaction: car space x city-centre location",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Development Potential,other,other,binary,binary,1.04,,,,,1.03,1.06,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); listing text mentions development potential (text-extracted binary attribute)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Fireplace,fireplace,B_interior,binary,binary,1.03,,,,,1.02,1.04,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Garage,garage,A_structural,binary,binary,1.07,,,,,1.06,1.08,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Hot Press,storage,B_interior,binary,binary,1.01,,,,,1.0,1.02,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); hot press = airing/hot-water cupboard (text-extracted attribute)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Open Plan,other,other,binary,binary,1.01,,,,,1.0,1.02,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); open-plan layout (text-extracted)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Refurbished,renovation,A_structural,binary,binary,1.04,,,,,1.03,1.05,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,South Facing,sunlight,E_environment,binary,binary,1.02,,,,,1.01,1.03,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Ground Floor Apartment,floor_level,A_structural,dummy,binary,0.97,,,,,0.95,0.99,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); apartment floor-position dummy",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,First Floor Apartment,floor_level,A_structural,dummy,binary,0.98,,,,,0.96,1.01,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Second Floor Apartment,floor_level,A_structural,dummy,binary,0.98,,,,,0.94,1.02,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean)",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb,afc63bb9b7bf51c6364ea26f57de3de63b12d8bb:T13-GAM3,13,Estimate,35,Penthouse Apartment,floor_level,A_structural,dummy,binary,1.14,,,,,1.08,1.19,high,"relative scaling exp(coefficient) on log price per m2, 95% CI printed; categorical levels constrained to sum to zero (relative to grand mean); apartment floor-position dummy",log price per m2 (EUR/m2) of sold property,per_m2,other,5208.0,0.87,none,"GAM 3 (geo-additive model, mgcv): linear terms + cubic regression splines for beds, baths, size (IFSC distance excluded in GAM 3) + Gaussian-process spatial surface (100 knots), with given postcode; Dublin sales Jan-Nov 2018; linear coefficients reported as relative scalings exp(beta) with 95% CI (sum-to-zero constraint: relative to grand mean of the categorical variable, not to a base category); R2 from 5-fold CV"
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Square Feet,living_area,A_structural,level,sqft,19.903,,4.866,,,,,high,,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Square Feet,living_area,A_structural,level,sqft,32.911,,4.582,,,,,high,,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,(Square Feet)2,living_area,A_structural,squared,sqft,0.004,,5.393,,,,,high,Square of living area,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,(Square Feet)2,living_area,A_structural,squared,sqft,0.007,,6.423,,,,,high,Square of living area,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Age,age,A_structural,level,years,-455.16,,-41.319,,,,,high,,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Age,age,A_structural,level,years,-614.98,,-16.648,,,,,high,,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,(Age)2,age,A_structural,squared,years,0.415,,7.327,,,,,high,Square of age,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,(Age)2,age,A_structural,squared,years,2.002,,4.641,,,,,high,Square of age,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Rooms/Square Feet,other,other,other,rooms per sqft,1093897.0,,2.406,,,,,high,Number of rooms divided by square footage,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Rooms/Square Feet,other,other,other,rooms per sqft,5350646.0,,5.39,,,,,high,Number of rooms divided by square footage,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Bedrooms/Rooms,bedrooms,A_structural,other,share,-3887.943,,-2.947,,,,,high,"Share of rooms that are bedrooms (ratio), not bedroom count",assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Bedrooms/Rooms,bedrooms,A_structural,other,share,-1082.821,,-0.388,,,,,high,"Share of rooms that are bedrooms (ratio), not bedroom count",assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Bathrooms,bathrooms,A_structural,level,count,896.266,,1.683,,,,,high,,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Bathrooms,bathrooms,A_structural,level,count,10706.93,,10.576,,,,,high,,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Year Remodeled,renovation,A_structural,other,years (calendar year),1.056,,11.9,,,,,high,"Most recent year the house was remodeled (calendar year, level), not a renovation dummy",assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Year Remodeled,renovation,A_structural,other,years (calendar year),0.343,,2.256,,,,,high,"Most recent year the house was remodeled (calendar year, level), not a renovation dummy",assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Garage Square Feet,garage,A_structural,level,sqft,12.673,,27.806,,,,,high,Garage area in sq ft,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Garage Square Feet,garage,A_structural,level,sqft,16.726,,27.861,,,,,high,Garage area in sq ft,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Carport Dummy Variable (Yes=1),garage,A_structural,binary,binary,939.558,,1.047,,,,,high,Carport present =1,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Carport Dummy Variable (Yes=1),garage,A_structural,binary,binary,9104.345,,7.346,,,,,high,Carport present =1,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Porch Square Feet,terrace_balcony,C_exterior,level,sqft,8.835,,10.099,,,,,high,Porch area in sq ft,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Porch Square Feet,terrace_balcony,C_exterior,level,sqft,11.136,,7.49,,,,,high,Porch area in sq ft,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Number of Stories,storeys,A_structural,level,count,-7284.721,,-15.187,,,,,high,,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Number of Stories,storeys,A_structural,level,count,-3603.818,,-5.259,,,,,high,,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Foundation is a Slab,roof_materials,A_structural,binary,binary,-413.565,,-1.772,,,,,high,Slab foundation =1 (other foundation = 0); construction-type dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Foundation is a Slab,roof_materials,A_structural,binary,binary,-5099.968,,-15.189,,,,,high,Slab foundation =1 (other foundation = 0); construction-type dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Roof Type: Gable,roof_materials,A_structural,binary,binary,4664.23,,24.293,,,,,high,Gable roof =1,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Roof Type: Gable,roof_materials,A_structural,binary,binary,-2862.608,,-15.282,,,,,high,Gable roof =1,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Roof Type: Flat,roof_materials,A_structural,binary,binary,-1520.997,,-12.607,,,,,high,Flat roof =1,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Roof Type: Flat,roof_materials,A_structural,binary,binary,-16895.01,,-8.113,,,,,high,Flat roof =1,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Roof Cover: Composition Shingle,roof_materials,A_structural,binary,binary,-2118.425,,-1.369,,,,,high,,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Roof Cover: Composition Shingle,roof_materials,A_structural,binary,binary,-7863.394,,-7.362,,,,,high,,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Roof Cover: Wood Shake,roof_materials,A_structural,binary,binary,1055.74,,1.524,,,,,high,,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Roof Cover: Wood Shake,roof_materials,A_structural,binary,binary,-2663.464,,-1.931,,,,,high,,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Exterior: Frame Masonry Veneer,roof_materials,A_structural,binary,binary,199.077,,0.224,,,,,high,,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Exterior: Frame Masonry Veneer,roof_materials,A_structural,binary,binary,-6341.225,,-9.878,,,,,high,,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Crown Heights,other,other,binary,binary,8855.167,,4.957,,,,,high,Historic district dummy (located in Crown Heights Historic District =1),assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Crown Heights,other,other,binary,binary,61823.22,,47.073,,,,,high,Historic district dummy (located in Crown Heights Historic District =1),assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Edgemere Park,other,other,binary,binary,6854.99,,3.201,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Edgemere Park,other,other,binary,binary,41013.14,,27.463,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Jefferson Park,other,other,binary,binary,6562.413,,8.427,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Jefferson Park,other,other,binary,binary,-2802.856,,-2.708,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Shepherd,other,other,binary,binary,-837.9,,-1.205,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Shepherd,other,other,binary,binary,8740.323,,12.206,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Paseo,other,other,binary,binary,-2434.624,,-1.444,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Paseo,other,other,binary,binary,1289.545,,0.712,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Heritage Hills,other,other,binary,binary,-11390.75,,-1.917,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Heritage Hills,other,other,binary,binary,33808.32,,3.031,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Putnam Heights,other,other,binary,binary,-6365.538,,-1.747,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Putnam Heights,other,other,binary,binary,-17303.18,,-4.523,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Mesta Park,other,other,binary,binary,-1409.864,,-1.365,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Mesta Park,other,other,binary,binary,2171.24,,1.362,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Gatewood East,other,other,binary,binary,1752.864,,1.29,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Gatewood East,other,other,binary,binary,6523.245,,5.043,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Gatewood West,other,other,binary,binary,-2490.629,,-3.251,,,,,high,Historic district dummy,assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Gatewood West,other,other,binary,binary,9928.553,,9.769,,,,,high,Historic district dummy,assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c1,1,1,5,Capitol-Lincoln,other,other,binary,binary,-2446.37,,-2.37,,,,,high,Historic district dummy (Capitol-Lincoln Terrace),assessed property value ($),level,OLS,179526.0,0.877,t,Year 2000 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69,b0f7dc6f984405958850264589ee0ef2b7e42b69:T1-c2,1,2,5,Capitol-Lincoln,other,other,binary,binary,15207.58,,10.762,,,,,high,Historic district dummy (Capitol-Lincoln Terrace),assessed property value ($),level,OLS,188907.0,0.852,t,Year 2003 sample; Huber-White t-statistics; condition/quality dummies and neighbourhood FE included
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,11,Income,other,other,level,BDT per month,3.9e-06,6.3e-07,6.14,0.0,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Tenant household monthly income (not a property characteristic)",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Income,other,other,level,BDT per month,1.1e-06,3e-07,3.22,0.002,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Tenant household monthly income (not a property characteristic)",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,Income,other,other,level,BDT per month,1.04e-06,5e-07,1.85,0.068,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Tenant household monthly income (not a property characteristic)",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,11,Age of house,age,A_structural,level,years,-0.005,0.002,-2.99,0.003,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Age of house,age,A_structural,level,years,-0.0044,0.0016,-2.68,0.009,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,Age of house,age,A_structural,level,years,-8e-05,0.0019,-0.05,0.964,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Room Number,bedrooms,A_structural,level,count,0.0102,0.0032,3.13,0.002,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Defined in Table 1 as number of bedrooms",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Room Number,bedrooms,A_structural,level,count,0.0039,0.0017,2.23,0.028,**,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Defined in Table 1 as number of bedrooms",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,Room Number,bedrooms,A_structural,level,count,0.0202,0.011,1.83,0.07,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Defined in Table 1 as number of bedrooms",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Garage,garage,A_structural,binary,binary,0.011,0.0139,0.8,0.427,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Garage,garage,A_structural,binary,binary,0.0137,0.0043,3.16,0.002,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,Garage,garage,A_structural,binary,binary,0.0081,0.0079,1.02,0.309,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Work place distance,employment_access,D_location,level,km,-0.0066,0.0029,-2.28,0.024,**,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Distance from house to tenant's workplace",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Work place distance,employment_access,D_location,level,km,-0.01,0.003,-3.33,0.001,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Distance from house to tenant's workplace",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,Work place distance,employment_access,D_location,level,km,-0.005,0.0029,-1.73,0.087,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Distance from house to tenant's workplace",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,School distance,school_distance,D_location,level,km,-0.0039,0.0099,-0.4,0.688,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,School distance,school_distance,D_location,level,km,-0.0217,0.0165,-1.32,0.192,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,School distance,school_distance,D_location,level,km,-0.0035,0.0265,-0.14,0.893,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes).",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Open space distance,green_space,E_environment,level,m,-0.0052,0.0027,-2.9,0.06,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Distance to nearest open space/playground/park in metres; printed t=-2.90 and p=0.060 inconsistent with beta/SE ratio (-1.93)",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Open space distance,green_space,E_environment,level,m,-0.0117,0.0038,-5.25,0.0,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Distance to nearest open space/playground/park in metres",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,Open space distance,green_space,E_environment,level,m,-0.0066,0.0032,-2.03,0.045,**,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Distance to nearest open space/playground/park in metres",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Ventilation,other,other,level,1-5 Likert scale,0.0121,0.0059,2.05,0.042,**,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Perceived ventilation (air and light flow) satisfaction, 5-point scale",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Ventilation,other,other,level,1-5 Likert scale,0.0117,0.0027,4.27,0.0,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Perceived ventilation (air and light flow) satisfaction, 5-point scale",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,14,Ventilation,other,other,level,1-5 Likert scale,0.0094,0.0079,1.18,0.24,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Perceived ventilation (air and light flow) satisfaction, 5-point scale",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Waterlogging,flood_risk,E_environment,binary,binary,-0.0151,0.0083,-3.82,0.07,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Presence of waterlogging at the house (1/0); printed t-ratio inconsistent with beta/SE ratio",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Waterlogging,flood_risk,E_environment,binary,binary,-0.0118,0.0062,-2.91,0.059,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Presence of waterlogging at the house (1/0); printed t-ratio inconsistent with beta/SE ratio",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,15,Waterlogging,flood_risk,E_environment,binary,binary,-0.0104,0.0062,-1.67,0.098,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Presence of waterlogging at the house (1/0)",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Landfill,hazard_site,E_environment,binary,binary,-0.0101,0.0075,-1.36,0.176,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Presence of landfill by wastes nearby (1/0)",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Landfill,hazard_site,E_environment,binary,binary,-0.0028,0.0041,-0.68,0.497,,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Presence of landfill by wastes nearby (1/0)",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,15,Landfill,hazard_site,E_environment,binary,binary,-0.0146,0.0075,-1.93,0.056,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Presence of landfill by wastes nearby (1/0)",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T3-c1,3,1,12,Drainage/Sewage,public_services,F_neighbourhood,level,1-5 Likert scale,0.0222,0.0053,4.18,0.0,***,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Perceived drainage/sewage condition, 5-point scale",log monthly house rent (BDT/month),log,OLS,210.0,0.9543,se,Overall Rajshahi City Corporation area; robust SEs; coefficients on pp. 11-12
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T4-c1,4,1,13,Drainage/Sewage,public_services,F_neighbourhood,level,1-5 Likert scale,0.0046,0.0022,2.05,0.043,**,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Perceived drainage/sewage condition, 5-point scale",log monthly house rent (BDT/month),log,OLS,100.0,0.9531,se,Planned residential area; robust SEs; N/R2 note printed on p. 14
b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6,b150aa7a491222e57926fd7829879b82c8d7c8d6:T5-c1,5,1,15,Drainage/Sewage,public_services,F_neighbourhood,level,1-5 Likert scale,0.0114,0.0059,1.94,0.055,*,,,medium,"Log base of dependent variable uncertain (likely log10, see study notes). Perceived drainage/sewage condition, 5-point scale",log monthly house rent (BDT/month),log,OLS,110.0,0.8798,se,Unplanned residential area; conventional SEs; coefficients on pp. 14-15
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,MILF1,hazard_site,E_environment,other,miles,-0.0627,0.0354,,,*,,,high,"inverse of distance to the landfill in miles (1/miles); decay form; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,MICBD1,cbd_distance,D_location,other,miles,0.0386,0.0367,,,,,,high,"inverse of distance to the central business district in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,MIHWY1,highway_distance,D_location,other,miles,0.0001,0.0008,,,,,,high,"inverse of distance to the nearest primary highway in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,AGE,age,A_structural,level,years,-0.0021,0.005,,,,,,high,"age of the house in years (quadratic also included); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,AGE2,age,A_structural,squared,years,0.0,0.0002,,,,,,high,"age squared; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,BDRM,bedrooms,A_structural,level,count,0.065,0.0315,,,**,,,high,"number of bedrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,OTHRM,other,other,level,count,0.0169,0.0246,,,,,,high,"number of other (non-bedroom) rooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,BTHRM,bathrooms,A_structural,level,count,0.1236,0.0345,,,***,,,high,"number of bathrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,LNLTSZ,lot_size,A_structural,log,sqft,0.1171,0.0316,,,***,,,high,"log of lot size, printed as 'in feet' (assumed square feet); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,GRACE,garage,A_structural,dummy,binary,0.1107,0.0316,,,***,,,high,"garage dummy (printed GRACE in Table 3; GARAGE in Eq. 1 / Table 2); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,FPLACE,fireplace,B_interior,dummy,binary,0.0896,0.0414,,,**,,,high,"fireplace dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c1,3,1 (Pepperell),9,POOL,pool,C_exterior,dummy,binary,0.0194,0.0661,,,,,,high,"swimming pool dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5506,se,"single-family sales in the town of Pepperell, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,MILF1,hazard_site,E_environment,other,miles,-0.028,0.0486,,,,,,high,"inverse of distance to the landfill in miles (1/miles); decay form; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,MICBD1,cbd_distance,D_location,other,miles,0.0522,0.0193,,,***,,,high,"inverse of distance to the central business district in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,MIHWY1,highway_distance,D_location,other,miles,-0.0017,0.0016,,,,,,high,"inverse of distance to the nearest primary highway in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,AGE,age,A_structural,level,years,-0.0057,0.0015,,,***,,,high,"age of the house in years (quadratic also included); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,AGE2,age,A_structural,squared,years,2e-05,1e-05,,,**,,,high,"age squared; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,BDRM,bedrooms,A_structural,level,count,0.1063,0.0403,,,**,,,high,"number of bedrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,OTHRM,other,other,level,count,0.0213,0.018,,,,,,high,"number of other (non-bedroom) rooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,BTHRM,bathrooms,A_structural,level,count,0.0041,0.0471,,,,,,high,"number of bathrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,LNLTSZ,lot_size,A_structural,log,sqft,0.1639,0.037,,,***,,,high,"log of lot size, printed as 'in feet' (assumed square feet); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,GRACE,garage,A_structural,dummy,binary,0.0397,0.0427,,,,,,high,"garage dummy (printed GRACE in Table 3; GARAGE in Eq. 1 / Table 2); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,FPLACE,fireplace,B_interior,dummy,binary,0.0624,0.0284,,,**,,,high,"fireplace dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c2,3,2 (Hudson),9,POOL,pool,C_exterior,dummy,binary,0.0901,0.0522,,,*,,,high,"swimming pool dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,47.0,0.7335,se,"single-family sales in the town of Hudson, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,MILF1,hazard_site,E_environment,other,miles,-0.0065,0.0271,,,,,,high,"inverse of distance to the landfill in miles (1/miles); decay form; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,MICBD1,cbd_distance,D_location,other,miles,-0.0085,0.0265,,,***,,,medium,"inverse of distance to the central business district in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level; printed stars inconsistent with printed SE (|b/se|<1.65) - as printed",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,MIHWY1,highway_distance,D_location,other,miles,-0.0008,0.001,,,,,,high,"inverse of distance to the nearest primary highway in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,AGE,age,A_structural,level,years,-0.0045,0.0014,,,***,,,high,"age of the house in years (quadratic also included); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,AGE2,age,A_structural,squared,years,0.000216,7.15e-05,,,***,,,high,"age squared; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,BDRM,bedrooms,A_structural,level,count,0.073,0.0246,,,***,,,high,"number of bedrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,OTHRM,other,other,level,count,0.0843,0.0191,,,***,,,high,"number of other (non-bedroom) rooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,BTHRM,bathrooms,A_structural,level,count,0.1191,0.0381,,,***,,,high,"number of bathrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,LNLTSZ,lot_size,A_structural,log,sqft,0.0601,0.0265,,,**,,,high,"log of lot size, printed as 'in feet' (assumed square feet); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,GRACE,garage,A_structural,dummy,binary,0.0183,0.0351,,,,,,high,"garage dummy (printed GRACE in Table 3; GARAGE in Eq. 1 / Table 2); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,FPLACE,fireplace,B_interior,dummy,binary,0.0008,0.033,,,,,,high,"fireplace dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c3,3,3 (Belchertown),9,POOL,pool,C_exterior,dummy,binary,0.066,0.0599,,,,,,high,"swimming pool dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,101.0,0.7034,se,"single-family sales in the town of Belchertown, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,MILF1,hazard_site,E_environment,other,miles,-0.0099,0.0207,,,,,,high,"inverse of distance to the landfill in miles (1/miles); decay form; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,MICBD1,cbd_distance,D_location,other,miles,0.0298,0.0167,,,***,,,high,"inverse of distance to the central business district in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,MIHWY1,highway_distance,D_location,other,miles,-0.0012,0.0022,,,,,,high,"inverse of distance to the nearest primary highway in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,AGE,age,A_structural,level,years,-0.0083,0.0047,,,***,,,high,"age of the house in years (quadratic also included); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,AGE2,age,A_structural,squared,years,5.3e-05,3.9e-05,,,,,,high,"age squared; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,BDRM,bedrooms,A_structural,level,count,0.0576,0.0323,,,***,,,high,"number of bedrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,OTHRM,other,other,level,count,0.1069,0.0348,,,*,,,high,"number of other (non-bedroom) rooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,BTHRM,bathrooms,A_structural,level,count,-0.036,0.0611,,,,,,high,"number of bathrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,LNLTSZ,lot_size,A_structural,log,sqft,0.0255,0.05122,,,,,,high,"log of lot size, printed as 'in feet' (assumed square feet); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,GRACE,garage,A_structural,dummy,binary,0.1298,0.0552,,,**,,,high,"garage dummy (printed GRACE in Table 3; GARAGE in Eq. 1 / Table 2); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,FPLACE,fireplace,B_interior,dummy,binary,0.0842,0.0625,,,,,,high,"fireplace dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c4,3,4 (Clinton),9,POOL,pool,C_exterior,dummy,binary,-0.016,0.104,,,,,,high,"swimming pool dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,59.0,0.5466,se,"single-family sales in the town of Clinton, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,MILF1,hazard_site,E_environment,other,miles,0.2558,0.1588,,,,,,high,"inverse of distance to the landfill in miles (1/miles); decay form; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,MICBD1,cbd_distance,D_location,other,miles,-0.0082,0.0238,,,,,,high,"inverse of distance to the central business district in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,MIHWY1,highway_distance,D_location,other,miles,-0.0038,0.0018,,,**,,,high,"inverse of distance to the nearest primary highway in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,AGE,age,A_structural,level,years,-0.0086,0.0032,,,**,,,high,"age of the house in years (quadratic also included); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,AGE2,age,A_structural,squared,years,0.0004,0.0002,,,*,,,high,"age squared; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,BDRM,bedrooms,A_structural,level,count,-0.0178,0.0234,,,,,,high,"number of bedrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,OTHRM,other,other,level,count,0.0078,0.0314,,,,,,high,"number of other (non-bedroom) rooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,BTHRM,bathrooms,A_structural,level,count,0.161,0.0819,,,,,,high,"number of bathrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,LNLTSZ,lot_size,A_structural,log,sqft,0.0056,0.0419,,,,,,high,"log of lot size, printed as 'in feet' (assumed square feet); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,GRACE,garage,A_structural,dummy,binary,0.0629,0.0679,,,,,,high,"garage dummy (printed GRACE in Table 3; GARAGE in Eq. 1 / Table 2); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,FPLACE,fireplace,B_interior,dummy,binary,0.0935,0.0534,,,*,,,high,"fireplace dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c5,3,5 (Leicester),9,POOL,pool,C_exterior,dummy,binary,0.2151,0.1118,,,*,,,high,"swimming pool dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,46.0,0.4127,se,"single-family sales in the town of Leicester, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,MILF1,hazard_site,E_environment,other,miles,0.0073,0.0309,,,,,,high,"inverse of distance to the landfill in miles (1/miles); decay form; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,MICBD1,cbd_distance,D_location,other,miles,-0.0139,0.0249,,,,,,high,"inverse of distance to the central business district in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,MIHWY1,highway_distance,D_location,other,miles,-0.0012,0.0022,,,,,,high,"inverse of distance to the nearest primary highway in miles (1/miles); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,AGE,age,A_structural,level,years,-0.0028,0.0018,,,,,,high,"age of the house in years (quadratic also included); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,AGE2,age,A_structural,squared,years,4.86e-05,0.0001,,,,,,high,"age squared; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,BDRM,bedrooms,A_structural,level,count,0.092,0.0326,,,***,,,high,"number of bedrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,OTHRM,other,other,level,count,0.0445,0.0244,,,*,,,high,"number of other (non-bedroom) rooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,BTHRM,bathrooms,A_structural,level,count,0.0235,0.0406,,,,,,high,"number of bathrooms; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,LNLTSZ,lot_size,A_structural,log,sqft,0.01066,0.0305,,,***,,,medium,"log of lot size, printed as 'in feet' (assumed square feet); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level; printed stars inconsistent with printed SE (|b/se|<1.65) - as printed",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,GRACE,garage,A_structural,dummy,binary,0.1602,0.0547,,,***,,,high,"garage dummy (printed GRACE in Table 3; GARAGE in Eq. 1 / Table 2); White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,FPLACE,fireplace,B_interior,dummy,binary,0.0633,0.0477,,,,,,high,"fireplace dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd,b4d90ac556c12775841d148b92b32c2089b062dd:T3-c6,3,6 (Ware),9,POOL,pool,C_exterior,dummy,binary,0.0564,0.0781,,,,,,high,"swimming pool dummy; White-corrected SE in parentheses; *** 99%, ** 95%, * 90% level",log of sale price (1995 dollars),log,OLS,67.0,0.6215,se,"single-family sales in the town of Ware, Massachusetts, Jan 1992-Aug 1995 (separate regression per town; Chow test rejected pooling); r2 = adjusted R2; year-of-sale dummies SOLD92-94 included, not extracted"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,lnarea_total,living_area,A_structural,log,m2,0.41,0.017,23.988,,***,,,high,Log total floor area excl. basement,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,lnarea_total,living_area,A_structural,log,m2,0.409,0.018,22.825,,***,,,high,Log total floor area excl. basement,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,lnarea_total,living_area,A_structural,log,m2,0.411,0.017,23.864,,***,,,high,Log total floor area excl. basement,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,lnarea_plot,lot_size,A_structural,log,m2,0.111,0.012,8.945,,***,,,high,Log plot space,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,lnarea_plot,lot_size,A_structural,log,m2,0.111,0.013,8.855,,***,,,high,Log plot space,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,lnarea_plot,lot_size,A_structural,log,m2,0.111,0.012,8.891,,***,,,high,Log plot space,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,cond_house_1,condition,A_structural,binary,binary,-0.052,0.014,-3.742,,***,,,high,1 = poor condition,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,cond_house_1,condition,A_structural,binary,binary,-0.045,0.014,-3.33,,**,,,high,1 = poor condition,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,cond_house_1,condition,A_structural,binary,binary,-0.044,0.014,-3.229,,**,,,high,1 = poor condition,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,heat_1,heating,A_structural,binary,binary,-0.102,0.02,-5.018,,***,,,high,1 = poor quality heating system,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,heat_1,heating,A_structural,binary,binary,-0.107,0.023,-4.602,,***,,,high,1 = poor quality heating system,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,heat_1,heating,A_structural,binary,binary,-0.105,0.021,-5.005,,***,,,high,1 = poor quality heating system,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,bath_1,bathroom_quality,B_interior,binary,binary,-0.076,0.019,-3.91,,***,,,high,1 = poor quality bathroom/toilet,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,bath_1,bathroom_quality,B_interior,binary,binary,-0.074,0.022,-3.339,,***,,,high,1 = poor quality bathroom/toilet,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,bath_1,bathroom_quality,B_interior,binary,binary,-0.075,0.019,-3.985,,***,,,high,1 = poor quality bathroom/toilet,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,attic_1,storage,B_interior,binary,binary,-0.024,0.012,-2.018,,*,,,high,1 = traditional attic exists,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,attic_1,storage,B_interior,binary,binary,-0.024,0.011,-2.077,,*,,,high,1 = traditional attic exists,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,attic_1,storage,B_interior,binary,binary,-0.024,0.012,-2.02,,*,,,high,1 = traditional attic exists,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,basement_1,basement,A_structural,binary,binary,0.132,0.013,9.936,,***,,,high,,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,basement_1,basement,A_structural,binary,binary,0.126,0.013,9.597,,***,,,high,,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,basement_1,basement,A_structural,binary,binary,0.124,0.014,9.069,,***,,,high,,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,garage_1,garage,A_structural,binary,binary,-0.082,0.012,-6.899,,***,,,high,1 = poor quality garage,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,garage_1,garage,A_structural,binary,binary,-0.084,0.012,-7.162,,***,,,high,1 = poor quality garage,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,garage_1,garage,A_structural,binary,binary,-0.084,0.012,-7.064,,***,,,high,1 = poor quality garage,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,terr_1,terrace_balcony,C_exterior,binary,binary,0.07,0.012,5.893,,***,,,high,,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,terr_1,terrace_balcony,C_exterior,binary,binary,0.066,0.012,5.673,,***,,,high,,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,terr_1,terrace_balcony,C_exterior,binary,binary,0.066,0.012,5.574,,***,,,high,,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,age,age,A_structural,level,years,-0.006,0.0,-16.976,,***,,,high,SE printed as 0.000 (rounded); S2SLS t printed without stars,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,age,age,A_structural,level,years,-0.006,0.0,-17.617,,***,,,high,SE printed as 0.000 (rounded); S2SLS t printed without stars,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,age,age,A_structural,level,years,-0.006,0.0,-16.434,,,,,high,SE printed as 0.000 (rounded); S2SLS t printed without stars,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,muni_pp_ind,income,F_neighbourhood,level,index,0.005,0.001,5.8,,***,,,high,Municipal purchasing power index (federal state = 100),"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,muni_pp_ind,income,F_neighbourhood,level,index,0.005,0.001,5.89,,***,,,high,Municipal purchasing power index (federal state = 100),"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,muni_pp_ind,income,F_neighbourhood,level,index,0.005,0.001,5.709,,***,,,high,Municipal purchasing power index (federal state = 100),"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,muni_acad,education_level,F_neighbourhood,level,share,0.011,0.002,5.695,,***,,,high,Proportion of academics in municipality (%),"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,muni_acad,education_level,F_neighbourhood,level,share,0.009,0.002,4.384,,***,,,high,Proportion of academics in municipality (%),"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,muni_acad,education_level,F_neighbourhood,level,share,0.008,0.002,3.692,,***,,,high,Proportion of academics in municipality (%),"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,muni_unempl,unemployment,F_neighbourhood,level,share,-1.454,0.649,-2.241,,*,,,high,Municipal unemployment rate (OLS only),"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,muni_age_ind,demographics,F_neighbourhood,level,index,-0.02,0.004,-5.538,,***,,,high,Population age index,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,muni_age_ind,demographics,F_neighbourhood,level,index,-0.017,0.004,-4.788,,***,,,high,Population age index,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,muni_age_ind,demographics,F_neighbourhood,level,index,-0.016,0.004,-4.255,,***,,,high,Population age index,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,ln_muni_popd,density,F_neighbourhood,log,per_km2,0.033,0.007,4.518,,***,,,high,Log municipal population density,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,ln_muni_popd,density,F_neighbourhood,log,per_km2,0.02,0.006,3.153,,**,,,high,Log municipal population density,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,ln_muni_popd,density,F_neighbourhood,log,per_km2,0.02,0.006,3.245,,,,,high,Log municipal population density,"lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,enumd_acad_dmuni,education_level,F_neighbourhood,level,share,0.008,0.001,6.072,,***,,,high,"Enumeration-district proportion of academics, deviation from municipal mean","lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-SAR,2,SAR,14,enumd_acad_dmuni,education_level,F_neighbourhood,level,share,0.006,0.001,4.997,,***,,,high,"Enumeration-district proportion of academics, deviation from municipal mean","lnp (log purchase price, EUR)",log,spatial_lag,3887.0,0.486,se,"Spatial autoregressive (lag) model, k=5 nearest neighbours, ML; z-values"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-S2SLS,2,S2SLS,14,enumd_acad_dmuni,education_level,F_neighbourhood,level,share,0.005,0.001,4.232,,**,,,high,"Enumeration-district proportion of academics, deviation from municipal mean","lnp (log purchase price, EUR)",log,spatial_lag,3887.0,,se,Spatial two-stage least squares with SHAC standard errors
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,enumd_unempl_dmuni,unemployment,F_neighbourhood,level,share,1.758,0.607,2.898,,**,,,high,"Enumeration-district unemployment, deviation from municipal mean (OLS only)","lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T2-OLS,2,OLS,14,enumd_age_ind_dmuni,demographics,F_neighbourhood,level,index,0.004,0.003,1.568,,***,,,high,Enumeration-district age index deviation (OLS only); stars as printed although t = 1.568,"lnp (log purchase price, EUR)",log,OLS,3887.0,0.473,se,"Global model, stepwise AIC selection; HC (White) standard errors; federal state dummies"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,lnarea_total,living_area,A_structural,log,m2,0.422,0.024,17.453,,***,,,medium,Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,lnarea_plot,lot_size,A_structural,log,m2,0.077,0.018,4.268,,***,,,medium,Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,heat_1,heating,A_structural,binary,binary,-0.111,0.031,-3.544,,***,,,medium,1 = poor heating; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,Age,age,A_structural,level,years,-0.005,0.0,-11.441,,***,,,medium,SE printed 0.000; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,enumd_unempl,unemployment,F_neighbourhood,level,share,-2.103,0.587,3.581,,***,,,medium,Enumeration-district unemployment rate; t printed positive while coefficient negative (as printed); Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,muni_pp_ind,income,F_neighbourhood,level,index,0.004,0.001,4.442,,***,,,medium,Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,muni_acad,education_level,F_neighbourhood,level,share,0.012,0.003,4.567,,***,,,medium,Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,muni_age_ind,demographics,F_neighbourhood,level,index,-0.038,0.005,-8.26,,***,,,medium,Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,ln_muni_popd,density,F_neighbourhood,log,per_km2,0.067,0.008,8.623,,***,,,medium,Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,cond_house_1,condition,A_structural,binary,binary,-0.038,0.02,-1.953,,.,,,medium,Spatially stationary in MGWR; '.' = p<0.10; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,bath_1,bathroom_quality,B_interior,binary,binary,-0.064,0.031,-2.029,,*,,,medium,Spatially stationary in MGWR; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,attic_1,storage,B_interior,binary,binary,-0.028,0.016,-1.674,,.,,,medium,Spatially stationary in MGWR; '.' = p<0.10; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,basement_1,basement,A_structural,binary,binary,0.144,0.019,7.665,,***,,,medium,Spatially stationary in MGWR; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,garage_1,garage,A_structural,binary,binary,-0.068,0.017,-4.06,,***,,,medium,Spatially stationary in MGWR; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6,b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6:T3-global,3,Global coeff.,16,terr_1,terrace_balcony,C_exterior,binary,binary,0.076,0.017,4.587,,***,,,medium,Spatially stationary in MGWR; Global column of the semi-local (MGWR) table; exact estimator of the global counterparts for locally varying covariates is not stated,"lnp (log purchase price, EUR)",log,GWR,3887.0,,se,"Mixed GWR on 50% random subsample; 'global' column = spatially stationary estimates for cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 and global counterparts for the locally varying covariates (local quantiles not extracted)"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,Log(living area sqft),living_area,A_structural,log,sqft,0.458,0.032,,,***,,,high,,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,Log(living area sqft),living_area,A_structural,log,sqft,0.323,0.01,,,***,,,high,,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,Log(lotsize),lot_size,A_structural,log,acres,0.0921,0.011,,,***,,,high,Lot size in acres (Table 1),"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,Log(lotsize),lot_size,A_structural,log,acres,0.063,0.005,,,***,,,high,Lot size in acres (Table 1),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,2 bathrooms+,bathrooms,A_structural,dummy,binary,0.0436,0.007,,,***,,,high,2 (or 2.5 in CT) bathrooms; ref. 1 bathroom,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,2 bathrooms+,bathrooms,A_structural,dummy,binary,0.051,0.003,,,***,,,high,2 (or 2.5 in CT) bathrooms; ref. 1 bathroom,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,3 bathrooms+,bathrooms,A_structural,dummy,binary,0.122,0.009,,,***,,,high,3 (or 3.5 in CT) bathrooms; ref. 1 bathroom,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,3 bathrooms+,bathrooms,A_structural,dummy,binary,0.117,0.008,,,***,,,high,3 (or 3.5 in CT) bathrooms; ref. 1 bathroom,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,4 or more bathrooms,bathrooms,A_structural,dummy,binary,0.282,0.018,,,***,,,high,ref. 1 bathroom,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,4 or more bathrooms,bathrooms,A_structural,dummy,binary,0.07,0.012,,,***,,,high,ref. 1 bathroom,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,Age>=10 and < 30,age,A_structural,dummy,years,0.166,0.012,,,***,,,high,Age category 10-29 years; ref. age < 10,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,Age>=10 and < 30,age,A_structural,dummy,years,-0.033,0.006,,,***,,,high,Age category 10-29 years; ref. age < 10,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,Age>=30 and <=50,age,A_structural,dummy,years,0.0588,0.008,,,***,,,high,Age category 30-50 years; ref. age < 10,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,Age>=30 and <=50,age,A_structural,dummy,years,-0.127,0.007,,,***,,,high,Age category 30-50 years; ref. age < 10,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,Age>=50,age,A_structural,dummy,years,-0.0248,0.013,,,,,,high,Age category > 50 years; ref. age < 10,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,Age>=50,age,A_structural,dummy,years,-0.177,0.011,,,***,,,high,Age category > 50 years; ref. age < 10,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,2 bedrooms,bedrooms,A_structural,dummy,binary,0.0357,0.03,,,**,,,medium,Bedroom-count dummy (reference not stated); printed stars inconsistent with printed SE (as printed),"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,2 bedrooms,bedrooms,A_structural,dummy,binary,0.01,0.013,,,,,,high,Bedroom-count dummy (reference not stated),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,3 bedrooms,bedrooms,A_structural,dummy,binary,0.05,0.03,,,***,,,medium,Bedroom-count dummy (reference not stated); printed stars inconsistent with printed SE (as printed),"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,3 bedrooms,bedrooms,A_structural,dummy,binary,0.019,0.014,,,,,,high,Bedroom-count dummy (reference not stated),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,4 bedrooms,bedrooms,A_structural,dummy,binary,0.0356,0.028,,,**,,,medium,Bedroom-count dummy (reference not stated); printed stars inconsistent with printed SE (as printed),"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,4 bedrooms,bedrooms,A_structural,dummy,binary,0.032,0.014,,,**,,,high,Bedroom-count dummy (reference not stated),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,5 or more bedrooms,bedrooms,A_structural,dummy,binary,0.0566,0.026,,,***,,,medium,Bedroom-count dummy (reference not stated); printed stars inconsistent with printed SE (as printed),"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,5 or more bedrooms,bedrooms,A_structural,dummy,binary,0.006,0.014,,,,,,high,Bedroom-count dummy (reference not stated),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,5 total rooms,other,other,dummy,binary,-0.0167,0.009,,,*,,,high,Total-rooms dummy (reference not stated),"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,5 total rooms,other,other,dummy,binary,0.024,0.005,,,***,,,high,Total-rooms dummy (reference not stated),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,6 total rooms,other,other,dummy,binary,-0.021,0.014,,,,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,6 total rooms,other,other,dummy,binary,0.026,0.007,,,***,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,7 total rooms,other,other,dummy,binary,-0.00341,0.018,,,,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,7 total rooms,other,other,dummy,binary,0.034,0.008,,,***,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,8 total rooms,other,other,dummy,binary,0.0107,0.022,,,,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,8 total rooms,other,other,dummy,binary,0.064,0.008,,,***,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,9 total rooms,other,other,dummy,binary,0.0293,0.025,,,,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,9 total rooms,other,other,dummy,binary,0.106,0.009,,,***,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,10 to 14 total rooms,other,other,dummy,binary,0.0577,0.026,,,**,,,medium,Total-rooms dummy; printed stars inconsistent with printed SE (as printed),"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,10 to 14 total rooms,other,other,dummy,binary,0.13,0.011,,,***,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c1,2,1,16,15 or more rooms,other,other,dummy,binary,0.196,0.05,,,***,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,258473.0,0.844,se,"Connecticut, 50 municipalities, 1994-2013; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,15 or more rooms,other,other,dummy,binary,0.107,0.023,,,***,,,high,Total-rooms dummy,"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,1 half bathroom,bathrooms,A_structural,dummy,binary,0.073,0.002,,,***,,,high,Half bathrooms (MA only),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d,b633c49b2f5879640f919bdc54ae4390ee31d91d:T2-c2,2,2,16,2 or more half bathrooms,bathrooms,A_structural,dummy,binary,0.112,0.007,,,***,,,high,Half bathrooms (MA only),"logprice (log sale price, USD)",log,FE_panel,609123.0,0.7,se,"Massachusetts (Greater Boston, 145 towns), 1987-2012; town FE + year dummies; clustered SE"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Age,age,A_structural,level,years,-0.005,0.001,,,***,,,high,"building age in years; age-category dummies (construction periods, ref post-2000) also included","log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Age,age,A_structural,level,years,-0.008,0.001,,,***,,,high,"building age in years; age-category dummies (construction periods, ref post-2000) also included","log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Age,age,A_structural,level,years,-0.005,0.001,,,***,,,high,"building age in years; age-category dummies (construction periods, ref post-2000) also included","log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Age2,age,A_structural,squared,years,0.0,,,,***,,,low,age squared; coefficient and SE printed as 0.000 (rounded); SE printed as (0.000),"log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Age2,age,A_structural,squared,years,0.0,,,,***,,,low,age squared; coefficient and SE printed as 0.000 (rounded); SE printed as (0.000),"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Age2,age,A_structural,squared,years,0.0,,,,***,,,low,age squared; coefficient and SE printed as 0.000 (rounded); SE printed as (0.000),"log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Floor space (log),living_area,A_structural,log,m2,-0.106,0.008,,,***,,,high,"dependent variable is per m2, so this is a size (dis)count on price/rent per m2","log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Floor space (log),living_area,A_structural,log,m2,0.097,0.014,,,***,,,high,"dependent variable is per m2, so this is a size (dis)count on price/rent per m2","log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Floor space (log),living_area,A_structural,log,m2,0.671,0.013,,,***,,,high,"dependent variable is per m2, so this is a size (dis)count on price/rent per m2","log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,No of rooms,bedrooms,A_structural,level,count,0.014,0.003,,,***,,,high,number of rooms (not bedrooms),"log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,No of rooms,bedrooms,A_structural,level,count,0.007,0.004,,,,,,high,number of rooms (not bedrooms),"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,No of rooms,bedrooms,A_structural,level,count,-0.014,0.002,,,***,,,high,number of rooms (not bedrooms),"log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Multi-family housing: Floor level,floor_level,A_structural,level,count,-0.008,0.001,,,***,,,high,floor level of apartment in multi-family building,"log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Multi-family housing: Floor level,floor_level,A_structural,level,count,-0.018,0.002,,,***,,,high,floor level of apartment in multi-family building,"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Good state of house,condition,A_structural,binary,binary,0.071,0.004,,,***,,,high,,"log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Good state of house,condition,A_structural,binary,binary,0.083,0.006,,,***,,,high,,"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Good state of house,condition,A_structural,binary,binary,0.038,0.006,,,***,,,high,,"log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Bad state of house,condition,A_structural,binary,binary,-0.023,0.004,,,***,,,high,,"log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Bad state of house,condition,A_structural,binary,binary,-0.105,0.006,,,***,,,high,,"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Bad state of house,condition,A_structural,binary,binary,-0.085,0.005,,,***,,,high,,"log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Duration of offer,time_on_market,G_market,level,days,0.0,,,,***,,,low,coefficient and SE printed as 0.000 (rounded); SE printed as (0.000),"log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Duration of offer,time_on_market,G_market,level,days,-0.0,,,,,,,low,coefficient and SE printed as 0.000 (rounded); SE printed as (0.000),"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Duration of offer,time_on_market,G_market,level,days,0.0,,,,,,,low,coefficient and SE printed as 0.000 (rounded); SE printed as (0.000),"log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Population (log),density,F_neighbourhood,log,count,0.009,0.007,,,,,,high,"annual population of the 5-digit postcode district (log), not density per km2","log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Population (log),density,F_neighbourhood,log,count,0.033,0.017,,,**,,,high,"annual population of the 5-digit postcode district (log), not density per km2","log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Population (log),density,F_neighbourhood,log,count,0.059,0.014,,,***,,,high,"annual population of the 5-digit postcode district (log), not density per km2","log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Mortality (deaths per 100 inhabitants),demographics,F_neighbourhood,level,deaths per 100 inhabitants,-0.013,0.006,,,**,,,high,district-level mortality as proxy for local ageing,"log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Mortality (deaths per 100 inhabitants),demographics,F_neighbourhood,level,deaths per 100 inhabitants,-0.036,0.011,,,***,,,high,district-level mortality as proxy for local ageing,"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Mortality (deaths per 100 inhabitants),demographics,F_neighbourhood,level,deaths per 100 inhabitants,0.006,0.012,,,,,,high,district-level mortality as proxy for local ageing,"log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c1,3,1,14,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.002,,,,***,,,medium,"share of foreign nationals in the 5-digit postcode district; SE printed as (0.000), rounded","log(asking rent, EUR per m2)",log,SAC,16004.0,,se,"Rental apartments, Dortmund 2007-2016 (30% random sample); lambda 1.271***, rho 1.176***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c2,3,2,14,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.006,0.001,,,***,,,high,share of foreign nationals in the 5-digit postcode district,"log(asking price, EUR per m2)",log,SAC,15786.0,,se,"Apartments for sale, Dortmund 2007-2016; lambda 0.743***, rho 1.392***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T3-c3,3,3,14,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.002,0.002,,,,,,high,share of foreign nationals in the 5-digit postcode district,"log(asking price, EUR per m2)",log,SAC,25347.0,,se,"1-/2-family homes for sale, Dortmund 2008-2015; lambda 0.244***, rho 1.447***"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c1,4,"Community 1 (City Centre), col 1 (Rent)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),-0.003,0.003,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1839.0,,se,"Rental apartments, residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c1,4,"Community 1 (City Centre), col 1 (Rent)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.003,0.001,,,**,,,high,share of foreign nationals in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1839.0,,se,"Rental apartments, residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c1,4,"Community 1 (City Centre), col 1 (Rent)",18,New stock,liquidity,G_market,level,share,0.185,0.159,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking rent, EUR per m2)",log,SAC,1839.0,,se,"Rental apartments, residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c2,4,"Community 1 (City Centre), col 2 (Purchase: Apartments)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.0,0.006,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,2118.0,,se,"Apartments for sale, residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c2,4,"Community 1 (City Centre), col 2 (Purchase: Apartments)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.009,0.003,,,***,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,2118.0,,se,"Apartments for sale, residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c2,4,"Community 1 (City Centre), col 2 (Purchase: Apartments)",18,New stock,liquidity,G_market,level,share,0.209,0.061,,,***,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,2118.0,,se,"Apartments for sale, residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c3,4,"Community 1 (City Centre), col 3 (1-/2-Family Homes)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.027,0.008,,,***,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,670.0,,se,"1-/2-family homes for sale (2008-2015), residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c3,4,"Community 1 (City Centre), col 3 (1-/2-Family Homes)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.002,0.005,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,670.0,,se,"1-/2-family homes for sale (2008-2015), residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C1-c3,4,"Community 1 (City Centre), col 3 (1-/2-Family Homes)",18,New stock,liquidity,G_market,level,share,0.451,0.644,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,670.0,,se,"1-/2-family homes for sale (2008-2015), residential community 1 (City Centre) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c1,4,"Community 2 (Nordstadt), col 1 (Rent)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.001,0.004,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1149.0,,se,"Rental apartments, residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c1,4,"Community 2 (Nordstadt), col 1 (Rent)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.0,0.002,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1149.0,,se,"Rental apartments, residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c1,4,"Community 2 (Nordstadt), col 1 (Rent)",18,New stock,liquidity,G_market,level,share,-0.36,0.254,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking rent, EUR per m2)",log,SAC,1149.0,,se,"Rental apartments, residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c2,4,"Community 2 (Nordstadt), col 2 (Purchase: Apartments)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.003,0.014,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,820.0,,se,"Apartments for sale, residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c2,4,"Community 2 (Nordstadt), col 2 (Purchase: Apartments)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.002,0.005,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,820.0,,se,"Apartments for sale, residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c2,4,"Community 2 (Nordstadt), col 2 (Purchase: Apartments)",18,New stock,liquidity,G_market,level,share,0.158,0.182,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,820.0,,se,"Apartments for sale, residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c3,4,"Community 2 (Nordstadt), col 3 (1-/2-Family Homes)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.011,0.023,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,404.0,,se,"1-/2-family homes for sale (2008-2015), residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c3,4,"Community 2 (Nordstadt), col 3 (1-/2-Family Homes)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.004,0.008,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,404.0,,se,"1-/2-family homes for sale (2008-2015), residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C2-c3,4,"Community 2 (Nordstadt), col 3 (1-/2-Family Homes)",18,New stock,liquidity,G_market,level,share,0.292,0.204,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,404.0,,se,"1-/2-family homes for sale (2008-2015), residential community 2 (Nordstadt) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c1,4,"Community 3 (Dortmund West), col 1 (Rent)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.006,0.002,,,***,,,high,share of population over 60 in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,3997.0,,se,"Rental apartments, residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c1,4,"Community 3 (Dortmund West), col 1 (Rent)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),0.003,0.001,,,***,,,high,share of foreign nationals in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,3997.0,,se,"Rental apartments, residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c1,4,"Community 3 (Dortmund West), col 1 (Rent)",18,New stock,liquidity,G_market,level,share,-0.631,0.094,,,***,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking rent, EUR per m2)",log,SAC,3997.0,,se,"Rental apartments, residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c2,4,"Community 3 (Dortmund West), col 2 (Purchase: Apartments)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.0,0.002,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,2767.0,,se,"Apartments for sale, residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c2,4,"Community 3 (Dortmund West), col 2 (Purchase: Apartments)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.003,0.003,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,2767.0,,se,"Apartments for sale, residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c2,4,"Community 3 (Dortmund West), col 2 (Purchase: Apartments)",18,New stock,liquidity,G_market,level,share,0.047,0.118,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,2767.0,,se,"Apartments for sale, residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c3,4,"Community 3 (Dortmund West), col 3 (1-/2-Family Homes)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.003,0.002,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,5279.0,,se,"1-/2-family homes for sale (2008-2015), residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c3,4,"Community 3 (Dortmund West), col 3 (1-/2-Family Homes)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.002,0.002,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,5279.0,,se,"1-/2-family homes for sale (2008-2015), residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C3-c3,4,"Community 3 (Dortmund West), col 3 (1-/2-Family Homes)",18,New stock,liquidity,G_market,level,share,0.156,0.058,,,***,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,5279.0,,se,"1-/2-family homes for sale (2008-2015), residential community 3 (Dortmund West) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c1,4,"Community 4 (Dortmund North), col 1 (Rent)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.003,0.002,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1935.0,,se,"Rental apartments, residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c1,4,"Community 4 (Dortmund North), col 1 (Rent)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.001,0.001,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1935.0,,se,"Rental apartments, residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c1,4,"Community 4 (Dortmund North), col 1 (Rent)",18,New stock,liquidity,G_market,level,share,-0.091,0.074,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking rent, EUR per m2)",log,SAC,1935.0,,se,"Rental apartments, residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c2,4,"Community 4 (Dortmund North), col 2 (Purchase: Apartments)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.009,0.004,,,**,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,687.0,,se,"Apartments for sale, residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c2,4,"Community 4 (Dortmund North), col 2 (Purchase: Apartments)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),0.001,0.002,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,687.0,,se,"Apartments for sale, residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c2,4,"Community 4 (Dortmund North), col 2 (Purchase: Apartments)",18,New stock,liquidity,G_market,level,share,0.176,0.167,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,687.0,,se,"Apartments for sale, residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c3,4,"Community 4 (Dortmund North), col 3 (1-/2-Family Homes)",18,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.002,0.003,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,3321.0,,se,"1-/2-family homes for sale (2008-2015), residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c3,4,"Community 4 (Dortmund North), col 3 (1-/2-Family Homes)",18,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.003,0.002,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,3321.0,,se,"1-/2-family homes for sale (2008-2015), residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C4-c3,4,"Community 4 (Dortmund North), col 3 (1-/2-Family Homes)",18,New stock,liquidity,G_market,level,share,0.073,0.055,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,3321.0,,se,"1-/2-family homes for sale (2008-2015), residential community 4 (Dortmund North) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c1,4,"Community 5 (Dortmund East), col 1 (Rent)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.001,0.001,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,3205.0,,se,"Rental apartments, residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c1,4,"Community 5 (Dortmund East), col 1 (Rent)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.002,0.001,,,*,,,high,share of foreign nationals in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,3205.0,,se,"Rental apartments, residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c1,4,"Community 5 (Dortmund East), col 1 (Rent)",19,New stock,liquidity,G_market,level,share,-0.354,0.94,,,***,,,medium,"annual offerings in relation to the existing stock of residential buildings (footnote a); SE printed as (0.94), probably a typo for (0.094)","log(asking rent, EUR per m2)",log,SAC,3205.0,,se,"Rental apartments, residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c2,4,"Community 5 (Dortmund East), col 2 (Purchase: Apartments)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),-0.0,0.002,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,3288.0,,se,"Apartments for sale, residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c2,4,"Community 5 (Dortmund East), col 2 (Purchase: Apartments)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.006,0.003,,,**,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,3288.0,,se,"Apartments for sale, residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c2,4,"Community 5 (Dortmund East), col 2 (Purchase: Apartments)",19,New stock,liquidity,G_market,level,share,0.025,0.096,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,3288.0,,se,"Apartments for sale, residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c3,4,"Community 5 (Dortmund East), col 3 (1-/2-Family Homes)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.003,0.001,,,***,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,6806.0,,se,"1-/2-family homes for sale (2008-2015), residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c3,4,"Community 5 (Dortmund East), col 3 (1-/2-Family Homes)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.0,0.001,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,6806.0,,se,"1-/2-family homes for sale (2008-2015), residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C5-c3,4,"Community 5 (Dortmund East), col 3 (1-/2-Family Homes)",19,New stock,liquidity,G_market,level,share,0.009,0.02,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,6806.0,,se,"1-/2-family homes for sale (2008-2015), residential community 5 (Dortmund East) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c1,4,"Community 6 (Dortmund South), col 1 (Rent)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.001,0.001,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1594.0,,se,"Rental apartments, residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c1,4,"Community 6 (Dortmund South), col 1 (Rent)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.0,0.001,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,1594.0,,se,"Rental apartments, residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c1,4,"Community 6 (Dortmund South), col 1 (Rent)",19,New stock,liquidity,G_market,level,share,0.06,0.125,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking rent, EUR per m2)",log,SAC,1594.0,,se,"Rental apartments, residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c2,4,"Community 6 (Dortmund South), col 2 (Purchase: Apartments)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.003,0.003,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,2433.0,,se,"Apartments for sale, residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c2,4,"Community 6 (Dortmund South), col 2 (Purchase: Apartments)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.003,0.003,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,2433.0,,se,"Apartments for sale, residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c2,4,"Community 6 (Dortmund South), col 2 (Purchase: Apartments)",19,New stock,liquidity,G_market,level,share,-0.083,0.076,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,2433.0,,se,"Apartments for sale, residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c3,4,"Community 6 (Dortmund South), col 3 (1-/2-Family Homes)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.007,0.002,,,***,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,4957.0,,se,"1-/2-family homes for sale (2008-2015), residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c3,4,"Community 6 (Dortmund South), col 3 (1-/2-Family Homes)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),0.0,0.002,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,4957.0,,se,"1-/2-family homes for sale (2008-2015), residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C6-c3,4,"Community 6 (Dortmund South), col 3 (1-/2-Family Homes)",19,New stock,liquidity,G_market,level,share,0.05,0.076,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,4957.0,,se,"1-/2-family homes for sale (2008-2015), residential community 6 (Dortmund South) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c1,4,"Community 7 (Hörde), col 1 (Rent)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),-0.003,0.006,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,626.0,,se,"Rental apartments, residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c1,4,"Community 7 (Hörde), col 1 (Rent)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.004,0.006,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking rent, EUR per m2)",log,SAC,626.0,,se,"Rental apartments, residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c1,4,"Community 7 (Hörde), col 1 (Rent)",20,New offers,liquidity,G_market,level,share,-0.143,0.226,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking rent, EUR per m2)",log,SAC,626.0,,se,"Rental apartments, residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c2,4,"Community 7 (Hörde), col 2 (Purchase: Apartments)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),-0.012,0.013,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,646.0,,se,"Apartments for sale, residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c2,4,"Community 7 (Hörde), col 2 (Purchase: Apartments)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),-0.014,0.009,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,646.0,,se,"Apartments for sale, residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c2,4,"Community 7 (Hörde), col 2 (Purchase: Apartments)",20,New offers,liquidity,G_market,level,share,-0.377,0.278,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,646.0,,se,"Apartments for sale, residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c3,4,"Community 7 (Hörde), col 3 (1-/2-Family Homes)",19,Population aged >60 (in %),demographics,F_neighbourhood,level,share (%),0.018,0.016,,,,,,high,share of population over 60 in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,475.0,,se,"1-/2-family homes for sale (2008-2015), residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c3,4,"Community 7 (Hörde), col 3 (1-/2-Family Homes)",19,Foreigners (in %),demographics,F_neighbourhood,level,share (%),0.0,0.008,,,,,,high,share of foreign nationals in 1 km grid cell,"log(asking price, EUR per m2)",log,SAC,475.0,,se,"1-/2-family homes for sale (2008-2015), residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf,b79aa4750ced5d8cf3b4aca71bb4a545f71e34bf:T4-C7-c3,4,"Community 7 (Hörde), col 3 (1-/2-Family Homes)",20,New offers,liquidity,G_market,level,share,-0.796,0.574,,,,,,high,annual offerings in relation to the existing stock of residential buildings (footnote a),"log(asking price, EUR per m2)",log,SAC,475.0,,se,"1-/2-family homes for sale (2008-2015), residential community 7 (Hörde) only, 2007-2016; 1 km grid demographics; housing characteristics and year FE included (not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Construction Date,age,A_structural,other,ordinal category,0.114,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Construction-period ordinal category (before 1500 ... from 2001 onwards), not age in years",Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Construction Date,age,A_structural,other,ordinal category,0.118,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Construction-period ordinal category (before 1500 ... from 2001 onwards), not age in years",Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Construction Date,age,A_structural,other,ordinal category,0.147,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Construction-period ordinal category (before 1500 ... from 2001 onwards), not age in years",Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Construction Date,age,A_structural,other,ordinal category,0.054,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Construction-period ordinal category (before 1500 ... from 2001 onwards), not age in years",Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Construction Date,age,A_structural,other,ordinal category,0.144,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Construction-period ordinal category (before 1500 ... from 2001 onwards), not age in years",Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Construction Date,age,A_structural,other,ordinal category,0.08,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Construction-period ordinal category (before 1500 ... from 2001 onwards), not age in years",Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Insulation,insulation,B_interior,other,ordinal category,0.136,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Ordinal insulation level (without insulation ... fully insulated),Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Insulation,insulation,B_interior,other,ordinal category,0.158,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Ordinal insulation level (without insulation ... fully insulated),Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Insulation,insulation,B_interior,other,ordinal category,0.136,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Ordinal insulation level (without insulation ... fully insulated),Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Insulation,insulation,B_interior,other,ordinal category,0.156,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Ordinal insulation level (without insulation ... fully insulated),Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Insulation,insulation,B_interior,other,ordinal category,0.014,,,,,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Ordinal insulation level (without insulation ... fully insulated),Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Insulation,insulation,B_interior,other,ordinal category,0.048,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Ordinal insulation level (without insulation ... fully insulated),Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Surface area (m2),living_area,A_structural,level,m2,0.529,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Surface area (m2),living_area,A_structural,level,m2,0.006,,,,,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Surface area (m2),living_area,A_structural,level,m2,0.371,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Surface area (m2),living_area,A_structural,level,m2,0.078,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Surface area (m2),living_area,A_structural,level,m2,0.313,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Surface area (m2),living_area,A_structural,level,m2,0.036,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Number of toilets,bathrooms,A_structural,level,count,0.092,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of toilets used as bathroom count proxy,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Number of toilets,bathrooms,A_structural,level,count,0.036,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of toilets used as bathroom count proxy,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Number of toilets,bathrooms,A_structural,level,count,0.097,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of toilets used as bathroom count proxy,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Number of toilets,bathrooms,A_structural,level,count,0.032,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of toilets used as bathroom count proxy,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Number of toilets,bathrooms,A_structural,level,count,0.054,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of toilets used as bathroom count proxy,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Number of toilets,bathrooms,A_structural,level,count,0.019,,,,,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of toilets used as bathroom count proxy,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Garden area (m2),garden,C_exterior,level,m2,0.004,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Garden area (m2),garden,C_exterior,level,m2,0.006,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Garden area (m2),garden,C_exterior,level,m2,0.008,,,,,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Garden area (m2),garden,C_exterior,level,m2,0.005,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Garden area (m2),garden,C_exterior,level,m2,0.099,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Garden area (m2),garden,C_exterior,level,m2,0.091,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Number of balconies,terrace_balcony,C_exterior,level,count,0.003,,,,,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Number of balconies,terrace_balcony,C_exterior,level,count,0.05,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Number of balconies,terrace_balcony,C_exterior,level,count,0.094,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Number of balconies,terrace_balcony,C_exterior,level,count,0.056,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Number of balconies,terrace_balcony,C_exterior,level,count,0.048,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Number of balconies,terrace_balcony,C_exterior,level,count,0.025,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Garage,garage,A_structural,binary,binary,0.107,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Garage,garage,A_structural,binary,binary,0.141,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Garage,garage,A_structural,binary,binary,0.243,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Garage,garage,A_structural,binary,binary,0.176,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Garage,garage,A_structural,binary,binary,0.016,,,,,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Garage,garage,A_structural,binary,binary,0.192,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Distance to nearest CBD (Km),cbd_distance,D_location,level,km,-0.542,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Distance to nearest CBD (Km),cbd_distance,D_location,level,km,-0.583,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Distance to nearest CBD (Km),cbd_distance,D_location,level,km,-0.231,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Distance to nearest CBD (Km),cbd_distance,D_location,level,km,-0.05,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Distance to nearest CBD (Km),cbd_distance,D_location,level,km,-0.205,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Distance to nearest CBD (Km),cbd_distance,D_location,level,km,-0.222,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Distance to nearest arterial road (Km),highway_distance,D_location,level,km,-0.06,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Distance to nearest arterial road (Km),highway_distance,D_location,level,km,-0.061,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Distance to nearest arterial road (Km),highway_distance,D_location,level,km,-0.067,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Distance to nearest arterial road (Km),highway_distance,D_location,level,km,-0.095,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Distance to nearest arterial road (Km),highway_distance,D_location,level,km,-0.022,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Distance to nearest arterial road (Km),highway_distance,D_location,level,km,-0.011,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Distance to the built-up area,other,other,binary,binary,-0.551,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Dummy: inside vs outside built-up area (printed name 'Distance to the built-up area'),Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Distance to the built-up area,other,other,binary,binary,-0.615,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Dummy: inside vs outside built-up area (printed name 'Distance to the built-up area'),Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Distance to the built-up area,other,other,binary,binary,-0.195,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Dummy: inside vs outside built-up area (printed name 'Distance to the built-up area'),Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Distance to the built-up area,other,other,binary,binary,-0.025,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Dummy: inside vs outside built-up area (printed name 'Distance to the built-up area'),Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Distance to the built-up area,other,other,binary,binary,-0.241,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Dummy: inside vs outside built-up area (printed name 'Distance to the built-up area'),Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Distance to the built-up area,other,other,binary,binary,-0.233,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Dummy: inside vs outside built-up area (printed name 'Distance to the built-up area'),Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Available Land (ha),other,other,level,ha,0.638,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Available land in neighbourhood (hectares),Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Available Land (ha),other,other,level,ha,0.441,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Available land in neighbourhood (hectares),Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Available Land (ha),other,other,level,ha,0.064,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Available land in neighbourhood (hectares),Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Available Land (ha),other,other,level,ha,0.209,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Available land in neighbourhood (hectares),Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Available Land (ha),other,other,level,ha,0.213,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Available land in neighbourhood (hectares),Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Available Land (ha),other,other,level,ha,0.037,,,,,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Available land in neighbourhood (hectares),Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Land-use density (per km2),density,F_neighbourhood,level,per_km2,0.485,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses, offices, schools and shopping facilities per km2 (land-use density, not population)",Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Land-use density (per km2),density,F_neighbourhood,level,per_km2,-0.06,,,,,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses, offices, schools and shopping facilities per km2 (land-use density, not population)",Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Land-use density (per km2),density,F_neighbourhood,level,per_km2,0.404,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses, offices, schools and shopping facilities per km2 (land-use density, not population)",Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Land-use density (per km2),density,F_neighbourhood,level,per_km2,0.095,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses, offices, schools and shopping facilities per km2 (land-use density, not population)",Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Land-use density (per km2),density,F_neighbourhood,level,per_km2,0.309,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses, offices, schools and shopping facilities per km2 (land-use density, not population)",Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Land-use density (per km2),density,F_neighbourhood,level,per_km2,0.346,,,,***,,,medium,"STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses, offices, schools and shopping facilities per km2 (land-use density, not population)",Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Number of houses,other,other,level,count,-0.195,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Number of houses,other,other,level,count,-0.099,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Number of houses,other,other,level,count,-0.048,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Number of houses,other,other,level,count,-0.123,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Number of houses,other,other,level,count,-0.03,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Number of houses,other,other,level,count,-0.096,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of houses in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Number of business locations,neighbourhood_amenities,F_neighbourhood,level,count,0.136,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of business locations in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Number of business locations,neighbourhood_amenities,F_neighbourhood,level,count,0.112,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of business locations in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Number of business locations,neighbourhood_amenities,F_neighbourhood,level,count,0.099,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of business locations in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Number of business locations,neighbourhood_amenities,F_neighbourhood,level,count,0.077,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of business locations in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Number of business locations,neighbourhood_amenities,F_neighbourhood,level,count,0.093,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of business locations in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Number of business locations,neighbourhood_amenities,F_neighbourhood,level,count,0.167,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of business locations in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Population density (per km2),density,F_neighbourhood,level,per_km2,0.142,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Population density (per km2),density,F_neighbourhood,level,per_km2,0.158,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Population density (per km2),density,F_neighbourhood,level,per_km2,0.294,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Population density (per km2),density,F_neighbourhood,level,per_km2,0.16,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Population density (per km2),density,F_neighbourhood,level,per_km2,0.01,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Population density (per km2),density,F_neighbourhood,level,per_km2,0.041,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed.,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Number of Immigrants,demographics,F_neighbourhood,level,count,0.058,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number (not share) of immigrants in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Number of Immigrants,demographics,F_neighbourhood,level,count,0.035,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number (not share) of immigrants in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Number of Immigrants,demographics,F_neighbourhood,level,count,0.132,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number (not share) of immigrants in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Number of Immigrants,demographics,F_neighbourhood,level,count,0.097,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number (not share) of immigrants in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Number of Immigrants,demographics,F_neighbourhood,level,count,0.038,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number (not share) of immigrants in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Number of Immigrants,demographics,F_neighbourhood,level,count,0.127,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number (not share) of immigrants in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Number of cars,other,other,level,count,-0.583,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of cars in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Number of cars,other,other,level,count,-0.488,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of cars in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Number of cars,other,other,level,count,-0.213,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of cars in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Number of cars,other,other,level,count,-0.088,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of cars in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Number of cars,other,other,level,count,-0.274,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of cars in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Number of cars,other,other,level,count,-0.095,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. Number of cars in neighbourhood,Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c1,2,1,13,Interaction (Time*Group),transit_distance,D_location,other,binary,-0.188,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. DID treatment effect: post-opening x within catchment zone of RandstadRail station (interaction term),Transaction price (euro/m2),per_m2,OLS,31072.0,0.828,none,"Berkel Westpolder station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c2,2,2,13,Interaction (Time*Group),transit_distance,D_location,other,binary,0.332,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. DID treatment effect: post-opening x within catchment zone of RandstadRail station (interaction term),Transaction price (euro/m2),per_m2,OLS,31072.0,0.76,none,"Berkel Westpolder station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=12492 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c3,2,3,13,Interaction (Time*Group),transit_distance,D_location,other,binary,-0.115,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. DID treatment effect: post-opening x within catchment zone of RandstadRail station (interaction term),Transaction price (euro/m2),per_m2,OLS,31072.0,0.698,none,"Pijnacker Zuid station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c4,2,4,13,Interaction (Time*Group),transit_distance,D_location,other,binary,0.15,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. DID treatment effect: post-opening x within catchment zone of RandstadRail station (interaction term),Transaction price (euro/m2),per_m2,OLS,31072.0,0.724,none,"Pijnacker Zuid station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=8619 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c5,2,5,13,Interaction (Time*Group),transit_distance,D_location,other,binary,-0.153,,,,**,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. DID treatment effect: post-opening x within catchment zone of RandstadRail station (interaction term),Transaction price (euro/m2),per_m2,OLS,31072.0,0.664,none,"Nootdorp station, catchment zone 1 (<=400 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e,b827a50a5b3fe735ba3475c0514ffecf35e91d7e:T2-c6,2,6,13,Interaction (Time*Group),transit_distance,D_location,other,binary,0.258,,,,***,,,medium,STANDARDIZED beta coefficient (Table 2 legend); stars *p=.10 **p=.05 ***p=.01; no SE printed. DID treatment effect: post-opening x within catchment zone of RandstadRail station (interaction term),Transaction price (euro/m2),per_m2,OLS,31072.0,0.651,none,"Nootdorp station, catchment zone 2 (400-800 m) vs control zone 1000-1600 m; DID model; station total N=9961 (zone N not printed)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,LotSize,lot_size,A_structural,log,m2,-0.173,,-3.0,,,,,medium,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,LotSize2,lot_size,A_structural,squared,m2,0.022,,4.62,,,,,medium,Square of ln(LotSize),ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,RurLotSize,lot_size,A_structural,other,m2,-0.025,,-10.28,,,,,medium,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,Age,age,A_structural,log,years,-0.2017,,-11.75,,,,,medium,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,Age2,age,A_structural,squared,years,0.017,,5.75,,,,,medium,Square of ln(Age),ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,Garage,garage,A_structural,binary,binary,0.042,,7.21,,,,,medium,Garage dummy,ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,LivingArea,living_area,A_structural,log,m2,0.51,,42.77,,,,,medium,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,DistCBD,cbd_distance,D_location,log,minutes,-0.056,,-3.14,,,,,medium,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M0,2,M0,13,DistCBD2,cbd_distance,D_location,squared,minutes,-0.046,,-13.18,,,,,medium,Square of ln(DistCBD),ln real selling price (1998 NOK),log,OLS,4392.0,0.822,t,M0 base; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,LotSize,lot_size,A_structural,log,m2,-0.204,,-3.62,,,,,medium,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,LotSize2,lot_size,A_structural,squared,m2,0.025,,5.27,,,,,medium,Square of ln(LotSize),ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,RurLotSize,lot_size,A_structural,other,m2,-0.021,,-8.83,,,,,medium,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,Age,age,A_structural,log,years,-0.192,,-11.38,,,,,medium,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,Age2,age,A_structural,squared,years,0.016,,5.23,,,,,medium,Square of ln(Age),ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,Garage,garage,A_structural,binary,binary,0.043,,7.44,,,,,medium,Garage dummy,ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,LivingArea,living_area,A_structural,log,m2,0.505,,42.69,,,,,medium,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,DistCBD,cbd_distance,D_location,log,minutes,-0.104,,-5.36,,,,,medium,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,DistCBD2,cbd_distance,D_location,squared,minutes,-0.027,,-5.84,,,,,medium,Square of ln(DistCBD),ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M1,2,M1,13,ACCESS,employment_access,D_location,log,index,0.064,,6.48,,,,,medium,ln of gravity-based labour market accessibility measure (eq. 2),ln real selling price (1998 NOK),log,OLS,4392.0,0.824,t,M1 = M0 + gravity accessibility; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,LotSize,lot_size,A_structural,log,m2,-0.167,,-2.91,,,,,medium,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,LotSize2,lot_size,A_structural,squared,m2,0.022,,4.55,,,,,medium,Square of ln(LotSize),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,RurLotSize,lot_size,A_structural,other,m2,-0.027,,-10.15,,,,,medium,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,Age,age,A_structural,log,years,-0.205,,-11.84,,,,,medium,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,Age2,age,A_structural,squared,years,0.018,,5.92,,,,,medium,Square of ln(Age),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,Garage,garage,A_structural,binary,binary,0.04,,6.93,,,,,medium,Garage dummy,ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,LivingArea,living_area,A_structural,log,m2,0.51,,42.8,,,,,medium,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,DistCBD,cbd_distance,D_location,log,minutes,-0.043,,-2.28,,,,,medium,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,DistCBD2,cbd_distance,D_location,squared,minutes,-0.051,,-12.22,,,,,medium,Square of ln(DistCBD),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,IN-COM,employment_access,D_location,log,share,-0.03,,-2.06,,,,,medium,"ln of share of jobs in zone held by in-commuters (observed in-commuting), zone level",ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M2,2,M2,13,OUT-COM,employment_access,D_location,log,share,-0.043,,0.03,,,,,low,"ln of share of working population in zone commuting out (observed out-commuting), zone level; printed t-value (0.03) looks inconsistent with coefficient -0.043 (possible typo in source)",ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M2 = M0 + IN-COM, OUT-COM; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,LotSize,lot_size,A_structural,log,m2,-0.203,,-3.55,,,,,medium,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,LotSize2,lot_size,A_structural,squared,m2,0.025,,5.22,,,,,medium,Square of ln(LotSize),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,RurLotSize,lot_size,A_structural,other,m2,-0.023,,-9.64,,,,,medium,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,Age,age,A_structural,log,years,-0.199,,-11.72,,,,,medium,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,Age2,age,A_structural,squared,years,0.017,,5.65,,,,,medium,Square of ln(Age),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,Garage,garage,A_structural,binary,binary,0.042,,7.16,,,,,medium,Garage dummy,ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,LivingArea,living_area,A_structural,log,m2,0.503,,42.66,,,,,medium,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,DistCBD,cbd_distance,D_location,log,minutes,-0.114,,-5.57,,,,,medium,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,DistCBD2,cbd_distance,D_location,squared,minutes,-0.024,,-4.53,,,,,medium,Square of ln(DistCBD),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,ACCESS,employment_access,D_location,log,index,0.096,,7.79,,,,,medium,ln of gravity-based labour market accessibility measure (eq. 2),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,IN-COM,employment_access,D_location,log,share,-0.083,,-4.9,,,,,medium,"ln of share of jobs in zone held by in-commuters (observed in-commuting), zone level",ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M3,2,M3,13,OUT-COM,employment_access,D_location,log,share,0.001,,2.31,,,,,medium,"ln of share of working population in zone commuting out (observed out-commuting), zone level",ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M3 = M2 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,LotSize,lot_size,A_structural,log,m2,-0.177,,-3.1,,,,,medium,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,LotSize2,lot_size,A_structural,squared,m2,0.023,,4.72,,,,,medium,Square of ln(LotSize),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,RurLotSize,lot_size,A_structural,other,m2,-0.025,,-10.11,,,,,medium,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,Age,age,A_structural,log,years,-0.204,,-11.75,,,,,medium,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,Age2,age,A_structural,squared,years,0.018,,5.85,,,,,medium,Square of ln(Age),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,Garage,garage,A_structural,binary,binary,0.042,,7.19,,,,,medium,Garage dummy,ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,LivingArea,living_area,A_structural,log,m2,0.511,,42.99,,,,,medium,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,DistCBD,cbd_distance,D_location,log,minutes,-0.076,,-3.9,,,,,medium,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,DistCBD2,cbd_distance,D_location,squared,minutes,-0.043,,-10.86,,,,,medium,Square of ln(DistCBD),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,MCT,employment_access,D_location,log,minutes,0.393,,2.45,,,,,medium,ln of mean commuting time of residents of the zone (minutes),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M4,2,M4,13,MCT2,employment_access,D_location,squared,minutes,-0.081,,-2.41,,,,,medium,Square of ln(MCT),ln real selling price (1998 NOK),log,OLS,4392.0,0.823,t,"M4 = M0 + MCT, MCT2; year dummies 2004-2007 included (not extracted)"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,LotSize,lot_size,A_structural,log,m2,-0.221,,-3.92,,,,,medium,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,LotSize2,lot_size,A_structural,squared,m2,0.026,,5.59,,,,,medium,Square of ln(LotSize),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,RurLotSize,lot_size,A_structural,other,m2,-0.019,,-8.36,,,,,medium,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,Age,age,A_structural,log,years,-0.196,,-11.47,,,,,medium,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,Age2,age,A_structural,squared,years,0.016,,5.38,,,,,medium,Square of ln(Age),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,Garage,garage,A_structural,binary,binary,0.04,,7.06,,,,,medium,Garage dummy,ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,LivingArea,living_area,A_structural,log,m2,0.504,,42.88,,,,,medium,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,DistCBD,cbd_distance,D_location,log,minutes,-0.171,,-7.4,,,,,medium,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,DistCBD2,cbd_distance,D_location,squared,minutes,-0.015,,-2.85,,,,,medium,Square of ln(DistCBD),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,ACCESS,employment_access,D_location,log,index,0.114,,7.06,,,,,medium,ln of gravity-based labour market accessibility measure (eq. 2),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,MCT,employment_access,D_location,log,minutes,0.399,,2.29,,,,,medium,ln of mean commuting time of residents of the zone (minutes),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T2-M5,2,M5,13,MCT2,employment_access,D_location,squared,minutes,-0.054,,-1.45,,,,,medium,Square of ln(MCT),ln real selling price (1998 NOK),log,OLS,4392.0,0.826,t,M5 = M4 + ACCESS; year dummies 2004-2007 included (not extracted)
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,Lotsize,lot_size,A_structural,log,m2,-0.201,,-6.47,,,,,high,"ln(LotSize); lot size in m2; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,LotSize2,lot_size,A_structural,squared,m2,0.025,,9.69,,,,,high,"Square of ln(LotSize); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,RurLotsize,lot_size,A_structural,other,m2,-0.028,,-8.89,,,,,high,"Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,Age,age,A_structural,log,years,-0.196,,-11.93,,,,,high,"ln(Age) of building (all continuous variables in logarithmic form); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,Age2,age,A_structural,squared,years,0.016,,5.89,,,,,high,"Square of ln(Age); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,Garage,garage,A_structural,binary,binary,0.04,,6.48,,,,,high,"Garage dummy; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,LivingArea,living_area,A_structural,log,m2,0.503,,52.91,,,,,high,"ln(LivingArea); printed as 'Size of house' in Table A.1; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,DistCBD,cbd_distance,D_location,log,minutes,-0.081,,-3.45,,,,,high,"ln(travel time by car to CBD, minutes); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,DistCBD2,cbd_distance,D_location,squared,minutes,-0.024,,-4.2,,,,,high,"Square of ln(DistCBD); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,ACCESS,employment_access,D_location,log,index,0.084,,7.23,,,,,high,"ln of gravity-based labour market accessibility measure (eq. 2); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,IN-COM,employment_access,D_location,log,share,-0.073,,-4.67,,,,,high,"ln of share of jobs in zone held by in-commuters (observed in-commuting), zone level; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-direct,3,M3 direct,17,OUT-COM,employment_access,D_location,log,share,0.04,,2.36,,,,,high,"ln of share of working population in zone commuting out (observed out-commuting), zone level; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,Lotsize,lot_size,A_structural,log,m2,-0.051,,-0.7,,,,,high,"ln(LotSize); lot size in m2; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,LotSize2,lot_size,A_structural,squared,m2,0.013,,2.01,,,,,high,"Square of ln(LotSize); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,RurLotsize,lot_size,A_structural,other,m2,-0.021,,-8.1,,,,,high,"Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,Age,age,A_structural,log,years,-0.158,,-4.13,,,,,high,"ln(Age) of building (all continuous variables in logarithmic form); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,Age2,age,A_structural,squared,years,0.012,,1.84,,,,,high,"Square of ln(Age); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,Garage,garage,A_structural,binary,binary,0.066,,4.7,,,,,high,"Garage dummy; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,LivingArea,living_area,A_structural,log,m2,0.466,,21.11,,,,,high,"ln(LivingArea); printed as 'Size of house' in Table A.1; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,DistCBD,cbd_distance,D_location,log,minutes,-0.153,,-4.86,,,,,high,"ln(travel time by car to CBD, minutes); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,DistCBD2,cbd_distance,D_location,squared,minutes,-0.016,,-1.94,,,,,high,"Square of ln(DistCBD); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,ACCESS,employment_access,D_location,log,index,0.12,,6.99,,,,,high,"ln of gravity-based labour market accessibility measure (eq. 2); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,IN-COM,employment_access,D_location,log,share,-0.136,,-6.18,,,,,high,"ln of share of jobs in zone held by in-commuters (observed in-commuting), zone level; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M3-total,3,M3 total,17,OUT-COM,employment_access,D_location,log,share,0.073,,2.72,,,,,high,"ln of share of working population in zone commuting out (observed out-commuting), zone level; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M3; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,Lotsize,lot_size,A_structural,log,m2,-0.173,,-4.92,,,,,high,"ln(LotSize); lot size in m2; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,LotSize2,lot_size,A_structural,squared,m2,0.024,,8.73,,,,,high,"Square of ln(LotSize); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,RurLotsize,lot_size,A_structural,other,m2,-0.041,,-3.92,,,,,high,"Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,Age,age,A_structural,log,years,-0.161,,-9.39,,,,,high,"ln(Age) of building (all continuous variables in logarithmic form); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,Age2,age,A_structural,squared,years,0.009,,2.95,,,,,high,"Square of ln(Age); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,Garage,garage,A_structural,binary,binary,0.039,,6.78,,,,,high,"Garage dummy; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,LivingArea,living_area,A_structural,log,m2,0.487,,53.64,,,,,high,"ln(LivingArea); printed as 'Size of house' in Table A.1; SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,DistCBD,cbd_distance,D_location,log,minutes,-0.036,,0.4,,,,,high,"ln(travel time by car to CBD, minutes); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,DistCBD2,cbd_distance,D_location,squared,minutes,0.014,,0.37,,,,,high,"Square of ln(DistCBD); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,ACCESS,employment_access,D_location,log,index,0.161,,2.0,,,,,high,"ln of gravity-based labour market accessibility measure (eq. 2); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-direct,3,M5 direct,17,MCT,employment_access,D_location,log,minutes,0.247,,1.8,,,,,high,"ln of mean commuting time of residents of the zone (minutes); SDM direct impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; direct impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,Lotsize,lot_size,A_structural,log,m2,-0.161,,-1.84,,,,,high,"ln(LotSize); lot size in m2; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,LotSize2,lot_size,A_structural,squared,m2,0.02,,2.64,,,,,high,"Square of ln(LotSize); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,RurLotsize,lot_size,A_structural,other,m2,-0.017,,-5.24,,,,,high,"Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,Age,age,A_structural,log,years,-0.285,,-6.22,,,,,high,"ln(Age) of building (all continuous variables in logarithmic form); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,Age2,age,A_structural,squared,years,0.028,,4.13,,,,,high,"Square of ln(Age); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,Garage,garage,A_structural,binary,binary,0.048,,2.86,,,,,high,"Garage dummy; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,LivingArea,living_area,A_structural,log,m2,0.581,,20.94,,,,,high,"ln(LivingArea); printed as 'Size of house' in Table A.1; SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,DistCBD,cbd_distance,D_location,log,minutes,-0.139,,-4.23,,,,,high,"ln(travel time by car to CBD, minutes); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,DistCBD2,cbd_distance,D_location,squared,minutes,-0.019,,-2.66,,,,,high,"Square of ln(DistCBD); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,ACCESS,employment_access,D_location,log,index,0.109,,5.22,,,,,high,"ln of gravity-based labour market accessibility measure (eq. 2); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:T3-M5-total,3,M5 total,17,MCT,employment_access,D_location,log,minutes,0.125,,3.43,,,,,high,"ln of mean commuting time of residents of the zone (minutes); SDM total impact, z-value",ln real selling price (1998 NOK),log,other,4392.0,,t,Spatial Durbin model (k=3 nearest neighbours) variant of M5; total impact summary (LeSage-Pace); z-values in parentheses; MCT2 not reported in this table
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,Lotsize,lot_size,A_structural,log,m2,-0.187,,-6.11,,,,,high,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,LotSize2,lot_size,A_structural,squared,m2,0.024,,9.55,,,,,high,Square of ln(LotSize),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,RurLotsize,lot_size,A_structural,other,m2,-0.025,,-8.76,,,,,high,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,Age,age,A_structural,log,years,-0.1809,,-10.71,,,,,high,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,Age2,age,A_structural,squared,years,0.013,,4.64,,,,,high,Square of ln(Age),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,Garage,garage,A_structural,binary,binary,0.039,,6.71,,,,,high,Garage dummy,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,Size of house,living_area,A_structural,log,m2,0.493,,52.31,,,,,high,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,DistCBD,cbd_distance,D_location,log,minutes,-0.0574,,-2.58,,,,,high,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M0,A.1,M0,22,DistCBD2,cbd_distance,D_location,squared,minutes,-0.047,,-11.06,,,,,high,Square of ln(DistCBD),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M0 base; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,Lotsize,lot_size,A_structural,log,m2,-0.204,,-6.61,,,,,high,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,LotSize2,lot_size,A_structural,squared,m2,0.026,,9.98,,,,,high,Square of ln(LotSize),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,RurLotsize,lot_size,A_structural,other,m2,-0.021,,-7.26,,,,,high,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,Age,age,A_structural,log,years,-0.178,,-10.51,,,,,high,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,Age2,age,A_structural,squared,years,0.012,,4.43,,,,,high,Square of ln(Age),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,Garage,garage,A_structural,binary,binary,0.04,,6.82,,,,,high,Garage dummy,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,Size of house,living_area,A_structural,log,m2,0.491,,52.19,,,,,high,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,DistCBD,cbd_distance,D_location,log,minutes,-0.101,,-4.14,,,,,high,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,DistCBD2,cbd_distance,D_location,squared,minutes,-0.029,,-5.07,,,,,high,Square of ln(DistCBD),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M1,A.1,M1,22,ACCESS,employment_access,D_location,log,index,0.059,,4.36,,,,,high,ln of gravity-based labour market accessibility measure (eq. 2),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M1 = M0 + gravity accessibility; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,Lotsize,lot_size,A_structural,log,m2,-0.183,,-5.94,,,,,high,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,LotSize2,lot_size,A_structural,squared,m2,0.024,,9.39,,,,,high,Square of ln(LotSize),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,RurLotsize,lot_size,A_structural,other,m2,-0.026,,-8.86,,,,,high,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,Age,age,A_structural,log,years,-0.183,,-10.78,,,,,high,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,Age2,age,A_structural,squared,years,0.013,,4.75,,,,,high,Square of ln(Age),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,Garage,garage,A_structural,binary,binary,0.038,,6.59,,,,,high,Garage dummy,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,Size of house,living_area,A_structural,log,m2,0.493,,52.31,,,,,high,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,DistCBD,cbd_distance,D_location,log,minutes,-0.04,,-1.58,,,,,high,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,DistCBD2,cbd_distance,D_location,squared,minutes,-0.053,,-9.17,,,,,high,Square of ln(DistCBD),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,IN-COM,employment_access,D_location,log,share,-0.033,,-1.78,,,,,high,"ln of share of jobs in zone held by in-commuters (observed in-commuting), zone level",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M2,A.1,M2,22,OUT-COM,employment_access,D_location,log,share,-0.006,,-0.22,,,,,high,"ln of share of working population in zone commuting out (observed out-commuting), zone level",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M2 = M0 + IN-COM, OUT-COM; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,Lotsize,lot_size,A_structural,log,m2,-0.202,,-6.56,,,,,high,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,LotSize2,lot_size,A_structural,squared,m2,0.026,,9.99,,,,,high,Square of ln(LotSize),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,RurLotsize,lot_size,A_structural,other,m2,-0.023,,-7.86,,,,,high,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,Age,age,A_structural,log,years,-0.182,,-10.82,,,,,high,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,Age2,age,A_structural,squared,years,0.013,,4.77,,,,,high,Square of ln(Age),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,Garage,garage,A_structural,binary,binary,0.039,,6.7,,,,,high,Garage dummy,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,Size of house,living_area,A_structural,log,m2,0.49,,52.27,,,,,high,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,DistCBD,cbd_distance,D_location,log,minutes,-0.105,,-3.93,,,,,high,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,DistCBD2,cbd_distance,D_location,squared,minutes,-0.028,,-3.96,,,,,high,Square of ln(DistCBD),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,ACCESS,employment_access,D_location,log,index,0.088,,5.81,,,,,high,ln of gravity-based labour market accessibility measure (eq. 2),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,IN-COM,employment_access,D_location,log,share,-0.082,,-4.39,,,,,high,"ln of share of jobs in zone held by in-commuters (observed in-commuting), zone level",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M3,A.1,M3,22,OUT-COM,employment_access,D_location,log,share,0.034,,1.65,,,,,high,"ln of share of working population in zone commuting out (observed out-commuting), zone level",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M3 = M2 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,Lotsize,lot_size,A_structural,log,m2,-0.189,,-6.15,,,,,high,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,LotSize2,lot_size,A_structural,squared,m2,0.024,,9.58,,,,,high,Square of ln(LotSize),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,RurLotsize,lot_size,A_structural,other,m2,-0.025,,-8.73,,,,,high,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,Age,age,A_structural,log,years,-0.182,,-10.78,,,,,high,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,Age2,age,A_structural,squared,years,0.013,,4.75,,,,,high,Square of ln(Age),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,Garage,garage,A_structural,binary,binary,0.039,,6.68,,,,,high,Garage dummy,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,Size of house,living_area,A_structural,log,m2,0.493,,52.47,,,,,high,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,DistCBD,cbd_distance,D_location,log,minutes,-0.074,,-2.96,,,,,high,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,DistCBD2,cbd_distance,D_location,squared,minutes,-0.045,,-9.48,,,,,high,Square of ln(DistCBD),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,MCT,employment_access,D_location,log,minutes,0.315,,1.48,,,,,high,ln of mean commuting time of residents of the zone (minutes),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M4,A.1,M4,22,MCT2,employment_access,D_location,squared,minutes,-0.063,,-1.44,,,,,high,Square of ln(MCT),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M4 = M0 + MCT, MCT2; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,Lotsize,lot_size,A_structural,log,m2,-0.214,,-6.93,,,,,high,ln(LotSize); lot size in m2,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,LotSize2,lot_size,A_structural,squared,m2,0.026,,10.3,,,,,high,Square of ln(LotSize),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,RurLotsize,lot_size,A_structural,other,m2,-0.019,,6.47,,,,,high,Interaction of rural-zone indicator with ln(LotSize) (definition not given in text; inferred from name); printed z-value 6.47 has sign inconsistent with coefficient (likely missing minus sign),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,Age,age,A_structural,log,years,-0.18,,-10.67,,,,,high,ln(Age) of building (all continuous variables in logarithmic form),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,Age2,age,A_structural,squared,years,0.013,,4.6,,,,,high,Square of ln(Age),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,Garage,garage,A_structural,binary,binary,0.039,,6.67,,,,,high,Garage dummy,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,Size of house,living_area,A_structural,log,m2,0.491,,52.36,,,,,high,ln(LivingArea); printed as 'Size of house' in Table A.1,ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,DistCBD,cbd_distance,D_location,log,minutes,-0.163,,-5.71,,,,,high,"ln(travel time by car to CBD, minutes)",ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,DistCBD2,cbd_distance,D_location,squared,minutes,-0.018,,-2.82,,,,,high,Square of ln(DistCBD),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,ACCESS,employment_access,D_location,log,index,0.109,,6.07,,,,,high,ln of gravity-based labour market accessibility measure (eq. 2),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,MCT,employment_access,D_location,log,minutes,0.306,,1.47,,,,,high,ln of mean commuting time of residents of the zone (minutes),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159,b8c37b8ea0a12e9cbed953c9880d16a2673b2159:TA1-M5,A.1,M5,22,MCT2,employment_access,D_location,squared,minutes,-0.035,,-0.8,,,,,high,Square of ln(MCT),ln real selling price (1998 NOK),log,spatial_error,4392.0,,t,"M5 = M4 + ACCESS; spatial error model (k=3 nearest neighbours), z-values in parentheses; lambda 0.36-0.37"
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,parcelarea,lot_size,A_structural,level,m2,-1.24e-05,,,,*,,,high,"proportional land-plot area attributed to the apartment (ideal fraction), m2; '*' = p<0.01","ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,parcelarea,lot_size,A_structural,level,m2,-1.26e-05,,,,*,,,high,"proportional land-plot area attributed to the apartment (ideal fraction), m2; '*' = p<0.01","ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,income,income,F_neighbourhood,level,multiples of Brazilian minimum wage,0.012,,,,*,,,high,"mean income of head of family in the census sector, in minimum wages; '*' = p<0.01","ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,income,income,F_neighbourhood,level,multiples of Brazilian minimum wage,0.0118,,,,*,,,high,"mean income of head of family in the census sector, in minimum wages; '*' = p<0.01","ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,vertdens,density,F_neighbourhood,level,index,0.183,,,,*,,,high,"verticalization density (concentration of units in neighbourhood), 0-1; '*' = p<0.01","ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,vertdens,density,F_neighbourhood,level,index,0.1919,,,,*,,,high,"verticalization density (concentration of units in neighbourhood), 0-1; '*' = p<0.01","ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,distpv,neighbourhood_amenities,F_neighbourhood,level,m,-8.4e-06,,,0.0137,,,,high,nearest distance to main urban amenities; p-value printed in parentheses,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,distpv,neighbourhood_amenities,F_neighbourhood,level,m,-1.09e-05,,,0.1556,,,,high,nearest distance to main urban amenities; p-value printed in parentheses,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,distassp,other,other,level,m,4.88e-05,,,,*,,,high,distance to the nearest precarious settlement (informal settlement); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,distassp,other,other,level,m,3.93e-05,,,,*,,,high,distance to the nearest precarious settlement (informal settlement); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,distbm,water_proximity,E_environment,level,m,-1.34e-05,,,,*,,,high,distance to the beach (north of the city); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,distbm,water_proximity,E_environment,level,m,-1.49e-05,,,,*,,,high,distance to the beach (north of the city); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,elev,accessibility,B_interior,binary,binary,0.0372,,,,*,,,high,presence of elevator(s); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,elev,accessibility,B_interior,binary,binary,0.0488,,,,*,,,high,presence of elevator(s); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,pool,pool,C_exterior,binary,binary,0.1085,,,,*,,,high,; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,pool,pool,C_exterior,binary,binary,0.0938,,,,*,,,high,; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,nfloors,storeys,A_structural,level,count,0.0104,,,,*,,,high,total number of floors in the building; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,nfloors,storeys,A_structural,level,count,0.0103,,,,*,,,high,total number of floors in the building; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,standard3,condition,A_structural,dummy,binary,0.0989,,,,*,,,high,finishing standard 3 (economical); ordinal 1 rustic ... 8 luxury; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,standard3,condition,A_structural,dummy,binary,0.1833,,,,*,,,high,finishing standard 3 (economical); ordinal 1 rustic ... 8 luxury; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,standard4,condition,A_structural,dummy,binary,0.3631,,,,*,,,high,finishing standard 4 (simple); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,standard4,condition,A_structural,dummy,binary,0.3979,,,,*,,,high,finishing standard 4 (simple); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,standard5,condition,A_structural,dummy,binary,0.5058,,,,*,,,high,finishing standard 5 (medium); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,standard5,condition,A_structural,dummy,binary,0.5163,,,,*,,,high,finishing standard 5 (medium); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,standard6,condition,A_structural,dummy,binary,0.689,,,,*,,,high,finishing standard 6 (superior); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,standard6,condition,A_structural,dummy,binary,0.6667,,,,*,,,high,finishing standard 6 (superior); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,standard7,condition,A_structural,dummy,binary,0.8583,,,,*,,,high,finishing standard 7 (fine); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,standard7,condition,A_structural,dummy,binary,0.8574,,,,*,,,high,finishing standard 7 (fine); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,standard8,condition,A_structural,dummy,binary,1.1789,,,,*,,,high,finishing standard 8 (luxury); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,standard8,condition,A_structural,dummy,binary,1.1219,,,,*,,,high,finishing standard 8 (luxury); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,bedroom,bedrooms,A_structural,level,count,0.0084,,,0.0015,,,,high,; p-value printed in parentheses,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,bedroom,bedrooms,A_structural,level,count,0.0163,,,,*,,,high,; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,garage,garage,A_structural,level,count,0.0317,,,,*,,,high,number of garage spaces; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,garage,garage,A_structural,level,count,0.0305,,,,*,,,high,number of garage spaces; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,ln_privarea,living_area,A_structural,log,m2,0.368,,,,*,,,high,private (exclusive) area of the apartment; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,ln_privarea,living_area,A_structural,log,m2,0.367,,,,*,,,high,private (exclusive) area of the apartment; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,ln_totalarea,other,other,log,m2,0.3021,,,,*,,,high,ln_totalarea: total area incl. share of common areas (second area measure alongside private area); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,ln_totalarea,other,other,log,m2,0.3061,,,,*,,,high,ln_totalarea: total area incl. share of common areas (second area measure alongside private area); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,lastfloor,floor_level,A_structural,dummy,binary,0.0689,,,,*,,,high,top-floor dummy; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,lastfloor,floor_level,A_structural,dummy,binary,0.0799,,,,*,,,high,top-floor dummy; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,floor,floor_level,A_structural,level,count,0.0065,,,,*,,,high,apartment floor; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,floor,floor_level,A_structural,level,count,0.0065,,,,*,,,high,apartment floor; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,age,age,A_structural,level,years,-0.0097,,,,*,,,high,; '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,age,age,A_structural,level,years,-0.0098,,,,*,,,high,; '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,sale,other,other,binary,binary,-0.0626,,,,*,,,high,sale: effective sale dummy (transaction vs other record types); '*' = p<0.01,"ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,sale,other,other,binary,binary,-0.0759,,,,*,,,high,sale: effective sale dummy (transaction vs other record types); '*' = p<0.01,"ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-MRA,A1,MRA (OLS),16,listing,other,other,binary,binary,0.0528,,,,*,,,high,"listing: asking-price dummy (1 = list price, 0 = sale price); '*' = p<0.01","ln(price, BRL)",log,OLS,32688.0,0.9386,p,Training set
b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7,b922ab81201881b47779769df9e76de174e13df7:TA1-SER,A1,SER (GMM),16,listing,other,other,binary,binary,0.0407,,,,*,,,high,"listing: asking-price dummy (1 = list price, 0 = sale price); '*' = p<0.01","ln(price, BRL)",log,spatial_error,32688.0,0.938,p,Training set; lambda = 0.6389*
ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f:EQ1-c1,text equation p.5,1,5,AGE_YR,age,A_structural,level,years,-0.515,,,,,,,medium,"age of the building at sale in years; USD per sqft; no SE/t printed, text says variables were statistically significant",PPSQFT00: sale price per square foot adjusted to 2000 value (USD/sqft),per_m2,OLS,145.0,0.622,none,"homogeneous single-family homes, 1997-2000"
ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f:EQ1-c1,text equation p.5,1,5,CONST_VENEER,roof_materials,A_structural,binary,binary,16.595,,,,,,,medium,"at least 85% of exterior is brick veneer; USD per sqft; no SE/t printed, text says variables were statistically significant",PPSQFT00: sale price per square foot adjusted to 2000 value (USD/sqft),per_m2,OLS,145.0,0.622,none,"homogeneous single-family homes, 1997-2000"
ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f:EQ1-c1,text equation p.5,1,5,CONST_FRAME,roof_materials,A_structural,binary,binary,15.734,,,,,,,medium,"asbestos / T111 plywood siding; USD per sqft; no SE/t printed, text says variables were statistically significant",PPSQFT00: sale price per square foot adjusted to 2000 value (USD/sqft),per_m2,OLS,145.0,0.622,none,"homogeneous single-family homes, 1997-2000"
ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f:EQ1-c1,text equation p.5,1,5,CONST_MIX,roof_materials,A_structural,binary,binary,18.323,,,,,,,medium,"combination of two siding materials; USD per sqft; no SE/t printed, text says variables were statistically significant",PPSQFT00: sale price per square foot adjusted to 2000 value (USD/sqft),per_m2,OLS,145.0,0.622,none,"homogeneous single-family homes, 1997-2000"
ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f,ba6d3043dcfb0e7c6ad45ae35c0629afbc728c5f:EQ1-c1,text equation p.5,1,5,CONST_STUCO,roof_materials,A_structural,binary,binary,37.642,,,,,,,medium,"stucco-paint / sheet sidings; USD per sqft; no SE/t printed, text says variables were statistically significant",PPSQFT00: sale price per square foot adjusted to 2000 value (USD/sqft),per_m2,OLS,145.0,0.622,none,"homogeneous single-family homes, 1997-2000"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,SIZE,living_area,A_structural,level,m2,0.001,,,0.023,**,,,high,House size in square metres; p-value column P>|z|; no SE printed,house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,BEDROOMS,bedrooms,A_structural,level,count,0.065,,,0.0,***,,,high,Number of bedrooms; p-value column P>|z|; no SE printed,house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,BATHROOMS,bathrooms,A_structural,level,count,0.003,,,0.64,,,,high,Number of bathrooms; p-value column P>|z|; no SE printed,house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,CENTER,cbd_distance,D_location,level,km,-0.02,,,0.0,***,,,high,Distance to the city centre in kilometres; p-value column P>|z|; no SE printed,house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,TYPE,garden,C_exterior,dummy,binary,0.048,,,0.036,**,,,high,1 if the house has a garden; p-value column P>|z|; no SE printed,house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,POOL,pool,C_exterior,dummy,binary,0.002,,,0.709,,,,high,1 if the house has amenities such as a hot-tub and/or swimming pool; p-value column P>|z|; no SE printed,house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,PARK,neighbourhood_amenities,F_neighbourhood,dummy,binary,0.187,,,0.0,***,,,high,"1 if local amenities (parks, squares, schools or shopping malls) nearby; p-value column P>|z|; no SE printed",house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2,baaee624057dd67c85185a4177e6d00e5b13c4a2:T4-c1,4,1,8,STRUCTURE,condition,A_structural,dummy,binary,0.05,,,0.0,***,,,high,1 if the structure is new and modern; p-value column P>|z|; no SE printed,house price per square metre (PRICE),per_m2,OLS,205.0,0.8559,p,"All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"
bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478:T5-c1,5,1,11,Area (b01),living_area,A_structural,level,m2,0.0088,0.0003,31.099,0.001,***,,,high,"Transferred (living) house area in m2, grand-mean centred; Level-2 house attribute","ln(sale price, NT$10,000)",log,other,7076.0,,se,"Non-randomly varying slope model; 7,076 repeat sales nested in 3,167 houses; robust SEs"
bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478:T5-c1,5,1,11,Type1 (b02),dwelling_type,A_structural,dummy,binary,0.2395,0.0907,2.641,0.009,***,,,high,Luxury condominium (<=10 floors with elevator) =1; reference = condominium; grand-mean centred dummy,"ln(sale price, NT$10,000)",log,other,7076.0,,se,"Non-randomly varying slope model; 7,076 repeat sales nested in 3,167 houses; robust SEs"
bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478:T5-c1,5,1,11,Type2 (b03),dwelling_type,A_structural,dummy,binary,0.418,0.0698,5.987,0.001,***,,,high,Apartment building (>=11 floors with elevator) =1; reference = condominium; grand-mean centred dummy,"ln(sale price, NT$10,000)",log,other,7076.0,,se,"Non-randomly varying slope model; 7,076 repeat sales nested in 3,167 houses; robust SEs"
bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478:T5-c1,5,1,11,Location (b04),cbd_distance,D_location,dummy,binary,0.5478,0.0571,9.591,0.001,***,,,high,"CBD (13 central districts) =1, suburbs =0; grand-mean centred; positive sign = CBD premium (not a distance)","ln(sale price, NT$10,000)",log,other,7076.0,,se,"Non-randomly varying slope model; 7,076 repeat sales nested in 3,167 houses; robust SEs"
bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478:T5-c1,5,1,11,Age (b30),age,A_structural,level,years,-0.0211,0.003,-7.09,0.001,***,,,high,"House age at time of sale, grand-mean centred; Level-1 variable","ln(sale price, NT$10,000)",log,other,7076.0,,se,"Non-randomly varying slope model; 7,076 repeat sales nested in 3,167 houses; robust SEs"
bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478,bbc85c0376ef4c6974813a189124a40708684478:T5-c1,5,1,11,Age2 (b40),age,A_structural,squared,years,0.0005,7e-05,6.925,0.001,***,,,high,Square of grand-mean-centred house age,"ln(sale price, NT$10,000)",log,other,7076.0,,se,"Non-randomly varying slope model; 7,076 repeat sales nested in 3,167 houses; robust SEs"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-SAR,4,Error SAR,7,date,transaction_timing,G_market,level,month number (1-12) in 2021,82.713,7.158,,,,,,high,Month of transaction in 2021 as a linear trend; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model (k=5 nearest-neighbour weights), total POI density; lambda 0.453, AIC 36254; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-OLS,4,OLS,7,date,transaction_timing,G_market,level,month number (1-12) in 2021,102.824,7.028,,,,,,high,Month of transaction in 2021 as a linear trend; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,"Multiple linear regression, total POI density; AIC 36457; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-SAR,4,Error SAR,7,area,living_area,A_structural,level,m2,-21.749,1.162,,,,,,high,Usable floor area of the dwelling in m2; dependent variable is price per m2; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model (k=5 nearest-neighbour weights), total POI density; lambda 0.453, AIC 36254; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-OLS,4,OLS,7,area,living_area,A_structural,level,m2,-21.072,1.101,,,,,,high,Usable floor area of the dwelling in m2; dependent variable is price per m2; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,"Multiple linear regression, total POI density; AIC 36457; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-SAR,4,Error SAR,7,market,other,other,binary,binary,715.935,73.616,,,,,,high,"Market type: primary (new) = 0, secondary = 1; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model (k=5 nearest-neighbour weights), total POI density; lambda 0.453, AIC 36254; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-OLS,4,OLS,7,market,other,other,binary,binary,450.83,55.709,,,,,,high,"Market type: primary (new) = 0, secondary = 1; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,"Multiple linear regression, total POI density; AIC 36457; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-SAR,4,Error SAR,7,floor,floor_level,A_structural,other,index,46.24,23.775,,0.052,,,,high,"Floor location favourability: unfavourable = 1, average = 2, favourable = 3 (ordinal, entered linearly)","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model (k=5 nearest-neighbour weights), total POI density; lambda 0.453, AIC 36254; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-OLS,4,OLS,7,floor,floor_level,A_structural,other,index,70.138,25.655,,0.006,,,,high,"Floor location favourability: unfavourable = 1, average = 2, favourable = 3 (ordinal, entered linearly)","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,"Multiple linear regression, total POI density; AIC 36457; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-SAR,4,Error SAR,7,high,storeys,A_structural,dummy,binary,116.94,67.993,,0.085,,,,high,"Building over five storeys = 1, up to five = 0 (building height dummy)","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model (k=5 nearest-neighbour weights), total POI density; lambda 0.453, AIC 36254; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-OLS,4,OLS,7,high,storeys,A_structural,dummy,binary,272.109,49.65,,,,,,high,"Building over five storeys = 1, up to five = 0 (building height dummy); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,"Multiple linear regression, total POI density; AIC 36457; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-SAR,4,Error SAR,7,year,age,A_structural,other,decades since 1940,214.661,15.342,,,,,,high,"Year of construction expressed in decades since 1940 (construction period, not age; higher = newer); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model (k=5 nearest-neighbour weights), total POI density; lambda 0.453, AIC 36254; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-OLS,4,OLS,7,year,age,A_structural,other,decades since 1940,207.272,10.999,,,,,,high,"Year of construction expressed in decades since 1940 (construction period, not age; higher = newer); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,"Multiple linear regression, total POI density; AIC 36457; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-SAR,4,Error SAR,7,POI,neighbourhood_amenities,F_neighbourhood,level,count per km2,0.823,0.178,,,,,,high,"Total density of all points of interest (POI per km2, kernel density, 200 m bandwidth) at the transaction location; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model (k=5 nearest-neighbour weights), total POI density; lambda 0.453, AIC 36254; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T4-OLS,4,OLS,7,POI,neighbourhood_amenities,F_neighbourhood,level,count per km2,0.492,0.109,,,,,,high,"Total density of all points of interest (POI per km2, kernel density, 200 m bandwidth) at the transaction location; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,"Multiple linear regression, total POI density; AIC 36457; SE and p-value printed in columns"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,date,transaction_timing,G_market,level,month number (1-12) in 2021,85.124,7.13,,,,,,high,Month of transaction in 2021 as a linear trend; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,date,transaction_timing,G_market,level,month number (1-12) in 2021,104.491,7.004,,,,,,high,Month of transaction in 2021 as a linear trend; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,area,living_area,A_structural,level,m2,-21.999,1.163,,,,,,high,Usable floor area of the dwelling in m2; dependent variable is price per m2; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,area,living_area,A_structural,level,m2,-21.548,1.126,,,,,,high,Usable floor area of the dwelling in m2; dependent variable is price per m2; p-value printed as '< 0.001',"transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,market,other,other,binary,binary,794.159,74.517,,,,,,high,"Market type: primary (new) = 0, secondary = 1; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,market,other,other,binary,binary,597.354,58.487,,,,,,high,"Market type: primary (new) = 0, secondary = 1; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,floor,floor_level,A_structural,other,index,47.938,23.671,,0.043,,,,high,"Floor location favourability: unfavourable = 1, average = 2, favourable = 3 (ordinal, entered linearly)","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,floor,floor_level,A_structural,other,index,72.536,25.238,,0.004,,,,high,"Floor location favourability: unfavourable = 1, average = 2, favourable = 3 (ordinal, entered linearly)","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,high,storeys,A_structural,dummy,binary,103.195,67.361,,0.125,,,,high,"Building over five storeys = 1, up to five = 0 (building height dummy)","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,high,storeys,A_structural,dummy,binary,252.588,51.323,,,,,,high,"Building over five storeys = 1, up to five = 0 (building height dummy); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,year,age,A_structural,other,decades since 1940,227.864,15.581,,,,,,high,"Year of construction expressed in decades since 1940 (construction period, not age; higher = newer); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,year,age,A_structural,other,decades since 1940,229.437,11.984,,,,,,high,"Year of construction expressed in decades since 1940 (construction period, not age; higher = newer); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,motorisation,other,other,level,count per km2,18.132,6.297,,0.003,,,,high,"POI density per km2: car dealership, car rental, car wash, parking","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,motorisation,other,other,level,count per km2,14.906,4.288,,,,,,high,"POI density per km2: car dealership, car rental, car wash, parking; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,culture,neighbourhood_amenities,F_neighbourhood,level,count per km2,6.568,4.176,,0.116,,,,high,"POI density per km2: culture and entertainment (cinema, library, museum, theatre, monuments...)","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,culture,neighbourhood_amenities,F_neighbourhood,level,count per km2,2.854,3.334,,0.392,,,,high,"POI density per km2: culture and entertainment (cinema, library, museum, theatre, monuments...)","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,education,other,other,level,count per km2,1.299,3.202,,0.685,,,,high,"POI density per km2: education (college, kindergarten, school, university); density, not distance","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,education,other,other,level,count per km2,-2.394,2.423,,0.323,,,,high,"POI density per km2: education (college, kindergarten, school, university); density, not distance","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,finances,other,other,level,count per km2,1.337,3.395,,0.694,,,,high,"POI density per km2: ATM, bank","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,finances,other,other,level,count per km2,1.991,2.509,,0.428,,,,high,"POI density per km2: ATM, bank","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,gastronomy,neighbourhood_amenities,F_neighbourhood,level,count per km2,0.585,1.426,,0.681,,,,high,"POI density per km2: bar, cafe, fast food, pub, restaurant","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,gastronomy,neighbourhood_amenities,F_neighbourhood,level,count per km2,2.14,1.216,,0.079,,,,high,"POI density per km2: bar, cafe, fast food, pub, restaurant","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,health,other,other,level,count per km2,0.703,3.022,,0.816,,,,high,"POI density per km2: health (beauty shop, dentist, doctors, hospital, pharmacy...); density, not distance","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,health,other,other,level,count per km2,0.388,2.211,,0.861,,,,high,"POI density per km2: health (beauty shop, dentist, doctors, hospital, pharmacy...); density, not distance","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,offices,other,other,level,count per km2,61.787,18.474,,0.001,,,,high,"POI density per km2: courthouse, public building, town hall","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,offices,other,other,level,count per km2,69.045,15.823,,,,,,high,"POI density per km2: courthouse, public building, town hall; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,recreation,neighbourhood_amenities,F_neighbourhood,level,count per km2,1.125,0.197,,,,,,high,"POI density per km2: sport and recreation (park, playground, pitch, swimming pool, viewpoint...); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,recreation,neighbourhood_amenities,F_neighbourhood,level,count per km2,0.642,0.124,,,,,,high,"POI density per km2: sport and recreation (park, playground, pitch, swimming pool, viewpoint...); p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,religion,other,other,level,count per km2,-0.287,14.493,,0.984,,,,high,"POI density per km2: graveyard, wayside cross, wayside shrine","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,religion,other,other,level,count per km2,-18.441,10.246,,0.072,,,,high,"POI density per km2: graveyard, wayside cross, wayside shrine","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,security,public_services,F_neighbourhood,level,count per km2,-0.644,1.552,,0.678,,,,high,"POI density per km2: camera surveillance, fire station, police, prison","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,security,public_services,F_neighbourhood,level,count per km2,0.012,1.242,,0.993,,,,high,"POI density per km2: camera surveillance, fire station, police, prison","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,services,commercial_distance,D_location,level,count per km2,-4.025,1.552,,0.009,,,,high,"POI density per km2: retail and services (shops, supermarket, mall, hairdresser...); density, not distance","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,services,commercial_distance,D_location,level,count per km2,-4.798,1.169,,,,,,high,"POI density per km2: retail and services (shops, supermarket, mall, hairdresser...); density, not distance; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,telecom,other,other,level,count per km2,10.426,3.479,,0.003,,,,high,"POI density per km2: post box, post office","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,telecom,other,other,level,count per km2,15.023,2.523,,,,,,high,"POI density per km2: post box, post office; p-value printed as '< 0.001'","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,tourism,other,other,level,count per km2,18.128,11.529,,0.118,,,,high,"POI density per km2: campsite, castle, hostel, hotel, tourist info","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,tourism,other,other,level,count per km2,10.477,8.697,,0.228,,,,high,"POI density per km2: campsite, castle, hostel, hotel, tourist info","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-SAR,5,Error SAR,7,other,hazard_site,E_environment,level,count per km2,-4.726,2.44,,0.053,,,,high,"POI density per km2: other (recycling, toilet, tower, wastebasket, wastewater plant)","transaction price per m2 of dwelling, PLN/m2",per_m2,spatial_error,2182.0,,none,"Spatial error model with 14 POI category densities; lambda 0.416, AIC 36233"
bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89,bc3577b4d2c3cc062519a4199d4f0a8834e89c89:T5-OLS,5,OLS,7,other,hazard_site,E_environment,level,count per km2,-5.022,1.782,,0.005,,,,high,"POI density per km2: other (recycling, toilet, tower, wastebasket, wastewater plant)","transaction price per m2 of dwelling, PLN/m2",per_m2,OLS,2182.0,,none,OLS with 14 POI category densities; AIC 36388 (decimal commas in source converted to points)
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Higher degree,education_level,F_neighbourhood,level,share,0.011,,,,‡,,,medium,Ratio (%) of residents aged 15+ with a higher degree; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Higher degree,education_level,F_neighbourhood,level,share,0.011,,,,‡,,,medium,Ratio (%) of residents aged 15+ with a higher degree; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Year,age,A_structural,other,years,0.011,,,,‡,,,medium,"Construction year of the apartment (year built, not age; positive sign = newer buildings dearer); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Year,age,A_structural,other,years,0.011,,,,‡,,,medium,"Construction year of the apartment (year built, not age; positive sign = newer buildings dearer); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Parking,parking,A_structural,level,count,0.168,,,,‡,,,medium,Parking spaces per household in the complex; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Parking,parking,A_structural,level,count,0.168,,,,‡,,,medium,Parking spaces per household in the complex; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Area,living_area,A_structural,level,m2,-0.002,,,,‡,,,medium,Unit size in m2 (negative coefficient as printed); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Area,living_area,A_structural,level,m2,-0.002,,,,‡,,,medium,Unit size in m2 (negative coefficient as printed); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Households,other,other,level,count,5.4e-05,,,,‡,,,medium,Number of households in the apartment complex; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Households,other,other,level,count,5.4e-05,,,,‡,,,medium,Number of households in the apartment complex; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,CBD,cbd_distance,D_location,level,m,-1e-05,,,,‡,,,medium,Network distance to city hall (CBD) in metres; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,CBD,cbd_distance,D_location,level,m,-1e-05,,,,‡,,,medium,Network distance to city hall (CBD) in metres; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Floor,floor_level,A_structural,level,count,0.005,,,,‡,,,medium,Floor level of the unit; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Floor,floor_level,A_structural,level,count,0.005,,,,‡,,,medium,Floor level of the unit; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Greenspace,green_space,E_environment,log,m,0.03,,,,‡,,,medium,"log network distance (m) to nearest park, hill or mountain (positive sign as printed); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Greenspace,green_space,E_environment,log,m,0.031,,,,‡,,,medium,"log network distance (m) to nearest park, hill or mountain (positive sign as printed); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Waterfront,water_proximity,E_environment,log,m,-0.02,,,,‡,,,medium,"log network distance (m) to nearest river, stream, pond or seashore; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Waterfront,water_proximity,E_environment,log,m,-0.02,,,,‡,,,medium,"log network distance (m) to nearest river, stream, pond or seashore; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Subway,transit_distance,D_location,log,m,-0.016,,,,‡,,,medium,log network distance (m) to nearest subway station; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Subway,transit_distance,D_location,log,m,-0.016,,,,‡,,,medium,log network distance (m) to nearest subway station; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Top school,school_quality,F_neighbourhood,level,count,-0.006,,,,‡,,,medium,Number of Seoul National University entrants from high schools within 5 km; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Top school,school_quality,F_neighbourhood,level,count,-0.006,,,,‡,,,medium,Number of Seoul National University entrants from high schools within 5 km; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Spring,transaction_timing,G_market,binary,binary,-0.03,,,,‡,,,medium,Seasonal dummy (March-May); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Spring,transaction_timing,G_market,binary,binary,-0.03,,,,‡,,,medium,Seasonal dummy (March-May); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Fall,transaction_timing,G_market,binary,binary,0.021,,,,‡,,,medium,Seasonal dummy (September-November); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Fall,transaction_timing,G_market,binary,binary,0.022,,,,‡,,,medium,Seasonal dummy (September-November); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Winter,transaction_timing,G_market,binary,binary,-0.026,,,,‡,,,medium,Seasonal dummy (December-February); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Winter,transaction_timing,G_market,binary,binary,-0.026,,,,‡,,,medium,Seasonal dummy (December-February); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Pop. density,density,F_neighbourhood,level,per_km2,2e-06,,,,‡,,,medium,People per km2; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Pop. density,density,F_neighbourhood,level,per_km2,2e-06,,,,‡,,,medium,People per km2; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones),ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Heating type,heating,A_structural,binary,binary,-0.009,,,,‡,,,medium,"1 = city gas heating, 0 otherwise; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Heating type,heating,A_structural,binary,binary,-0.007,,,,‡,,,medium,"1 = city gas heating, 0 otherwise; '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c1,6,1,16,Bus count,transit_distance,D_location,level,count,0.00058,,,,‡,,,medium,"Number of bus stops within 400 m (count, not distance); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,OLS,61152.0,,none,"OLS hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28,bc5c2c3c86f1f45909dcce75c8f09acff914dd28:T6-c2,6,2,16,Bus count,transit_distance,D_location,level,count,0.00057,,,,‡,,,medium,"Number of bus stops within 400 m (count, not distance); '‡' indicates significance at the 1% level; no SE or t printed; coefficients rounded to 3 decimals (scientific notation for small ones)",ln transacted condominium price,log,spatial_lag,61152.0,,none,"SLR hedonic price model, Busan condominium transactions 2015 (dataset of Song et al. 2021); Table 6 reports coefficients with '‡' = significant at 1% only, no SE/t; unclear whether estimated on the full sample (61,152) or the 70% training split; seasonal dummies included (Spring/Fall/Winter)"
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,FLAREA,other,other,level,"m2 (grand floor area of urban renewal project, Level 2)",0.001,0.001,8.803,,***,,,medium,Level-2 urban renewal project scale; coefficient rounded to 3 decimals,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,AREA,living_area,A_structural,level,ping (1 ping = 3.306 m2),0.001,0.001,6.831,,***,,,medium,registered house area; coefficient rounded to 3 decimals,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,AGE,age,A_structural,level,years,-0.012,0.001,-18.253,,***,,,high,house age; squared term AGES also included,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,AGES,age,A_structural,squared,years squared,0.0002,0.001,18.743,,***,,,medium,"square of house age; text says 0.001, table prints 0.0002",ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,ROOM,bedrooms,A_structural,level,count,-0.016,0.003,-5.233,,***,,,high,number of rooms (bedrooms),ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,LIVROOM,other,other,level,count,0.024,0.005,4.312,,***,,,high,number of living rooms,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,BATH,bathrooms,A_structural,level,count,0.049,0.005,10.971,,***,,,high,,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,FLOOR1,floor_level,A_structural,dummy,binary,0.167,0.008,20.975,,***,,,high,dummy = 1 if house is on the first (ground) floor,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,BUILDING,dwelling_type,A_structural,dummy,binary,0.197,0.007,29.409,,***,,,high,high-rise residential building vs apartment building (reference),ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,HUAXIA,dwelling_type,A_structural,dummy,binary,0.174,0.006,28.168,,***,,,high,low-rise residential building (huaxia) vs apartment building (reference),ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,PARKING,parking,A_structural,binary,binary,-0.065,0.006,-10.403,,***,,,high,availability of parking lot(s),ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,DISURBA,cbd_distance,D_location,level,m,-0.001,0.001,-6.099,,***,,,medium,distance to city centre (DISTURBA in Table 2); coefficient rounded to 3 decimals,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,PRIM,school_distance,D_location,level,m,0.001,0.001,10.814,,***,,,medium,distance to nearest elementary school; rounded,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,JUNI,school_distance,D_location,level,m,-0.001,0.001,-1.775,,*,,,medium,distance to nearest junior high school; rounded,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,MRT,transit_distance,D_location,level,m,-0.001,0.001,-39.312,,***,,,medium,distance to nearest MRT station; rounded,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827,bd42cea5779904b39c488f5e59235573696a2827:T4-c1,4,1,10,TRAIN,transit_distance,D_location,level,m,0.001,0.001,5.638,,***,,,medium,distance to nearest railway station; rounded,ln housing transaction price,log,other,19157.0,,none,Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,LogBLDAGE,age,A_structural,log,years,-0.163,,-3.454,,**,,,high,"building age, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,LogBFLOAREA,living_area,A_structural,log,m2,2.381,,10.627,,***,,,high,"building floor area, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,NBEDROOM,bedrooms,A_structural,level,count,0.025,,0.576,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,NBATROOM,bathrooms,A_structural,level,count,-0.114,,-0.953,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,NFLOORS,storeys,A_structural,level,count,0.031,,3.966,,***,,,high,number of floors,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,GARAGE_YES,garage,A_structural,binary,binary,0.152,,3.468,,**,,,high,,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,BLDCOND_Excellent,condition,A_structural,binary,binary,0.028,,0.892,,,,,high,building condition excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,LSCAPQUA_Excellent,landscaping,C_exterior,binary,binary,0.028,,0.817,,,,,high,landscape quality excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,LogDISCOAST,water_proximity,E_environment,log,m,0.001,,0.009,,,,,high,"distance to coastline, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,LogDISTWORK,employment_access,D_location,log,m,-0.029,,-0.932,,,,,high,"distance to workplace, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,LogDISBSTOP,transit_distance,D_location,log,m,-0.437,,-1.22,,,,,high,"distance to bus stop, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1A,2,1A,54,LogDISTSCH,school_distance,D_location,log,m,-0.002,,-0.04,,,,,high,"distance to school, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,LogBLDAGE,age,A_structural,log,years,-0.098,,-1.3,,,,,high,"building age, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,LogBFLOAREA,living_area,A_structural,log,m2,1.856,,6.04,,***,,,high,"building floor area, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,NBEDROOM,bedrooms,A_structural,level,count,0.071,,1.083,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,NBATROOM,bathrooms,A_structural,level,count,0.105,,0.624,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,NFLOORS,storeys,A_structural,level,count,0.01,,0.803,,,,,high,number of floors,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,GARAGE_YES,garage,A_structural,binary,binary,0.059,,0.851,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,BLDCOND_Excellent,condition,A_structural,binary,binary,-0.007,,-0.162,,,,,high,building condition excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,LSCAPQUA_Excellent,landscaping,C_exterior,binary,binary,0.039,,0.743,,,,,high,landscape quality excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,LogDISCOAST,water_proximity,E_environment,log,m,0.077,,0.359,,,,,high,"distance to coastline, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,LogDISTWORK,employment_access,D_location,log,m,-0.048,,-0.852,,,,,high,"distance to workplace, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,LogDISBSTOP,transit_distance,D_location,log,m,1.074,,0.952,,,,,high,"distance to bus stop, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1B,2,1B,54,LogDISTSCH,school_distance,D_location,log,m,-0.073,,-0.653,,,,,high,"distance to school, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,LogBLDAGE,age,A_structural,log,years,-0.235,,-3.775,,***,,,high,"building age, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,LogBFLOAREA,living_area,A_structural,log,m2,2.672,,8.368,,***,,,high,"building floor area, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,NBEDROOM,bedrooms,A_structural,level,count,0.029,,0.489,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,NBATROOM,bathrooms,A_structural,level,count,-0.252,,-1.471,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,NFLOORS,storeys,A_structural,level,count,0.055,,4.682,,***,,,high,number of floors,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,GARAGE_YES,garage,A_structural,binary,binary,0.183,,3.124,,**,,,high,,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,BLDCOND_Excellent,condition,A_structural,binary,binary,0.02,,0.46,,,,,high,building condition excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,LSCAPQUA_Excellent,landscaping,C_exterior,binary,binary,-0.031,,-0.679,,,,,high,landscape quality excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,LogDISCOAST,water_proximity,E_environment,log,m,0.233,,0.763,,,,,high,"distance to coastline, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,LogDISTWORK,employment_access,D_location,log,m,-0.065,,-1.51,,,,,high,"distance to workplace, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,LogDISBSTOP,transit_distance,D_location,log,m,-0.345,,-0.718,,,,,high,"distance to bus stop, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T2-1C,2,1C,54,LogDISTSCH,school_distance,D_location,log,m,0.023,,0.301,,,,,high,"distance to school, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.637,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,LogBLDAGE,age,A_structural,log,years,-0.162,,-3.44,,**,,,high,"building age, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,LogBFLOAREA,living_area,A_structural,log,m2,2.385,,10.622,,***,,,high,"building floor area, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,NBEDROOM,bedrooms,A_structural,level,count,0.025,,0.569,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,NBATROOM,bathrooms,A_structural,level,count,-0.117,,-0.986,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,NFLOORS,storeys,A_structural,level,count,0.032,,3.975,,***,,,high,number of floors,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,GARAGE_YES,garage,A_structural,binary,binary,0.152,,3.484,,**,,,high,,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,BLDCOND_Excellent,condition,A_structural,binary,binary,0.028,,0.891,,,,,high,building condition excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,LSCAPQUA_Excellent,landscaping,C_exterior,binary,binary,0.028,,0.841,,,,,high,landscape quality excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,Log(DISCOAST*FLODRATE),other,other,log,index,-0.02,,-0.239,,,,,high,interaction: log of distance to coastline x flood rate (coastal disamenity-adjusted distance),"LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,LogDISTWORK,employment_access,D_location,log,m,-0.028,,-0.898,,,,,high,"distance to workplace, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,LogDISBSTOP,transit_distance,D_location,log,m,-0.494,,-1.545,,,,,high,"distance to bus stop, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2A,3,2A,55,LogDISTSCH,school_distance,D_location,log,m,-0.004,,-0.062,,,,,high,"distance to school, log","LogRENT (annual rent, Naira)",log,OLS,318.0,0.571,t,0-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,LogBLDAGE,age,A_structural,log,years,-0.101,,-1.318,,,,,high,"building age, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,LogBFLOAREA,living_area,A_structural,log,m2,1.863,,6.147,,***,,,high,"building floor area, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,NBEDROOM,bedrooms,A_structural,level,count,0.073,,1.116,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,NBATROOM,bathrooms,A_structural,level,count,0.103,,0.612,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,NFLOORS,storeys,A_structural,level,count,0.009,,0.75,,,,,high,number of floors,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,GARAGE_YES,garage,A_structural,binary,binary,0.058,,0.833,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,BLDCOND_Excellent,condition,A_structural,binary,binary,-0.006,,-0.14,,,,,high,building condition excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,LSCAPQUA_Excellent,landscaping,C_exterior,binary,binary,0.044,,0.859,,,,,high,landscape quality excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,Log(DISCOAST*FLODRATE),other,other,log,index,0.047,,0.387,,,,,high,interaction: log of distance to coastline x flood rate (coastal disamenity-adjusted distance),"LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,LogDISTWORK,employment_access,D_location,log,m,-0.051,,-0.91,,,,,high,"distance to workplace, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,LogDISBSTOP,transit_distance,D_location,log,m,1.004,,1.049,,,,,high,"distance to bus stop, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2B,3,2B,55,LogDISTSCH,school_distance,D_location,log,m,-0.079,,-0.751,,,,,high,"distance to school, log","LogRENT (annual rent, Naira)",log,OLS,118.0,0.553,t,0-250 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,LogBLDAGE,age,A_structural,log,years,-0.237,,-3.78,,***,,,high,"building age, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,LogBFLOAREA,living_area,A_structural,log,m2,2.712,,8.395,,***,,,high,"building floor area, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,NBEDROOM,bedrooms,A_structural,level,count,0.017,,0.294,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,NBATROOM,bathrooms,A_structural,level,count,-0.293,,-1.696,,,,,high,,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,NFLOORS,storeys,A_structural,level,count,0.053,,4.602,,***,,,high,number of floors,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,GARAGE_YES,garage,A_structural,binary,binary,0.198,,3.478,,**,,,high,,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,BLDCOND_Excellent,condition,A_structural,binary,binary,0.022,,0.517,,,,,high,building condition excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,LSCAPQUA_Excellent,landscaping,C_exterior,binary,binary,-0.028,,-0.597,,,,,high,landscape quality excellent dummy,"LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,Log(DISCOAST*FLODRATE),other,other,log,index,-0.085,,-0.319,,,,,high,interaction: log of distance to coastline x flood rate (coastal disamenity-adjusted distance),"LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,LogDISTWORK,employment_access,D_location,log,m,-0.052,,-1.241,,,,,high,"distance to workplace, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,LogDISBSTOP,transit_distance,D_location,log,m,-0.687,,-1.525,,,,,high,"distance to bus stop, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd,c0719dfc2e99247adf55e3df25480bbce55099dd:T3-2C,3,2C,55,LogDISTSCH,school_distance,D_location,log,m,0.015,,0.195,,,,,high,"distance to school, log","LogRENT (annual rent, Naira)",log,OLS,200.0,0.635,t,251-500 m from coastline
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Coal Dummy_0.75,hazard_site,E_environment,dummy,binary,-0.154,,,0.0,***,,,high,1 if located within 0.75 mile of an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Coal Dummy_0.75,hazard_site,E_environment,dummy,binary,-0.162,,,0.0,***,,,high,1 if located within 0.75 mile of an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Coal Dummy_0.75~1.00,hazard_site,E_environment,dummy,binary,-0.105,,,0.0,***,,,high,1 if located 0.75-1.00 mile from an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Coal Dummy_0.75~1.00,hazard_site,E_environment,dummy,binary,-0.11,,,0.02,**,,,high,1 if located 0.75-1.00 mile from an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Coal Dummy_1.00~1.25,hazard_site,E_environment,dummy,binary,-0.093,,,0.01,**,,,high,1 if located 1.00-1.25 miles from an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Coal Dummy_1.00~1.25,hazard_site,E_environment,dummy,binary,-0.099,,,0.01,**,,,high,1 if located 1.00-1.25 miles from an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Coal Dummy_1.25~1.50,hazard_site,E_environment,dummy,binary,-0.02,,,0.57,,,,high,1 if located 1.25-1.50 miles from an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Coal Dummy_1.25~1.50,hazard_site,E_environment,dummy,binary,-0.021,,,0.57,,,,high,1 if located 1.25-1.50 miles from an active coal mine,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Building size,living_area,A_structural,level,thousand_sqft,0.214,,,0.0,***,,,high,Size of the house in thousands of square feet (Table 2.2); quadratic term also included,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Building size,living_area,A_structural,level,thousand_sqft,0.225,,,0.0,***,,,high,Size of the house in thousands of square feet (Table 2.2); quadratic term also included,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Building size squared,living_area,A_structural,squared,thousand_sqft,-0.02,,,0.0,***,,,high,Square of building size (thousands of sq ft),log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Building size squared,living_area,A_structural,squared,thousand_sqft,-0.021,,,0.0,***,,,high,Square of building size (thousands of sq ft),log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Lot size,lot_size,A_structural,level,ten_thousand_sqft,0.004,,,0.03,**,,,high,Lot size in tens of thousands of square feet (Table 2.2); quadratic term also included,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Lot size,lot_size,A_structural,level,ten_thousand_sqft,0.004,,,0.03,**,,,high,Lot size in tens of thousands of square feet (Table 2.2); quadratic term also included,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Lot size squared,lot_size,A_structural,squared,ten_thousand_sqft,-0.0,,,0.18,,,,high,Square of lot size (tens of thousands of sq ft); printed as -0.000,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Lot size squared,lot_size,A_structural,squared,ten_thousand_sqft,-0.0,,,0.18,,,,high,Square of lot size (tens of thousands of sq ft); printed as -0.000,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Age,age,A_structural,level,hundred_years,-0.105,,,0.16,,,,high,Age of house at sale in hundreds of years (Table 2.2); quadratic term also included,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Age,age,A_structural,level,hundred_years,-0.11,,,0.17,,,,high,Age of house at sale in hundreds of years (Table 2.2); quadratic term also included,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Age squared,age,A_structural,squared,hundred_years,0.028,,,0.67,,,,high,Square of age (hundreds of years),log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Age squared,age,A_structural,squared,hundred_years,0.075,,,0.36,,,,high,Square of age (hundreds of years),log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Excellent Condition,condition,A_structural,dummy,binary,0.459,,,0.0,***,,,high,Assessor condition = excellent; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Excellent Condition,condition,A_structural,dummy,binary,0.482,,,0.0,***,,,high,Assessor condition = excellent; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Good Condition,condition,A_structural,dummy,binary,0.337,,,0.0,***,,,high,Assessor condition = good; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Good Condition,condition,A_structural,dummy,binary,0.355,,,0.0,***,,,high,Assessor condition = good; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Average Condition,condition,A_structural,dummy,binary,0.249,,,0.0,***,,,high,Assessor condition = average; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Average Condition,condition,A_structural,dummy,binary,0.262,,,0.0,***,,,high,Assessor condition = average; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Fair Condition,condition,A_structural,dummy,binary,-0.026,,,0.75,,,,high,Assessor condition = fair; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Fair Condition,condition,A_structural,dummy,binary,-0.027,,,0.75,,,,high,Assessor condition = fair; omitted category = poor condition,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Bedrooms,bedrooms,A_structural,level,count,0.01,,,0.3,,,,high,Number of bedrooms,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Bedrooms,bedrooms,A_structural,level,count,0.01,,,0.3,,,,high,Number of bedrooms,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Bathrooms,bathrooms,A_structural,level,count,0.029,,,0.01,**,,,high,Number of bathrooms,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Bathrooms,bathrooms,A_structural,level,count,0.03,,,0.01,**,,,high,Number of bathrooms,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Heating,heating,A_structural,dummy,binary,0.044,,,0.33,,,,high,1 if presence of a heating system,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Heating,heating,A_structural,dummy,binary,0.046,,,0.33,,,,high,1 if presence of a heating system,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Fireplace,fireplace,B_interior,dummy,binary,0.028,,,0.06,*,,,high,1 if presence of a fireplace,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Fireplace,fireplace,B_interior,dummy,binary,0.028,,,0.06,*,,,high,1 if presence of a fireplace,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Full Basement,basement,A_structural,dummy,binary,-0.01,,,0.62,,,,high,1 if full basement; omitted category = crawl space,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Full Basement,basement,A_structural,dummy,binary,-0.011,,,0.62,,,,high,1 if full basement; omitted category = crawl space,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Part Basement,basement,A_structural,dummy,binary,-0.004,,,0.86,,,,high,1 if part basement; omitted category = crawl space,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Part Basement,basement,A_structural,dummy,binary,-0.004,,,0.86,,,,high,1 if part basement; omitted category = crawl space,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,No Basement,basement,A_structural,dummy,binary,0.049,,,0.06,*,,,high,1 if no basement; omitted category = crawl space (sign reversed relative to basement presence),log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,No Basement,basement,A_structural,dummy,binary,0.052,,,0.06,*,,,high,1 if no basement; omitted category = crawl space (sign reversed relative to basement presence),log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Urbanized Area Dummy,other,other,dummy,binary,0.058,,,0.0,***,,,high,1 if located in a Census urbanized area (2000 Census),log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Urbanized Area Dummy,other,other,dummy,binary,0.061,,,0.0,***,,,high,1 if located in a Census urbanized area (2000 Census),log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Lake Dummy,water_proximity,E_environment,dummy,binary,0.102,,,0.0,***,,,high,1 if located within 0.10 mile of Cheat Lake,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Lake Dummy,water_proximity,E_environment,dummy,binary,0.122,,,0.0,***,,,high,1 if located within 0.10 mile of Cheat Lake,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,Median Income,income,F_neighbourhood,level,ten_thousand_USD,-0.004,,,0.54,,,,high,Census block-group median household income (1999) in tens of thousands of dollars,log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,Median Income,income,F_neighbourhood,level,ten_thousand_USD,-0.005,,,0.54,,,,high,Census block-group median household income (1999) in tens of thousands of dollars,log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,White,demographics,F_neighbourhood,level,share,0.074,,,0.62,,,,high,Census block-group share of white population (0-1),log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,White,demographics,F_neighbourhood,level,share,0.078,,,0.62,,,,high,Census block-group share of white population (0-1),log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,35,College Graduates,education_level,F_neighbourhood,level,share,-0.03,,,0.66,,,,high,Census block-group share of population with a college degree (0-1),log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,35,College Graduates,education_level,F_neighbourhood,level,share,-0.032,,,0.66,,,,high,Census block-group share of population with a college degree (0-1),log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-direct,2.4,Direct Effects,36,Poverty,other,other,level,share,-0.036,,,0.56,,,,high,Census block-group share of population below the poverty line (0-1); printed on p.36 (table continuation),log sale price of house,log,spatial_lag,683.0,0.5,p,All 683 single-family sales 2004-2005; direct (own-house) effects of the Bayesian heteroskedastic SAR model (2 nearest neighbours)
c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964,c0c750e0ff9e1fcc59888eee28b0b7208f559964:T2.4-total,2.4,Total Effects,36,Poverty,other,other,level,share,-0.036,,,0.56,,,,high,Census block-group share of population below the poverty line (0-1); printed on p.36 (table continuation),log sale price of house,log,spatial_lag,683.0,0.5,p,Same SAR estimation as T2.4-direct; total effects = direct + indirect (spatial spillover) effects
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T3-Batikent,3,1,11,Distance to Metro Station (m),transit_distance,D_location,level,m,0.0,,-2.152,0.047,,,,low,B and SE both printed .000 (rounded to 3 decimals); negative per t=-2.152 and standardized beta -0.379; magnitude unrecoverable,"ln(house asking price, TL)",log,OLS,24.0,0.535,se,24 for-sale listings within 1500 m of Batikent metro station (middle-lower income area); distance to school dropped from the printed table
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T3-Batikent,3,1,11,Site/ Apartment,dwelling_type,A_structural,dummy,binary,0.14,0.072,1.945,0.07,,,,high,Located in a gated site complex vs apartment building,"ln(house asking price, TL)",log,OLS,24.0,0.535,se,24 for-sale listings within 1500 m of Batikent metro station (middle-lower income area); distance to school dropped from the printed table
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T3-Batikent,3,1,11,Square Meter (m2),living_area,A_structural,level,m2,0.008,0.004,2.099,0.052,,,,high,Total residential area in m2,"ln(house asking price, TL)",log,OLS,24.0,0.535,se,24 for-sale listings within 1500 m of Batikent metro station (middle-lower income area); distance to school dropped from the printed table
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T3-Batikent,3,1,11,Number of Rooms,bedrooms,A_structural,level,count,0.018,0.099,0.184,0.856,,,,high,Number of rooms incl. living rooms,"ln(house asking price, TL)",log,OLS,24.0,0.535,se,24 for-sale listings within 1500 m of Batikent metro station (middle-lower income area); distance to school dropped from the printed table
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T3-Batikent,3,1,11,Floor,floor_level,A_structural,level,count,0.021,0.01,2.015,0.061,,,,high,,"ln(house asking price, TL)",log,OLS,24.0,0.535,se,24 for-sale listings within 1500 m of Batikent metro station (middle-lower income area); distance to school dropped from the printed table
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T3-Batikent,3,1,11,Building Age (years),age,A_structural,level,years,-0.05,0.043,-1.153,0.266,,,,high,,"ln(house asking price, TL)",log,OLS,24.0,0.535,se,24 for-sale listings within 1500 m of Batikent metro station (middle-lower income area); distance to school dropped from the printed table
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T3-Batikent,3,1,11,Distance to Bus Stop (m),transit_distance,D_location,level,m,0.002,0.001,2.854,0.011,,,,high,Walking distance to bus stop in metres; positive sign,"ln(house asking price, TL)",log,OLS,24.0,0.535,se,24 for-sale listings within 1500 m of Batikent metro station (middle-lower income area); distance to school dropped from the printed table
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Distance to Metro Station(M),transit_distance,D_location,level,m,-1.345e-05,,-0.09,0.93,,,,medium,SE printed .000 (rounded); beta printed -1.345E-5,"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Site/ Apartment,dwelling_type,A_structural,dummy,binary,-0.168,0.164,-1.027,0.331,,,,high,Located in a gated site complex vs apartment building,"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Square Meter (M2),living_area,A_structural,level,m2,0.004,0.001,6.015,0.0,,,,high,Total residential area in m2,"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Number of Rooms,bedrooms,A_structural,level,count,0.344,0.099,3.484,0.007,,,,high,Number of rooms incl. living rooms,"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Floor,floor_level,A_structural,level,count,0.028,0.009,3.105,0.013,,,,high,,"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Building Age (Years),age,A_structural,level,years,0.029,0.055,0.526,0.612,,,,high,,"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Distance to Bus Stop (M),transit_distance,D_location,level,m,0.0,,0.319,0.757,,,,low,B and SE printed .000 (rounded); magnitude unrecoverable,"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662,c15ba8a0a6017224eaf4694459bf962179074662:T5-Koru,5,1,12,Distance to School(M),school_distance,D_location,level,m,-0.001,,-1.613,0.141,,,,medium,SE printed .000 (rounded),"ln(house asking price, TL)",log,OLS,18.0,0.932,se,18 for-sale listings within 1500 m of Koru metro station (upper-middle income area)
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Apartment surface (m2),living_area,A_structural,level,m2,-0.00347,,,,****,,,high,Apartment surface in m2 (price per m2 model). Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Energy class A,energy_efficiency,A_structural,binary,binary,0.265,,,,**,,,high,EPC class A (A1-A4) vs classes B-G. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Age of the apartment,age,A_structural,level,years,-0.0166,,,,****,,,high,Age in years; quadratic. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Squared age of the apartment,age,A_structural,squared,years,0.000125,,,,****,,,high,Age squared. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Year in which the heating system was installed,heating,A_structural,other,years,0.00691,,,,***,,,high,"Calendar year of installation of the heating system (level in years, not a dummy). Dependent variable is log price per m2; only stars printed (**** p<0.001).",log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Bathrooms number,bathrooms,A_structural,level,count,0.173,,,,***,,,high,Number of bathrooms. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Elevator,accessibility,B_interior,binary,binary,0.161,,,,****,,,high,Elevator present. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Train station distance (Km),transit_distance,D_location,level,km,-0.123,,,,**,,,high,Distance to train station in km. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Number of schools within a radius 200 m,school_distance,D_location,level,count,0.122,,,,**,,,high,Count of schools within 200 m (not a distance). Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Number of supermarkets within a radius 200 m,commercial_distance,D_location,level,count,0.0965,,,,***,,,high,Count of supermarkets within 200 m (not a distance). Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Urban parks area (ha) within a radius of 100 m,green_space,E_environment,level,ha,0.0541,,,,***,,,high,Park area in hectares within 100 m; printed as '0. 0541'. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Urban parks area (ha) between 100 and 200 m,green_space,E_environment,level,ha,0.0393,,,,**,,,high,Park area in hectares between 100 and 200 m; printed as '0. 0393'. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Waterway distance (Km),water_proximity,E_environment,level,km,-0.366,,,,****,,,high,Distance to waterway in km; printed as '-0. 366'. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7,c457882224ad7235eecc5a3f2b95232d76a155e7:T3-c1,3,1,9,Mediation,other,other,binary,binary,0.1186,,,,**,,,high,Sold through a real estate agency. Dependent variable is log price per m2; only stars printed (**** p<0.001).,log of apartment price per square meter (EUR/m2),per_m2,OLS,222.0,0.551,none,"All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Bedroom,bedrooms,A_structural,level,count,-3.358,0.868,-3.869,0.0,,-5.077,-1.639,medium,"Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Space,living_area,A_structural,level,sqft,0.0056,0.003,1.804,0.074,,-0.001,0.012,medium,"Total square footage of the house; Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Room,other,other,level,count,3.0901,0.95,3.253,0.001,,1.209,4.971,medium,"Total number of rooms (distinct from bedrooms); Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Lot,lot_size,A_structural,level,sqft (as stated in Table 1; scale uncertain),0.2094,0.089,2.35,0.02,,0.033,0.386,medium,"Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Tax,public_services,F_neighbourhood,level,USD per year (annual property taxes),0.0062,0.002,2.636,0.01,,0.002,0.011,medium,"Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Bathroom,bathrooms,A_structural,level,count,5.6524,1.76,3.212,0.002,,2.167,9.138,medium,"Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Garage,garage,A_structural,level,count,4.5383,0.911,4.984,0.0,,2.735,6.342,medium,"Number of garages; Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6,c5910ffe5f4e46ed4d95f8ada01d97feb8173ca6:T2-c1,2,1,5,Condition,condition,A_structural,binary,binary,0.5562,1.677,0.332,0.741,,-2.766,3.878,medium,"1 if good condition, 0 otherwise; Price scale (thousands of USD) inferred from text ('each additional room increases the price by approximately $3,090' for coefficient 3.0901); sample period and n not printed",House price (level; text/Figure 1 indicate thousands of USD),level,OLS,,0.732,none,"Full sample, suburban Chicago public dataset; adjusted R2 0.714, F = 39.70; missing values imputed with medians; SE, t, p and 95% CI printed in columns"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,ln(building age),age,A_structural,log,years,-0.011,,-0.734,,,,,high,"building age in years (age=1 if built 2014), log","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Inner environment,other,other,level,ordinal,0.013,,1.221,,,,,high,"environment quality inside gated community, 1-5 score","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,External environment,other,other,level,ordinal,0.008,,0.809,,,,,high,"natural environment quality around community, 1-5 score","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Property management,other,other,level,ordinal,0.042,,5.328,,***,,,high,"property management service quality, 1-5 score","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Sports facility,recreation_private,C_exterior,level,ordinal,0.031,,3.925,,***,,,high,"community sports facilities quality, 1-5 score","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Nearby university,university_distance,D_location,binary,binary,0.046,,2.979,,***,,,high,1 = college/university within 1000 m,"ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Living facility,commercial_distance,D_location,level,count,0.018,,2.208,,**,,,high,"count 0-5 of supermarket, market, bank, post office, hospital within 1000 m","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Education facility,school_distance,D_location,level,count,0.033,,3.39,,***,,,high,"count 0-4 of kindergarten, primary, junior high, high school within 1000 m","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Nearby subway,transit_distance,D_location,binary,binary,0.02,,1.162,,,,,high,1 = metro station within 500 m,"ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,Traffic condition,transit_distance,D_location,level,count,-0.002,,-3.023,,***,,,high,number of bus routes within 1000 m,"ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,ln(distance to Wulin Square),cbd_distance,D_location,log,km,-0.067,,-3.429,,***,,,high,"walking distance to traditional CBD (Wulin Square), km, log","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,ln(distance to the West Lake),water_proximity,E_environment,log,km,-0.221,,-12.694,,***,,,high,"walking distance to the West Lake, km, log","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T2-c1,2,1,7,ln(distance to the Qianjiang New Center),cbd_distance,D_location,log,km,-0.059,,-4.018,,***,,,high,"walking distance to new CBD (Qianjiang New Center), km, log","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.567,t,Model 1 traditional hedonic; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,ln(building age),age,A_structural,log,years,-0.061,,-3.765,,***,,,high,"building age in years (age=1 if built 2014), log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,Inner environment,other,other,level,ordinal,0.022,,1.649,,*,,,high,"environment quality inside gated community, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,External environment,other,other,level,ordinal,0.022,,1.653,,*,,,high,"natural environment quality around community, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,Property management,other,other,level,ordinal,0.036,,3.49,,***,,,high,"property management service quality, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,Sports facility,recreation_private,C_exterior,level,ordinal,0.032,,4.034,,***,,,high,"community sports facilities quality, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,Living facility,commercial_distance,D_location,level,count,0.032,,3.043,,***,,,high,"count 0-5 of supermarket, market, bank, post office, hospital within 1000 m; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,Traffic condition,transit_distance,D_location,level,count,-0.005,,-3.585,,***,,,high,number of bus routes within 1000 m; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed,"ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,ln(distance to Wulin Square),cbd_distance,D_location,log,km,-0.087,,1.786,,*,,,medium,"walking distance to traditional CBD (Wulin Square), km, log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed; printed t = 1.786 has sign inconsistent with negative coefficient","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,ln(distance to the West Lake),water_proximity,E_environment,log,km,-0.269,,-7.596,,***,,,high,"walking distance to the West Lake, km, log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c1,3,1,8,ln(distance to the Qianjiang New Center),cbd_distance,D_location,log,km,-0.185,,-4.028,,***,,,high,"walking distance to new CBD (Qianjiang New Center), km, log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.671,t,Model 2 one-degree spatial expansion (OLS with coordinate interactions); base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,ln(building age),age,A_structural,log,years,-0.079,,-3.247,,***,,,high,"building age in years (age=1 if built 2014), log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,Inner environment,other,other,level,ordinal,0.029,,1.729,,***,,,medium,"environment quality inside gated community, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed; printed *** inconsistent with t = 1.729","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,External environment,other,other,level,ordinal,0.05,,2.616,,***,,,high,"natural environment quality around community, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,Property management,other,other,level,ordinal,0.033,,2.267,,**,,,high,"property management service quality, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,Sports facility,recreation_private,C_exterior,level,ordinal,0.055,,4.131,,***,,,high,"community sports facilities quality, 1-5 score; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,Education facility,school_distance,D_location,level,count,0.05,,2.461,,**,,,high,"count 0-4 of kindergarten, primary, junior high, high school within 1000 m; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,Nearby subway,transit_distance,D_location,binary,binary,-0.209,,-3.208,,***,,,high,1 = metro station within 500 m; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed,"ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,Traffic condition,transit_distance,D_location,level,count,-0.004,,-2.037,,**,,,high,number of bus routes within 1000 m; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed,"ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,ln(distance to Wulin Square),cbd_distance,D_location,log,km,-0.168,,-2.149,,**,,,high,"walking distance to traditional CBD (Wulin Square), km, log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,ln(distance to the West Lake),water_proximity,E_environment,log,km,-0.336,,-6.557,,***,,,high,"walking distance to the West Lake, km, log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T3-c2,3,2,8,ln(distance to the Qianjiang New Center),cbd_distance,D_location,log,km,-0.237,,-3.061,,***,,,high,"walking distance to new CBD (Qianjiang New Center), km, log; base term of spatial expansion model (interaction terms with coordinates not extracted); only terms significant at 10% are printed","ln(P), average community housing price (RMB, likely per m2)",log,OLS,603.0,0.704,t,Model 3 quadratic spatial expansion; base coefficients only; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,ln(building age),age,A_structural,log,years,-0.061,,,,**,,,medium,"building age in years (age=1 if built 2014), log; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Inner environment,other,other,level,ordinal,0.043,,,,**,,,medium,"environment quality inside gated community, 1-5 score; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,External environment,other,other,level,ordinal,0.015,,,,*,,,medium,"natural environment quality around community, 1-5 score; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Property management,other,other,level,ordinal,0.016,,,,***,,,medium,"property management service quality, 1-5 score; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Sports facility,recreation_private,C_exterior,level,ordinal,0.028,,,,***,,,medium,"community sports facilities quality, 1-5 score; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Nearby university,university_distance,D_location,binary,binary,0.015,,,,***,,,medium,1 = college/university within 1000 m; GWR median of local estimates; stars printed on median; no SE,"ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Living facility,commercial_distance,D_location,level,count,0.012,,,,***,,,medium,"count 0-5 of supermarket, market, bank, post office, hospital within 1000 m; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Education facility,school_distance,D_location,level,count,0.01,,,,***,,,medium,"count 0-4 of kindergarten, primary, junior high, high school within 1000 m; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Nearby subway,transit_distance,D_location,binary,binary,0.021,,,,**,,,medium,1 = metro station within 500 m; GWR median of local estimates; stars printed on median; no SE,"ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,Traffic condition,transit_distance,D_location,level,count,-0.002,,,,***,,,medium,number of bus routes within 1000 m; GWR median of local estimates; stars printed on median; no SE,"ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,ln(distance to Wulin Square),cbd_distance,D_location,log,km,-0.034,,,,***,,,medium,"walking distance to traditional CBD (Wulin Square), km, log; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,ln(distance to the West Lake),water_proximity,E_environment,log,km,-0.28,,,,***,,,medium,"walking distance to the West Lake, km, log; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T4-c1,4,Median,9,ln(distance to the Qianjiang New Center),cbd_distance,D_location,log,km,-0.131,,,,***,,,medium,"walking distance to new CBD (Qianjiang New Center), km, log; GWR median of local estimates; stars printed on median; no SE","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.757,none,Model 4 GWR; median of local coefficients; adj R2
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T5-c1,5,1,10,Inner environment,other,other,level,ordinal,0.048,,4.176,,,,,high,"environment quality inside gated community, 1-5 score; MGWR global coefficient; t value printed, no stars (critical values 1.648/1.965)","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,t,"Model 5 MGWR, global (fixed) variables; critical t 1.648 (10%), 1.965 (5%); adj R2 from Table 6"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T5-c1,5,1,10,Nearby university,university_distance,D_location,binary,binary,0.04,,2.635,,,,,high,"1 = college/university within 1000 m; MGWR global coefficient; t value printed, no stars (critical values 1.648/1.965)","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,t,"Model 5 MGWR, global (fixed) variables; critical t 1.648 (10%), 1.965 (5%); adj R2 from Table 6"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T5-c1,5,1,10,Sports facility,recreation_private,C_exterior,level,ordinal,0.021,,3.246,,,,,high,"community sports facilities quality, 1-5 score; MGWR global coefficient; t value printed, no stars (critical values 1.648/1.965)","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,t,"Model 5 MGWR, global (fixed) variables; critical t 1.648 (10%), 1.965 (5%); adj R2 from Table 6"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T5-c1,5,1,10,Property management,other,other,level,ordinal,0.012,,1.722,,,,,high,"property management service quality, 1-5 score; MGWR global coefficient; t value printed, no stars (critical values 1.648/1.965)","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,t,"Model 5 MGWR, global (fixed) variables; critical t 1.648 (10%), 1.965 (5%); adj R2 from Table 6"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,ln(building age),age,A_structural,log,years,-0.079,,,,,,,medium,"building age in years (age=1 if built 2014), log; MGWR median of local estimates; no SE or stars","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,External environment,other,other,level,ordinal,0.015,,,,,,,medium,"natural environment quality around community, 1-5 score; MGWR median of local estimates; no SE or stars","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,Living facility,commercial_distance,D_location,level,count,0.011,,,,,,,medium,"count 0-5 of supermarket, market, bank, post office, hospital within 1000 m; MGWR median of local estimates; no SE or stars","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,Education facility,school_distance,D_location,level,count,0.025,,,,,,,medium,"count 0-4 of kindergarten, primary, junior high, high school within 1000 m; MGWR median of local estimates; no SE or stars","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,Nearby subway,transit_distance,D_location,binary,binary,0.007,,,,,,,medium,1 = metro station within 500 m; MGWR median of local estimates; no SE or stars,"ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,Traffic condition,transit_distance,D_location,level,count,-0.002,,,,,,,medium,number of bus routes within 1000 m; MGWR median of local estimates; no SE or stars,"ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,ln(distance to Wulin Square),cbd_distance,D_location,log,km,-0.003,,,,,,,medium,"walking distance to traditional CBD (Wulin Square), km, log; MGWR median of local estimates; no SE or stars","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,ln(distance to the West Lake),water_proximity,E_environment,log,km,-0.307,,,,,,,medium,"walking distance to the West Lake, km, log; MGWR median of local estimates; no SE or stars","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7,c63f29dcdec077b7ee126d8f2c6b0bcc6611e6a7:T6-c1,6,Median,10,ln(distance to the Qianjiang New Center),cbd_distance,D_location,log,km,-0.069,,,,,,,medium,"walking distance to new CBD (Qianjiang New Center), km, log; MGWR median of local estimates; no SE or stars","ln(P), average community housing price (RMB, likely per m2)",log,GWR,603.0,0.766,none,"Model 5 MGWR, local variables; median of local coefficients; adj R2"
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c1,3,Standard,14,ln Size,living_area,A_structural,log,sqft,0.932,,,,***,,,high,building size in square feet (multifamily property),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c2,3,Hybrid,14,ln Size,living_area,A_structural,log,sqft,0.924,,,,***,,,high,building size in square feet (multifamily property),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c3,3,RE,14,ln Size,living_area,A_structural,log,sqft,0.928,,,,***,,,high,building size in square feet (multifamily property),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c4,3,Besag (Hybrid),14,ln Size,living_area,A_structural,log,sqft,0.945,,,,***,,,high,building size in square feet (multifamily property),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c5,3,Besag (RE),14,ln Size,living_area,A_structural,log,sqft,0.952,,,,***,,,high,building size in square feet (multifamily property),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c6,3,SRW (Hybrid),14,ln Size,living_area,A_structural,log,sqft,0.956,,,,***,,,high,building size in square feet (multifamily property),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c7,3,SRW (RE),14,ln Size,living_area,A_structural,log,sqft,0.961,,,,***,,,high,building size in square feet (multifamily property),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c1,3,Standard,14,ln ( NOI / Size ),other,other,log,currency per sqft,0.735,,,,***,,,high,net operating income per square foot (income control),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c2,3,Hybrid,14,ln ( NOI / Size ),other,other,log,currency per sqft,0.708,,,,***,,,high,net operating income per square foot (income control),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c3,3,RE,14,ln ( NOI / Size ),other,other,log,currency per sqft,0.7,,,,***,,,high,net operating income per square foot (income control),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c4,3,Besag (Hybrid),14,ln ( NOI / Size ),other,other,log,currency per sqft,0.613,,,,***,,,high,net operating income per square foot (income control),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c5,3,Besag (RE),14,ln ( NOI / Size ),other,other,log,currency per sqft,0.609,,,,***,,,high,net operating income per square foot (income control),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c6,3,SRW (Hybrid),14,ln ( NOI / Size ),other,other,log,currency per sqft,0.603,,,,***,,,high,net operating income per square foot (income control),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c7,3,SRW (RE),14,ln ( NOI / Size ),other,other,log,currency per sqft,0.602,,,,***,,,high,net operating income per square foot (income control),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c1,3,Standard,14,Age,age,A_structural,level,years,-0.001,,,,***,,,high,,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c2,3,Hybrid,14,Age,age,A_structural,level,years,-0.001,,,,***,,,high,,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c3,3,RE,14,Age,age,A_structural,level,years,-0.001,,,,***,,,high,,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c4,3,Besag (Hybrid),14,Age,age,A_structural,level,years,-0.003,,,,***,,,high,,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c5,3,Besag (RE),14,Age,age,A_structural,level,years,-0.004,,,,***,,,high,,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c6,3,SRW (Hybrid),14,Age,age,A_structural,level,years,-0.004,,,,***,,,high,,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c7,3,SRW (RE),14,Age,age,A_structural,level,years,-0.004,,,,***,,,high,,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c1,3,Standard,14,Age2,age,A_structural,squared,years,0.0,,,,***,,,medium,printed as 0.000 (rounded),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c2,3,Hybrid,14,Age2,age,A_structural,squared,years,0.0,,,,,,,medium,printed as 0.000 (rounded),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c3,3,RE,14,Age2,age,A_structural,squared,years,0.0,,,,,,,medium,printed as 0.000 (rounded),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c4,3,Besag (Hybrid),14,Age2,age,A_structural,squared,years,0.0,,,,,,,medium,printed as 0.000 (rounded),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c5,3,Besag (RE),14,Age2,age,A_structural,squared,years,0.0,,,,*,,,medium,printed as 0.000 (rounded),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c6,3,SRW (Hybrid),14,Age2,age,A_structural,squared,years,0.0,,,,,,,medium,printed as 0.000 (rounded),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c7,3,SRW (RE),14,Age2,age,A_structural,squared,years,0.0,,,,***,,,medium,printed as 0.000 (rounded),ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c1,3,Standard,14,Mid/Highrise,storeys,A_structural,binary,binary,0.018,,,,,,,high,mid/high-rise property subtype vs garden apartment,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c2,3,Hybrid,14,Mid/Highrise,storeys,A_structural,binary,binary,0.014,,,,,,,high,mid/high-rise property subtype vs garden apartment,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c3,3,RE,14,Mid/Highrise,storeys,A_structural,binary,binary,0.019,,,,,,,high,mid/high-rise property subtype vs garden apartment,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c4,3,Besag (Hybrid),14,Mid/Highrise,storeys,A_structural,binary,binary,-0.003,,,,***,,,high,mid/high-rise property subtype vs garden apartment,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c5,3,Besag (RE),14,Mid/Highrise,storeys,A_structural,binary,binary,-0.002,,,,***,,,high,mid/high-rise property subtype vs garden apartment,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c6,3,SRW (Hybrid),14,Mid/Highrise,storeys,A_structural,binary,binary,-0.004,,,,***,,,high,mid/high-rise property subtype vs garden apartment,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T3-c7,3,SRW (RE),14,Mid/Highrise,storeys,A_structural,binary,binary,-0.005,,,,***,,,high,mid/high-rise property subtype vs garden apartment,ln transaction price (USD),log,other,2263.0,,none,Los Angeles commercial multifamily; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,ln Size,living_area,A_structural,log,m2,0.898,,,,***,,,high,size in square metres,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,ln Size,living_area,A_structural,log,m2,0.889,,,,***,,,high,size in square metres,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,ln Size,living_area,A_structural,log,m2,0.876,,,,***,,,high,size in square metres,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,ln Size,living_area,A_structural,log,m2,0.723,,,,***,,,high,size in square metres,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,ln Size,living_area,A_structural,log,m2,0.714,,,,***,,,high,size in square metres,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,ln Size,living_area,A_structural,log,m2,0.685,,,,***,,,high,size in square metres,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,ln Size,living_area,A_structural,log,m2,0.694,,,,***,,,high,size in square metres,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Age,age,A_structural,level,years,0.004,,,,***,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Age,age,A_structural,level,years,0.002,,,,**,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Age,age,A_structural,level,years,0.003,,,,***,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Age,age,A_structural,level,years,0.003,,,,***,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Age,age,A_structural,level,years,0.003,,,,***,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Age,age,A_structural,level,years,0.001,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Age,age,A_structural,level,years,0.001,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Age2,age,A_structural,squared,years,-0.0,,,,***,,,medium,printed as -0.000 (rounded),ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Age2,age,A_structural,squared,years,-0.0,,,,***,,,medium,printed as -0.000 (rounded),ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Age2,age,A_structural,squared,years,-0.0,,,,***,,,medium,printed as -0.000 (rounded),ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Age2,age,A_structural,squared,years,-0.0,,,,***,,,medium,printed as -0.000 (rounded),ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Age2,age,A_structural,squared,years,-0.0,,,,***,,,medium,printed as -0.000 (rounded),ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Age2,age,A_structural,squared,years,-0.0,,,,***,,,medium,printed as -0.000 (rounded),ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Age2,age,A_structural,squared,years,-0.0,,,,***,,,medium,printed as -0.000 (rounded),ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Semidetached (1),dwelling_type,A_structural,binary,binary,0.148,,,,***,,,high,"semidetached connected via garage, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Semidetached (1),dwelling_type,A_structural,binary,binary,0.162,,,,***,,,high,"semidetached connected via garage, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Semidetached (1),dwelling_type,A_structural,binary,binary,0.137,,,,***,,,high,"semidetached connected via garage, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Semidetached (1),dwelling_type,A_structural,binary,binary,0.083,,,,***,,,high,"semidetached connected via garage, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Semidetached (1),dwelling_type,A_structural,binary,binary,0.074,,,,***,,,high,"semidetached connected via garage, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Semidetached (1),dwelling_type,A_structural,binary,binary,0.088,,,,***,,,high,"semidetached connected via garage, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Semidetached (1),dwelling_type,A_structural,binary,binary,0.073,,,,***,,,high,"semidetached connected via garage, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Semidetached (2),dwelling_type,A_structural,binary,binary,0.199,,,,***,,,high,"semidetached connected wall-to-wall, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Semidetached (2),dwelling_type,A_structural,binary,binary,0.214,,,,***,,,high,"semidetached connected wall-to-wall, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Semidetached (2),dwelling_type,A_structural,binary,binary,0.205,,,,***,,,high,"semidetached connected wall-to-wall, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Semidetached (2),dwelling_type,A_structural,binary,binary,0.167,,,,***,,,high,"semidetached connected wall-to-wall, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Semidetached (2),dwelling_type,A_structural,binary,binary,0.152,,,,***,,,high,"semidetached connected wall-to-wall, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Semidetached (2),dwelling_type,A_structural,binary,binary,0.174,,,,***,,,high,"semidetached connected wall-to-wall, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Semidetached (2),dwelling_type,A_structural,binary,binary,0.163,,,,***,,,high,"semidetached connected wall-to-wall, vs row house",ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Corner Home,dwelling_type,A_structural,binary,binary,0.094,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Corner Home,dwelling_type,A_structural,binary,binary,0.117,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Corner Home,dwelling_type,A_structural,binary,binary,0.104,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Corner Home,dwelling_type,A_structural,binary,binary,0.1,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Corner Home,dwelling_type,A_structural,binary,binary,0.087,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Corner Home,dwelling_type,A_structural,binary,binary,0.109,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Corner Home,dwelling_type,A_structural,binary,binary,0.094,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Detached,dwelling_type,A_structural,binary,binary,0.337,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Detached,dwelling_type,A_structural,binary,binary,0.357,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Detached,dwelling_type,A_structural,binary,binary,0.347,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Detached,dwelling_type,A_structural,binary,binary,0.307,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Detached,dwelling_type,A_structural,binary,binary,0.292,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Detached,dwelling_type,A_structural,binary,binary,0.301,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Detached,dwelling_type,A_structural,binary,binary,0.286,,,,***,,,high,vs row house,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Maintenance [average],condition,A_structural,dummy,binary,0.128,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Maintenance [average],condition,A_structural,dummy,binary,0.127,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Maintenance [average],condition,A_structural,dummy,binary,0.133,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Maintenance [average],condition,A_structural,dummy,binary,0.129,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Maintenance [average],condition,A_structural,dummy,binary,0.13,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Maintenance [average],condition,A_structural,dummy,binary,0.123,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Maintenance [average],condition,A_structural,dummy,binary,0.128,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Maintenance [good],condition,A_structural,dummy,binary,0.216,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Maintenance [good],condition,A_structural,dummy,binary,0.209,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Maintenance [good],condition,A_structural,dummy,binary,0.208,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Maintenance [good],condition,A_structural,dummy,binary,0.204,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Maintenance [good],condition,A_structural,dummy,binary,0.208,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Maintenance [good],condition,A_structural,dummy,binary,0.206,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Maintenance [good],condition,A_structural,dummy,binary,0.207,,,,***,,,high,vs maintenance [bad],ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c1,4,Standard,15,Yard,garden,C_exterior,binary,binary,0.025,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Standard specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c2,4,Hybrid,15,Yard,garden,C_exterior,binary,binary,0.031,,,,*,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Hybrid specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c3,4,RE,15,Yard,garden,C_exterior,binary,binary,0.025,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; RE specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c4,4,Besag (Hybrid),15,Yard,garden,C_exterior,binary,binary,0.013,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c5,4,Besag (RE),15,Yard,garden,C_exterior,binary,binary,0.014,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; Besag (RE) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c6,4,SRW (Hybrid),15,Yard,garden,C_exterior,binary,binary,0.015,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (Hybrid) specification (Table 2)
c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558,c6b33e6b839caa1157a283c6f9a1e3350edd0558:T4-c7,4,SRW (RE),15,Yard,garden,C_exterior,binary,binary,0.016,,,,,,,high,,ln transaction price (EUR),log,other,2468.0,,none,Heemstede single-family; SRW (RE) specification (Table 2)
c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0:T3-c1,3,1,7,Surface,living_area,A_structural,level,m2,1109.951,83.6205,13.27368,0.0,,,,high,"size of the flat in m2 including common areas; Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)",Sales price (euros),level,OLS,2888.0,0.7738,se,"Full sample of 2,888 resale flats, Cordoba; parsimonious linear specification with Pav x Carp interaction; R2 0.7738 from text"
c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0:T3-c1,3,1,7,Age,age,A_structural,level,years,-1067.449,173.5725,-6.149872,0.0,,,,high,"age of the building in years; Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)",Sales price (euros),level,OLS,2888.0,0.7738,se,"Full sample of 2,888 resale flats, Cordoba; parsimonious linear specification with Pav x Carp interaction; R2 0.7738 from text"
c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0:T3-c1,3,1,7,Location,other,other,level,index,64297.29,5494.403,11.70232,0.0,,,,medium,"location index scaled to [0,1]: position in the city, characteristics of the area and income level of the zone (33 income zones); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)",Sales price (euros),level,OLS,2888.0,0.7738,se,"Full sample of 2,888 resale flats, Cordoba; parsimonious linear specification with Pav x Carp interaction; R2 0.7738 from text"
c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0:T3-c1,3,1,7,Annexes,other,other,level,index,18458.66,4572.246,4.037111,0.0001,,,,medium,"annex index scaled to [0,1] combining garage and store room (closest leaf would be garage, but composite); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)",Sales price (euros),level,OLS,2888.0,0.7738,se,"Full sample of 2,888 resale flats, Cordoba; parsimonious linear specification with Pav x Carp interaction; R2 0.7738 from text"
c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0:T3-c1,3,1,7,Expenses,other,other,level,currency,1296.708,105.9213,12.24218,0.0,,,,medium,"community (common) expenses in euros (period not stated, presumably monthly); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)",Sales price (euros),level,OLS,2888.0,0.7738,se,"Full sample of 2,888 resale flats, Cordoba; parsimonious linear specification with Pav x Carp interaction; R2 0.7738 from text"
c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0,c7b242d28013321bceaeef0f994fd2d0dab032c0:T3-c1,3,1,7,Pav xCarp,other,other,other,index,5117.27,504.0529,10.15225,0.0,,,,medium,"interaction between quality indices of pavement (flooring) condition and external carpentry (windows); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)",Sales price (euros),level,OLS,2888.0,0.7738,se,"Full sample of 2,888 resale flats, Cordoba; parsimonious linear specification with Pav x Carp interaction; R2 0.7738 from text"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,Farmers market,other,other,level,km,0.0111,0.0044,,,**,,,medium,Distance to nearest farmers market (km); quadratic with Farmers market2; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,Farmers market,other,other,level,km,0.0106,0.0041,,,***,,,medium,Distance to nearest farmers market (km); quadratic with Farmers market2; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,Farmers market,other,other,level,km,0.0114,0.0041,,,***,,,medium,Distance to nearest farmers market (km); quadratic with Farmers market2; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,Farmers market,other,other,level,km,0.0092,0.004,,,**,,,medium,Distance to nearest farmers market (km); quadratic with Farmers market2; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,Farmers market,other,other,level,km,0.0096,0.004,,,**,,,medium,Distance to nearest farmers market (km); quadratic with Farmers market2; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,Farmers market,other,other,level,km,0.0105,0.0041,,,**,,,medium,Distance to nearest farmers market (km); quadratic with Farmers market2; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,Farmers market2,other,other,squared,km,-0.0009,0.0007,,,,,,medium,Square of distance to nearest farmers market; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,Farmers market2,other,other,squared,km,-0.0011,0.0006,,,*,,,medium,Square of distance to nearest farmers market; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,Farmers market2,other,other,squared,km,-0.0012,0.0006,,,*,,,medium,Square of distance to nearest farmers market; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,Farmers market2,other,other,squared,km,-0.001,0.0006,,,,,,medium,Square of distance to nearest farmers market; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,Farmers market2,other,other,squared,km,-0.001,0.0006,,,*,,,medium,Square of distance to nearest farmers market; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,Farmers market2,other,other,squared,km,-0.0011,0.0006,,,*,,,medium,Square of distance to nearest farmers market; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,Living area,living_area,A_structural,level,sqft,0.0003,4.07e-06,,,***,,,medium,Square feet of living space; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,Living area,living_area,A_structural,level,sqft,0.0002,3.95e-06,,,***,,,medium,Square feet of living space; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,Living area,living_area,A_structural,level,sqft,0.0002,3.96e-06,,,***,,,medium,Square feet of living space; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,Living area,living_area,A_structural,level,sqft,0.0002,3.99e-06,,,***,,,medium,Square feet of living space; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,Living area,living_area,A_structural,level,sqft,0.0002,3.97e-06,,,***,,,medium,Square feet of living space; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,Living area,living_area,A_structural,level,sqft,0.0002,3.96e-06,,,***,,,medium,Square feet of living space; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,Lot size,lot_size,A_structural,level,sqft,7.04e-06,3.8e-07,,,***,,,medium,Square feet of lot; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,Lot size,lot_size,A_structural,level,sqft,6.67e-06,3.58e-07,,,***,,,medium,Square feet of lot; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,Lot size,lot_size,A_structural,level,sqft,6.81e-06,3.61e-07,,,***,,,medium,Square feet of lot; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,Lot size,lot_size,A_structural,level,sqft,6.29e-06,3.53e-07,,,***,,,medium,Square feet of lot; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,Lot size,lot_size,A_structural,level,sqft,6.58e-06,3.54e-07,,,***,,,medium,Square feet of lot; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,Lot size,lot_size,A_structural,level,sqft,6.73e-06,3.56e-07,,,***,,,medium,Square feet of lot; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,Bedroom,bedrooms,A_structural,level,count,-0.0188,0.0029,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,Bedroom,bedrooms,A_structural,level,count,-0.012,0.0027,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,Bedroom,bedrooms,A_structural,level,count,-0.0135,0.0028,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,Bedroom,bedrooms,A_structural,level,count,-0.0101,0.0027,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,Bedroom,bedrooms,A_structural,level,count,-0.0106,0.0027,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,Bedroom,bedrooms,A_structural,level,count,-0.0117,0.0027,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,Bathroom,bathrooms,A_structural,level,count,0.0319,0.0031,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,Bathroom,bathrooms,A_structural,level,count,0.0275,0.0029,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,Bathroom,bathrooms,A_structural,level,count,0.0287,0.0029,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,Bathroom,bathrooms,A_structural,level,count,0.027,0.0029,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,Bathroom,bathrooms,A_structural,level,count,0.0263,0.0029,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,Bathroom,bathrooms,A_structural,level,count,0.0268,0.0029,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,House condition,condition,A_structural,other,index,0.018,0.002,,,***,,,medium,Ordinal 1 (poor) to 4 (excellent); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,House condition,condition,A_structural,other,index,0.0164,0.0019,,,***,,,medium,Ordinal 1 (poor) to 4 (excellent); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,House condition,condition,A_structural,other,index,0.0168,0.0019,,,***,,,medium,Ordinal 1 (poor) to 4 (excellent); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,House condition,condition,A_structural,other,index,0.0161,0.0018,,,***,,,medium,Ordinal 1 (poor) to 4 (excellent); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,House condition,condition,A_structural,other,index,0.0158,0.0018,,,***,,,medium,Ordinal 1 (poor) to 4 (excellent); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,House condition,condition,A_structural,other,index,0.0159,0.0019,,,***,,,medium,Ordinal 1 (poor) to 4 (excellent); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,12,Basement condition,basement,A_structural,other,index,0.0449,0.002,,,***,,,medium,"Ordinal basement condition 1 (poor) to 4 (excellent), not presence; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,12,Basement condition,basement,A_structural,other,index,0.0445,0.0019,,,***,,,medium,"Ordinal basement condition 1 (poor) to 4 (excellent), not presence; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,12,Basement condition,basement,A_structural,other,index,0.0446,0.0019,,,***,,,medium,"Ordinal basement condition 1 (poor) to 4 (excellent), not presence; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,12,Basement condition,basement,A_structural,other,index,0.0431,0.0019,,,***,,,medium,"Ordinal basement condition 1 (poor) to 4 (excellent), not presence; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,12,Basement condition,basement,A_structural,other,index,0.044,0.0019,,,***,,,medium,"Ordinal basement condition 1 (poor) to 4 (excellent), not presence; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,12,Basement condition,basement,A_structural,other,index,0.0443,0.0019,,,***,,,medium,"Ordinal basement condition 1 (poor) to 4 (excellent), not presence; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,Garage,garage,A_structural,level,count,0.1169,0.0039,,,***,,,medium,Number of garages; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,Garage,garage,A_structural,level,count,0.1105,0.0037,,,***,,,medium,Number of garages; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,Garage,garage,A_structural,level,count,0.1122,0.0037,,,***,,,medium,Number of garages; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,Garage,garage,A_structural,level,count,0.1041,0.0037,,,***,,,medium,Number of garages; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,Garage,garage,A_structural,level,count,0.1057,0.0037,,,***,,,medium,Number of garages; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,Garage,garage,A_structural,level,count,0.1069,0.0037,,,***,,,medium,Number of garages; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,House age,age,A_structural,level,years,-0.0024,0.0001,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,House age,age,A_structural,level,years,-0.0022,0.0001,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,House age,age,A_structural,level,years,-0.0022,0.0001,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,House age,age,A_structural,level,years,-0.0023,0.0001,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,House age,age,A_structural,level,years,-0.0022,0.0001,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,House age,age,A_structural,level,years,-0.0022,0.0001,,,***,,,medium,parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,Shopping center,commercial_distance,D_location,level,count,-0.0035,0.0039,,,,,,medium,"Number of shopping centers within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,Shopping center,commercial_distance,D_location,level,count,-0.0039,0.0037,,,,,,medium,"Number of shopping centers within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,Shopping center,commercial_distance,D_location,level,count,-0.0042,0.0037,,,,,,medium,"Number of shopping centers within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,Shopping center,commercial_distance,D_location,level,count,-0.0046,0.0036,,,,,,medium,"Number of shopping centers within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,Shopping center,commercial_distance,D_location,level,count,-0.0042,0.0036,,,,,,medium,"Number of shopping centers within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,Shopping center,commercial_distance,D_location,level,count,-0.0039,0.0036,,,,,,medium,"Number of shopping centers within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,Grocery store,commercial_distance,D_location,level,count,-0.001,0.0024,,,,,,medium,"Number of grocery stores within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,Grocery store,commercial_distance,D_location,level,count,-0.0015,0.0022,,,,,,medium,"Number of grocery stores within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,Grocery store,commercial_distance,D_location,level,count,-0.0016,0.0022,,,,,,medium,"Number of grocery stores within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,Grocery store,commercial_distance,D_location,level,count,-0.0008,0.0022,,,,,,medium,"Number of grocery stores within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,Grocery store,commercial_distance,D_location,level,count,-0.0008,0.0022,,,,,,medium,"Number of grocery stores within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,Grocery store,commercial_distance,D_location,level,count,-0.0009,0.0022,,,,,,medium,"Number of grocery stores within 1,000-m buffer (count, not distance); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,Bar,neighbourhood_amenities,F_neighbourhood,level,count,-0.0023,0.0014,,,*,,,medium,"Number of bars within 1,000-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,Bar,neighbourhood_amenities,F_neighbourhood,level,count,0.0013,0.0013,,,,,,medium,"Number of bars within 1,000-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,Bar,neighbourhood_amenities,F_neighbourhood,level,count,0.0012,0.0013,,,,,,medium,"Number of bars within 1,000-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,Bar,neighbourhood_amenities,F_neighbourhood,level,count,0.0002,0.0013,,,,,,medium,"Number of bars within 1,000-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,Bar,neighbourhood_amenities,F_neighbourhood,level,count,0.001,0.0013,,,,,,medium,"Number of bars within 1,000-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,Bar,neighbourhood_amenities,F_neighbourhood,level,count,0.0013,0.0013,,,,,,medium,"Number of bars within 1,000-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,Downtown,cbd_distance,D_location,level,km,-0.0054,0.0014,,,***,,,medium,Distance to the downtown area (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,Downtown,cbd_distance,D_location,level,km,-0.0127,0.0013,,,***,,,medium,Distance to the downtown area (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,Downtown,cbd_distance,D_location,level,km,-0.0143,0.0013,,,***,,,medium,Distance to the downtown area (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,Downtown,cbd_distance,D_location,level,km,-0.0081,0.0013,,,***,,,medium,Distance to the downtown area (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,Downtown,cbd_distance,D_location,level,km,-0.0096,0.0013,,,***,,,medium,Distance to the downtown area (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,Downtown,cbd_distance,D_location,level,km,-0.0108,0.0013,,,***,,,medium,Distance to the downtown area (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,University of Alberta,university_distance,D_location,level,km,-0.0114,0.0015,,,***,,,medium,Distance to the University of Alberta (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,University of Alberta,university_distance,D_location,level,km,-0.0028,0.0015,,,***,,,medium,Distance to the University of Alberta (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,University of Alberta,university_distance,D_location,level,km,-0.0012,0.0015,,,***,,,medium,Distance to the University of Alberta (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,University of Alberta,university_distance,D_location,level,km,-0.007,0.0014,,,***,,,medium,Distance to the University of Alberta (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,University of Alberta,university_distance,D_location,level,km,-0.0056,0.0014,,,***,,,medium,Distance to the University of Alberta (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,University of Alberta,university_distance,D_location,level,km,-0.0043,0.0014,,,***,,,medium,Distance to the University of Alberta (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,Hospital,hospital_distance,D_location,level,km,-0.0037,0.0011,,,***,,,medium,Distance to a hospital (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,Hospital,hospital_distance,D_location,level,km,-0.005,0.001,,,***,,,medium,Distance to a hospital (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,Hospital,hospital_distance,D_location,level,km,-0.0054,0.001,,,***,,,medium,Distance to a hospital (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,Hospital,hospital_distance,D_location,level,km,-0.0035,0.001,,,***,,,medium,Distance to a hospital (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,Hospital,hospital_distance,D_location,level,km,-0.0043,0.001,,,***,,,medium,Distance to a hospital (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,Hospital,hospital_distance,D_location,level,km,-0.0049,0.001,,,***,,,medium,Distance to a hospital (km); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,13,River buffer,water_proximity,E_environment,binary,binary,0.0302,0.0044,,,***,,,medium,1 if within 2 km of the North Saskatchewan River; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,13,River buffer,water_proximity,E_environment,binary,binary,0.0106,0.0042,,,***,,,medium,1 if within 2 km of the North Saskatchewan River; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,13,River buffer,water_proximity,E_environment,binary,binary,0.0088,0.0042,,,***,,,medium,1 if within 2 km of the North Saskatchewan River; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,13,River buffer,water_proximity,E_environment,binary,binary,0.0189,0.0041,,,***,,,medium,1 if within 2 km of the North Saskatchewan River; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,13,River buffer,water_proximity,E_environment,binary,binary,0.0164,0.0041,,,***,,,medium,1 if within 2 km of the North Saskatchewan River; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,13,River buffer,water_proximity,E_environment,binary,binary,0.0158,0.0041,,,***,,,medium,1 if within 2 km of the North Saskatchewan River; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Golf,other,other,level,m2,1.29e-07,3.99e-08,,,***,,,medium,Area (m2) of golf course within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Golf,other,other,level,m2,8.55e-08,3.76e-08,,,***,,,medium,Area (m2) of golf course within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Golf,other,other,level,m2,1.11e-07,3.8e-08,,,***,,,medium,Area (m2) of golf course within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Golf,other,other,level,m2,9.61e-08,3.71e-08,,,***,,,medium,Area (m2) of golf course within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Golf,other,other,level,m2,1e-07,3.72e-08,,,***,,,medium,Area (m2) of golf course within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Golf,other,other,level,m2,1.21e-07,3.74e-08,,,***,,,medium,Area (m2) of golf course within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Green space,green_space,E_environment,level,m2,4.12e-07,2.07e-08,,,***,,,medium,Area (m2) of park and natural preserve within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Green space,green_space,E_environment,level,m2,2.22e-07,2.05e-08,,,***,,,medium,Area (m2) of park and natural preserve within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Green space,green_space,E_environment,level,m2,2.38e-07,2.06e-08,,,***,,,medium,Area (m2) of park and natural preserve within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Green space,green_space,E_environment,level,m2,2.11e-07,2.02e-08,,,***,,,medium,Area (m2) of park and natural preserve within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Green space,green_space,E_environment,level,m2,2.05e-07,2.03e-08,,,***,,,medium,Area (m2) of park and natural preserve within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Green space,green_space,E_environment,level,m2,2.11e-07,2.04e-08,,,***,,,medium,Area (m2) of park and natural preserve within 600-m buffer; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Population density,density,F_neighbourhood,level,per_km2,-1.21e-05,1.94e-06,,,***,,,medium,"Neighborhood-level population density; unit not stated in paper (mean 3,071), assumed persons per km2; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Population density,density,F_neighbourhood,level,per_km2,-8.11e-06,1.83e-06,,,***,,,medium,"Neighborhood-level population density; unit not stated in paper (mean 3,071), assumed persons per km2; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Population density,density,F_neighbourhood,level,per_km2,-9.33e-06,1.85e-06,,,***,,,medium,"Neighborhood-level population density; unit not stated in paper (mean 3,071), assumed persons per km2; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Population density,density,F_neighbourhood,level,per_km2,-6.01e-06,1.81e-06,,,***,,,medium,"Neighborhood-level population density; unit not stated in paper (mean 3,071), assumed persons per km2; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Population density,density,F_neighbourhood,level,per_km2,-6.22e-06,1.81e-06,,,***,,,medium,"Neighborhood-level population density; unit not stated in paper (mean 3,071), assumed persons per km2; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Population density,density,F_neighbourhood,level,per_km2,-7.99e-06,1.82e-06,,,***,,,medium,"Neighborhood-level population density; unit not stated in paper (mean 3,071), assumed persons per km2; parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Low education,education_level,F_neighbourhood,level,share,-0.6492,0.0291,,,***,,,medium,Share of residents with high school or lower (inverse of higher-education share); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Low education,education_level,F_neighbourhood,level,share,-0.3169,0.0293,,,***,,,medium,Share of residents with high school or lower (inverse of higher-education share); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Low education,education_level,F_neighbourhood,level,share,-0.3494,0.0295,,,***,,,medium,Share of residents with high school or lower (inverse of higher-education share); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Low education,education_level,F_neighbourhood,level,share,-0.3163,0.0285,,,***,,,medium,Share of residents with high school or lower (inverse of higher-education share); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Low education,education_level,F_neighbourhood,level,share,-0.294,0.0288,,,***,,,medium,Share of residents with high school or lower (inverse of higher-education share); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Low education,education_level,F_neighbourhood,level,share,-0.2971,0.0292,,,***,,,medium,Share of residents with high school or lower (inverse of higher-education share); parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Low income,income,F_neighbourhood,level,share,-0.1937,0.0383,,,***,,,medium,"Share of households with income below C$30,000 (share, not income level); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Low income,income,F_neighbourhood,level,share,-0.1819,0.0361,,,***,,,medium,"Share of households with income below C$30,000 (share, not income level); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Low income,income,F_neighbourhood,level,share,-0.1761,0.0364,,,***,,,medium,"Share of households with income below C$30,000 (share, not income level); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Low income,income,F_neighbourhood,level,share,-0.1678,0.0356,,,***,,,medium,"Share of households with income below C$30,000 (share, not income level); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Low income,income,F_neighbourhood,level,share,-0.1733,0.0357,,,***,,,medium,"Share of households with income below C$30,000 (share, not income level); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Low income,income,F_neighbourhood,level,share,-0.171,0.0359,,,***,,,medium,"Share of households with income below C$30,000 (share, not income level); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Unemployment,unemployment,F_neighbourhood,level,share,-0.3507,0.0819,,,***,,,medium,Share of residents unemployed; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Unemployment,unemployment,F_neighbourhood,level,share,-0.0319,0.0776,,,,,,medium,Share of residents unemployed; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Unemployment,unemployment,F_neighbourhood,level,share,-0.0162,0.0784,,,,,,medium,Share of residents unemployed; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Unemployment,unemployment,F_neighbourhood,level,share,-0.1392,0.0763,,,*,,,medium,Share of residents unemployed; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Unemployment,unemployment,F_neighbourhood,level,share,-0.1048,0.0766,,,,,,medium,Share of residents unemployed; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Unemployment,unemployment,F_neighbourhood,level,share,-0.0769,0.0771,,,,,,medium,Share of residents unemployed; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Senior,demographics,F_neighbourhood,level,share,0.1006,0.0316,,,***,,,medium,Share of population aged over 65; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Senior,demographics,F_neighbourhood,level,share,0.1018,0.0298,,,***,,,medium,Share of population aged over 65; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Senior,demographics,F_neighbourhood,level,share,0.104,0.03,,,***,,,medium,Share of population aged over 65; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Senior,demographics,F_neighbourhood,level,share,0.0975,0.0293,,,***,,,medium,Share of population aged over 65; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Senior,demographics,F_neighbourhood,level,share,0.0959,0.0294,,,***,,,medium,Share of population aged over 65; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Senior,demographics,F_neighbourhood,level,share,0.0847,0.0296,,,***,,,medium,Share of population aged over 65; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Public school,other,other,level,share,0.053,0.0349,,,,,,medium,Share of residents located in a public school zone; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Public school,other,other,level,share,0.1528,0.033,,,***,,,medium,Share of residents located in a public school zone; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Public school,other,other,level,share,0.1471,0.0334,,,***,,,medium,Share of residents located in a public school zone; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Public school,other,other,level,share,0.1364,0.0324,,,***,,,medium,Share of residents located in a public school zone; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Public school,other,other,level,share,0.1327,0.0325,,,***,,,medium,Share of residents located in a public school zone; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Public school,other,other,level,share,0.1346,0.0328,,,***,,,medium,Share of residents located in a public school zone; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,14,Married,demographics,F_neighbourhood,level,share,-0.151,0.0545,,,***,,,medium,Share of married residents; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,14,Married,demographics,F_neighbourhood,level,share,-0.3225,0.0518,,,***,,,medium,Share of married residents; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,14,Married,demographics,F_neighbourhood,level,share,-0.3283,0.0525,,,***,,,medium,Share of married residents; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,14,Married,demographics,F_neighbourhood,level,share,-0.2247,0.0506,,,***,,,medium,Share of married residents; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,14,Married,demographics,F_neighbourhood,level,share,-0.248,0.0508,,,***,,,medium,Share of married residents; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,14,Married,demographics,F_neighbourhood,level,share,-0.2591,0.0512,,,***,,,medium,Share of married residents; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,15,Walk,walkability,D_location,level,share,1.0992,0.0703,,,***,,,medium,"Share of residents whose primary transport mode is walking (proxy, not a walk score); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,15,Walk,walkability,D_location,level,share,0.6467,0.0675,,,***,,,medium,"Share of residents whose primary transport mode is walking (proxy, not a walk score); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,15,Walk,walkability,D_location,level,share,0.6997,0.0679,,,***,,,medium,"Share of residents whose primary transport mode is walking (proxy, not a walk score); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,15,Walk,walkability,D_location,level,share,0.7167,0.0662,,,***,,,medium,"Share of residents whose primary transport mode is walking (proxy, not a walk score); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,15,Walk,walkability,D_location,level,share,0.6742,0.0664,,,***,,,medium,"Share of residents whose primary transport mode is walking (proxy, not a walk score); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,15,Walk,walkability,D_location,level,share,0.7033,0.0667,,,***,,,medium,"Share of residents whose primary transport mode is walking (proxy, not a walk score); parentheses not labelled in table note (only star legend); values consistent with standard errors",Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c1,3,OLS,15,Public transportation,other,other,level,share,-0.4968,0.0559,,,***,,,medium,Share of residents whose primary transport mode is public transit; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,OLS,8241.0,0.823,se,OLS
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c2,3,800-m weights,15,Public transportation,other,other,level,share,-0.4335,0.0526,,,***,,,medium,Share of residents whose primary transport mode is public transit; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 800-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c3,3,1000-m weights,15,Public transportation,other,other,level,share,-0.4605,0.0531,,,***,,,medium,Share of residents whose primary transport mode is public transit; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 1000-m distance weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c4,3,Nearest 10 weights,15,Public transportation,other,other,level,share,-0.3662,0.052,,,***,,,medium,Share of residents whose primary transport mode is public transit; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 10 nearest neighbours weights"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c5,3,Nearest 20 weights,15,Public transportation,other,other,level,share,-0.3746,0.0521,,,***,,,medium,Share of residents whose primary transport mode is public transit; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 20 nearest neighbours weights (preferred, lowest AIC)"
c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6,c8acd4a142f8c89ba5c53a61a81bfd91957160a6:T3-c6,3,Nearest 30 weights,15,Public transportation,other,other,level,share,-0.4024,0.0523,,,***,,,medium,Share of residents whose primary transport mode is public transit; parentheses not labelled in table note (only star legend); values consistent with standard errors,Log of transacted price (2016 CAD$),log,spatial_lag,8241.0,,se,"SAR, 30 nearest neighbours weights"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M1,5,Model 1,9,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.00393,0.000164,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.632006,se,"Model 1 (Base): linear ASB, no squared terms"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.009514,0.000366,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.008774,0.000376,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.182533,0.00148,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.009762,0.000455,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.008565,0.000417,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.83e-05,2.81e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,5.22e-05,2.84e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.48e-05,2e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.86e-05,2.84e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.61e-05,2.85e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M1,5,Model 1,9,Age,age,A_structural,level,years,0.000901,0.000118,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.632006,se,"Model 1 (Base): linear ASB, no squared terms"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,Age,age,A_structural,level,years,0.002997,0.000507,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,Age,age,A_structural,level,years,0.002931,0.000506,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,Age,age,A_structural,level,years,0.002727,0.000361,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,Age,age,A_structural,level,years,0.002858,0.000507,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,Age,age,A_structural,level,years,0.002771,0.000509,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,Age × Age,age,A_structural,squared,years,-1.42e-05,3.8e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,Age × Age,age,A_structural,squared,years,-1.3e-05,3.8e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,Age × Age,age,A_structural,squared,years,-1.47e-05,2.71e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,Age × Age,age,A_structural,squared,years,-1.28e-05,3.8e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,Age × Age,age,A_structural,squared,years,-1.28e-05,3.81e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M1,5,Model 1,9,Size,living_area,A_structural,level,m2,0.005028,6.64e-05,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.632006,se,"Model 1 (Base): linear ASB, no squared terms"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,Size,living_area,A_structural,level,m2,0.008369,0.000173,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,Size,living_area,A_structural,level,m2,0.008245,0.000173,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,Size,living_area,A_structural,level,m2,0.005017,0.000126,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,Size,living_area,A_structural,level,m2,0.008363,0.000173,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,Size,living_area,A_structural,level,m2,0.008346,0.000173,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,Size × Size,living_area,A_structural,squared,m2,-8.31e-06,3.9e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,Size × Size,living_area,A_structural,squared,m2,-8.12e-06,3.9e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,Size × Size,living_area,A_structural,squared,m2,-3.92e-06,2.8e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,Size × Size,living_area,A_structural,squared,m2,-8.31e-06,3.9e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,Size × Size,living_area,A_structural,squared,m2,-8.27e-06,3.9e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M1,5,Model 1,9,Parking onsite,parking,A_structural,binary,binary,0.085923,0.010863,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.632006,se,"Model 1 (Base): linear ASB, no squared terms"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,Parking onsite,parking,A_structural,binary,binary,0.063596,0.010765,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,Parking onsite,parking,A_structural,binary,binary,0.054154,0.010803,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,Parking onsite,parking,A_structural,binary,binary,0.027686,0.007667,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,Parking onsite,parking,A_structural,binary,binary,0.064033,0.010774,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,Parking onsite,parking,A_structural,binary,binary,0.060777,0.010773,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M1,5,Model 1,9,Rural,other,other,binary,binary,-0.071657,0.01061,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.632006,se,"Model 1 (Base): linear ASB, no squared terms"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,Rural,other,other,binary,binary,-0.087541,0.01044,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,Rural,other,other,binary,binary,-0.088568,0.010417,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,Rural,other,other,binary,binary,-0.039933,0.00744,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,Rural,other,other,binary,binary,-0.08837,0.010449,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,Rural,other,other,binary,binary,-0.079871,0.010557,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M1,5,Model 1,9,Private,other,other,binary,binary,0.138356,0.024704,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.632006,se,"Model 1 (Base): linear ASB, no squared terms"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M2,5,Model 2,9,Private,other,other,binary,binary,0.124989,0.024144,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.651338,se,Model 2 (Base 2): adds squared terms
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M3,5,Model 3,9,Private,other,other,binary,binary,0.134252,0.024116,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.652927,se,Model 3 (Density): adds ASB x population density interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M4,5,Model 4,9,Private,other,other,binary,binary,0.059928,0.017191,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.823421,se,Model 4 (Property price): adds ASB x price interaction (price on RHS)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M5,5,Model 5,9,Private,other,other,binary,binary,0.168379,0.028833,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.65152,se,Model 5 (Private): adds ASB x Private interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T5-M6,5,Model 6,9,Private,other,other,binary,binary,0.124831,0.024126,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.651877,se,Model 6 (Belfast): adds ASB x Belfast interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.006672,0.000834,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.01133,0.000732,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.007973,0.000642,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.013072,0.002463,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.006937,0.001467,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,2.65e-05,7.97e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,6.88e-05,7.21e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.01e-05,4.21e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,0.000104,2.39e-05,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,1.8e-05,1.28e-05,,,,,,high,squared term of ASB,ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,Age,age,A_structural,level,years,0.006723,0.000856,,,***,,,high,,ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,Age,age,A_structural,level,years,0.000851,0.000923,,,,,,high,,ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,Age,age,A_structural,level,years,-0.002881,0.001315,,,**,,,high,,ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,Age,age,A_structural,level,years,-0.005064,0.002595,,,**,,,high,,ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,Age,age,A_structural,level,years,0.003915,0.002399,,,*,,,high,,ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,Age × Age,age,A_structural,squared,years,-3.41e-05,6.4e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,Age × Age,age,A_structural,squared,years,9.6e-06,7.21e-06,,,,,,high,squared term of age,ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,Age × Age,age,A_structural,squared,years,1.9e-05,9.28e-06,,,**,,,high,squared term of age,ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,Age × Age,age,A_structural,squared,years,6.06e-05,1.95e-05,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,Age × Age,age,A_structural,squared,years,-2.86e-05,1.86e-05,,,,,,high,squared term of age,ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,Size,living_area,A_structural,level,m2,0.007221,0.000264,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,Size,living_area,A_structural,level,m2,0.010776,0.00046,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,Size,living_area,A_structural,level,m2,0.008178,0.000864,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,Size,living_area,A_structural,level,m2,0.007011,0.001226,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,Size,living_area,A_structural,level,m2,0.01103,0.000841,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,Size × Size,living_area,A_structural,squared,m2,-6.12e-06,5.23e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,Size × Size,living_area,A_structural,squared,m2,-1.4e-05,1.28e-06,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,Size × Size,living_area,A_structural,squared,m2,-5.6e-06,3.44e-06,,,*,,,high,squared term of size,ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,Size × Size,living_area,A_structural,squared,m2,-1.96e-05,3.97e-06,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,Size × Size,living_area,A_structural,squared,m2,-1.5e-05,2.39e-06,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,Parking onsite,parking,A_structural,binary,binary,-0.011208,0.043728,,,,,,high,,ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,Parking onsite,parking,A_structural,binary,binary,0.063166,0.030378,,,**,,,high,,ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,Parking onsite,parking,A_structural,binary,binary,0.027108,0.014338,,,*,,,high,,ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,Parking onsite,parking,A_structural,binary,binary,0.091669,0.02917,,,***,,,high,,ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,Rural,other,other,binary,binary,-0.079585,0.015479,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,Rural,other,other,binary,binary,-0.107333,0.021478,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,Rural,other,other,binary,binary,-0.050162,0.027596,,,*,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,Rural,other,other,binary,binary,0.044664,0.083693,,,,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,Rural,other,other,binary,binary,-0.019899,0.038885,,,,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M7,6,Model 7,10,Private,other,other,binary,binary,-0.008144,0.089321,,,,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,4018.0,0.523332,se,Model 7: detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M8,6,Model 8,10,Private,other,other,binary,binary,0.231046,0.046031,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,4990.0,0.471448,se,Model 8: semi-detached houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M9,6,Model 9,10,Private,other,other,binary,binary,0.070744,0.036865,,,**,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,3571.0,0.379724,se,Model 9: terraced houses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M10,6,Model 10,10,Private,other,other,binary,binary,0.275627,0.07613,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,520.0,0.492908,se,Model 10: apartments only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T6-M11,6,Model 11,10,Private,other,other,binary,binary,0.277295,0.067088,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,626.0,0.790389,se,Model 11: townhouses only
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.013723,0.000376,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.013102,0.000393,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.01284,0.000368,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.012497,0.000364,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.005718,0.000502,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.010956,0.000384,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,5.2e-05,2.71e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,5.2e-05,2.71e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.49e-05,2.72e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.14e-05,2.72e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,4.82e-05,2.85e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,5.57e-05,2.86e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,Age,age,A_structural,level,years,0.001584,0.000491,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,Age,age,A_structural,level,years,0.002053,0.0005,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,Age,age,A_structural,level,years,0.002412,0.00049,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,Age,age,A_structural,level,years,0.001954,0.00049,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,Age,age,A_structural,level,years,0.000785,0.000122,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,Age,age,A_structural,level,years,0.002597,0.000505,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,Age × Age,age,A_structural,squared,years,-3.94e-06,3.68e-06,,,,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,Age × Age,age,A_structural,squared,years,-3.94e-06,3.68e-06,,,,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,Age × Age,age,A_structural,squared,years,-1.05e-05,3.68e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,Age × Age,age,A_structural,squared,years,-8.68e-06,3.67e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,Age × Age,age,A_structural,squared,years,-1.42e-05,3.81e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,Age × Age,age,A_structural,squared,years,-1.04e-05,3.8e-06,,,***,,,high,squared term of age,ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,Size,living_area,A_structural,level,m2,0.007935,0.000167,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,Size,living_area,A_structural,level,m2,0.008168,0.00017,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,Size,living_area,A_structural,level,m2,0.008002,0.000168,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,Size,living_area,A_structural,level,m2,0.007704,0.000168,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,Size,living_area,A_structural,level,m2,0.005029,6.64e-05,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,Size,living_area,A_structural,level,m2,0.008321,0.00017,,,***,,,high,property size in square metres,ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,Size × Size,living_area,A_structural,squared,m2,-7.59e-06,3.77e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,Size × Size,living_area,A_structural,squared,m2,-8e-06,3.84e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,Size × Size,living_area,A_structural,squared,m2,-7.71e-06,3.77e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,Size × Size,living_area,A_structural,squared,m2,-7.26e-06,3.77e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,Size × Size,living_area,A_structural,squared,m2,-8.3e-06,3.9e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,Size × Size,living_area,A_structural,squared,m2,-8.15e-06,3.76e-07,,,***,,,high,squared term of size,ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,Parking onsite,parking,A_structural,binary,binary,0.037509,0.010415,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,Parking onsite,parking,A_structural,binary,binary,0.037509,0.010415,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,Parking onsite,parking,A_structural,binary,binary,0.055876,0.010401,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,Parking onsite,parking,A_structural,binary,binary,0.036991,0.010409,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,Parking onsite,parking,A_structural,binary,binary,0.086069,0.010858,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,Parking onsite,parking,A_structural,binary,binary,0.054918,0.010735,,,***,,,high,,ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,Rural,other,other,binary,binary,-0.057876,0.010111,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,Rural,other,other,binary,binary,-0.057876,0.010111,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,Rural,other,other,binary,binary,-0.067325,0.010103,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,Rural,other,other,binary,binary,-0.061424,0.010095,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,Rural,other,other,binary,binary,-0.064312,0.010782,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,Rural,other,other,binary,binary,-0.082464,0.010363,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M12,7,Model 12,11,Private,other,other,binary,binary,0.030205,0.023468,,,,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 12 (MDM): adds ASB x multiple deprivation rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M13,7,Model 13,11,Private,other,other,binary,binary,0.030205,0.023468,,,,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.67557,se,Model 13 (Income): adds ASB x income rank interaction (column printed identical to Model 12)
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M14,7,Model 14,11,Private,other,other,binary,binary,0.03564,0.023485,,,,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.674713,se,Model 14 (Employment): adds ASB x employment rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M15,7,Model 15,11,Private,other,other,binary,binary,0.042281,0.023409,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.675966,se,Model 15 (Education): adds ASB x education rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M16,7,Model 16,11,Private,other,other,binary,binary,0.133855,0.024722,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.651339,se,Model 16 (Access): adds ASB x access-to-services rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T7-M17,7,Model 17,11,Private,other,other,binary,binary,0.107201,0.024071,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,OLS,14521.0,0.654687,se,Model 17 (Crime): adds ASB x crime rank interaction
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M18,8,Model 18,12,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.002611,0.000755,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,spatial_lag,13421.0,0.693112,se,"Model 18 (SLM 1): spatial lag model, reformulation of Model 1 (SL term 1.418***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,ASB,crime,F_neighbourhood,level,incidents per 1000 population,-0.004122,0.000978,,,***,,,high,"ASB incidents per 1,000 population per year (SOA level)",ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,ASB-hat (instrumented),crime,F_neighbourhood,level,incidents per 1000 population,-0.004934,0.000723,,,**,,,high,"ASB incidents per 1,000 population per year (SOA level); predicted ASB from first stage (instrument: 2010 ASB)",ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,ASB × ASB,crime,F_neighbourhood,squared,incidents per 1000 population,3.42e-05,1.61e-06,,,***,,,high,squared term of ASB,ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,ASB-hat × ASB-hat (instrumented),crime,F_neighbourhood,squared,incidents per 1000 population,3.72e-05,1.43e-06,,,***,,,high,squared term of ASB; predicted ASB from first stage (instrument: 2010 ASB),ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M18,8,Model 18,12,Age,age,A_structural,level,years,0.001332,5.1e-05,,,***,,,high,,ln property price (GBP),log,spatial_lag,13421.0,0.693112,se,"Model 18 (SLM 1): spatial lag model, reformulation of Model 1 (SL term 1.418***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,Age,age,A_structural,level,years,0.002344,7e-06,,,***,,,high,,ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,Age,age,A_structural,level,years,0.002423,0.000126,,,***,,,high,,ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,Age × Age,age,A_structural,squared,years,-1.11e-05,3.01e-06,,,***,,,high,squared term of age,ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,Age × Age,age,A_structural,squared,years,-1.24e-05,1.72e-06,,,***,,,high,squared term of age,ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M18,8,Model 18,12,Size,living_area,A_structural,level,m2,0.004137,6.23e-05,,,***,,,high,property size in square metres,ln property price (GBP),log,spatial_lag,13421.0,0.693112,se,"Model 18 (SLM 1): spatial lag model, reformulation of Model 1 (SL term 1.418***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,Size,living_area,A_structural,level,m2,0.006478,0.000154,,,***,,,high,property size in square metres,ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,Size,living_area,A_structural,level,m2,0.005343,0.000243,,,***,,,high,property size in square metres,ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,Size × Size,living_area,A_structural,squared,m2,-5.21e-06,2.82e-07,,,***,,,high,squared term of size,ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,Size × Size,living_area,A_structural,squared,m2,-2.66e-06,1.23e-07,,,***,,,high,squared term of size,ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M18,8,Model 18,12,Parking onsite,parking,A_structural,binary,binary,0.077516,0.019778,,,**,,,high,,ln property price (GBP),log,spatial_lag,13421.0,0.693112,se,"Model 18 (SLM 1): spatial lag model, reformulation of Model 1 (SL term 1.418***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,Parking onsite,parking,A_structural,binary,binary,0.075456,0.006855,,,***,,,high,,ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,Parking onsite,parking,A_structural,binary,binary,0.043993,0.009233,,,***,,,high,,ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M18,8,Model 18,12,Rural,other,other,binary,binary,-0.043112,0.009224,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,spatial_lag,13421.0,0.693112,se,"Model 18 (SLM 1): spatial lag model, reformulation of Model 1 (SL term 1.418***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,Rural,other,other,binary,binary,-0.064521,0.008455,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,Rural,other,other,binary,binary,-0.068233,0.008433,,,***,,,high,rural location dummy (vs urban),ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M18,8,Model 18,12,Private,other,other,binary,binary,0.163219,0.022415,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,spatial_lag,13421.0,0.693112,se,"Model 18 (SLM 1): spatial lag model, reformulation of Model 1 (SL term 1.418***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M19,8,Model 19,12,Private,other,other,binary,binary,0.138541,0.012894,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,spatial_lag,13421.0,0.71551,se,"Model 19 (SLM 2): spatial lag model, reformulation of Model 2 (SL term 1.219***)"
cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1,cc4e9f217dbac07b4b73c8b633af8dfec0f75eb1:T8-M20,8,Model 20,12,Private,other,other,binary,binary,0.112243,0.015488,,,***,,,high,privately built dwelling (vs public housing),ln property price (GBP),log,IV,13421.0,0.703323,se,"Model 20 (2SLS): ASB instrumented by 2010 ASB, with spatial lag term (SL term 1.218***)"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,AGE,age,A_structural,level,years,-290.0,,-7.2,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,BEDROOM,bedrooms,A_structural,level,count,1781.0,,2.1,,**,,,high,,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,BATHROOM,bathrooms,A_structural,level,count,7836.0,,7.8,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,GARAGE,garage,A_structural,level,count,3312.0,,1.9,,*,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,FIREPLACE,fireplace,B_interior,level,count,551.0,,0.6,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,DCBD,cbd_distance,D_location,level,feet,-0.23,,-4.5,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,DSCH,school_distance,D_location,level,feet,1.39,,3.7,,***,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,DUGB,other,other,level,feet,-0.68,,-4.8,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,DREC,green_space,E_environment,level,feet,0.57,,1.6,,*,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,DHWYS,highway_distance,D_location,level,feet,-0.28,,-2.9,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,DEMP,employment_access,D_location,level,feet,-0.11,,-1.2,,*,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,CRIME,crime,F_neighbourhood,level,count,-8370.0,,-4.9,,***,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,EDUCATION,education_level,F_neighbourhood,level,years,1.5,,1.4,,*,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,0.0015,,3.5,,***,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T1-c1,I,1,90,TIME*SQFT,living_area,A_structural,other,sqft x month,0.207,,22.7,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,2269.0,0.53,t,Full sample 1978-1990 with UGB dummy (not extracted)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,AGE,age,A_structural,level,years,-287.0,,-7.0,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,BEDROOM,bedrooms,A_structural,level,count,1754.0,,2.0,,**,,,high,,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,BATHROOM,bathrooms,A_structural,level,count,7695.0,,7.6,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,GARAGE,garage,A_structural,level,count,3001.0,,1.7,,*,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,FIREPLACE,fireplace,B_interior,level,count,502.0,,0.5,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,DCBD,cbd_distance,D_location,level,feet,-0.23,,-4.4,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,DSCH,school_distance,D_location,level,feet,1.3,,3.5,,***,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,DUGB,other,other,level,feet,-0.67,,-4.7,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,DREC,green_space,E_environment,level,feet,0.61,,1.7,,*,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,DHWYS,highway_distance,D_location,level,feet,-0.26,,-2.7,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,DEMP,employment_access,D_location,level,feet,-0.09,,-1.0,,*,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,CRIME,crime,F_neighbourhood,level,count,-6560.0,,-3.8,,***,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,EDUCATION,education_level,F_neighbourhood,level,years,1.5,,1.4,,*,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,0.0015,,3.6,,***,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c1,II,Before-After UGB,91,TIME*SQFT,living_area,A_structural,other,sqft x month,0.207,,22.4,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, no UGB dummy"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,AGE,age,A_structural,level,years,-140.0,,-1.9,,*,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,BEDROOM,bedrooms,A_structural,level,count,149.0,,0.1,,,,,high,,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,BATHROOM,bathrooms,A_structural,level,count,11589.0,,6.9,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,GARAGE,garage,A_structural,level,count,1741.0,,0.6,,,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,FIREPLACE,fireplace,B_interior,level,count,-1628.0,,-0.9,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,DCBD,cbd_distance,D_location,level,feet,-0.11,,-1.4,,*,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,DSCH,school_distance,D_location,level,feet,0.6,,0.3,,,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,DUGB,other,other,level,feet,-0.5,,-2.1,,**,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,DREC,green_space,E_environment,level,feet,0.39,,0.6,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,DHWYS,highway_distance,D_location,level,feet,-0.43,,-2.9,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,DEMP,employment_access,D_location,level,feet,0.25,,1.6,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,CRIME,crime,F_neighbourhood,level,count,-1240.0,,-0.5,,,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,EDUCATION,education_level,F_neighbourhood,level,years,1.8,,1.1,,*,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,0.013,,6.0,,***,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c2,II,Before UGB,91,TIME*SQFT,living_area,A_structural,other,sqft x month,0.547,,6.6,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,335.0,0.62,t,Sales before UGB adoption (Jan 1978-Oct 1980)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,AGE,age,A_structural,level,years,-341.0,,-7.6,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,BEDROOM,bedrooms,A_structural,level,count,1222.0,,1.2,,*,,,high,,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,BATHROOM,bathrooms,A_structural,level,count,6277.0,,5.5,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,GARAGE,garage,A_structural,level,count,3820.0,,1.9,,*,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,FIREPLACE,fireplace,B_interior,level,count,726.0,,0.7,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,DCBD,cbd_distance,D_location,level,feet,-0.23,,-4.0,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,DSCH,school_distance,D_location,level,feet,1.3,,3.3,,***,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,DUGB,other,other,level,feet,-0.65,,-4.1,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,DREC,green_space,E_environment,level,feet,0.64,,1.6,,*,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,DHWYS,highway_distance,D_location,level,feet,-0.27,,-2.5,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,DEMP,employment_access,D_location,level,feet,-0.15,,-1.5,,*,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,CRIME,crime,F_neighbourhood,level,count,-10326.0,,-3.4,,***,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,EDUCATION,education_level,F_neighbourhood,level,years,0.87,,0.6,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,0.0013,,2.9,,***,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T2-c3,II,After UGB,91,TIME*SQFT,living_area,A_structural,other,sqft x month,0.217,,21.9,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,Sales after UGB adoption (Oct 1980-Dec 1990)
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,AGE,age,A_structural,level,years,-442.0,,-2.1,,**,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,BEDROOM,bedrooms,A_structural,level,count,-3308.0,,-0.8,,,,,high,,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,BATHROOM,bathrooms,A_structural,level,count,15800.0,,3.1,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,GARAGE,garage,A_structural,level,count,-10106.0,,-1.2,,,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,FIREPLACE,fireplace,B_interior,level,count,3107.0,,0.7,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,DCBD,cbd_distance,D_location,level,feet,0.09,,0.3,,,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,DSCH,school_distance,D_location,level,feet,2.4,,1.4,,*,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,DUGB,other,other,level,feet,0.1,,0.2,,,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,DREC,green_space,E_environment,level,feet,-0.9,,-0.6,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,DHWYS,highway_distance,D_location,level,feet,-0.09,,-0.2,,,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,DEMP,employment_access,D_location,level,feet,0.003,,0.0,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,CRIME,crime,F_neighbourhood,level,count,-25861.0,,-0.8,,,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,EDUCATION,education_level,F_neighbourhood,level,years,-0.1,,-0.03,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,0.009,,0.8,,,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c1,IV,1980-1982,97,TIME*SQFT,living_area,A_structural,other,sqft x month,0.465,,4.7,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,178.0,0.5,t,Post-UGB sub-period 1980-1982
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,AGE,age,A_structural,level,years,-160.0,,-1.6,,*,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,BEDROOM,bedrooms,A_structural,level,count,7194.0,,3.1,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,BATHROOM,bathrooms,A_structural,level,count,4280.0,,1.7,,*,,,high,,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,GARAGE,garage,A_structural,level,count,3077.0,,0.7,,,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,FIREPLACE,fireplace,B_interior,level,count,2058.0,,0.8,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,DCBD,cbd_distance,D_location,level,feet,-0.17,,-1.4,,*,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,DSCH,school_distance,D_location,level,feet,0.6,,0.7,,,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,DUGB,other,other,level,feet,-0.35,,-0.9,,,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,DREC,green_space,E_environment,level,feet,0.01,,0.01,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,DHWYS,highway_distance,D_location,level,feet,-0.07,,-0.2,,,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,DEMP,employment_access,D_location,level,feet,0.004,,0.01,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,CRIME,crime,F_neighbourhood,level,count,-103321.0,,-2.0,,**,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,EDUCATION,education_level,F_neighbourhood,level,years,-0.9,,-0.3,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,-0.002,,-2.4,,***,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c2,IV,1983-1985,97,TIME*SQFT,living_area,A_structural,other,sqft x month,0.224,,7.1,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,Post-UGB sub-period 1983-1985
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,AGE,age,A_structural,level,years,-298.0,,-2.9,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,BEDROOM,bedrooms,A_structural,level,count,6890.0,,3.2,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,BATHROOM,bathrooms,A_structural,level,count,6465.0,,2.7,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,GARAGE,garage,A_structural,level,count,3535.0,,0.7,,,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,FIREPLACE,fireplace,B_interior,level,count,-2194.0,,-1.0,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,DCBD,cbd_distance,D_location,level,feet,-0.3,,-2.4,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,DSCH,school_distance,D_location,level,feet,0.6,,0.7,,,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,DUGB,other,other,level,feet,-0.82,,-2.8,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,DREC,green_space,E_environment,level,feet,0.54,,0.6,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,DHWYS,highway_distance,D_location,level,feet,-0.28,,-1.3,,*,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,DEMP,employment_access,D_location,level,feet,-0.1,,-0.6,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,CRIME,crime,F_neighbourhood,level,count,-1947.0,,-0.04,,,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,EDUCATION,education_level,F_neighbourhood,level,years,5.3,,1.8,,*,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,0.003,,2.4,,***,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c3,IV,1986-1987,97,TIME*SQFT,living_area,A_structural,other,sqft x month,0.162,,7.6,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,Post-UGB sub-period 1986-1987
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,AGE,age,A_structural,level,years,-488.0,,-8.5,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,BEDROOM,bedrooms,A_structural,level,count,-5261.0,,-3.8,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,BATHROOM,bathrooms,A_structural,level,count,4855.0,,3.1,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,GARAGE,garage,A_structural,level,count,5586.0,,2.1,,**,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,FIREPLACE,fireplace,B_interior,level,count,988.0,,0.7,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,DCBD,cbd_distance,D_location,level,feet,-0.26,,-3.2,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,DSCH,school_distance,D_location,level,feet,1.2,,2.1,,**,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,DUGB,other,other,level,feet,-0.68,,-2.0,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,DREC,green_space,E_environment,level,feet,1.3,,2.4,,***,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,DHWYS,highway_distance,D_location,level,feet,-0.37,,-2.5,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,DEMP,employment_access,D_location,level,feet,0.2,,1.4,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,CRIME,crime,F_neighbourhood,level,count,-1920.0,,-0.2,,,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,EDUCATION,education_level,F_neighbourhood,level,years,0.5,,0.2,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,TIME*LOTSIZE,lot_size,A_structural,other,sqft x month,0.002,,4.2,,***,,,high,Interaction of lot size (sqft) with monthly time index; LOTSIZE main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T4-c4,IV,1988-1990,97,TIME*SQFT,living_area,A_structural,other,sqft x month,0.252,,21.5,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,Post-UGB sub-period 1988-1990
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,AGE,age,A_structural,level,years,-323.0,,-7.7,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,BEDROOM,bedrooms,A_structural,level,count,1849.0,,2.1,,**,,,high,,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,BATHROOM,bathrooms,A_structural,level,count,7587.0,,7.5,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,GARAGE,garage,A_structural,level,count,2630.0,,1.4,,*,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,FIREPLACE,fireplace,B_interior,level,count,513.0,,0.5,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,DCBD,cbd_distance,D_location,level,feet,-0.22,,-4.2,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,DSCH,school_distance,D_location,level,feet,1.2,,3.3,,***,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,DUGB,other,other,level,feet,-0.67,,-4.7,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,DREC,green_space,E_environment,level,feet,0.48,,1.3,,*,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,DHWYS,highway_distance,D_location,level,feet,-0.26,,-2.7,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,DEMP,employment_access,D_location,level,feet,-0.1,,-1.1,,*,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,CRIME,crime,F_neighbourhood,level,count,-6464.0,,-3.7,,***,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,EDUCATION,education_level,F_neighbourhood,level,years,1.7,,1.5,,*,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,TIME*LOTAMT,lot_size,A_structural,other,binary x month,75.0,,5.3,,***,,,high,"Interaction of large-lot dummy (>= 12,800 sqft) with monthly time index; LOTAMT main effect omitted","Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c1,VI,Before-After UGB,104,TIME*SQFT,living_area,A_structural,other,sqft x month,0.204,,22.1,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,2269.0,0.52,t,"Full sample 1978-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,AGE,age,A_structural,level,years,-173.0,,-2.2,,**,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,BEDROOM,bedrooms,A_structural,level,count,620.0,,0.4,,,,,high,,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,BATHROOM,bathrooms,A_structural,level,count,10512.0,,6.1,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,GARAGE,garage,A_structural,level,count,2280.0,,0.8,,,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,FIREPLACE,fireplace,B_interior,level,count,-296.0,,-0.1,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,DCBD,cbd_distance,D_location,level,feet,-0.13,,-1.5,,*,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,DSCH,school_distance,D_location,level,feet,1.3,,1.9,,*,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,DUGB,other,other,level,feet,-0.62,,-2.5,,**,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,DREC,green_space,E_environment,level,feet,0.33,,0.5,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,DHWYS,highway_distance,D_location,level,feet,-0.43,,-2.8,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,DEMP,employment_access,D_location,level,feet,0.17,,1.2,,*,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,CRIME,crime,F_neighbourhood,level,count,-2841.0,,-1.2,,*,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,EDUCATION,education_level,F_neighbourhood,level,years,1.5,,0.9,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,TIME*LOTAMT,lot_size,A_structural,other,binary x month,506.0,,4.3,,***,,,high,"Interaction of large-lot dummy (>= 12,800 sqft) with monthly time index; LOTAMT main effect omitted","Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c2,VI,Before UGB,104,TIME*SQFT,living_area,A_structural,other,sqft x month,0.587,,6.9,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,335.0,0.6,t,"Sales before UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,AGE,age,A_structural,level,years,-390.0,,-8.5,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,BEDROOM,bedrooms,A_structural,level,count,1335.0,,1.3,,*,,,high,,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,BATHROOM,bathrooms,A_structural,level,count,6229.0,,5.5,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,GARAGE,garage,A_structural,level,count,3320.0,,1.6,,*,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,FIREPLACE,fireplace,B_interior,level,count,686.0,,0.7,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,DCBD,cbd_distance,D_location,level,feet,-0.22,,-3.8,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,DSCH,school_distance,D_location,level,feet,1.2,,3.0,,***,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,DUGB,other,other,level,feet,-0.63,,-4.0,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,DREC,green_space,E_environment,level,feet,0.48,,1.2,,*,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,DHWYS,highway_distance,D_location,level,feet,-0.27,,-2.5,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,DEMP,employment_access,D_location,level,feet,-0.16,,-1.5,,*,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,CRIME,crime,F_neighbourhood,level,count,-9765.0,,-3.2,,***,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,EDUCATION,education_level,F_neighbourhood,level,years,1.1,,0.8,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,TIME*LOTAMT,lot_size,A_structural,other,binary x month,77.0,,5.3,,***,,,high,"Interaction of large-lot dummy (>= 12,800 sqft) with monthly time index; LOTAMT main effect omitted","Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T6-c3,VI,After UGB,104,TIME*SQFT,living_area,A_structural,other,sqft x month,0.211,,21.5,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,1934.0,0.53,t,"Sales after UGB adoption, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,AGE,age,A_structural,level,years,-390.0,,-1.8,,*,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,BEDROOM,bedrooms,A_structural,level,count,-3127.0,,-0.8,,,,,high,,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,BATHROOM,bathrooms,A_structural,level,count,15922.0,,3.1,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,GARAGE,garage,A_structural,level,count,-9105.0,,-1.1,,,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,FIREPLACE,fireplace,B_interior,level,count,3358.0,,0.8,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,DCBD,cbd_distance,D_location,level,feet,0.08,,0.3,,,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,DSCH,school_distance,D_location,level,feet,2.7,,1.6,,*,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,DUGB,other,other,level,feet,0.1,,0.1,,,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,DREC,green_space,E_environment,level,feet,-0.9,,-0.6,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,DHWYS,highway_distance,D_location,level,feet,-0.1,,-0.2,,,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,DEMP,employment_access,D_location,level,feet,-0.001,,-0.0,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,CRIME,crime,F_neighbourhood,level,count,-23783.0,,-0.7,,,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,EDUCATION,education_level,F_neighbourhood,level,years,-0.4,,-0.09,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,TIME*LOTAMT,lot_size,A_structural,other,binary x month,20.0,,0.1,,,,,high,"Interaction of large-lot dummy (>= 12,800 sqft) with monthly time index; LOTAMT main effect omitted","Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c1,VII,1980-1982,105,TIME*SQFT,living_area,A_structural,other,sqft x month,0.481,,4.8,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,178.0,0.49,t,"Post-UGB sub-period 1980-1982, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,AGE,age,A_structural,level,years,-216.0,,-2.1,,*,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,BEDROOM,bedrooms,A_structural,level,count,8005.0,,3.5,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,BATHROOM,bathrooms,A_structural,level,count,4514.0,,1.8,,*,,,high,,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,GARAGE,garage,A_structural,level,count,2150.0,,0.5,,,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,FIREPLACE,fireplace,B_interior,level,count,1226.0,,0.5,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,DCBD,cbd_distance,D_location,level,feet,-0.21,,-1.6,,*,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,DSCH,school_distance,D_location,level,feet,0.03,,0.03,,,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,DUGB,other,other,level,feet,-0.35,,-0.9,,,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,DREC,green_space,E_environment,level,feet,0.14,,0.16,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,DHWYS,highway_distance,D_location,level,feet,-0.07,,-0.3,,,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,DEMP,employment_access,D_location,level,feet,0.05,,0.2,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,CRIME,crime,F_neighbourhood,level,count,-104495.0,,-2.0,,**,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,EDUCATION,education_level,F_neighbourhood,level,years,-0.9,,-0.3,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,TIME*LOTAMT,lot_size,A_structural,other,binary x month,58.0,,1.3,,*,,,high,"Interaction of large-lot dummy (>= 12,800 sqft) with monthly time index; LOTAMT main effect omitted","Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c2,VII,1983-1985,105,TIME*SQFT,living_area,A_structural,other,sqft x month,0.179,,6.0,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,400.0,0.41,t,"Post-UGB sub-period 1983-1985, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,AGE,age,A_structural,level,years,-293.0,,-2.8,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,BEDROOM,bedrooms,A_structural,level,count,7115.0,,3.3,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,BATHROOM,bathrooms,A_structural,level,count,6743.0,,2.8,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,GARAGE,garage,A_structural,level,count,5137.0,,1.1,,*,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,FIREPLACE,fireplace,B_interior,level,count,-2054.0,,-0.9,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,DCBD,cbd_distance,D_location,level,feet,-0.3,,-2.3,,**,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,DSCH,school_distance,D_location,level,feet,0.6,,0.7,,,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,DUGB,other,other,level,feet,-0.8,,-2.7,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,DREC,green_space,E_environment,level,feet,0.59,,0.7,,,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,DHWYS,highway_distance,D_location,level,feet,-0.27,,-1.2,,*,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,DEMP,employment_access,D_location,level,feet,-0.1,,-0.6,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,CRIME,crime,F_neighbourhood,level,count,-1269.0,,-0.02,,,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,EDUCATION,education_level,F_neighbourhood,level,years,5.1,,1.7,,*,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,TIME*LOTAMT,lot_size,A_structural,other,binary x month,66.0,,2.2,,**,,,high,"Interaction of large-lot dummy (>= 12,800 sqft) with monthly time index; LOTAMT main effect omitted","Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c3,VII,1986-1987,105,TIME*SQFT,living_area,A_structural,other,sqft x month,0.159,,7.4,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,459.0,0.47,t,"Post-UGB sub-period 1986-1987, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,AGE,age,A_structural,level,years,-529.0,,-8.9,,***,,,high,Age of house in years at sale,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,BEDROOM,bedrooms,A_structural,level,count,-4814.0,,-3.5,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,BATHROOM,bathrooms,A_structural,level,count,4276.0,,2.8,,***,,,high,,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,GARAGE,garage,A_structural,level,count,4801.0,,1.8,,*,,,high,Number of garage spaces,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,FIREPLACE,fireplace,B_interior,level,count,835.0,,0.6,,,,,high,Number of fireplaces,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,DCBD,cbd_distance,D_location,level,feet,-0.24,,-3.1,,***,,,high,Straight-line distance to Portland CBD in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,DSCH,school_distance,D_location,level,feet,1.1,,2.0,,**,,,high,Distance to nearest elementary school in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,DUGB,other,other,level,feet,-0.72,,-3.2,,***,,,high,Distance to the urban growth boundary in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,DREC,green_space,E_environment,level,feet,1.1,,2.0,,**,,,high,Distance to nearest public park in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,DHWYS,highway_distance,D_location,level,feet,-0.39,,-2.7,,***,,,high,"Distance to nearest major highway (I-5, SR-26, I-217) in feet","Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,DEMP,employment_access,D_location,level,feet,0.2,,1.5,,,,,high,Distance to nearest of five employment centres in feet,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,CRIME,crime,F_neighbourhood,level,count,-130.0,,-0.01,,,,,high,"Annual county-wide count of burglaries, motor-vehicle thefts and vandalism in year of sale (time series, not neighbourhood-level)","Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,EDUCATION,education_level,F_neighbourhood,level,years,0.5,,0.3,,,,,high,Years of education of census-tract residents,"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,TIME*LOTAMT,lot_size,A_structural,other,binary x month,75.0,,4.5,,***,,,high,"Interaction of large-lot dummy (>= 12,800 sqft) with monthly time index; LOTAMT main effect omitted","Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d,d37971d97af2ef251a0da6b9c73ae5f307074e7d:T7-c4,VII,1988-1990,105,TIME*SQFT,living_area,A_structural,other,sqft x month,0.25,,21.4,,***,,,high,Interaction of interior square footage with monthly time index; SQFT main effect omitted (collinearity),"Sale price of house (USD, nominal)",level,OLS,897.0,0.67,t,"Post-UGB sub-period 1988-1990, TIME*LOTAMT specification"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Living area,living_area,A_structural,level,1000 sqft,0.32,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Living area,living_area,A_structural,level,1000 sqft,0.286,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Living area,living_area,A_structural,level,1000 sqft,0.307,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Living area,living_area,A_structural,level,1000 sqft,0.321,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Living area,living_area,A_structural,level,1000 sqft,0.341,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Living area,living_area,A_structural,level,1000 sqft,0.348,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Lot area,lot_size,A_structural,level,1000 sqft,0.021,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Lot area,lot_size,A_structural,level,1000 sqft,0.008,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Lot area,lot_size,A_structural,level,1000 sqft,0.013,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Lot area,lot_size,A_structural,level,1000 sqft,0.02,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Lot area,lot_size,A_structural,level,1000 sqft,0.026,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Lot area,lot_size,A_structural,level,1000 sqft,0.038,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Bedrooms,bedrooms,A_structural,level,count,-0.019,0.002,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Bedrooms,bedrooms,A_structural,level,count,-0.009,0.003,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Bedrooms,bedrooms,A_structural,level,count,-0.012,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Bedrooms,bedrooms,A_structural,level,count,-0.012,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Bedrooms,bedrooms,A_structural,level,count,-0.014,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Bedrooms,bedrooms,A_structural,level,count,-0.018,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Bathrooms (Full),bathrooms,A_structural,level,count,0.003,0.002,,,,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Bathrooms (Full),bathrooms,A_structural,level,count,-0.01,0.004,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Bathrooms (Full),bathrooms,A_structural,level,count,0.002,0.003,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Bathrooms (Full),bathrooms,A_structural,level,count,0.005,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Bathrooms (Full),bathrooms,A_structural,level,count,0.004,0.002,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Bathrooms (Full),bathrooms,A_structural,level,count,0.01,0.003,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Age,age,A_structural,level,years,-0.0,0.0,,,,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,One story,storeys,A_structural,binary,binary,-0.093,0.007,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,One story,storeys,A_structural,binary,binary,-0.062,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,One story,storeys,A_structural,binary,binary,-0.076,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,One story,storeys,A_structural,binary,binary,-0.081,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,One story,storeys,A_structural,binary,binary,-0.087,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,One story,storeys,A_structural,binary,binary,-0.099,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Renovated,renovation,A_structural,binary,binary,-0.046,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Renovated,renovation,A_structural,binary,binary,-0.275,0.017,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Renovated,renovation,A_structural,binary,binary,-0.107,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Renovated,renovation,A_structural,binary,binary,-0.006,0.006,,,,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Renovated,renovation,A_structural,binary,binary,0.025,0.005,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Renovated,renovation,A_structural,binary,binary,0.047,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Fireplace,fireplace,B_interior,binary,binary,0.04,0.005,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Fireplace,fireplace,B_interior,binary,binary,0.062,0.008,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Fireplace,fireplace,B_interior,binary,binary,0.041,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Fireplace,fireplace,B_interior,binary,binary,0.029,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Fireplace,fireplace,B_interior,binary,binary,0.02,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Fireplace,fireplace,B_interior,binary,binary,0.014,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Lake/Mountain view,view,E_environment,binary,binary,0.105,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Lake/Mountain view,view,E_environment,binary,binary,0.065,0.007,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Lake/Mountain view,view,E_environment,binary,binary,0.069,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Lake/Mountain view,view,E_environment,binary,binary,0.081,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Lake/Mountain view,view,E_environment,binary,binary,0.104,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Lake/Mountain view,view,E_environment,binary,binary,0.176,0.008,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.012,0.005,,,**,,,high,Census tract population level,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.027,0.008,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.0,0.006,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.014,0.004,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.022,0.004,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.027,0.007,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,% Male population,demographics,F_neighbourhood,level,share,0.726,0.153,,,***,,,high,Share of males in census tract,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,% Male population,demographics,F_neighbourhood,level,share,1.706,0.206,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,% Male population,demographics,F_neighbourhood,level,share,1.043,0.1,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,% Male population,demographics,F_neighbourhood,level,share,0.762,0.093,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,% Male population,demographics,F_neighbourhood,level,share,0.521,0.101,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,% Male population,demographics,F_neighbourhood,level,share,1.083,0.237,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,% White population,demographics,F_neighbourhood,level,share,0.793,0.034,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,% White population,demographics,F_neighbourhood,level,share,1.093,0.163,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,% White population,demographics,F_neighbourhood,level,share,0.792,0.022,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,% White population,demographics,F_neighbourhood,level,share,0.78,0.024,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,% White population,demographics,F_neighbourhood,level,share,0.773,0.019,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,% White population,demographics,F_neighbourhood,level,share,0.749,0.026,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,% Asian population,demographics,F_neighbourhood,level,share,0.043,0.032,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,% Asian population,demographics,F_neighbourhood,level,share,0.08,0.149,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,% Asian population,demographics,F_neighbourhood,level,share,0.011,0.023,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,% Asian population,demographics,F_neighbourhood,level,share,0.088,0.035,,,**,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,% Asian population,demographics,F_neighbourhood,level,share,0.16,0.022,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,% Asian population,demographics,F_neighbourhood,level,share,0.23,0.053,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,% Old population,demographics,F_neighbourhood,level,share,0.283,0.042,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,% Old population,demographics,F_neighbourhood,level,share,0.427,0.107,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,% Old population,demographics,F_neighbourhood,level,share,0.124,0.04,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,% Old population,demographics,F_neighbourhood,level,share,0.08,0.029,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,% Old population,demographics,F_neighbourhood,level,share,0.078,0.031,,,**,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,% Old population,demographics,F_neighbourhood,level,share,0.372,0.057,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.828,0.347,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.117,0.79,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.948,0.17,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.798,0.176,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.757,0.136,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.104,0.183,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c1,6,(1) 2SLS,30,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.072,0.003,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c2,6,(2) Q: 0.05,30,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.072,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c3,6,(3) Q: 0.25,30,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.068,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c4,6,(4) Q: 0.50,30,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.07,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c5,6,(5) Q: 0.75,30,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.073,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T6-c6,6,(6) Q: 0.95,30,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.084,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Without spatial autocorrelation adjustment; 911 calls as IV for number of crimes; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Living area,living_area,A_structural,level,1000 sqft,0.261,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Living area,living_area,A_structural,level,1000 sqft,0.241,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Living area,living_area,A_structural,level,1000 sqft,0.252,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Living area,living_area,A_structural,level,1000 sqft,0.267,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Living area,living_area,A_structural,level,1000 sqft,0.286,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Living area,living_area,A_structural,level,1000 sqft,0.299,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Lot area,lot_size,A_structural,level,1000 sqft,0.008,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Lot area,lot_size,A_structural,level,1000 sqft,0.014,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Lot area,lot_size,A_structural,level,1000 sqft,0.022,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Lot area,lot_size,A_structural,level,1000 sqft,0.034,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Bedrooms,bedrooms,A_structural,level,count,-0.007,0.001,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Bedrooms,bedrooms,A_structural,level,count,-0.0,0.004,,,,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,*,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,*,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,*,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Bathrooms (Full),bathrooms,A_structural,level,count,-0.007,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Bathrooms (Full),bathrooms,A_structural,level,count,0.006,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Bathrooms (Full),bathrooms,A_structural,level,count,0.015,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Age,age,A_structural,level,years,-0.002,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,One story,storeys,A_structural,binary,binary,-0.076,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,One story,storeys,A_structural,binary,binary,-0.053,0.007,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,One story,storeys,A_structural,binary,binary,-0.064,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,One story,storeys,A_structural,binary,binary,-0.067,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,One story,storeys,A_structural,binary,binary,-0.071,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,One story,storeys,A_structural,binary,binary,-0.084,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Renovated,renovation,A_structural,binary,binary,-0.028,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Renovated,renovation,A_structural,binary,binary,-0.264,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Renovated,renovation,A_structural,binary,binary,-0.102,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Renovated,renovation,A_structural,binary,binary,0.021,0.006,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Renovated,renovation,A_structural,binary,binary,0.048,0.002,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Renovated,renovation,A_structural,binary,binary,0.069,0.01,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Fireplace,fireplace,B_interior,binary,binary,0.025,0.004,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Fireplace,fireplace,B_interior,binary,binary,0.044,0.007,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Fireplace,fireplace,B_interior,binary,binary,0.025,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Fireplace,fireplace,B_interior,binary,binary,0.013,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Fireplace,fireplace,B_interior,binary,binary,0.01,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Fireplace,fireplace,B_interior,binary,binary,0.007,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Lake/Mountain view,view,E_environment,binary,binary,0.063,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Lake/Mountain view,view,E_environment,binary,binary,0.037,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Lake/Mountain view,view,E_environment,binary,binary,0.036,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Lake/Mountain view,view,E_environment,binary,binary,0.047,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Lake/Mountain view,view,E_environment,binary,binary,0.059,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Lake/Mountain view,view,E_environment,binary,binary,0.107,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.001,0.002,,,,,,high,Census tract population level,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.017,0.013,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.005,0.003,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.001,0.004,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.003,0.004,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.013,0.005,,,**,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,% Male population,demographics,F_neighbourhood,level,share,-0.188,0.099,,,*,,,high,Share of males in census tract,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,% Male population,demographics,F_neighbourhood,level,share,-0.241,0.234,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,% Male population,demographics,F_neighbourhood,level,share,0.07,0.06,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,% Male population,demographics,F_neighbourhood,level,share,0.052,0.079,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,% Male population,demographics,F_neighbourhood,level,share,0.009,0.074,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,% Male population,demographics,F_neighbourhood,level,share,0.377,0.142,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,% White population,demographics,F_neighbourhood,level,share,0.605,0.029,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,% White population,demographics,F_neighbourhood,level,share,0.883,0.067,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,% White population,demographics,F_neighbourhood,level,share,0.626,0.018,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,% White population,demographics,F_neighbourhood,level,share,0.557,0.015,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,% White population,demographics,F_neighbourhood,level,share,0.52,0.018,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,% White population,demographics,F_neighbourhood,level,share,0.458,0.02,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,% Asian population,demographics,F_neighbourhood,level,share,0.147,0.016,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,% Asian population,demographics,F_neighbourhood,level,share,0.234,0.104,,,**,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,% Asian population,demographics,F_neighbourhood,level,share,0.102,0.031,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,% Asian population,demographics,F_neighbourhood,level,share,0.129,0.027,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,% Asian population,demographics,F_neighbourhood,level,share,0.152,0.019,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,% Asian population,demographics,F_neighbourhood,level,share,0.151,0.032,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,% Old population,demographics,F_neighbourhood,level,share,-0.167,0.028,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,% Old population,demographics,F_neighbourhood,level,share,-0.246,0.053,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,% Old population,demographics,F_neighbourhood,level,share,-0.184,0.03,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,% Old population,demographics,F_neighbourhood,level,share,-0.206,0.025,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,% Old population,demographics,F_neighbourhood,level,share,-0.227,0.015,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,% Old population,demographics,F_neighbourhood,level,share,-0.222,0.032,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.73,0.148,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),1.294,0.31,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.599,0.094,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.373,0.1,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.214,0.118,,,*,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.111,0.126,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c1,7 Panel A,(1) 2SLS,34,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.038,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c2,7 Panel A,(2) Q: 0.05,34,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.036,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c3,7 Panel A,(3) Q: 0.25,34,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.038,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c4,7 Panel A,(4) Q: 0.50,34,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.04,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c5,7 Panel A,(5) Q: 0.75,34,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.042,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7A-c6,7 Panel A,(6) Q: 0.95,34,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.046,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial autocorrelation adjustment (log WY spatial lag of neighbour prices as regressor); 911 calls as IV; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Living area,living_area,A_structural,level,1000 sqft,0.26,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Living area,living_area,A_structural,level,1000 sqft,0.237,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Living area,living_area,A_structural,level,1000 sqft,0.252,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Living area,living_area,A_structural,level,1000 sqft,0.266,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Living area,living_area,A_structural,level,1000 sqft,0.285,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Living area,living_area,A_structural,level,1000 sqft,0.299,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Lot area,lot_size,A_structural,level,1000 sqft,0.005,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Lot area,lot_size,A_structural,level,1000 sqft,0.013,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Lot area,lot_size,A_structural,level,1000 sqft,0.017,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Lot area,lot_size,A_structural,level,1000 sqft,0.022,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Lot area,lot_size,A_structural,level,1000 sqft,0.034,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.001,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Bedrooms,bedrooms,A_structural,level,count,-0.003,0.004,,,,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Bedrooms,bedrooms,A_structural,level,count,-0.003,0.001,,,*,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Bedrooms,bedrooms,A_structural,level,count,-0.003,0.001,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Bedrooms,bedrooms,A_structural,level,count,-0.003,0.001,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Bathrooms (Full),bathrooms,A_structural,level,count,-0.006,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Bathrooms (Full),bathrooms,A_structural,level,count,0.005,0.003,,,*,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Bathrooms (Full),bathrooms,A_structural,level,count,0.014,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Age,age,A_structural,level,years,-0.002,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,One story,storeys,A_structural,binary,binary,-0.08,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,One story,storeys,A_structural,binary,binary,-0.061,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,One story,storeys,A_structural,binary,binary,-0.068,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,One story,storeys,A_structural,binary,binary,-0.07,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,One story,storeys,A_structural,binary,binary,-0.072,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,One story,storeys,A_structural,binary,binary,-0.085,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Renovated,renovation,A_structural,binary,binary,-0.028,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Renovated,renovation,A_structural,binary,binary,-0.262,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Renovated,renovation,A_structural,binary,binary,-0.104,0.017,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Renovated,renovation,A_structural,binary,binary,0.021,0.006,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Renovated,renovation,A_structural,binary,binary,0.048,0.003,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Renovated,renovation,A_structural,binary,binary,0.07,0.009,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Fireplace,fireplace,B_interior,binary,binary,0.025,0.004,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Fireplace,fireplace,B_interior,binary,binary,0.047,0.005,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Fireplace,fireplace,B_interior,binary,binary,0.026,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Fireplace,fireplace,B_interior,binary,binary,0.014,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Fireplace,fireplace,B_interior,binary,binary,0.01,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Fireplace,fireplace,B_interior,binary,binary,0.006,0.003,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Lake/Mountain view,view,E_environment,binary,binary,0.063,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Lake/Mountain view,view,E_environment,binary,binary,0.036,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Lake/Mountain view,view,E_environment,binary,binary,0.037,0.002,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Lake/Mountain view,view,E_environment,binary,binary,0.046,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Lake/Mountain view,view,E_environment,binary,binary,0.06,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Lake/Mountain view,view,E_environment,binary,binary,0.107,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.012,0.002,,,***,,,high,Census tract population level,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.011,0.009,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.012,0.002,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.015,0.003,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.009,0.003,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.015,0.005,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,% Male population,demographics,F_neighbourhood,level,share,0.307,0.07,,,***,,,high,Share of males in census tract,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,% Male population,demographics,F_neighbourhood,level,share,0.787,0.128,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,% Male population,demographics,F_neighbourhood,level,share,0.525,0.041,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,% Male population,demographics,F_neighbourhood,level,share,0.44,0.047,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,% Male population,demographics,F_neighbourhood,level,share,0.274,0.062,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,% Male population,demographics,F_neighbourhood,level,share,0.465,0.106,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,% White population,demographics,F_neighbourhood,level,share,0.455,0.023,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,% White population,demographics,F_neighbourhood,level,share,0.602,0.037,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,% White population,demographics,F_neighbourhood,level,share,0.476,0.017,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,% White population,demographics,F_neighbourhood,level,share,0.454,0.012,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,% White population,demographics,F_neighbourhood,level,share,0.449,0.014,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,% White population,demographics,F_neighbourhood,level,share,0.41,0.021,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,% Asian population,demographics,F_neighbourhood,level,share,0.006,0.028,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,% Asian population,demographics,F_neighbourhood,level,share,0.021,0.053,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,% Asian population,demographics,F_neighbourhood,level,share,-0.026,0.029,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,% Asian population,demographics,F_neighbourhood,level,share,0.041,0.022,,,*,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,% Asian population,demographics,F_neighbourhood,level,share,0.078,0.018,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,% Asian population,demographics,F_neighbourhood,level,share,0.097,0.039,,,**,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,% Old population,demographics,F_neighbourhood,level,share,-0.183,0.022,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,% Old population,demographics,F_neighbourhood,level,share,-0.172,0.044,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,% Old population,demographics,F_neighbourhood,level,share,-0.212,0.027,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,% Old population,demographics,F_neighbourhood,level,share,-0.223,0.022,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,% Old population,demographics,F_neighbourhood,level,share,-0.222,0.015,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,% Old population,demographics,F_neighbourhood,level,share,-0.214,0.026,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Number of crimes—violent,crime,F_neighbourhood,level,violent crimes per capita (tract),-2.139,0.455,,,***,,,high,Violent crimes per tract population (not instrumented),Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Number of crimes—violent,crime,F_neighbourhood,level,violent crimes per capita (tract),-3.152,0.578,,,***,,,high,Violent crimes per tract population (not instrumented),Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Number of crimes—violent,crime,F_neighbourhood,level,violent crimes per capita (tract),-2.447,0.322,,,***,,,high,Violent crimes per tract population (not instrumented),Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Number of crimes—violent,crime,F_neighbourhood,level,violent crimes per capita (tract),-2.13,0.211,,,***,,,high,Violent crimes per tract population (not instrumented),Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Number of crimes—violent,crime,F_neighbourhood,level,violent crimes per capita (tract),-1.472,0.151,,,***,,,high,Violent crimes per tract population (not instrumented),Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Number of crimes—violent,crime,F_neighbourhood,level,violent crimes per capita (tract),-1.577,0.331,,,***,,,high,Violent crimes per tract population (not instrumented),Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c1,7 Panel B,(1) 2SLS,35,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.04,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; 2SLS; SE clustered by year and month"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c2,7 Panel B,(2) Q: 0.05,35,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.04,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.05; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c3,7 Panel B,(3) Q: 0.25,35,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.039,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.25; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c4,7 Panel B,(4) Q: 0.50,35,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.041,0.0,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.50; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c5,7 Panel B,(5) Q: 0.75,35,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.043,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.75; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7B-c6,7 Panel B,(6) Q: 0.95,35,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.046,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,"With spatial lag of neighbour prices; violent crimes (exogenous, OLS/quantile); year + month dummies; quantile regression at tau=0.95; SE bootstrap"
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,35,Living area,living_area,A_structural,level,1000 sqft,0.268,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,35,Living area,living_area,A_structural,level,1000 sqft,0.252,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,35,Living area,living_area,A_structural,level,1000 sqft,0.259,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,35,Living area,living_area,A_structural,level,1000 sqft,0.276,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,35,Living area,living_area,A_structural,level,1000 sqft,0.288,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,35,Living area,living_area,A_structural,level,1000 sqft,0.302,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,35,Lot area,lot_size,A_structural,level,1000 sqft,0.013,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,35,Lot area,lot_size,A_structural,level,1000 sqft,-0.0,0.001,,,,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,35,Lot area,lot_size,A_structural,level,1000 sqft,0.009,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,35,Lot area,lot_size,A_structural,level,1000 sqft,0.012,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,35,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,35,Lot area,lot_size,A_structural,level,1000 sqft,0.03,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,35,Bedrooms,bedrooms,A_structural,level,count,-0.011,0.002,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,35,Bedrooms,bedrooms,A_structural,level,count,-0.009,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,35,Bedrooms,bedrooms,A_structural,level,count,-0.007,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,35,Bedrooms,bedrooms,A_structural,level,count,-0.006,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,35,Bedrooms,bedrooms,A_structural,level,count,-0.004,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,35,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.005,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Bathrooms (Full),bathrooms,A_structural,level,count,-0.012,0.005,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.0,0.001,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.005,0.002,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.016,0.003,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Age,age,A_structural,level,years,-0.0,0.0,,,,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,One story,storeys,A_structural,binary,binary,-0.08,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,One story,storeys,A_structural,binary,binary,-0.066,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,One story,storeys,A_structural,binary,binary,-0.068,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,One story,storeys,A_structural,binary,binary,-0.067,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,One story,storeys,A_structural,binary,binary,-0.071,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,One story,storeys,A_structural,binary,binary,-0.085,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Renovated,renovation,A_structural,binary,binary,-0.031,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Renovated,renovation,A_structural,binary,binary,-0.259,0.01,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Renovated,renovation,A_structural,binary,binary,-0.103,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Renovated,renovation,A_structural,binary,binary,0.015,0.008,,,*,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Renovated,renovation,A_structural,binary,binary,0.049,0.003,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Renovated,renovation,A_structural,binary,binary,0.065,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Fireplace,fireplace,B_interior,binary,binary,0.031,0.005,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Fireplace,fireplace,B_interior,binary,binary,0.061,0.006,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Fireplace,fireplace,B_interior,binary,binary,0.031,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Fireplace,fireplace,B_interior,binary,binary,0.016,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Fireplace,fireplace,B_interior,binary,binary,0.014,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Fireplace,fireplace,B_interior,binary,binary,0.01,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Lake/Mountain view,view,E_environment,binary,binary,0.06,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Lake/Mountain view,view,E_environment,binary,binary,0.039,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Lake/Mountain view,view,E_environment,binary,binary,0.04,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Lake/Mountain view,view,E_environment,binary,binary,0.045,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Lake/Mountain view,view,E_environment,binary,binary,0.053,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Lake/Mountain view,view,E_environment,binary,binary,0.093,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Δ Population,density,F_neighbourhood,other,annual change (log difference),-6.758,1.261,,,***,,,high,Annual change in tract population,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Δ Population,density,F_neighbourhood,other,annual change (log difference),-7.272,1.1,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Δ Population,density,F_neighbourhood,other,annual change (log difference),-8.306,0.488,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Δ Population,density,F_neighbourhood,other,annual change (log difference),-6.953,0.637,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Δ Population,density,F_neighbourhood,other,annual change (log difference),-6.174,0.737,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Δ Population,density,F_neighbourhood,other,annual change (log difference),-7.3,0.742,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Δ Male population,demographics,F_neighbourhood,other,annual change in share,0.541,1.205,,,,,,high,Annual change in male share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Δ Male population,demographics,F_neighbourhood,other,annual change in share,-0.057,1.394,,,,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Δ Male population,demographics,F_neighbourhood,other,annual change in share,1.574,0.632,,,**,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Δ Male population,demographics,F_neighbourhood,other,annual change in share,0.607,0.503,,,,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Δ Male population,demographics,F_neighbourhood,other,annual change in share,0.403,0.497,,,,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Δ Male population,demographics,F_neighbourhood,other,annual change in share,2.223,0.691,,,***,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.432,0.952,,,***,,,high,Annual change in white share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.445,0.238,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.56,0.218,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.744,0.307,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.715,0.263,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.541,0.282,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,3.347,0.259,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,4.176,0.234,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,3.646,0.085,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,3.242,0.062,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,2.895,0.076,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,2.525,0.141,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.652,0.301,,,**,,,high,Annual change in old-population share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.968,0.251,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.867,0.095,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.741,0.091,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.581,0.058,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.404,0.098,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Δ Crimes—violent,crime,F_neighbourhood,other,annual log change in violent crime count,-0.002,0.009,,,,,,high,Change in violent crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Δ Crimes—violent,crime,F_neighbourhood,other,annual log change in violent crime count,0.002,0.011,,,,,,high,Change in violent crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Δ Crimes—violent,crime,F_neighbourhood,other,annual log change in violent crime count,0.002,0.002,,,,,,high,Change in violent crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Δ Crimes—violent,crime,F_neighbourhood,other,annual log change in violent crime count,0.0,0.004,,,,,,high,Change in violent crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Δ Crimes—violent,crime,F_neighbourhood,other,annual log change in violent crime count,-0.0,0.002,,,,,,high,Change in violent crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Δ Crimes—violent,crime,F_neighbourhood,other,annual log change in violent crime count,0.005,0.003,,,*,,,high,Change in violent crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c1,7 Panel C,(1) 2SLS,36,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.031,0.004,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c2,7 Panel C,(2) Q: 0.05,36,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.028,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c3,7 Panel C,(3) Q: 0.25,36,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.032,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c4,7 Panel C,(4) Q: 0.50,36,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.032,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c5,7 Panel C,(5) Q: 0.75,36,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.034,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7C-c6,7 Panel C,(6) Q: 0.95,36,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.037,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in violent crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,36,Living area,living_area,A_structural,level,1000 sqft,0.268,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,36,Living area,living_area,A_structural,level,1000 sqft,0.252,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,36,Living area,living_area,A_structural,level,1000 sqft,0.259,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,36,Living area,living_area,A_structural,level,1000 sqft,0.276,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,36,Living area,living_area,A_structural,level,1000 sqft,0.288,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,36,Living area,living_area,A_structural,level,1000 sqft,0.302,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,36,Lot area,lot_size,A_structural,level,1000 sqft,0.013,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,36,Lot area,lot_size,A_structural,level,1000 sqft,-0.001,0.001,,,,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,36,Lot area,lot_size,A_structural,level,1000 sqft,0.009,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,36,Lot area,lot_size,A_structural,level,1000 sqft,0.012,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,36,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,36,Lot area,lot_size,A_structural,level,1000 sqft,0.03,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,36,Bedrooms,bedrooms,A_structural,level,count,-0.011,0.002,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,36,Bedrooms,bedrooms,A_structural,level,count,-0.009,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,36,Bedrooms,bedrooms,A_structural,level,count,-0.007,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,36,Bedrooms,bedrooms,A_structural,level,count,-0.006,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,36,Bedrooms,bedrooms,A_structural,level,count,-0.004,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,36,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.005,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,36,Bathrooms (Full),bathrooms,A_structural,level,count,-0.012,0.005,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.0,0.001,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.005,0.002,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,36,Bathrooms (Full),bathrooms,A_structural,level,count,0.016,0.003,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,36,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,36,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,36,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,36,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,36,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,36,Age,age,A_structural,level,years,-0.0,0.0,,,,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,36,One story,storeys,A_structural,binary,binary,-0.08,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,36,One story,storeys,A_structural,binary,binary,-0.066,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,36,One story,storeys,A_structural,binary,binary,-0.068,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,36,One story,storeys,A_structural,binary,binary,-0.067,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,36,One story,storeys,A_structural,binary,binary,-0.071,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,36,One story,storeys,A_structural,binary,binary,-0.085,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Renovated,renovation,A_structural,binary,binary,-0.031,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Renovated,renovation,A_structural,binary,binary,-0.26,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Renovated,renovation,A_structural,binary,binary,-0.103,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Renovated,renovation,A_structural,binary,binary,0.014,0.007,,,*,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Renovated,renovation,A_structural,binary,binary,0.049,0.003,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Renovated,renovation,A_structural,binary,binary,0.066,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Fireplace,fireplace,B_interior,binary,binary,0.031,0.005,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Fireplace,fireplace,B_interior,binary,binary,0.061,0.006,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Fireplace,fireplace,B_interior,binary,binary,0.031,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Fireplace,fireplace,B_interior,binary,binary,0.016,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Fireplace,fireplace,B_interior,binary,binary,0.014,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Fireplace,fireplace,B_interior,binary,binary,0.01,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Lake/Mountain view,view,E_environment,binary,binary,0.06,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Lake/Mountain view,view,E_environment,binary,binary,0.04,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Lake/Mountain view,view,E_environment,binary,binary,0.04,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Lake/Mountain view,view,E_environment,binary,binary,0.045,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Lake/Mountain view,view,E_environment,binary,binary,0.054,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Lake/Mountain view,view,E_environment,binary,binary,0.093,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Δ Population,density,F_neighbourhood,other,annual change (log difference),-6.743,1.257,,,***,,,high,Annual change in tract population,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Δ Population,density,F_neighbourhood,other,annual change (log difference),-7.292,1.092,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Δ Population,density,F_neighbourhood,other,annual change (log difference),-8.304,0.527,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Δ Population,density,F_neighbourhood,other,annual change (log difference),-6.972,0.616,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Δ Population,density,F_neighbourhood,other,annual change (log difference),-6.166,0.733,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Δ Population,density,F_neighbourhood,other,annual change (log difference),-7.275,0.749,,,***,,,high,Annual change in tract population,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Δ Male population,demographics,F_neighbourhood,other,annual change in share,0.513,1.207,,,,,,high,Annual change in male share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Δ Male population,demographics,F_neighbourhood,other,annual change in share,-0.079,1.382,,,,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Δ Male population,demographics,F_neighbourhood,other,annual change in share,1.57,0.626,,,**,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Δ Male population,demographics,F_neighbourhood,other,annual change in share,0.618,0.532,,,,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Δ Male population,demographics,F_neighbourhood,other,annual change in share,0.37,0.539,,,,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Δ Male population,demographics,F_neighbourhood,other,annual change in share,2.208,0.674,,,***,,,high,Annual change in male share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.44,0.95,,,***,,,high,Annual change in white share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.465,0.215,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.56,0.215,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.745,0.31,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.724,0.259,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Δ White population,demographics,F_neighbourhood,other,annual change in share,3.545,0.29,,,***,,,high,Annual change in white share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,3.347,0.26,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,4.18,0.219,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,3.645,0.093,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,3.239,0.057,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,2.901,0.075,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Δ Asian population,demographics,F_neighbourhood,other,annual change in share,2.519,0.139,,,***,,,high,Annual change in Asian share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.652,0.299,,,**,,,high,Annual change in old-population share,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.982,0.243,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.866,0.088,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.732,0.092,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.574,0.062,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Δ Old population,demographics,F_neighbourhood,other,annual change in share,-0.406,0.096,,,***,,,high,Annual change in old-population share,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Δ Crimes—social,crime,F_neighbourhood,other,annual log change in social crime count,0.005,0.006,,,,,,high,Change in social crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Δ Crimes—social,crime,F_neighbourhood,other,annual log change in social crime count,0.007,0.003,,,**,,,high,Change in social crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Δ Crimes—social,crime,F_neighbourhood,other,annual log change in social crime count,0.002,0.002,,,,,,high,Change in social crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Δ Crimes—social,crime,F_neighbourhood,other,annual log change in social crime count,0.006,0.002,,,***,,,high,Change in social crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Δ Crimes—social,crime,F_neighbourhood,other,annual log change in social crime count,0.006,0.002,,,***,,,high,Change in social crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Δ Crimes—social,crime,F_neighbourhood,other,annual log change in social crime count,0.004,0.004,,,,,,high,Change in social crimes: log(1+n_t)-log(1+n_t-1),Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c1,7 Panel D,(1) 2SLS,37,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.031,0.004,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c2,7 Panel D,(2) Q: 0.05,37,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.029,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c3,7 Panel D,(3) Q: 0.25,37,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.032,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c4,7 Panel D,(4) Q: 0.50,37,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.032,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c5,7 Panel D,(5) Q: 0.75,37,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.034,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7D-c6,7 Panel D,(6) Q: 0.95,37,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.037,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,With spatial lag of neighbour prices; change in social crimes and changes in demographics; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Living area,living_area,A_structural,level,1000 sqft,0.262,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Living area,living_area,A_structural,level,1000 sqft,0.242,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Living area,living_area,A_structural,level,1000 sqft,0.253,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Living area,living_area,A_structural,level,1000 sqft,0.267,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Living area,living_area,A_structural,level,1000 sqft,0.287,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Living area,living_area,A_structural,level,1000 sqft,0.3,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Lot area,lot_size,A_structural,level,1000 sqft,0.009,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Lot area,lot_size,A_structural,level,1000 sqft,0.014,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Lot area,lot_size,A_structural,level,1000 sqft,0.022,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Lot area,lot_size,A_structural,level,1000 sqft,0.034,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Bedrooms,bedrooms,A_structural,level,count,-0.007,0.001,,,***,,,high,,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Bedrooms,bedrooms,A_structural,level,count,0.001,0.003,,,,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Bedrooms,bedrooms,A_structural,level,count,-0.001,0.002,,,,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Bedrooms,bedrooms,A_structural,level,count,-0.001,0.002,,,,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.003,,,,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.004,,,**,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Bathrooms (Full),bathrooms,A_structural,level,count,-0.005,0.006,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Bathrooms (Full),bathrooms,A_structural,level,count,0.007,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Bathrooms (Full),bathrooms,A_structural,level,count,0.015,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Age,age,A_structural,level,years,-0.002,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,One story,storeys,A_structural,binary,binary,-0.075,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,One story,storeys,A_structural,binary,binary,-0.05,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,One story,storeys,A_structural,binary,binary,-0.064,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,One story,storeys,A_structural,binary,binary,-0.066,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,One story,storeys,A_structural,binary,binary,-0.071,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,One story,storeys,A_structural,binary,binary,-0.083,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Renovated,renovation,A_structural,binary,binary,-0.027,0.011,,,**,,,high,Previously renovated =1,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Renovated,renovation,A_structural,binary,binary,-0.265,0.015,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Renovated,renovation,A_structural,binary,binary,-0.102,0.015,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Renovated,renovation,A_structural,binary,binary,0.022,0.006,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Renovated,renovation,A_structural,binary,binary,0.049,0.004,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Renovated,renovation,A_structural,binary,binary,0.072,0.014,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Fireplace,fireplace,B_interior,binary,binary,0.025,0.004,,,***,,,high,,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Fireplace,fireplace,B_interior,binary,binary,0.043,0.006,,,***,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Fireplace,fireplace,B_interior,binary,binary,0.024,0.002,,,***,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Fireplace,fireplace,B_interior,binary,binary,0.014,0.003,,,***,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Fireplace,fireplace,B_interior,binary,binary,0.011,0.002,,,***,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Fireplace,fireplace,B_interior,binary,binary,0.006,0.003,,,*,,,high,,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,37,Lake/Mountain view,view,E_environment,binary,binary,0.062,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,37,Lake/Mountain view,view,E_environment,binary,binary,0.038,0.008,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,37,Lake/Mountain view,view,E_environment,binary,binary,0.035,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,37,Lake/Mountain view,view,E_environment,binary,binary,0.047,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,37,Lake/Mountain view,view,E_environment,binary,binary,0.059,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,37,Lake/Mountain view,view,E_environment,binary,binary,0.103,0.012,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,38,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.006,0.003,,,**,,,high,Census tract population level,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,38,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.026,0.011,,,**,,,high,Census tract population level,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,38,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.009,0.004,,,**,,,high,Census tract population level,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,38,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.002,0.003,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,38,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.0,0.003,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,38,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.012,0.004,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,38,% Male population,demographics,F_neighbourhood,level,share,-0.339,0.142,,,**,,,high,Share of males in census tract,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,38,% Male population,demographics,F_neighbourhood,level,share,-0.674,0.316,,,**,,,high,Share of males in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,38,% Male population,demographics,F_neighbourhood,level,share,-0.018,0.131,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,38,% Male population,demographics,F_neighbourhood,level,share,-0.057,0.114,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,38,% Male population,demographics,F_neighbourhood,level,share,-0.07,0.126,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,38,% Male population,demographics,F_neighbourhood,level,share,0.316,0.148,,,**,,,high,Share of males in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,38,% White population,demographics,F_neighbourhood,level,share,0.636,0.038,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,38,% White population,demographics,F_neighbourhood,level,share,0.922,0.063,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,38,% White population,demographics,F_neighbourhood,level,share,0.639,0.016,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,38,% White population,demographics,F_neighbourhood,level,share,0.578,0.016,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,38,% White population,demographics,F_neighbourhood,level,share,0.54,0.009,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,38,% White population,demographics,F_neighbourhood,level,share,0.467,0.016,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,38,% Asian population,demographics,F_neighbourhood,level,share,0.174,0.023,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,38,% Asian population,demographics,F_neighbourhood,level,share,0.22,0.104,,,**,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,38,% Asian population,demographics,F_neighbourhood,level,share,0.105,0.026,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,38,% Asian population,demographics,F_neighbourhood,level,share,0.147,0.026,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,38,% Asian population,demographics,F_neighbourhood,level,share,0.169,0.018,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,38,% Asian population,demographics,F_neighbourhood,level,share,0.167,0.028,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,38,% Old population,demographics,F_neighbourhood,level,share,-0.155,0.031,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,38,% Old population,demographics,F_neighbourhood,level,share,-0.338,0.091,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,38,% Old population,demographics,F_neighbourhood,level,share,-0.176,0.032,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,38,% Old population,demographics,F_neighbourhood,level,share,-0.208,0.03,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,38,% Old population,demographics,F_neighbourhood,level,share,-0.223,0.031,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,38,% Old population,demographics,F_neighbourhood,level,share,-0.236,0.051,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,38,Number of crimes (IV— Lag1),crime,F_neighbourhood,other,"reported crimes per capita (tract), lagged 1 year",1.106,0.223,,,***,,,high,Lagged crimes per capita instrumented by lagged 911 calls,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,38,Number of crimes (IV— Lag1),crime,F_neighbourhood,other,"reported crimes per capita (tract), lagged 1 year",1.773,0.403,,,***,,,high,Lagged crimes per capita instrumented by lagged 911 calls,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,38,Number of crimes (IV— Lag1),crime,F_neighbourhood,other,"reported crimes per capita (tract), lagged 1 year",0.784,0.13,,,***,,,high,Lagged crimes per capita instrumented by lagged 911 calls,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,38,Number of crimes (IV— Lag1),crime,F_neighbourhood,other,"reported crimes per capita (tract), lagged 1 year",0.575,0.095,,,***,,,high,Lagged crimes per capita instrumented by lagged 911 calls,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,38,Number of crimes (IV— Lag1),crime,F_neighbourhood,other,"reported crimes per capita (tract), lagged 1 year",0.429,0.139,,,***,,,high,Lagged crimes per capita instrumented by lagged 911 calls,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,38,Number of crimes (IV— Lag1),crime,F_neighbourhood,other,"reported crimes per capita (tract), lagged 1 year",0.019,0.197,,,,,,high,Lagged crimes per capita instrumented by lagged 911 calls,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c1,7 Panel E,(1) 2SLS,38,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.038,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c2,7 Panel E,(2) Q: 0.05,38,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.035,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c3,7 Panel E,(3) Q: 0.25,38,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.038,0.0,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c4,7 Panel E,(4) Q: 0.50,38,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.04,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c5,7 Panel E,(5) Q: 0.75,38,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.042,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T7E-c6,7 Panel E,(6) Q: 0.95,38,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.046,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,58301.0,,se,With spatial lag of neighbour prices; lagged crimes instrumented by lagged 911 calls; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Living area,living_area,A_structural,level,1000 sqft,0.318,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Living area,living_area,A_structural,level,1000 sqft,0.284,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Living area,living_area,A_structural,level,1000 sqft,0.306,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Living area,living_area,A_structural,level,1000 sqft,0.32,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Living area,living_area,A_structural,level,1000 sqft,0.34,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Living area,living_area,A_structural,level,1000 sqft,0.347,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Lot area,lot_size,A_structural,level,1000 sqft,0.021,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Lot area,lot_size,A_structural,level,1000 sqft,0.007,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Lot area,lot_size,A_structural,level,1000 sqft,0.013,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Lot area,lot_size,A_structural,level,1000 sqft,0.019,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Lot area,lot_size,A_structural,level,1000 sqft,0.026,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Lot area,lot_size,A_structural,level,1000 sqft,0.038,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Bedrooms,bedrooms,A_structural,level,count,-0.019,0.002,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Bedrooms,bedrooms,A_structural,level,count,-0.012,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Bedrooms,bedrooms,A_structural,level,count,-0.012,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Bedrooms,bedrooms,A_structural,level,count,-0.014,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Bedrooms,bedrooms,A_structural,level,count,-0.019,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Bathrooms (Full),bathrooms,A_structural,level,count,0.003,0.002,,,,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Bathrooms (Full),bathrooms,A_structural,level,count,-0.01,0.004,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Bathrooms (Full),bathrooms,A_structural,level,count,0.002,0.003,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Bathrooms (Full),bathrooms,A_structural,level,count,0.006,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Bathrooms (Full),bathrooms,A_structural,level,count,0.004,0.002,,,*,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.003,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Age,age,A_structural,level,years,-0.0,0.0,,,**,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Age,age,A_structural,level,years,-0.0,0.0,,,,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,One story,storeys,A_structural,binary,binary,-0.095,0.008,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,One story,storeys,A_structural,binary,binary,-0.064,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,One story,storeys,A_structural,binary,binary,-0.077,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,One story,storeys,A_structural,binary,binary,-0.082,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,One story,storeys,A_structural,binary,binary,-0.088,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,One story,storeys,A_structural,binary,binary,-0.1,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Renovated,renovation,A_structural,binary,binary,-0.046,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Renovated,renovation,A_structural,binary,binary,-0.269,0.017,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Renovated,renovation,A_structural,binary,binary,-0.107,0.012,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Renovated,renovation,A_structural,binary,binary,-0.007,0.006,,,,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Renovated,renovation,A_structural,binary,binary,0.026,0.004,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Renovated,renovation,A_structural,binary,binary,0.049,0.01,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Fireplace,fireplace,B_interior,binary,binary,0.04,0.005,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Fireplace,fireplace,B_interior,binary,binary,0.059,0.008,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Fireplace,fireplace,B_interior,binary,binary,0.042,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Fireplace,fireplace,B_interior,binary,binary,0.029,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Fireplace,fireplace,B_interior,binary,binary,0.021,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Fireplace,fireplace,B_interior,binary,binary,0.013,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Lake/Mountain view,view,E_environment,binary,binary,0.104,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Lake/Mountain view,view,E_environment,binary,binary,0.066,0.007,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Lake/Mountain view,view,E_environment,binary,binary,0.069,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Lake/Mountain view,view,E_environment,binary,binary,0.08,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Lake/Mountain view,view,E_environment,binary,binary,0.103,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Lake/Mountain view,view,E_environment,binary,binary,0.173,0.007,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.017,0.007,,,**,,,high,Census tract population level,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.019,0.009,,,**,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.004,0.005,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.017,0.004,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.025,0.004,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.03,0.007,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,% Male population,demographics,F_neighbourhood,level,share,0.907,0.229,,,***,,,high,Share of males in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,% Male population,demographics,F_neighbourhood,level,share,1.745,0.183,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,% Male population,demographics,F_neighbourhood,level,share,1.12,0.102,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,% Male population,demographics,F_neighbourhood,level,share,0.87,0.088,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,% Male population,demographics,F_neighbourhood,level,share,0.647,0.091,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,% Male population,demographics,F_neighbourhood,level,share,1.337,0.209,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,% White population,demographics,F_neighbourhood,level,share,0.747,0.042,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,% White population,demographics,F_neighbourhood,level,share,0.978,0.162,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,% White population,demographics,F_neighbourhood,level,share,0.762,0.021,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,% White population,demographics,F_neighbourhood,level,share,0.756,0.024,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,% White population,demographics,F_neighbourhood,level,share,0.751,0.018,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,% White population,demographics,F_neighbourhood,level,share,0.728,0.02,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,% Asian population,demographics,F_neighbourhood,level,share,0.008,0.053,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,% Asian population,demographics,F_neighbourhood,level,share,0.007,0.13,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,% Asian population,demographics,F_neighbourhood,level,share,-0.002,0.022,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,% Asian population,demographics,F_neighbourhood,level,share,0.077,0.032,,,**,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,% Asian population,demographics,F_neighbourhood,level,share,0.146,0.023,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,% Asian population,demographics,F_neighbourhood,level,share,0.232,0.04,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,% Old population,demographics,F_neighbourhood,level,share,0.268,0.038,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,% Old population,demographics,F_neighbourhood,level,share,0.381,0.083,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,% Old population,demographics,F_neighbourhood,level,share,0.091,0.032,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,% Old population,demographics,F_neighbourhood,level,share,0.059,0.027,,,**,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,% Old population,demographics,F_neighbourhood,level,share,0.065,0.035,,,*,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,% Old population,demographics,F_neighbourhood,level,share,0.416,0.054,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.255,0.534,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.9,0.776,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.298,0.185,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.062,0.163,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.994,0.109,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.371,0.163,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c1,8 Panel A,(1) 2SLS,41,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.073,0.003,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c2,8 Panel A,(2) Q: 0.05,41,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.073,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c3,8 Panel A,(3) Q: 0.25,41,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.068,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c4,8 Panel A,(4) Q: 0.50,41,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.07,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c5,8 Panel A,(5) Q: 0.75,41,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.074,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8A-c6,8 Panel A,(6) Q: 0.95,41,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.085,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,41,Living area,living_area,A_structural,level,1000 sqft,0.261,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,41,Living area,living_area,A_structural,level,1000 sqft,0.24,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,41,Living area,living_area,A_structural,level,1000 sqft,0.252,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,41,Living area,living_area,A_structural,level,1000 sqft,0.266,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,41,Living area,living_area,A_structural,level,1000 sqft,0.285,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,41,Living area,living_area,A_structural,level,1000 sqft,0.3,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Lot area,lot_size,A_structural,level,1000 sqft,0.007,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Lot area,lot_size,A_structural,level,1000 sqft,0.013,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Lot area,lot_size,A_structural,level,1000 sqft,0.022,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Lot area,lot_size,A_structural,level,1000 sqft,0.033,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Bedrooms,bedrooms,A_structural,level,count,-0.007,0.001,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Bedrooms,bedrooms,A_structural,level,count,-0.001,0.004,,,,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,*,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,*,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Bedrooms,bedrooms,A_structural,level,count,-0.009,0.004,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Bathrooms (Full),bathrooms,A_structural,level,count,-0.007,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Bathrooms (Full),bathrooms,A_structural,level,count,0.006,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Bathrooms (Full),bathrooms,A_structural,level,count,0.014,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Age,age,A_structural,level,years,-0.002,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,One story,storeys,A_structural,binary,binary,-0.077,0.006,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,One story,storeys,A_structural,binary,binary,-0.055,0.007,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,One story,storeys,A_structural,binary,binary,-0.065,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,One story,storeys,A_structural,binary,binary,-0.067,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,One story,storeys,A_structural,binary,binary,-0.072,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,One story,storeys,A_structural,binary,binary,-0.085,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Renovated,renovation,A_structural,binary,binary,-0.028,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Renovated,renovation,A_structural,binary,binary,-0.264,0.013,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Renovated,renovation,A_structural,binary,binary,-0.102,0.013,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Renovated,renovation,A_structural,binary,binary,0.021,0.007,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Renovated,renovation,A_structural,binary,binary,0.048,0.002,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Renovated,renovation,A_structural,binary,binary,0.069,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Fireplace,fireplace,B_interior,binary,binary,0.025,0.004,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Fireplace,fireplace,B_interior,binary,binary,0.045,0.007,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Fireplace,fireplace,B_interior,binary,binary,0.025,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Fireplace,fireplace,B_interior,binary,binary,0.013,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Fireplace,fireplace,B_interior,binary,binary,0.01,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Fireplace,fireplace,B_interior,binary,binary,0.006,0.002,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Lake/Mountain view,view,E_environment,binary,binary,0.062,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Lake/Mountain view,view,E_environment,binary,binary,0.035,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Lake/Mountain view,view,E_environment,binary,binary,0.037,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Lake/Mountain view,view,E_environment,binary,binary,0.046,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Lake/Mountain view,view,E_environment,binary,binary,0.059,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Lake/Mountain view,view,E_environment,binary,binary,0.106,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.003,0.003,,,,,,high,Census tract population level,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.011,0.014,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.001,0.003,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.005,0.004,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.006,0.003,,,*,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.014,0.005,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,% Male population,demographics,F_neighbourhood,level,share,-0.048,0.098,,,,,,high,Share of males in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,% Male population,demographics,F_neighbourhood,level,share,0.097,0.226,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,% Male population,demographics,F_neighbourhood,level,share,0.171,0.065,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,% Male population,demographics,F_neighbourhood,level,share,0.144,0.068,,,**,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,% Male population,demographics,F_neighbourhood,level,share,0.115,0.088,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,% Male population,demographics,F_neighbourhood,level,share,0.496,0.164,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,% White population,demographics,F_neighbourhood,level,share,0.575,0.02,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,% White population,demographics,F_neighbourhood,level,share,0.844,0.072,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,% White population,demographics,F_neighbourhood,level,share,0.606,0.018,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,% White population,demographics,F_neighbourhood,level,share,0.543,0.014,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,% White population,demographics,F_neighbourhood,level,share,0.502,0.018,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,% White population,demographics,F_neighbourhood,level,share,0.443,0.018,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,% Asian population,demographics,F_neighbourhood,level,share,0.122,0.018,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,% Asian population,demographics,F_neighbourhood,level,share,0.217,0.092,,,**,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,% Asian population,demographics,F_neighbourhood,level,share,0.088,0.03,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,% Asian population,demographics,F_neighbourhood,level,share,0.12,0.025,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,% Asian population,demographics,F_neighbourhood,level,share,0.135,0.019,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,% Asian population,demographics,F_neighbourhood,level,share,0.138,0.029,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,% Old population,demographics,F_neighbourhood,level,share,-0.173,0.025,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,% Old population,demographics,F_neighbourhood,level,share,-0.187,0.068,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,% Old population,demographics,F_neighbourhood,level,share,-0.188,0.025,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,% Old population,demographics,F_neighbourhood,level,share,-0.213,0.026,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,% Old population,demographics,F_neighbourhood,level,share,-0.228,0.017,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,% Old population,demographics,F_neighbourhood,level,share,-0.203,0.034,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.409,0.191,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.943,0.371,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.386,0.109,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.188,0.088,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.016,0.131,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.285,0.115,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c1,8 Panel B,(1) 2SLS,42,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.039,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c2,8 Panel B,(2) Q: 0.05,42,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.037,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c3,8 Panel B,(3) Q: 0.25,42,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.038,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c4,8 Panel B,(4) Q: 0.50,42,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.04,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c5,8 Panel B,(5) Q: 0.75,42,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.042,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T8B-c6,8 Panel B,(6) Q: 0.95,42,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.047,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Robustness: high-priority 911 calls as IV; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Living area,living_area,A_structural,level,1000 sqft,0.318,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Living area,living_area,A_structural,level,1000 sqft,0.285,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Living area,living_area,A_structural,level,1000 sqft,0.306,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Living area,living_area,A_structural,level,1000 sqft,0.321,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Living area,living_area,A_structural,level,1000 sqft,0.339,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Living area,living_area,A_structural,level,1000 sqft,0.348,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Lot area,lot_size,A_structural,level,1000 sqft,0.022,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Lot area,lot_size,A_structural,level,1000 sqft,0.009,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Lot area,lot_size,A_structural,level,1000 sqft,0.014,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Lot area,lot_size,A_structural,level,1000 sqft,0.02,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Lot area,lot_size,A_structural,level,1000 sqft,0.026,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Lot area,lot_size,A_structural,level,1000 sqft,0.038,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Bedrooms,bedrooms,A_structural,level,count,-0.019,0.002,,,***,,,high,,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.005,,,*,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Bedrooms,bedrooms,A_structural,level,count,-0.011,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Bedrooms,bedrooms,A_structural,level,count,-0.013,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Bedrooms,bedrooms,A_structural,level,count,-0.014,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Bedrooms,bedrooms,A_structural,level,count,-0.018,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Bathrooms (Full),bathrooms,A_structural,level,count,0.004,0.002,,,*,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Bathrooms (Full),bathrooms,A_structural,level,count,-0.009,0.004,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Bathrooms (Full),bathrooms,A_structural,level,count,0.003,0.002,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Bathrooms (Full),bathrooms,A_structural,level,count,0.006,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Bathrooms (Full),bathrooms,A_structural,level,count,0.005,0.002,,,**,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Bathrooms (Full),bathrooms,A_structural,level,count,0.011,0.004,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Age,age,A_structural,level,years,-0.0,0.0,,,**,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Age,age,A_structural,level,years,-0.0,0.0,,,,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,One story,storeys,A_structural,binary,binary,-0.092,0.007,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,One story,storeys,A_structural,binary,binary,-0.063,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,One story,storeys,A_structural,binary,binary,-0.073,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,One story,storeys,A_structural,binary,binary,-0.079,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,One story,storeys,A_structural,binary,binary,-0.087,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,One story,storeys,A_structural,binary,binary,-0.099,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Renovated,renovation,A_structural,binary,binary,-0.046,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Renovated,renovation,A_structural,binary,binary,-0.278,0.023,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Renovated,renovation,A_structural,binary,binary,-0.11,0.014,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Renovated,renovation,A_structural,binary,binary,-0.003,0.008,,,,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Renovated,renovation,A_structural,binary,binary,0.023,0.007,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Renovated,renovation,A_structural,binary,binary,0.046,0.013,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Fireplace,fireplace,B_interior,binary,binary,0.039,0.005,,,***,,,high,,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Fireplace,fireplace,B_interior,binary,binary,0.062,0.007,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Fireplace,fireplace,B_interior,binary,binary,0.038,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Fireplace,fireplace,B_interior,binary,binary,0.027,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Fireplace,fireplace,B_interior,binary,binary,0.02,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Fireplace,fireplace,B_interior,binary,binary,0.013,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Lake/Mountain view,view,E_environment,binary,binary,0.109,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Lake/Mountain view,view,E_environment,binary,binary,0.066,0.007,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Lake/Mountain view,view,E_environment,binary,binary,0.074,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Lake/Mountain view,view,E_environment,binary,binary,0.085,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Lake/Mountain view,view,E_environment,binary,binary,0.106,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Lake/Mountain view,view,E_environment,binary,binary,0.18,0.009,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.014,0.005,,,***,,,high,Census tract population level,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.019,0.013,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.001,0.006,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.016,0.002,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.022,0.003,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.026,0.005,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,% Male population,demographics,F_neighbourhood,level,share,0.614,0.133,,,***,,,high,Share of males in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,% Male population,demographics,F_neighbourhood,level,share,1.484,0.272,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,% Male population,demographics,F_neighbourhood,level,share,0.858,0.115,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,% Male population,demographics,F_neighbourhood,level,share,0.629,0.117,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,% Male population,demographics,F_neighbourhood,level,share,0.452,0.079,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,% Male population,demographics,F_neighbourhood,level,share,1.008,0.241,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,% White population,demographics,F_neighbourhood,level,share,0.776,0.037,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,% White population,demographics,F_neighbourhood,level,share,1.106,0.154,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,% White population,demographics,F_neighbourhood,level,share,0.801,0.023,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,% White population,demographics,F_neighbourhood,level,share,0.754,0.017,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,% White population,demographics,F_neighbourhood,level,share,0.758,0.021,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,% White population,demographics,F_neighbourhood,level,share,0.738,0.023,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,% Asian population,demographics,F_neighbourhood,level,share,0.02,0.032,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,% Asian population,demographics,F_neighbourhood,level,share,0.111,0.107,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,% Asian population,demographics,F_neighbourhood,level,share,-0.0,0.024,,,,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,% Asian population,demographics,F_neighbourhood,level,share,0.067,0.016,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,% Asian population,demographics,F_neighbourhood,level,share,0.136,0.018,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,% Asian population,demographics,F_neighbourhood,level,share,0.221,0.046,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,% Old population,demographics,F_neighbourhood,level,share,0.329,0.041,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,% Old population,demographics,F_neighbourhood,level,share,0.427,0.101,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,% Old population,demographics,F_neighbourhood,level,share,0.196,0.037,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,% Old population,demographics,F_neighbourhood,level,share,0.119,0.021,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,% Old population,demographics,F_neighbourhood,level,share,0.127,0.027,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,% Old population,demographics,F_neighbourhood,level,share,0.376,0.045,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.694,0.305,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.093,0.744,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.588,0.164,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.713,0.097,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.659,0.12,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.007,0.202,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.072,0.003,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.071,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.067,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.069,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.073,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.084,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c1,9 Panel A,(1) 2SLS,43,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.01,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c2,9 Panel A,(2) Q: 0.05,43,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.011,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c3,9 Panel A,(3) Q: 0.25,43,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.011,0.0,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c4,9 Panel A,(4) Q: 0.50,43,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.009,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c5,9 Panel A,(5) Q: 0.75,43,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.008,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9A-c6,9 Panel A,(6) Q: 0.95,43,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.006,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; no spatial adjustment; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Living area,living_area,A_structural,level,1000 sqft,0.26,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Living area,living_area,A_structural,level,1000 sqft,0.239,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Living area,living_area,A_structural,level,1000 sqft,0.25,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Living area,living_area,A_structural,level,1000 sqft,0.267,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Living area,living_area,A_structural,level,1000 sqft,0.285,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Living area,living_area,A_structural,level,1000 sqft,0.299,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Lot area,lot_size,A_structural,level,1000 sqft,0.019,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Lot area,lot_size,A_structural,level,1000 sqft,0.008,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Lot area,lot_size,A_structural,level,1000 sqft,0.014,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Lot area,lot_size,A_structural,level,1000 sqft,0.022,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Lot area,lot_size,A_structural,level,1000 sqft,0.034,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Bedrooms,bedrooms,A_structural,level,count,-0.007,0.001,,,***,,,high,,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Bedrooms,bedrooms,A_structural,level,count,0.0,0.005,,,,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Bedrooms,bedrooms,A_structural,level,count,-0.001,0.002,,,,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Bedrooms,bedrooms,A_structural,level,count,-0.003,0.001,,,*,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Bathrooms (Full),bathrooms,A_structural,level,count,-0.005,0.004,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Bathrooms (Full),bathrooms,A_structural,level,count,0.007,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Bathrooms (Full),bathrooms,A_structural,level,count,0.01,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Bathrooms (Full),bathrooms,A_structural,level,count,0.016,0.003,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Age,age,A_structural,level,years,-0.002,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,One story,storeys,A_structural,binary,binary,-0.076,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,One story,storeys,A_structural,binary,binary,-0.054,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,One story,storeys,A_structural,binary,binary,-0.063,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,One story,storeys,A_structural,binary,binary,-0.066,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,One story,storeys,A_structural,binary,binary,-0.072,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,One story,storeys,A_structural,binary,binary,-0.084,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Renovated,renovation,A_structural,binary,binary,-0.029,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Renovated,renovation,A_structural,binary,binary,-0.265,0.016,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Renovated,renovation,A_structural,binary,binary,-0.104,0.015,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Renovated,renovation,A_structural,binary,binary,0.02,0.007,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Renovated,renovation,A_structural,binary,binary,0.048,0.007,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Renovated,renovation,A_structural,binary,binary,0.07,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Fireplace,fireplace,B_interior,binary,binary,0.025,0.004,,,***,,,high,,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Fireplace,fireplace,B_interior,binary,binary,0.043,0.006,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Fireplace,fireplace,B_interior,binary,binary,0.024,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Fireplace,fireplace,B_interior,binary,binary,0.012,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Fireplace,fireplace,B_interior,binary,binary,0.01,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Fireplace,fireplace,B_interior,binary,binary,0.007,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Lake/Mountain view,view,E_environment,binary,binary,0.065,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Lake/Mountain view,view,E_environment,binary,binary,0.04,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Lake/Mountain view,view,E_environment,binary,binary,0.039,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Lake/Mountain view,view,E_environment,binary,binary,0.048,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Lake/Mountain view,view,E_environment,binary,binary,0.063,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Lake/Mountain view,view,E_environment,binary,binary,0.11,0.008,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.001,0.002,,,,,,high,Census tract population level,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.015,0.014,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",-0.003,0.005,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.004,0.003,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.004,0.004,,,,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.014,0.005,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,% Male population,demographics,F_neighbourhood,level,share,-0.217,0.094,,,**,,,high,Share of males in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,% Male population,demographics,F_neighbourhood,level,share,-0.322,0.249,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,% Male population,demographics,F_neighbourhood,level,share,0.01,0.126,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,% Male population,demographics,F_neighbourhood,level,share,0.036,0.077,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,% Male population,demographics,F_neighbourhood,level,share,-0.003,0.1,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,% Male population,demographics,F_neighbourhood,level,share,0.332,0.095,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,% White population,demographics,F_neighbourhood,level,share,0.592,0.03,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,% White population,demographics,F_neighbourhood,level,share,0.873,0.067,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,% White population,demographics,F_neighbourhood,level,share,0.618,0.02,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,% White population,demographics,F_neighbourhood,level,share,0.541,0.012,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,% White population,demographics,F_neighbourhood,level,share,0.507,0.017,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,% White population,demographics,F_neighbourhood,level,share,0.453,0.019,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,% Asian population,demographics,F_neighbourhood,level,share,0.129,0.018,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,% Asian population,demographics,F_neighbourhood,level,share,0.21,0.092,,,**,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,% Asian population,demographics,F_neighbourhood,level,share,0.09,0.027,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,% Asian population,demographics,F_neighbourhood,level,share,0.107,0.017,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,% Asian population,demographics,F_neighbourhood,level,share,0.133,0.021,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,% Asian population,demographics,F_neighbourhood,level,share,0.14,0.022,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,% Old population,demographics,F_neighbourhood,level,share,-0.138,0.032,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,% Old population,demographics,F_neighbourhood,level,share,-0.224,0.076,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,% Old population,demographics,F_neighbourhood,level,share,-0.157,0.041,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,% Old population,demographics,F_neighbourhood,level,share,-0.175,0.019,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,% Old population,demographics,F_neighbourhood,level,share,-0.205,0.02,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,% Old population,demographics,F_neighbourhood,level,share,-0.211,0.041,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.734,0.148,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),1.338,0.234,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.612,0.167,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.354,0.111,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),0.195,0.096,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.072,0.126,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.039,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.036,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.038,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.04,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.042,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.046,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c1,9 Panel B,(1) 2SLS,44,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.006,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,IV,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c2,9 Panel B,(2) Q: 0.05,44,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.007,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c3,9 Panel B,(3) Q: 0.25,44,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.006,0.0,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c4,9 Panel B,(4) Q: 0.50,44,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.005,0.0,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c5,9 Panel B,(5) Q: 0.75,44,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.005,0.0,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T9B-c6,9 Panel B,(6) Q: 0.95,44,Distance to crime coldspot,crime,F_neighbourhood,level,miles (straight-line to nearest coldspot),-0.004,0.001,,,***,,,high,Straight-line distance in miles to the nearest crime coldspot tract,Log (Sale Price),log,quantile,61898.0,,se,Robustness: adds distance to crime coldspot; with spatial lag of neighbour prices; year + month dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Living area,living_area,A_structural,level,1000 sqft,0.288,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Living area,living_area,A_structural,level,1000 sqft,0.255,0.006,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Living area,living_area,A_structural,level,1000 sqft,0.28,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Living area,living_area,A_structural,level,1000 sqft,0.294,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Living area,living_area,A_structural,level,1000 sqft,0.306,0.003,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Living area,living_area,A_structural,level,1000 sqft,0.312,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Lot area,lot_size,A_structural,level,1000 sqft,0.026,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Lot area,lot_size,A_structural,level,1000 sqft,0.016,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Lot area,lot_size,A_structural,level,1000 sqft,0.021,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Lot area,lot_size,A_structural,level,1000 sqft,0.024,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Lot area,lot_size,A_structural,level,1000 sqft,0.03,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Lot area,lot_size,A_structural,level,1000 sqft,0.041,0.002,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Bedrooms,bedrooms,A_structural,level,count,-0.016,0.002,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Bedrooms,bedrooms,A_structural,level,count,-0.003,0.003,,,,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Bedrooms,bedrooms,A_structural,level,count,-0.009,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Bedrooms,bedrooms,A_structural,level,count,-0.01,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Bedrooms,bedrooms,A_structural,level,count,-0.011,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Bedrooms,bedrooms,A_structural,level,count,-0.017,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Bathrooms (Full),bathrooms,A_structural,level,count,0.007,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Bathrooms (Full),bathrooms,A_structural,level,count,0.001,0.004,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Bathrooms (Full),bathrooms,A_structural,level,count,0.006,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.003,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Bathrooms (Full),bathrooms,A_structural,level,count,0.013,0.004,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,One story,storeys,A_structural,binary,binary,-0.076,0.006,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,One story,storeys,A_structural,binary,binary,-0.053,0.006,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,One story,storeys,A_structural,binary,binary,-0.058,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,One story,storeys,A_structural,binary,binary,-0.065,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,One story,storeys,A_structural,binary,binary,-0.075,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,One story,storeys,A_structural,binary,binary,-0.086,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Renovated,renovation,A_structural,binary,binary,-0.033,0.011,,,***,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Renovated,renovation,A_structural,binary,binary,-0.265,0.015,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Renovated,renovation,A_structural,binary,binary,-0.106,0.01,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Renovated,renovation,A_structural,binary,binary,0.018,0.009,,,**,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Renovated,renovation,A_structural,binary,binary,0.041,0.004,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Renovated,renovation,A_structural,binary,binary,0.052,0.009,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Fireplace,fireplace,B_interior,binary,binary,0.02,0.005,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Fireplace,fireplace,B_interior,binary,binary,0.036,0.005,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Fireplace,fireplace,B_interior,binary,binary,0.021,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Fireplace,fireplace,B_interior,binary,binary,0.014,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Fireplace,fireplace,B_interior,binary,binary,0.006,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Fireplace,fireplace,B_interior,binary,binary,-0.006,0.003,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Lake/Mountain view,view,E_environment,binary,binary,0.14,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Lake/Mountain view,view,E_environment,binary,binary,0.094,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Lake/Mountain view,view,E_environment,binary,binary,0.107,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Lake/Mountain view,view,E_environment,binary,binary,0.114,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Lake/Mountain view,view,E_environment,binary,binary,0.138,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Lake/Mountain view,view,E_environment,binary,binary,0.211,0.01,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.073,0.008,,,***,,,high,Census tract population level,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.08,0.007,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.075,0.005,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.071,0.003,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.073,0.006,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.087,0.014,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,% Male population,demographics,F_neighbourhood,level,share,0.355,0.188,,,*,,,high,Share of males in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,% Male population,demographics,F_neighbourhood,level,share,0.304,0.162,,,*,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,% Male population,demographics,F_neighbourhood,level,share,0.233,0.145,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,% Male population,demographics,F_neighbourhood,level,share,0.296,0.127,,,**,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,% Male population,demographics,F_neighbourhood,level,share,0.627,0.114,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,% Male population,demographics,F_neighbourhood,level,share,1.935,0.283,,,***,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,% White population,demographics,F_neighbourhood,level,share,0.261,0.043,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,% White population,demographics,F_neighbourhood,level,share,0.262,0.083,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,% White population,demographics,F_neighbourhood,level,share,0.285,0.032,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,% White population,demographics,F_neighbourhood,level,share,0.25,0.032,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,% White population,demographics,F_neighbourhood,level,share,0.242,0.036,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,% White population,demographics,F_neighbourhood,level,share,0.104,0.065,,,,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,% Asian population,demographics,F_neighbourhood,level,share,-0.493,0.06,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,% Asian population,demographics,F_neighbourhood,level,share,-0.437,0.078,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,% Asian population,demographics,F_neighbourhood,level,share,-0.399,0.052,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,% Asian population,demographics,F_neighbourhood,level,share,-0.418,0.033,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,% Asian population,demographics,F_neighbourhood,level,share,-0.405,0.028,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,% Asian population,demographics,F_neighbourhood,level,share,-0.576,0.061,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,% Old population,demographics,F_neighbourhood,level,share,0.664,0.06,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,% Old population,demographics,F_neighbourhood,level,share,0.246,0.054,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,% Old population,demographics,F_neighbourhood,level,share,0.283,0.029,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,% Old population,demographics,F_neighbourhood,level,share,0.493,0.048,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,% Old population,demographics,F_neighbourhood,level,share,0.678,0.031,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,% Old population,demographics,F_neighbourhood,level,share,1.148,0.183,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.849,0.376,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-3.07,0.515,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-2.646,0.185,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-2.263,0.18,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.898,0.209,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.87,0.336,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c1,11 Panel A,(1) 2SLS,47,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.071,0.004,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c2,11 Panel A,(2) Q: 0.05,47,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.082,0.005,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c3,11 Panel A,(3) Q: 0.25,47,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.074,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c4,11 Panel A,(4) Q: 0.50,47,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.071,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c5,11 Panel A,(5) Q: 0.75,47,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.068,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11A-c6,11 Panel A,(6) Q: 0.95,47,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.065,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: baseline with zip code fixed effects; no spatial adjustment; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Living area,living_area,A_structural,level,1000 sqft,0.256,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Living area,living_area,A_structural,level,1000 sqft,0.231,0.005,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Living area,living_area,A_structural,level,1000 sqft,0.249,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Living area,living_area,A_structural,level,1000 sqft,0.265,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Living area,living_area,A_structural,level,1000 sqft,0.281,0.002,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Living area,living_area,A_structural,level,1000 sqft,0.29,0.004,,,***,,,high,"Total living area; Table 10 says ft2 but summary stats (mean 1.891, max 4.59) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Lot area,lot_size,A_structural,level,1000 sqft,0.023,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Lot area,lot_size,A_structural,level,1000 sqft,0.012,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Lot area,lot_size,A_structural,level,1000 sqft,0.018,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Lot area,lot_size,A_structural,level,1000 sqft,0.022,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Lot area,lot_size,A_structural,level,1000 sqft,0.027,0.0,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Lot area,lot_size,A_structural,level,1000 sqft,0.038,0.001,,,***,,,high,"Total lot area; Table 10 says ft2 but summary stats (mean 4.66, max 14.47) imply thousands of sq ft",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.001,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Bedrooms,bedrooms,A_structural,level,count,-0.001,0.004,,,,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Bedrooms,bedrooms,A_structural,level,count,-0.002,0.001,,,**,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Bedrooms,bedrooms,A_structural,level,count,-0.003,0.002,,,*,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Bedrooms,bedrooms,A_structural,level,count,-0.004,0.001,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Bedrooms,bedrooms,A_structural,level,count,-0.008,0.003,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.001,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Bathrooms (Full),bathrooms,A_structural,level,count,0.0,0.004,,,,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Bathrooms (Full),bathrooms,A_structural,level,count,0.008,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Bathrooms (Full),bathrooms,A_structural,level,count,0.01,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Bathrooms (Full),bathrooms,A_structural,level,count,0.009,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Bathrooms (Full),bathrooms,A_structural,level,count,0.015,0.002,,,***,,,high,Number of full bathrooms,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Age,age,A_structural,level,years,-0.002,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Age,age,A_structural,level,years,-0.001,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Age,age,A_structural,level,years,-0.0,0.0,,,***,,,high,Year of sale minus year built; printed to 3 decimals,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,One story,storeys,A_structural,binary,binary,-0.07,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,One story,storeys,A_structural,binary,binary,-0.054,0.005,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,One story,storeys,A_structural,binary,binary,-0.058,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,One story,storeys,A_structural,binary,binary,-0.06,0.003,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,One story,storeys,A_structural,binary,binary,-0.067,0.002,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,One story,storeys,A_structural,binary,binary,-0.08,0.004,,,***,,,high,One-story property =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Renovated,renovation,A_structural,binary,binary,-0.025,0.011,,,**,,,high,Previously renovated =1,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Renovated,renovation,A_structural,binary,binary,-0.258,0.013,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Renovated,renovation,A_structural,binary,binary,-0.102,0.014,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Renovated,renovation,A_structural,binary,binary,0.028,0.008,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Renovated,renovation,A_structural,binary,binary,0.053,0.003,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Renovated,renovation,A_structural,binary,binary,0.067,0.007,,,***,,,high,Previously renovated =1,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Fireplace,fireplace,B_interior,binary,binary,0.016,0.004,,,***,,,high,,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Fireplace,fireplace,B_interior,binary,binary,0.032,0.005,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Fireplace,fireplace,B_interior,binary,binary,0.015,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Fireplace,fireplace,B_interior,binary,binary,0.008,0.002,,,***,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Fireplace,fireplace,B_interior,binary,binary,0.002,0.002,,,,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Fireplace,fireplace,B_interior,binary,binary,-0.001,0.004,,,,,,high,,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Lake/Mountain view,view,E_environment,binary,binary,0.095,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Lake/Mountain view,view,E_environment,binary,binary,0.059,0.005,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Lake/Mountain view,view,E_environment,binary,binary,0.066,0.003,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Lake/Mountain view,view,E_environment,binary,binary,0.076,0.002,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Lake/Mountain view,view,E_environment,binary,binary,0.094,0.004,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Lake/Mountain view,view,E_environment,binary,binary,0.158,0.006,,,***,,,high,"Natural view (Mt Rainier, Cascades, Puget Sound, Lake Washington, Olympics) =1",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.031,0.004,,,***,,,high,Census tract population level,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.056,0.017,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.045,0.003,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.036,0.006,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.028,0.007,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Population,density,F_neighbourhood,level,"count (census tract population; scale not stated, mean 5,138)",0.029,0.01,,,***,,,high,Census tract population level,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,% Male population,demographics,F_neighbourhood,level,share,-0.315,0.104,,,***,,,high,Share of males in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,% Male population,demographics,F_neighbourhood,level,share,0.089,0.1,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,% Male population,demographics,F_neighbourhood,level,share,-0.09,0.111,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,% Male population,demographics,F_neighbourhood,level,share,-0.137,0.089,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,% Male population,demographics,F_neighbourhood,level,share,-0.061,0.117,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,% Male population,demographics,F_neighbourhood,level,share,0.21,0.273,,,,,,high,Share of males in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,% White population,demographics,F_neighbourhood,level,share,0.359,0.023,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,% White population,demographics,F_neighbourhood,level,share,0.27,0.076,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,% White population,demographics,F_neighbourhood,level,share,0.309,0.026,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,% White population,demographics,F_neighbourhood,level,share,0.309,0.036,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,% White population,demographics,F_neighbourhood,level,share,0.334,0.021,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,% White population,demographics,F_neighbourhood,level,share,0.299,0.045,,,***,,,high,Share of white population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,% Asian population,demographics,F_neighbourhood,level,share,-0.149,0.034,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,% Asian population,demographics,F_neighbourhood,level,share,-0.2,0.06,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,% Asian population,demographics,F_neighbourhood,level,share,-0.159,0.033,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,% Asian population,demographics,F_neighbourhood,level,share,-0.151,0.027,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,% Asian population,demographics,F_neighbourhood,level,share,-0.122,0.032,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,% Asian population,demographics,F_neighbourhood,level,share,-0.166,0.046,,,***,,,high,Share of Asian population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,% Old population,demographics,F_neighbourhood,level,share,0.098,0.039,,,**,,,high,Share of old population in census tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,% Old population,demographics,F_neighbourhood,level,share,0.009,0.054,,,,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,% Old population,demographics,F_neighbourhood,level,share,0.023,0.031,,,,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,% Old population,demographics,F_neighbourhood,level,share,0.088,0.026,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,% Old population,demographics,F_neighbourhood,level,share,0.143,0.034,,,***,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,% Old population,demographics,F_neighbourhood,level,share,0.198,0.094,,,**,,,high,Share of old population in census tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.055,0.192,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-1.43,0.521,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.956,0.196,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.632,0.195,,,***,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.249,0.099,,,**,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Number of crimes (IV),crime,F_neighbourhood,other,reported crimes per capita (tract),-0.124,0.274,,,,,,high,"Reported crimes per tract population, instrumented by number of 911 calls (2SLS / IV quantile)",Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c1,11 Panel B,(1) 2SLS,48,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.045,0.004,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,IV,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; 2SLS; SE clustered by year and month
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c2,11 Panel B,(2) Q: 0.05,48,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.056,0.004,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.05; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c3,11 Panel B,(3) Q: 0.25,48,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.051,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.25; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c4,11 Panel B,(4) Q: 0.50,48,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.048,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.50; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c5,11 Panel B,(5) Q: 0.75,48,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.046,0.001,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.75; SE bootstrap
d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a,d3812508998e06d0728e9af8b9c2c72e4dad465a:T11B-c6,11 Panel B,(6) Q: 0.95,48,Distance to crime hotspot,crime,F_neighbourhood,level,miles (straight-line to nearest hotspot),-0.044,0.002,,,***,,,high,Straight-line distance in miles to the nearest Getis-Ord crime hotspot tract,Log (Sale Price),log,quantile,61902.0,,se,Appendix 2: zip code fixed effects plus spatial lag of neighbour prices; year + month + zip dummies; quantile regression at tau=0.95; SE bootstrap
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Year of construction (log),age,A_structural,other,years,-0.4313,0.2871,,,,,,high,"Variable is log of the calendar year of construction, not age; sign reversed relative to age.","log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Year of construction (log),age,A_structural,other,years,-1.0019,0.1922,,,***,,,high,"Variable is log of the calendar year of construction, not age; sign reversed relative to age.","log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Year of construction (log),age,A_structural,other,years,0.5455,0.7097,,,,,,high,"Variable is log of the calendar year of construction, not age; sign reversed relative to age.","log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Year of construction (log),age,A_structural,other,years,-0.5379,0.3098,,,*,,,high,"Variable is log of the calendar year of construction, not age; sign reversed relative to age.","log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Living space (log),living_area,A_structural,log,m2,-0.0013,0.0311,,,,,,high,"Dependent variable is log price per m2, so coefficient is elasticity of per-m2 price w.r.t. living space.","log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Living space (log),living_area,A_structural,log,m2,0.0209,0.0362,,,,,,high,"Dependent variable is log price per m2, so coefficient is elasticity of per-m2 price w.r.t. living space.","log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Living space (log),living_area,A_structural,log,m2,0.2474,0.0269,,,***,,,high,"Dependent variable is log price per m2, so coefficient is elasticity of per-m2 price w.r.t. living space.","log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Living space (log),living_area,A_structural,log,m2,0.2512,0.0289,,,***,,,high,"Dependent variable is log price per m2, so coefficient is elasticity of per-m2 price w.r.t. living space.","log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Number of rooms (log),bedrooms,A_structural,log,count,-0.065,0.0138,,,***,,,high,"Total number of rooms (German convention), not bedrooms; mapped to bedrooms as closest leaf.","log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Number of rooms (log),bedrooms,A_structural,log,count,-0.0703,0.0171,,,***,,,high,"Total number of rooms (German convention), not bedrooms; mapped to bedrooms as closest leaf.","log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Number of rooms (log),bedrooms,A_structural,log,count,-0.1438,0.0144,,,***,,,high,"Total number of rooms (German convention), not bedrooms; mapped to bedrooms as closest leaf.","log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Number of rooms (log),bedrooms,A_structural,log,count,-0.1403,0.0151,,,***,,,high,"Total number of rooms (German convention), not bedrooms; mapped to bedrooms as closest leaf.","log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Basement (dummy),basement,A_structural,dummy,binary,-0.0018,0.0004,,,***,,,high,,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Basement (dummy),basement,A_structural,dummy,binary,-0.0017,0.0005,,,***,,,high,,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Basement (dummy),basement,A_structural,dummy,binary,0.0009,0.0014,,,,,,high,,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Basement (dummy),basement,A_structural,dummy,binary,0.0016,0.0014,,,,,,high,,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Balcony (dummy),terrace_balcony,C_exterior,dummy,binary,0.02,0.0035,,,***,,,high,Balcony or terrace dummy.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Balcony (dummy),terrace_balcony,C_exterior,dummy,binary,0.0169,0.0052,,,***,,,high,Balcony or terrace dummy.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Balcony (dummy),terrace_balcony,C_exterior,dummy,binary,0.0329,0.0039,,,***,,,high,Balcony or terrace dummy.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Balcony (dummy),terrace_balcony,C_exterior,dummy,binary,0.0262,0.0037,,,***,,,high,Balcony or terrace dummy.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Urban area (dummy) (Regional centers),other,other,dummy,binary,0.0442,0.0246,,,*,,,high,Region type: located in urban area / regional centre.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Urban area (dummy) (Regional centers),other,other,dummy,binary,0.1112,0.0229,,,***,,,high,Region type: located in urban area / regional centre.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Urban area (dummy) (Regional centers),other,other,dummy,binary,0.0454,0.0465,,,,,,high,Region type: located in urban area / regional centre.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Urban area (dummy) (Regional centers),other,other,dummy,binary,0.1922,0.0908,,,**,,,high,Region type: located in urban area / regional centre.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,City/metropolitan area (dummy),other,other,dummy,binary,-0.009,0.0325,,,,,,high,Region type: located in city or metropolitan area.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,City/metropolitan area (dummy),other,other,dummy,binary,-0.1104,0.0089,,,***,,,high,Region type: located in city or metropolitan area.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,City/metropolitan area (dummy),other,other,dummy,binary,-0.0113,0.0442,,,,,,high,Region type: located in city or metropolitan area.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,City/metropolitan area (dummy),other,other,dummy,binary,-0.1282,0.0344,,,***,,,high,Region type: located in city or metropolitan area.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,"West/East Germany (dummy) (1 = West, 0 = East)",other,other,dummy,binary,0.0991,0.0645,,,,,,high,Macro-region dummy (West Germany = 1).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,"West/East Germany (dummy) (1 = West, 0 = East)",other,other,dummy,binary,0.2437,0.0508,,,***,,,high,Macro-region dummy (West Germany = 1).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,"West/East Germany (dummy) (1 = West, 0 = East)",other,other,dummy,binary,0.0982,0.0557,,,*,,,high,Macro-region dummy (West Germany = 1).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,"West/East Germany (dummy) (1 = West, 0 = East)",other,other,dummy,binary,0.1968,0.0381,,,***,,,high,Macro-region dummy (West Germany = 1).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Population density (log),density,F_neighbourhood,log,per_km2,0.0441,0.0068,,,***,,,high,District-level population density (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Population density (log),density,F_neighbourhood,log,per_km2,0.0213,0.0079,,,***,,,high,District-level population density (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Population density (log),density,F_neighbourhood,log,per_km2,0.0495,0.0114,,,***,,,high,District-level population density (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Population density (log),density,F_neighbourhood,log,per_km2,0.004,0.0137,,,,,,high,District-level population density (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Population growth (log),other,other,log,share,0.0014,0.0022,,,,,,high,District population growth (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Population growth (log),other,other,log,share,0.0037,0.0049,,,,,,high,District population growth (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Population growth (log),other,other,log,share,-0.0069,0.0025,,,***,,,high,District population growth (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Population growth (log),other,other,log,share,-0.0036,0.0054,,,,,,high,District population growth (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Primary income per capita (log),income,F_neighbourhood,log,currency,0.2254,0.0845,,,***,,,high,District primary income per capita in EUR (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Primary income per capita (log),income,F_neighbourhood,log,currency,0.1638,0.0882,,,*,,,high,District primary income per capita in EUR (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Primary income per capita (log),income,F_neighbourhood,log,currency,0.6727,0.1092,,,***,,,high,District primary income per capita in EUR (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Primary income per capita (log),income,F_neighbourhood,log,currency,0.5359,0.0998,,,***,,,high,District primary income per capita in EUR (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Students (log),other,other,log,count,-0.0092,0.0107,,,,,,high,Number of students in district (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Students (log),other,other,log,count,-0.0071,0.0152,,,,,,high,Number of students in district (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Students (log),other,other,log,count,-0.0123,0.0159,,,,,,high,Number of students in district (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Students (log),other,other,log,count,0.0007,0.0129,,,,,,high,Number of students in district (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Unemployment rate (log),unemployment,F_neighbourhood,log,share,-0.2109,0.1154,,,*,,,high,District unemployment rate (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Unemployment rate (log),unemployment,F_neighbourhood,log,share,-0.3313,0.1417,,,**,,,high,District unemployment rate (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Unemployment rate (log),unemployment,F_neighbourhood,log,share,-0.2579,0.0826,,,***,,,high,District unemployment rate (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Unemployment rate (log),unemployment,F_neighbourhood,log,share,-0.3812,0.0744,,,***,,,high,District unemployment rate (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Construction completions (log),other,other,log,count,0.0157,0.0029,,,***,,,high,Municipality construction completions (log); housing supply measure.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Construction completions (log),other,other,log,count,0.0113,0.0055,,,**,,,high,Municipality construction completions (log); housing supply measure.,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Construction completions (log),other,other,log,count,0.0272,0.0043,,,***,,,high,Municipality construction completions (log); housing supply measure.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Construction completions (log),other,other,log,count,0.0164,0.0079,,,**,,,high,Municipality construction completions (log); housing supply measure.,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c1,6,1,23,Social assistance recipients (log),other,other,log,count,-0.0234,0.0527,,,,,,high,District number of social assistance recipients (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,3064152.0,0.6618,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c2,6,2,23,Social assistance recipients (log),other,other,log,count,-0.0577,0.0805,,,,,,high,District number of social assistance recipients (log).,"log rent price per sqm (EUR, net rent)",per_m2,OLS,2017686.0,0.5514,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c3,6,3,23,Social assistance recipients (log),other,other,log,count,0.1073,0.0625,,,*,,,high,District number of social assistance recipients (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1716317.0,0.6895,se,Full sample (regulated and unregulated municipalities); year FE + district FE; dependent variable is log of price per square metre
d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7,d3cc2b5ffbf39645fc47562257a85c240474e3d7:T6-c4,6,4,23,Social assistance recipients (log),other,other,log,count,0.1747,0.0902,,,*,,,high,District number of social assistance recipients (log).,"log sale price per sqm (EUR, asking price)",per_m2,OLS,1210342.0,0.6125,se,Regulated municipalities only; year FE + district FE; dependent variable is log of price per square metre
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c1,3,1 (Prague),8,area_net,living_area,A_structural,level,m2,1.26e-05,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE); printed in scientific notation,log price per square metre (CZK),per_m2,OLS,4189.0,0.491,none,Prague: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c1,3,1 (Prague),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.019,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,4189.0,0.491,none,Prague: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c1,3,1 (Prague),8,sqm_room,other,other,level,m2,0.015,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,4189.0,0.491,none,Prague: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c1,3,1 (Prague),8,state,condition,A_structural,binary,binary,0.18,,,,***,,,high,"Technical condition dummy: 1 = after reconstruction, project, under construction, new construction; 0 = good, very good, under/before reconstruction; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,4189.0,0.491,none,Prague: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c1,3,1 (Prague),8,location,other,other,level,index,-0.056,,,,***,,,high,"Ordinal location attractiveness class 1 (most attractive) to 6 (least attractive), pooled Prague model only; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,4189.0,0.491,none,Prague: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c1,3,1 (Prague),8,EPC,energy_efficiency,A_structural,level,index,-0.024,,,,***,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,4189.0,0.491,none,Prague: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c2,3,2 (Location 1),8,area_net,living_area,A_structural,level,m2,7.83e-05,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE); printed in scientific notation,log price per square metre (CZK),per_m2,OLS,264.0,0.383,none,Location 1: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c2,3,2 (Location 1),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.002,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,264.0,0.383,none,Location 1: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c2,3,2 (Location 1),8,sqm_room,other,other,level,m2,0.013,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,264.0,0.383,none,Location 1: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c2,3,2 (Location 1),8,state,condition,A_structural,binary,binary,0.266,,,,***,,,high,"Technical condition dummy: 1 = after reconstruction, project, under construction, new construction; 0 = good, very good, under/before reconstruction; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,264.0,0.383,none,Location 1: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c2,3,2 (Location 1),8,EPC,energy_efficiency,A_structural,level,index,0.021,,,,,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,264.0,0.383,none,Location 1: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c3,3,3 (Location 2),8,area_net,living_area,A_structural,level,m2,0.0,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE); printed in scientific notation,log price per square metre (CZK),per_m2,OLS,364.0,0.359,none,Location 2: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c3,3,3 (Location 2),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.069,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,364.0,0.359,none,Location 2: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c3,3,3 (Location 2),8,sqm_room,other,other,level,m2,0.009,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,364.0,0.359,none,Location 2: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c3,3,3 (Location 2),8,state,condition,A_structural,binary,binary,0.073,,,,*,,,high,"Technical condition dummy: 1 = after reconstruction, project, under construction, new construction; 0 = good, very good, under/before reconstruction; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,364.0,0.359,none,Location 2: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c3,3,3 (Location 2),8,EPC,energy_efficiency,A_structural,level,index,-0.001,,,,,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,364.0,0.359,none,Location 2: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c4,3,4 (Location 3),8,area_net,living_area,A_structural,level,m2,0.001,,,,**,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,914.0,0.482,none,Location 3: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c4,3,4 (Location 3),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.017,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,914.0,0.482,none,Location 3: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c4,3,4 (Location 3),8,sqm_room,other,other,level,m2,0.013,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,914.0,0.482,none,Location 3: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c4,3,4 (Location 3),8,state,condition,A_structural,binary,binary,0.18,,,,***,,,high,"Technical condition dummy: 1 = after reconstruction, project, under construction, new construction; 0 = good, very good, under/before reconstruction; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,914.0,0.482,none,Location 3: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c4,3,4 (Location 3),8,EPC,energy_efficiency,A_structural,level,index,-0.016,,,,,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,914.0,0.482,none,Location 3: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c5,3,5 (Location 4),8,area_net,living_area,A_structural,level,m2,0.0,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE); printed in scientific notation,log price per square metre (CZK),per_m2,OLS,1281.0,0.548,none,Location 4: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c5,3,5 (Location 4),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.035,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,1281.0,0.548,none,Location 4: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c5,3,5 (Location 4),8,sqm_room,other,other,level,m2,0.015,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,1281.0,0.548,none,Location 4: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c5,3,5 (Location 4),8,state,condition,A_structural,binary,binary,0.178,,,,***,,,high,"Technical condition dummy: 1 = after reconstruction, project, under construction, new construction; 0 = good, very good, under/before reconstruction; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,1281.0,0.548,none,Location 4: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c5,3,5 (Location 4),8,EPC,energy_efficiency,A_structural,level,index,-0.502,,,,,,,medium,"EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE); printed value -0.502 is an outlier vs other columns (possible typo for -0.052), recorded as printed",log price per square metre (CZK),per_m2,OLS,1281.0,0.548,none,Location 4: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c6,3,6 (Location 5),8,area_net,living_area,A_structural,level,m2,-0.001,,,,***,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,1059.0,0.498,none,Location 5: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c6,3,6 (Location 5),8,sep_kitch,kitchen_quality,B_interior,binary,binary,0.022,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,1059.0,0.498,none,Location 5: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c6,3,6 (Location 5),8,sqm_room,other,other,level,m2,0.018,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,1059.0,0.498,none,Location 5: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c6,3,6 (Location 5),8,state,condition,A_structural,binary,binary,0.128,,,,***,,,high,"Technical condition dummy: 1 = after reconstruction, project, under construction, new construction; 0 = good, very good, under/before reconstruction; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,1059.0,0.498,none,Location 5: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c6,3,6 (Location 5),8,EPC,energy_efficiency,A_structural,level,index,-0.064,,,,***,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,1059.0,0.498,none,Location 5: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c7,3,7 (Location 6),8,area_net,living_area,A_structural,level,m2,-0.0,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE); printed in scientific notation,log price per square metre (CZK),per_m2,OLS,307.0,0.487,none,Location 6: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c7,3,7 (Location 6),8,sep_kitch,kitchen_quality,B_interior,binary,binary,0.036,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,307.0,0.487,none,Location 6: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c7,3,7 (Location 6),8,sqm_room,other,other,level,m2,0.016,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,307.0,0.487,none,Location 6: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c7,3,7 (Location 6),8,state,condition,A_structural,binary,binary,0.178,,,,***,,,high,"Technical condition dummy: 1 = after reconstruction, project, under construction, new construction; 0 = good, very good, under/before reconstruction; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,307.0,0.487,none,Location 6: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T3-c7,3,7 (Location 6),8,EPC,energy_efficiency,A_structural,level,index,-0.026,,,,,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,307.0,0.487,none,Location 6: full sample of sale ads (Table 3 spans pages 7-8); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c1,4,1 (Prague),8,area_net,living_area,A_structural,level,m2,3.71e-05,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE); printed in scientific notation,log price per square metre (CZK),per_m2,OLS,2557.0,0.393,none,Prague: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c1,4,1 (Prague),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.055,,,,*,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,2557.0,0.393,none,Prague: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c1,4,1 (Prague),8,sqm_room,other,other,level,m2,0.014,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,2557.0,0.393,none,Prague: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c1,4,1 (Prague),8,location,other,other,level,index,-0.056,,,,***,,,high,"Ordinal location attractiveness class 1 (most attractive) to 6 (least attractive), pooled Prague model only; only point estimate and stars printed (no SE)",log price per square metre (CZK),per_m2,OLS,2557.0,0.393,none,Prague: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c1,4,1 (Prague),8,EPC,energy_efficiency,A_structural,level,index,-0.08,,,,***,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,2557.0,0.393,none,Prague: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c2,4,2 (Location 1),8,area_net,living_area,A_structural,level,m2,0.001,,,,**,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,131.0,0.253,none,Location 1: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c2,4,2 (Location 1),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.189,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,131.0,0.253,none,Location 1: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c2,4,2 (Location 1),8,sqm_room,other,other,level,m2,0.006,,,,**,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,131.0,0.253,none,Location 1: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c2,4,2 (Location 1),8,EPC,energy_efficiency,A_structural,level,index,-0.039,,,,,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,131.0,0.253,none,Location 1: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c3,4,3 (Location 2),8,area_net,living_area,A_structural,level,m2,0.001,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,237.0,0.301,none,Location 2: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c3,4,3 (Location 2),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.022,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,237.0,0.301,none,Location 2: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c3,4,3 (Location 2),8,sqm_room,other,other,level,m2,0.008,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,237.0,0.301,none,Location 2: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c3,4,3 (Location 2),8,EPC,energy_efficiency,A_structural,level,index,-0.028,,,,,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,237.0,0.301,none,Location 2: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c4,4,4 (Location 3),8,area_net,living_area,A_structural,level,m2,0.001,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,472.0,0.387,none,Location 3: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c4,4,4 (Location 3),8,sep_kitch,kitchen_quality,B_interior,binary,binary,0.034,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,472.0,0.387,none,Location 3: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c4,4,4 (Location 3),8,sqm_room,other,other,level,m2,0.01,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,472.0,0.387,none,Location 3: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c4,4,4 (Location 3),8,EPC,energy_efficiency,A_structural,level,index,-0.065,,,,***,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,472.0,0.387,none,Location 3: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c5,4,5 (Location 4),8,area_net,living_area,A_structural,level,m2,0.001,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,818.0,0.467,none,Location 4: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c5,4,5 (Location 4),8,sep_kitch,kitchen_quality,B_interior,binary,binary,-0.084,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,818.0,0.467,none,Location 4: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c5,4,5 (Location 4),8,sqm_room,other,other,level,m2,0.015,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,818.0,0.467,none,Location 4: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c5,4,5 (Location 4),8,EPC,energy_efficiency,A_structural,level,index,-0.139,,,,***,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,818.0,0.467,none,Location 4: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c6,4,6 (Location 5),8,area_net,living_area,A_structural,level,m2,-0.001,,,,***,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,678.0,0.408,none,Location 5: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c6,4,6 (Location 5),8,sep_kitch,kitchen_quality,B_interior,binary,binary,0.013,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,678.0,0.408,none,Location 5: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c6,4,6 (Location 5),8,sqm_room,other,other,level,m2,0.018,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,678.0,0.408,none,Location 5: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c6,4,6 (Location 5),8,EPC,energy_efficiency,A_structural,level,index,-0.142,,,,***,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,678.0,0.408,none,Location 5: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c7,4,7 (Location 6),8,area_net,living_area,A_structural,level,m2,-0.001,,,,,,,high,Total net area of the apartment in m2; dependent variable is price per m2; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,221.0,0.423,none,Location 6: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c7,4,7 (Location 6),8,sep_kitch,kitchen_quality,B_interior,binary,binary,0.145,,,,,,,high,Dummy = 1 if the apartment has a separate kitchen; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,221.0,0.423,none,Location 6: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c7,4,7 (Location 6),8,sqm_room,other,other,level,m2,0.016,,,,***,,,high,Average square metres per room (area_net / rooms); printed name sqm_room; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,221.0,0.423,none,Location 6: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e,d3e27cac15a096168d22a145ab49342c924dc96e:T4-c7,4,7 (Location 6),8,EPC,energy_efficiency,A_structural,level,index,-0.055,,,,,,,high,EPC class coded 1=A (most efficient) to 6=F (least efficient); class G excluded; one-step worse class effect; only point estimate and stars printed (no SE),log price per square metre (CZK),per_m2,OLS,221.0,0.423,none,Location 6: subsample with state = 1 (new construction / after reconstruction / project / under construction); dependent variable is the natural log of asking price per m2
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,Age,age,A_structural,level,years,-0.007867,,-12.55,,***,,,high,Age of house in years; quadratic with Age_2,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Age,age,A_structural,level,years,-0.007734,,-12.18,,***,,,high,Age of house in years; quadratic with Age_2,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Age,age,A_structural,level,years,-0.007778,,-12.36,,***,,,high,Age of house in years; quadratic with Age_2,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,Age_2,age,A_structural,squared,years,8.6e-05,,11.63,,***,,,high,Age squared,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Age_2,age,A_structural,squared,years,8.7e-05,,11.65,,***,,,high,Age squared,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Age_2,age,A_structural,squared,years,8.5e-05,,11.41,,***,,,high,Age squared,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,Bedrooms,bedrooms,A_structural,level,count,0.002218,,0.63,,,,,high,,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Bedrooms,bedrooms,A_structural,level,count,0.00225,,0.64,,,,,high,,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Bedrooms,bedrooms,A_structural,level,count,0.00354,,1.01,,,,,high,,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,Bathrooms,bathrooms,A_structural,level,count,0.042084,,8.05,,***,,,high,,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Bathrooms,bathrooms,A_structural,level,count,0.045153,,8.55,,***,,,high,,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Bathrooms,bathrooms,A_structural,level,count,0.041481,,7.92,,***,,,high,,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,SqftStruc,living_area,A_structural,level,sqft,0.000226,,47.76,,***,,,high,Square footage of house,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,SqftStruc,living_area,A_structural,level,sqft,0.000225,,46.92,,***,,,high,Square footage of house,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,SqftStruc,living_area,A_structural,level,sqft,0.000226,,47.68,,***,,,high,Square footage of house,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,LotSqft,lot_size,A_structural,level,sqft,4.84e-08,,2.24,,**,,,high,Square footage of lot,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,LotSqft,lot_size,A_structural,level,sqft,4.73e-08,,2.16,,**,,,high,Square footage of lot,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,LotSqft,lot_size,A_structural,level,sqft,4.87e-08,,2.24,,**,,,high,Square footage of lot,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,LnDtownDist,cbd_distance,D_location,log,feet,0.175223,,7.66,,***,,,high,Log distance in feet to downtown San Diego,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,LnDtownDist,cbd_distance,D_location,log,feet,0.076875,,3.29,,***,,,high,Log distance in feet to downtown San Diego,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,LnDtownDist,cbd_distance,D_location,log,feet,0.075096,,3.25,,***,,,high,Log distance in feet to downtown San Diego,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,LnFreeDist,highway_distance,D_location,log,feet,0.010732,,3.06,,***,,,high,Log distance in feet to nearest freeway,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,LnFreeDist,highway_distance,D_location,log,feet,0.015182,,4.17,,***,,,high,Log distance in feet to nearest freeway,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,LnFreeDist,highway_distance,D_location,log,feet,0.009351,,2.57,,***,,,high,Log distance in feet to nearest freeway,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,Dist_API,school_quality,F_neighbourhood,level,index,0.000956,,5.87,,***,,,high,Elementary school district base Academic Performance Index (200-1000 scale),Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Dist_API,school_quality,F_neighbourhood,level,index,0.001068,,6.48,,***,,,high,Elementary school district base Academic Performance Index (200-1000 scale),Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Dist_API,school_quality,F_neighbourhood,level,index,0.001046,,6.41,,***,,,high,Elementary school district base Academic Performance Index (200-1000 scale),Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c1,2,Model 1,9,LnCoastDist,water_proximity,E_environment,log,feet,-0.146047,,-21.12,,***,,,high,Log distance in feet from house to coast,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7798,t,All sales; neighbourhood fixed effects; coastal specification: log coastal distance
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Coast_0to1miles,water_proximity,E_environment,dummy,binary,0.352211,,13.4,,***,,,high,Distance band dummy: residence within 1 mile of coast of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Coast_2miles,water_proximity,E_environment,dummy,binary,0.200634,,7.92,,***,,,high,Distance band dummy: residence 1 to 2 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Coast_3miles,water_proximity,E_environment,dummy,binary,0.118684,,5.24,,***,,,high,Distance band dummy: residence 2 to 3 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Coast_4miles,water_proximity,E_environment,dummy,binary,0.082033,,4.13,,***,,,high,Distance band dummy: residence 3 to 4 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Coast_5miles,water_proximity,E_environment,dummy,binary,0.053282,,3.0,,***,,,high,Distance band dummy: residence 4 to 5 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c2,2,Model 2,9,Coast_6miles,water_proximity,E_environment,dummy,binary,0.035755,,2.59,,***,,,high,Distance band dummy: residence 5 to 6 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7749,t,All sales; neighbourhood fixed effects; coastal specification: 1-mile distance bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_500ft,water_proximity,E_environment,dummy,binary,0.702698,,15.43,,***,,,high,Distance band dummy: residence within 500 ft of coast of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_1000ft,water_proximity,E_environment,dummy,binary,0.487333,,11.11,,***,,,high,"Distance band dummy: residence 500 to 1,000 ft of coast; reference beyond 6 miles",Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_2000ft,water_proximity,E_environment,dummy,binary,0.454806,,13.67,,***,,,high,"Distance band dummy: residence 1,000 to 2,000 ft of coast; reference beyond 6 miles",Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_3000ft,water_proximity,E_environment,dummy,binary,0.438393,,13.97,,***,,,high,"Distance band dummy: residence 2,000 to 3,000 ft of coast; reference beyond 6 miles",Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_4000ft,water_proximity,E_environment,dummy,binary,0.293654,,9.38,,***,,,high,"Distance band dummy: residence 3,000 to 4,000 ft of coast; reference beyond 6 miles",Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_5280ft,water_proximity,E_environment,dummy,binary,0.20111,,6.77,,***,,,high,"Distance band dummy: residence 4,000 to 5,280 ft of coast; reference beyond 6 miles",Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_2miles,water_proximity,E_environment,dummy,binary,0.193321,,7.71,,***,,,high,Distance band dummy: residence 1 to 2 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_3miles,water_proximity,E_environment,dummy,binary,0.115352,,5.15,,***,,,high,Distance band dummy: residence 2 to 3 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_4miles,water_proximity,E_environment,dummy,binary,0.082574,,4.2,,***,,,high,Distance band dummy: residence 3 to 4 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_5miles,water_proximity,E_environment,dummy,binary,0.053941,,3.07,,***,,,high,Distance band dummy: residence 4 to 5 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1,d458e3973f160efbbd5c7fd28ec076d63dc933e1:T2-c3,2,Model 3,9,Coast_6miles,water_proximity,E_environment,dummy,binary,0.033207,,2.43,,**,,,high,Distance band dummy: residence 5 to 6 miles of coast; reference beyond 6 miles,Ln_Price (natural log of sales price),log,OLS,9755.0,0.7795,t,All sales; neighbourhood fixed effects; coastal specification: 500/1000-ft and mile bands
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Age,age,A_structural,level,years,-0.0055,,,0.006,,,,high,Age in years; model also includes Age-squared; p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Age,age,A_structural,level,years,-0.0084,,,0.0,,,,high,Age in years; model also includes Age-squared; p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Age-squared,age,A_structural,squared,years,0.0001,,,0.0,,,,high,Square of building age; p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Age-squared,age,A_structural,squared,years,0.0001,,,0.0,,,,high,Square of building age; p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Surface,living_area,A_structural,level,m2,0.0038,,,0.0,,,,high,Total built surface area (m2); p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Surface,living_area,A_structural,level,m2,0.0038,,,0.0,,,,high,Total built surface area (m2); p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Bedrooms,bedrooms,A_structural,level,count,0.0596,,,0.009,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Bedrooms,bedrooms,A_structural,level,count,0.0719,,,0.0,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,WC,bathrooms,A_structural,level,count,0.1348,,,0.0,,,,high,Number of additional toilets apart from the main bathroom; p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,WC,bathrooms,A_structural,level,count,0.0768,,,0.001,,,,high,Number of additional toilets apart from the main bathroom; p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Storage room,storage,B_interior,dummy,binary,0.0811,,,0.008,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Storage room,storage,B_interior,dummy,binary,0.0314,,,0.02,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Air conditioned,air_conditioning,A_structural,dummy,binary,0.0789,,,0.005,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Air conditioned,air_conditioning,A_structural,dummy,binary,0.0298,,,0.019,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,View,view,E_environment,dummy,binary,0.0963,,,0.0,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,View,view,E_environment,dummy,binary,0.0679,,,0.003,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Fireplace,fireplace,B_interior,dummy,binary,0.2052,,,0.0,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Fireplace,fireplace,B_interior,dummy,binary,0.1107,,,0.0,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Heat,heating,A_structural,dummy,binary,0.1758,,,0.015,,,,high,Has heating; p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Heat,heating,A_structural,dummy,binary,0.0984,,,0.08,,,,high,Has heating; p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Elevator,accessibility,B_interior,dummy,binary,0.0761,,,0.005,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Elevator,accessibility,B_interior,dummy,binary,0.0734,,,0.002,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Furnished,other,other,dummy,binary,0.1493,,,0.0,,,,high,Furnished dwelling; p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Furnished,other,other,dummy,binary,0.1279,,,0.0,,,,high,Furnished dwelling; p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-OLS,2,OLS,9,Garage,garage,A_structural,dummy,binary,0.1867,,,0.0,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,OLS,757.0,0.7504,p,All 757 apartments; RMSE 0.3490
d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3,d66dcd3e24d3aa705a9e17810be910446c18dce3:T2-RK,2,RK,9,Garage,garage,A_structural,dummy,binary,0.1775,,,0.0,,,,high,p-value printed in parentheses,log monthly rental price (EUR),log,other,757.0,0.8434,p,"All 757 apartments; regression-kriging (GLS, exponential variogram); RMSE 0.2768"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,numbed,bedrooms,A_structural,level,count,993.201,102.513,9.69,0.0,,,,high,,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,numbath,bathrooms,A_structural,level,count,-33.984,154.712,-0.22,0.826,,,,high,,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,numparking,parking,A_structural,level,count,458.98,120.699,3.8,0.0,,,,high,On-site parking spaces,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,age,age,A_structural,level,years,-2.048,3.591,-0.57,0.569,,,,high,Age of building in years,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,disbustop,transit_distance,D_location,level,km,-229.313,238.745,-0.96,0.337,,,,high,Distance to nearest bus stop,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,distrain,transit_distance,D_location,level,km,-139.868,56.781,-2.46,0.014,,,,high,Distance to nearest train station,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,discbd,cbd_distance,D_location,level,km,-85.066,15.166,-5.61,0.0,,,,high,Distance to Melbourne CBD,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,numbustp,transit_distance,D_location,level,count,6.29,1.054,5.97,0.0,,,,high,"Number of bus stops within 5 km (density, not distance)","price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,numhospital,hospital_distance,D_location,level,count,18.535,24.754,0.75,0.454,,,,high,"Number of hospitals within 5 km (count, not distance)","price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,numschool,school_distance,D_location,level,count,8.267,4.282,1.93,0.054,,,,high,"Number of schools within 5 km (count, not distance)","price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,medianage,demographics,F_neighbourhood,level,years,23.657,20.37,1.16,0.246,,,,high,SA1 median age,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,medianincome,income,F_neighbourhood,level,AUD per week,2.133,0.378,5.64,0.0,,,,high,SA1 median weekly income,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T4-c1,4,1,11,labor,other,other,level,share,-2713.769,1362.894,-1.99,0.047,,,,high,Labour-force participation rate of SA1,"price (unit transaction price, AUD per m2)",per_m2,OLS,374.0,0.738,se,"Complete-case sample; F(13,360)=77.96; adj R2 0.728"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T6-c1,6,1,14,numbed,bedrooms,A_structural,level,count,874.4881,80.2898,10.8916,,,,,medium,Single GWR 'Estimate/Standard Error/t(Est/SE)' reported; interpretation as a global estimate uncertain,"price (unit transaction price, AUD per m2)",per_m2,GWR,374.0,,se,"GWR with spatially varying covariates only (numbed, numbath, distrain, numbustp, numhospital, medianincome); single estimate per variable reported"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T6-c1,6,1,14,numbath,bathrooms,A_structural,level,count,82.3344,121.2878,0.6788,,,,,medium,Single GWR 'Estimate/Standard Error/t(Est/SE)' reported; interpretation as a global estimate uncertain,"price (unit transaction price, AUD per m2)",per_m2,GWR,374.0,,se,"GWR with spatially varying covariates only (numbed, numbath, distrain, numbustp, numhospital, medianincome); single estimate per variable reported"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T6-c1,6,1,14,distrain,transit_distance,D_location,level,km,-12.1714,8.2071,-1.483,,,,,medium,Single GWR 'Estimate/Standard Error/t(Est/SE)' reported; interpretation as a global estimate uncertain,"price (unit transaction price, AUD per m2)",per_m2,GWR,374.0,,se,"GWR with spatially varying covariates only (numbed, numbath, distrain, numbustp, numhospital, medianincome); single estimate per variable reported"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T6-c1,6,1,14,numbustp,transit_distance,D_location,level,count,9.3065,0.9283,10.0254,,,,,medium,Single GWR 'Estimate/Standard Error/t(Est/SE)' reported; interpretation as a global estimate uncertain,"price (unit transaction price, AUD per m2)",per_m2,GWR,374.0,,se,"GWR with spatially varying covariates only (numbed, numbath, distrain, numbustp, numhospital, medianincome); single estimate per variable reported"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T6-c1,6,1,14,numhospital,hospital_distance,D_location,level,count,56.8417,2.9904,19.0082,,,,,medium,Single GWR 'Estimate/Standard Error/t(Est/SE)' reported; interpretation as a global estimate uncertain,"price (unit transaction price, AUD per m2)",per_m2,GWR,374.0,,se,"GWR with spatially varying covariates only (numbed, numbath, distrain, numbustp, numhospital, medianincome); single estimate per variable reported"
d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0,d8941587e0ea17530b8486a47a4da824ad437bf0:T6-c1,6,1,14,medianincome,income,F_neighbourhood,level,AUD per week,1.6684,0.3339,4.9972,,,,,medium,Single GWR 'Estimate/Standard Error/t(Est/SE)' reported; interpretation as a global estimate uncertain,"price (unit transaction price, AUD per m2)",per_m2,GWR,374.0,,se,"GWR with spatially varying covariates only (numbed, numbath, distrain, numbustp, numhospital, medianincome); single estimate per variable reported"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,area,living_area,A_structural,level,m2,0.0227,,,0.0001,,,,high,area of the dwelling in m2 (mean 52.86); entered with area2 (squared term); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,area2,living_area,A_structural,squared,m2,-0.0001,,,0.0001,,,,high,square of dwelling area (m2^2); pairs with 'area'; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,basement,basement,A_structural,dummy,binary,0.0294,,,0.0001,,,,high,1 if apartment has basement or storage room; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,cons1960,age,A_structural,dummy,binary,0.0147,,,0.0001,,,,high,construction period dummy: built 1960-1969 (base cons1950 = built 1950-1959); vintage not age; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,cons1970,age,A_structural,dummy,binary,0.0341,,,0.0001,,,,high,construction period dummy: built 1970-1979 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,cons1980,age,A_structural,dummy,binary,0.0608,,,0.0001,,,,high,construction period dummy: built 1980-1989 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,cons1990,age,A_structural,dummy,binary,0.1354,,,0.0001,,,,high,construction period dummy: built 1990-1999 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,cons2000,age,A_structural,dummy,binary,0.2273,,,0.0001,,,,high,construction period dummy: built after 2000 (base built 1950-1959); Table 3 also lists cons2010 so cons2000 likely 2000-2009; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,cons2010,age,A_structural,dummy,binary,0.2213,,,0.0001,,,,high,construction period dummy: built 2010+ (base built 1950-1959); cons2010 not described in Table 2 but reported; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,floor2,floor_level,A_structural,dummy,binary,0.0269,,,0.0001,,,,high,floor2 = 'other floors' (base floor1 = ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,floor3,floor_level,A_structural,dummy,binary,0.0284,,,0.0001,,,,high,floor3 = first and second floor (base ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,garage,garage,A_structural,other,ordinal,0.0291,,,0.0001,,,,high,"0 none, 1 parking space outside building, 2 individual space in garage (coded 0/1/2, entered as single variable); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,height,storeys,A_structural,other,ordinal,-0.0061,,,0.0001,,,,high,"building height: 1 = up to 4 floors, 2 = above 5 floors (coded 1/2); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,technology,roof_materials,A_structural,other,ordinal,0.0497,,,0.0001,,,,high,"construction technology: 1 = prefabricated, 2 = traditional (coded 1/2); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,dcc,cbd_distance,D_location,level,km,-0.0268,,,0.0001,,,,high,distance to city centre in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,kindergarten,school_distance,D_location,level,km,-0.0119,,,0.0131,,,,high,distance to nearest kindergarten in km (mapped to school_distance; kindergarten not primary school),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,school,school_distance,D_location,level,km,-0.0352,,,0.0001,,,,high,distance to nearest primary school in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,subway,transit_distance,D_location,level,km,-0.016,,,0.0001,,,,high,distance to nearest subway station in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,duga100,green_space,E_environment,dummy,binary,0.0452,,,0.0001,,,,high,urban green area within 0-100 m (base >500 m); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,duga200,green_space,E_environment,dummy,binary,0.0145,,,0.0001,,,,high,urban green area 101-200 m (base >500 m); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,duga300,green_space,E_environment,dummy,binary,0.012,,,0.0001,,,,high,urban green area 201-300 m (base >500 m); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,duga400,green_space,E_environment,dummy,binary,0.0074,,,0.0074,,,,high,urban green area 301-400 m (base >500 m),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c1,4,1 (OLS),9,duga500,green_space,E_environment,dummy,binary,0.0056,,,0.051,,,,high,urban green area 401-500 m (base >500 m),ln(sale price),log,OLS,43075.0,0.8702,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,area,living_area,A_structural,level,m2,0.0256,,,0.0001,,,,high,area of the dwelling in m2 (mean 52.86); entered with area2 (squared term); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,area2,living_area,A_structural,squared,m2,-0.0001,,,0.0001,,,,high,square of dwelling area (m2^2); pairs with 'area'; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,basement,basement,A_structural,dummy,binary,0.0204,,,0.0001,,,,high,1 if apartment has basement or storage room; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,cons1960,age,A_structural,dummy,binary,0.0154,,,0.0001,,,,high,construction period dummy: built 1960-1969 (base cons1950 = built 1950-1959); vintage not age; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,cons1970,age,A_structural,dummy,binary,0.0245,,,0.0001,,,,high,construction period dummy: built 1970-1979 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,cons1980,age,A_structural,dummy,binary,0.0371,,,0.0001,,,,high,construction period dummy: built 1980-1989 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,cons1990,age,A_structural,dummy,binary,0.131,,,0.0001,,,,high,construction period dummy: built 1990-1999 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,cons2000,age,A_structural,dummy,binary,0.2079,,,0.0001,,,,high,construction period dummy: built after 2000 (base built 1950-1959); Table 3 also lists cons2010 so cons2000 likely 2000-2009; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,cons2010,age,A_structural,dummy,binary,0.221,,,0.0001,,,,high,construction period dummy: built 2010+ (base built 1950-1959); cons2010 not described in Table 2 but reported; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,floor2,floor_level,A_structural,dummy,binary,0.0256,,,0.0001,,,,high,floor2 = 'other floors' (base floor1 = ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,floor3,floor_level,A_structural,dummy,binary,0.0288,,,0.0001,,,,high,floor3 = first and second floor (base ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,garage,garage,A_structural,other,ordinal,0.025,,,0.0001,,,,high,"0 none, 1 parking space outside building, 2 individual space in garage (coded 0/1/2, entered as single variable); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,height,storeys,A_structural,other,ordinal,-0.0037,,,0.0063,,,,high,"building height: 1 = up to 4 floors, 2 = above 5 floors (coded 1/2)",ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,technology,roof_materials,A_structural,other,ordinal,0.0482,,,0.0001,,,,high,"construction technology: 1 = prefabricated, 2 = traditional (coded 1/2); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,dcc,cbd_distance,D_location,level,km,-0.0217,,,0.0001,,,,high,distance to city centre in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,kindergarten,school_distance,D_location,level,km,-0.0029,,,0.5049,,,,high,distance to nearest kindergarten in km (mapped to school_distance; kindergarten not primary school),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,school,school_distance,D_location,level,km,-0.0288,,,0.0001,,,,high,distance to nearest primary school in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,subway,transit_distance,D_location,level,km,-0.0188,,,0.0001,,,,high,distance to nearest subway station in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,duga100,green_space,E_environment,dummy,binary,0.0276,,,0.0001,,,,high,urban green area within 0-100 m (base >500 m); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,duga200,green_space,E_environment,dummy,binary,0.0138,,,0.0001,,,,high,urban green area 101-200 m (base >500 m); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,duga300,green_space,E_environment,dummy,binary,0.0069,,,0.0044,,,,high,urban green area 201-300 m (base >500 m),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,duga400,green_space,E_environment,dummy,binary,0.0021,,,0.3788,,,,high,urban green area 301-400 m (base >500 m),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c2,4,2 (WLS),9,duga500,green_space,E_environment,dummy,binary,0.0015,,,0.5372,,,,high,urban green area 401-500 m (base >500 m),ln(sale price),log,WLS,43075.0,0.8495,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,area,living_area,A_structural,level,m2,0.0242,,,0.0001,,,,high,area of the dwelling in m2 (mean 52.86); entered with area2 (squared term); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,area2,living_area,A_structural,squared,m2,-0.0001,,,0.0001,,,,high,square of dwelling area (m2^2); pairs with 'area'; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,basement,basement,A_structural,dummy,binary,0.0216,,,0.0001,,,,high,1 if apartment has basement or storage room; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,cons1960,age,A_structural,dummy,binary,0.018,,,0.0001,,,,high,construction period dummy: built 1960-1969 (base cons1950 = built 1950-1959); vintage not age; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,cons1970,age,A_structural,dummy,binary,0.0307,,,0.0001,,,,high,construction period dummy: built 1970-1979 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,cons1980,age,A_structural,dummy,binary,0.0415,,,0.0001,,,,high,construction period dummy: built 1980-1989 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,cons1990,age,A_structural,dummy,binary,0.1366,,,0.0001,,,,high,construction period dummy: built 1990-1999 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,cons2000,age,A_structural,dummy,binary,0.2139,,,0.0001,,,,high,construction period dummy: built after 2000 (base built 1950-1959); Table 3 also lists cons2010 so cons2000 likely 2000-2009; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,cons2010,age,A_structural,dummy,binary,0.2059,,,0.0001,,,,high,construction period dummy: built 2010+ (base built 1950-1959); cons2010 not described in Table 2 but reported; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,floor2,floor_level,A_structural,dummy,binary,0.0269,,,0.0001,,,,high,floor2 = 'other floors' (base floor1 = ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,floor3,floor_level,A_structural,dummy,binary,0.0302,,,0.0001,,,,high,floor3 = first and second floor (base ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,garage,garage,A_structural,other,ordinal,0.0267,,,0.0001,,,,high,"0 none, 1 parking space outside building, 2 individual space in garage (coded 0/1/2, entered as single variable); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,height,storeys,A_structural,other,ordinal,-0.0026,,,0.0757,,,,high,"building height: 1 = up to 4 floors, 2 = above 5 floors (coded 1/2)",ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,technology,roof_materials,A_structural,other,ordinal,0.0484,,,0.0001,,,,high,"construction technology: 1 = prefabricated, 2 = traditional (coded 1/2); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,dcc,cbd_distance,D_location,level,km,-0.0233,,,0.0001,,,,high,distance to city centre in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,kindergarten,school_distance,D_location,level,km,-0.0081,,,0.0718,,,,high,distance to nearest kindergarten in km (mapped to school_distance; kindergarten not primary school),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,school,school_distance,D_location,level,km,-0.0307,,,0.0001,,,,high,distance to nearest primary school in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,subway,transit_distance,D_location,level,km,-0.0186,,,0.0001,,,,high,distance to nearest subway station in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,duga100,green_space,E_environment,dummy,binary,0.0304,,,0.0001,,,,high,urban green area within 0-100 m (base >500 m); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,duga200,green_space,E_environment,dummy,binary,0.0077,,,0.0042,,,,high,urban green area 101-200 m (base >500 m),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,duga300,green_space,E_environment,dummy,binary,0.0065,,,0.0126,,,,high,urban green area 201-300 m (base >500 m),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,duga400,green_space,E_environment,dummy,binary,0.0028,,,0.2807,,,,high,urban green area 301-400 m (base >500 m),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T4-c3,4,3 (Median QR),9,duga500,green_space,E_environment,dummy,binary,0.0029,,,0.2778,,,,high,urban green area 401-500 m (base >500 m),ln(sale price),log,quantile,43075.0,,p,"general model, full sample of 43,075 apartment sales 2010-2015 (built after 1950); year dummies (base 2010) and 18 district dummies (base d9 Srodmiescie) included, not extracted; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),10,area,living_area,A_structural,level,m2,0.0227,,,0.0001,,,,high,area of the dwelling in m2 (mean 52.86); entered with area2 (squared term); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),10,area2,living_area,A_structural,squared,m2,-0.0001,,,0.0001,,,,high,square of dwelling area (m2^2); pairs with 'area'; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),10,basement,basement,A_structural,dummy,binary,0.0287,,,0.0001,,,,high,1 if apartment has basement or storage room; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),10,cons1960,age,A_structural,dummy,binary,0.0144,,,0.0002,,,,high,construction period dummy: built 1960-1969 (base cons1950 = built 1950-1959); vintage not age,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,cons1970,age,A_structural,dummy,binary,0.0342,,,0.0001,,,,high,construction period dummy: built 1970-1979 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,cons1980,age,A_structural,dummy,binary,0.0564,,,0.0001,,,,high,construction period dummy: built 1980-1989 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,cons1990,age,A_structural,dummy,binary,0.1197,,,0.0001,,,,high,construction period dummy: built 1990-1999 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,cons2000,age,A_structural,dummy,binary,0.2116,,,0.0001,,,,high,construction period dummy: built after 2000 (base built 1950-1959); Table 3 also lists cons2010 so cons2000 likely 2000-2009; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,cons2010,age,A_structural,dummy,binary,0.2074,,,0.0001,,,,high,construction period dummy: built 2010+ (base built 1950-1959); cons2010 not described in Table 2 but reported; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,floor2,floor_level,A_structural,dummy,binary,0.0268,,,0.0001,,,,high,floor2 = 'other floors' (base floor1 = ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,floor3,floor_level,A_structural,dummy,binary,0.0281,,,0.0001,,,,high,floor3 = first and second floor (base ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,garage,garage,A_structural,other,ordinal,0.0293,,,0.0001,,,,high,"0 none, 1 parking space outside building, 2 individual space in garage (coded 0/1/2, entered as single variable); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,height,storeys,A_structural,other,ordinal,-0.0059,,,0.0002,,,,high,"building height: 1 = up to 4 floors, 2 = above 5 floors (coded 1/2)",ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,technology,roof_materials,A_structural,other,ordinal,0.0495,,,0.0001,,,,high,"construction technology: 1 = prefabricated, 2 = traditional (coded 1/2); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,dcc,cbd_distance,D_location,level,km,-0.027,,,0.0001,,,,high,distance to city centre in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,kindergarten,school_distance,D_location,level,km,-0.0117,,,0.0145,,,,high,distance to nearest kindergarten in km (mapped to school_distance; kindergarten not primary school),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,school,school_distance,D_location,level,km,-0.0354,,,0.0001,,,,high,distance to nearest primary school in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,subway,transit_distance,D_location,level,km,-0.0146,,,0.0001,,,,high,distance to nearest subway station in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period1 x duga100,green_space,E_environment,dummy,binary,-0.0037,,,0.4587,,,,high,interaction: period1 (built 1950-1989) x duga100 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period1 x duga200,green_space,E_environment,dummy,binary,-0.0015,,,0.6965,,,,high,interaction: period1 (built 1950-1989) x duga200 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period1 x duga300,green_space,E_environment,dummy,binary,0.0009,,,0.807,,,,high,interaction: period1 (built 1950-1989) x duga300 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period1 x duga400,green_space,E_environment,dummy,binary,-0.0009,,,0.8015,,,,high,interaction: period1 (built 1950-1989) x duga400 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period1 x duga500,green_space,E_environment,dummy,binary,0.0042,,,0.2963,,,,high,interaction: period1 (built 1950-1989) x duga500 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period2 x duga100,green_space,E_environment,dummy,binary,0.0993,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga100 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period2 x duga200,green_space,E_environment,dummy,binary,0.031,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga200 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period2 x duga300,green_space,E_environment,dummy,binary,0.022,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga300 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period2 x duga400,green_space,E_environment,dummy,binary,0.0139,,,0.0008,,,,high,interaction: period2 (built after 1989) x duga400 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c1,5,1 (OLS),11,period2 x duga500,green_space,E_environment,dummy,binary,0.004,,,0.3152,,,,high,interaction: period2 (built after 1989) x duga500 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,OLS,43075.0,0.8709,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),10,area,living_area,A_structural,level,m2,0.0257,,,0.0001,,,,high,area of the dwelling in m2 (mean 52.86); entered with area2 (squared term); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),10,area2,living_area,A_structural,squared,m2,-0.0001,,,0.0001,,,,high,square of dwelling area (m2^2); pairs with 'area'; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),10,basement,basement,A_structural,dummy,binary,0.0198,,,0.0001,,,,high,1 if apartment has basement or storage room; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),10,cons1960,age,A_structural,dummy,binary,0.0143,,,0.0001,,,,high,construction period dummy: built 1960-1969 (base cons1950 = built 1950-1959); vintage not age; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,cons1970,age,A_structural,dummy,binary,0.0238,,,0.0001,,,,high,construction period dummy: built 1970-1979 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,cons1980,age,A_structural,dummy,binary,0.0328,,,0.0001,,,,high,construction period dummy: built 1980-1989 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,cons1990,age,A_structural,dummy,binary,0.119,,,0.0001,,,,high,construction period dummy: built 1990-1999 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,cons2000,age,A_structural,dummy,binary,0.196,,,0.0001,,,,high,construction period dummy: built after 2000 (base built 1950-1959); Table 3 also lists cons2010 so cons2000 likely 2000-2009; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,cons2010,age,A_structural,dummy,binary,0.2098,,,0.0001,,,,high,construction period dummy: built 2010+ (base built 1950-1959); cons2010 not described in Table 2 but reported; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,floor2,floor_level,A_structural,dummy,binary,0.0254,,,0.0001,,,,high,floor2 = 'other floors' (base floor1 = ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,floor3,floor_level,A_structural,dummy,binary,0.0288,,,0.0001,,,,high,floor3 = first and second floor (base ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,garage,garage,A_structural,other,ordinal,0.0256,,,0.0001,,,,high,"0 none, 1 parking space outside building, 2 individual space in garage (coded 0/1/2, entered as single variable); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,height,storeys,A_structural,other,ordinal,-0.0038,,,0.0046,,,,high,"building height: 1 = up to 4 floors, 2 = above 5 floors (coded 1/2)",ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,technology,roof_materials,A_structural,other,ordinal,0.0476,,,0.0001,,,,high,"construction technology: 1 = prefabricated, 2 = traditional (coded 1/2); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,dcc,cbd_distance,D_location,level,km,-0.0219,,,0.0001,,,,high,distance to city centre in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,kindergarten,school_distance,D_location,level,km,-0.0024,,,0.569,,,,high,distance to nearest kindergarten in km (mapped to school_distance; kindergarten not primary school),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,school,school_distance,D_location,level,km,-0.029,,,0.0001,,,,high,distance to nearest primary school in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,subway,transit_distance,D_location,level,km,-0.0176,,,0.0001,,,,high,distance to nearest subway station in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period1 x duga100,green_space,E_environment,dummy,binary,-0.0057,,,0.1814,,,,high,interaction: period1 (built 1950-1989) x duga100 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period1 x duga200,green_space,E_environment,dummy,binary,0.002,,,0.5545,,,,high,interaction: period1 (built 1950-1989) x duga200 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period1 x duga300,green_space,E_environment,dummy,binary,-0.0001,,,0.9685,,,,high,interaction: period1 (built 1950-1989) x duga300 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period1 x duga400,green_space,E_environment,dummy,binary,-0.0046,,,0.1672,,,,high,interaction: period1 (built 1950-1989) x duga400 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period1 x duga500,green_space,E_environment,dummy,binary,0.0015,,,0.6614,,,,high,interaction: period1 (built 1950-1989) x duga500 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period2 x duga100,green_space,E_environment,dummy,binary,0.0768,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga100 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period2 x duga200,green_space,E_environment,dummy,binary,0.0273,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga200 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period2 x duga300,green_space,E_environment,dummy,binary,0.0136,,,0.0002,,,,high,interaction: period2 (built after 1989) x duga300 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period2 x duga400,green_space,E_environment,dummy,binary,0.0084,,,0.0191,,,,high,interaction: period2 (built after 1989) x duga400 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c2,5,2 (WLS),11,period2 x duga500,green_space,E_environment,dummy,binary,0.0003,,,0.9339,,,,high,interaction: period2 (built after 1989) x duga500 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,WLS,43075.0,0.8498,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),10,area,living_area,A_structural,level,m2,0.0243,,,0.0001,,,,high,area of the dwelling in m2 (mean 52.86); entered with area2 (squared term); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),10,area2,living_area,A_structural,squared,m2,-0.0001,,,0.0001,,,,high,square of dwelling area (m2^2); pairs with 'area'; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),10,basement,basement,A_structural,dummy,binary,0.0215,,,0.0001,,,,high,1 if apartment has basement or storage room; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),10,cons1960,age,A_structural,dummy,binary,0.0181,,,0.0001,,,,high,construction period dummy: built 1960-1969 (base cons1950 = built 1950-1959); vintage not age; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,cons1970,age,A_structural,dummy,binary,0.0297,,,0.0001,,,,high,construction period dummy: built 1970-1979 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,cons1980,age,A_structural,dummy,binary,0.0408,,,0.0001,,,,high,construction period dummy: built 1980-1989 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,cons1990,age,A_structural,dummy,binary,0.1237,,,0.0001,,,,high,construction period dummy: built 1990-1999 (base built 1950-1959); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,cons2000,age,A_structural,dummy,binary,0.2026,,,0.0001,,,,high,construction period dummy: built after 2000 (base built 1950-1959); Table 3 also lists cons2010 so cons2000 likely 2000-2009; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,cons2010,age,A_structural,dummy,binary,0.1949,,,0.0001,,,,high,construction period dummy: built 2010+ (base built 1950-1959); cons2010 not described in Table 2 but reported; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,floor2,floor_level,A_structural,dummy,binary,0.0267,,,0.0001,,,,high,floor2 = 'other floors' (base floor1 = ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,floor3,floor_level,A_structural,dummy,binary,0.0305,,,0.0001,,,,high,floor3 = first and second floor (base ground floor); p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,garage,garage,A_structural,other,ordinal,0.0265,,,0.0001,,,,high,"0 none, 1 parking space outside building, 2 individual space in garage (coded 0/1/2, entered as single variable); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,height,storeys,A_structural,other,ordinal,-0.0023,,,0.1029,,,,high,"building height: 1 = up to 4 floors, 2 = above 5 floors (coded 1/2)",ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,technology,roof_materials,A_structural,other,ordinal,0.0492,,,0.0001,,,,high,"construction technology: 1 = prefabricated, 2 = traditional (coded 1/2); p printed as 0.0001 (likely <0.0001)",ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,dcc,cbd_distance,D_location,level,km,-0.0237,,,0.0001,,,,high,distance to city centre in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,kindergarten,school_distance,D_location,level,km,-0.0082,,,0.0596,,,,high,distance to nearest kindergarten in km (mapped to school_distance; kindergarten not primary school),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,school,school_distance,D_location,level,km,-0.0294,,,0.0001,,,,high,distance to nearest primary school in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,subway,transit_distance,D_location,level,km,-0.0175,,,0.0001,,,,high,distance to nearest subway station in km; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period1 x duga100,green_space,E_environment,dummy,binary,0.0022,,,0.6303,,,,high,interaction: period1 (built 1950-1989) x duga100 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period1 x duga200,green_space,E_environment,dummy,binary,-0.0034,,,0.3284,,,,high,interaction: period1 (built 1950-1989) x duga200 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period1 x duga300,green_space,E_environment,dummy,binary,-0.0017,,,0.6198,,,,high,interaction: period1 (built 1950-1989) x duga300 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period1 x duga400,green_space,E_environment,dummy,binary,-0.0043,,,0.194,,,,high,interaction: period1 (built 1950-1989) x duga400 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period1 x duga500,green_space,E_environment,dummy,binary,0.0002,,,0.9484,,,,high,interaction: period1 (built 1950-1989) x duga500 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period2 x duga100,green_space,E_environment,dummy,binary,0.0826,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga100 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period2 x duga200,green_space,E_environment,dummy,binary,0.0208,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga200 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period2 x duga300,green_space,E_environment,dummy,binary,0.0147,,,0.0001,,,,high,interaction: period2 (built after 1989) x duga300 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions; p printed as 0.0001 (likely <0.0001),ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period2 x duga400,green_space,E_environment,dummy,binary,0.0111,,,0.0032,,,,high,interaction: period2 (built after 1989) x duga400 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995,d956659c01d343fed17ef54a0b1e248a34a32995:T5-c3,5,3 (Median QR),11,period2 x duga500,green_space,E_environment,dummy,binary,0.0051,,,0.1665,,,,high,interaction: period2 (built after 1989) x duga500 distance band dummy (base >500 m); Table 5 replaces main duga effects by period interactions,ln(sale price),log,quantile,43075.0,,p,"same sample, duga distance bands interacted with construction period (period1 = 1950-1989, period2 = after 1989); year and district dummies included, not extracted; table spans pages 10-11; median (0.5) quantile regression"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Living area,living_area,A_structural,level,sqft,414.48,,,,,,,medium,"Living area in square feet; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Full bath,bathrooms,A_structural,level,count,155785.0,,,,,,,medium,"Number of full bathrooms; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Land value,other,other,level,USD (assessed land value),1.04,,,,,,,medium,"Assessed land value component entered as regressor; taxonomy other; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Half bath,bathrooms,A_structural,level,count (half bathrooms),132309.92,,,,,,,medium,"Number of half bathrooms; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Num bedroom,bedrooms,A_structural,level,count,-7783.65,,,,,,,medium,"Number of bedrooms; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Num kitchen,kitchen_quality,B_interior,level,count (number of kitchens),-232968.69,,,,,,,medium,"Number of kitchens (count, proxy for multi-unit), not kitchen quality; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Gross-living area,other,other,level,"sqft (gross area minus living area, non-livable space)",-268.59,,,,,,,medium,"Constructed variable gross area minus living area; taxonomy other; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Land sf,lot_size,A_structural,level,sqft,0.05,,,,,,,medium,"Land area in square feet; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8,db3684d67741de25ae92064ef093bf9c1d604ef8:T1-c1,1,1,5,Owner occupied,other,other,binary,binary,27603.03,,,,,,,medium,"Owner-occupancy indicator; taxonomy other; slope coefficient in dollars, no SE/t/p reported","Total assessed (appraisal) value, USD, FY2024 City of Boston assessment",level,OLS,,0.736,none,"Multiple linear regression fitted on a 70% training split; ZIP-code dummies (one-hot) included, not extracted; outliers below 1st/above 99th percentile removed; N not stated; RMSE 279,830 USD"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,DAGP,green_space,E_environment,level,km,-0.016,,,,***,,,high,"Straight-line distance from community to the Asian Games Park (sports park), km",ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,DAGP,green_space,E_environment,level,km,-0.003,,,,,,,high,"Straight-line distance from community to the Asian Games Park (sports park), km",ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,DAGP,green_space,E_environment,level,km,-0.019,,,,***,,,high,"Straight-line distance from community to the Asian Games Park (sports park), km",ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,DAGP,green_space,E_environment,level,km,-0.017,,,,***,,,high,"Straight-line distance from community to the Asian Games Park (sports park), km",ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,DAGP,green_space,E_environment,level,km,-0.02,,,,***,,,high,"Straight-line distance from community to the Asian Games Park (sports park), km",ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,lnArea,living_area,A_structural,log,m2,1.084,,,,***,,,high,ln(floor area m2),ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,lnArea,living_area,A_structural,log,m2,1.082,,,,***,,,high,ln(floor area m2),ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,lnArea,living_area,A_structural,log,m2,1.053,,,,***,,,high,ln(floor area m2),ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,lnArea,living_area,A_structural,log,m2,1.054,,,,***,,,high,ln(floor area m2),ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,lnArea,living_area,A_structural,log,m2,1.177,,,,***,,,high,ln(floor area m2),ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,lnAge,age,A_structural,log,years,-0.03,,,,***,,,high,"ln(building age, years)",ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,lnAge,age,A_structural,log,years,0.03,,,,***,,,high,"ln(building age, years)",ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,lnAge,age,A_structural,log,years,-0.03,,,,***,,,high,"ln(building age, years)",ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,lnAge,age,A_structural,log,years,-0.037,,,,***,,,high,"ln(building age, years)",ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,lnAge,age,A_structural,log,years,-0.044,,,,***,,,high,"ln(building age, years)",ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,Green,green_space,E_environment,binary,binary,0.046,,,,***,,,high,Green space available within 1 km of the community =1,ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,Green,green_space,E_environment,binary,binary,0.068,,,,***,,,high,Green space available within 1 km of the community =1,ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,Green,green_space,E_environment,binary,binary,0.042,,,,***,,,high,Green space available within 1 km of the community =1,ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,Green,green_space,E_environment,binary,binary,0.034,,,,***,,,high,Green space available within 1 km of the community =1,ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,Green,green_space,E_environment,binary,binary,0.06,,,,***,,,high,Green space available within 1 km of the community =1,ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,Bus,transit_distance,D_location,level,count (bus routes within 1 km),-0.001,,,,***,,,high,Number of bus routes within 1 km,ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,Bus,transit_distance,D_location,level,count (bus routes within 1 km),-0.001,,,,***,,,high,Number of bus routes within 1 km,ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,Bus,transit_distance,D_location,level,count (bus routes within 1 km),-0.001,,,,***,,,high,Number of bus routes within 1 km,ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,Bus,transit_distance,D_location,level,count (bus routes within 1 km),-0.0,,,,*,,,high,Number of bus routes within 1 km,ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,Bus,transit_distance,D_location,level,count (bus routes within 1 km),0.0,,,,,,,high,Number of bus routes within 1 km,ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,Metro,transit_distance,D_location,binary,binary,0.054,,,,***,,,high,Metro station within 1 km =1,ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,Metro,transit_distance,D_location,binary,binary,0.067,,,,***,,,high,Metro station within 1 km =1,ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,Metro,transit_distance,D_location,binary,binary,0.055,,,,***,,,high,Metro station within 1 km =1,ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,Metro,transit_distance,D_location,binary,binary,0.042,,,,***,,,high,Metro station within 1 km =1,ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,Metro,transit_distance,D_location,binary,binary,0.054,,,,***,,,high,Metro station within 1 km =1,ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,PriSch,school_distance,D_location,binary,binary,0.009,,,,***,,,high,Key primary school within 1 km =1,ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,PriSch,school_distance,D_location,binary,binary,0.02,,,,**,,,high,Key primary school within 1 km =1,ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,PriSch,school_distance,D_location,binary,binary,0.013,,,,**,,,high,Key primary school within 1 km =1,ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,PriSch,school_distance,D_location,binary,binary,0.003,,,,,,,high,Key primary school within 1 km =1,ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,PriSch,school_distance,D_location,binary,binary,0.006,,,,,,,high,Key primary school within 1 km =1,ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,MidSch,school_distance,D_location,binary,binary,0.009,,,,**,,,high,Key middle school within 1 km =1,ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,MidSch,school_distance,D_location,binary,binary,0.001,,,,,,,high,Key middle school within 1 km =1,ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,MidSch,school_distance,D_location,binary,binary,0.007,,,,,,,high,Key middle school within 1 km =1,ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,MidSch,school_distance,D_location,binary,binary,0.012,,,,**,,,high,Key middle school within 1 km =1,ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,MidSch,school_distance,D_location,binary,binary,0.015,,,,*,,,high,Key middle school within 1 km =1,ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,HighSch,school_distance,D_location,binary,binary,0.045,,,,***,,,high,High school within 1 km =1,ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,HighSch,school_distance,D_location,binary,binary,0.07,,,,***,,,high,High school within 1 km =1,ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,HighSch,school_distance,D_location,binary,binary,0.063,,,,***,,,high,High school within 1 km =1,ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,HighSch,school_distance,D_location,binary,binary,0.0,,,,,,,high,High school within 1 km =1,ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,HighSch,school_distance,D_location,binary,binary,0.061,,,,***,,,high,High school within 1 km =1,ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,Univ,university_distance,D_location,binary,binary,0.002,,,,,,,high,University within 1 km =1,ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,Univ,university_distance,D_location,binary,binary,-0.027,,,,***,,,high,University within 1 km =1,ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,Univ,university_distance,D_location,binary,binary,-0.015,,,,**,,,high,University within 1 km =1,ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,Univ,university_distance,D_location,binary,binary,0.021,,,,***,,,high,University within 1 km =1,ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,Univ,university_distance,D_location,binary,binary,0.01,,,,,,,high,University within 1 km =1,ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,lnDHosp,hospital_distance,D_location,log,km,-0.009,,,,***,,,high,"ln(distance to nearest tertiary hospital, km)",ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,lnDHosp,hospital_distance,D_location,log,km,-0.003,,,,,,,high,"ln(distance to nearest tertiary hospital, km)",ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,lnDHosp,hospital_distance,D_location,log,km,-0.009,,,,**,,,high,"ln(distance to nearest tertiary hospital, km)",ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,lnDHosp,hospital_distance,D_location,log,km,-0.013,,,,***,,,high,"ln(distance to nearest tertiary hospital, km)",ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,lnDHosp,hospital_distance,D_location,log,km,-0.006,,,,,,,high,"ln(distance to nearest tertiary hospital, km)",ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,lnDWL,cbd_distance,D_location,log,km,-0.164,,,,***,,,high,"ln(distance to West Lake, traditional cultural/commercial centre, km)",ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,lnDWL,cbd_distance,D_location,log,km,-0.132,,,,***,,,high,"ln(distance to West Lake, traditional cultural/commercial centre, km)",ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,lnDWL,cbd_distance,D_location,log,km,-0.168,,,,***,,,high,"ln(distance to West Lake, traditional cultural/commercial centre, km)",ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,lnDWL,cbd_distance,D_location,log,km,-0.178,,,,***,,,high,"ln(distance to West Lake, traditional cultural/commercial centre, km)",ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,lnDWL,cbd_distance,D_location,log,km,-0.147,,,,***,,,high,"ln(distance to West Lake, traditional cultural/commercial centre, km)",ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c1,2,(1) T,7,lnDQJ,cbd_distance,D_location,log,km,-0.013,,,,***,,,high,"ln(distance to Qianjiang CBD, km)",ln(total transaction price),log,OLS,31329.0,0.77,none,"Baseline OLS, full period Jan 2018-Mar 2023; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c2,2,(2) T1,7,lnDQJ,cbd_distance,D_location,log,km,-0.029,,,,***,,,high,"ln(distance to Qianjiang CBD, km)",ln(total transaction price),log,OLS,3768.0,0.785,none,"Baseline OLS, T1 pre-announcement (1 Jan 2018-4 Apr 2019); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c3,2,(3) T2,7,lnDQJ,cbd_distance,D_location,log,km,-0.065,,,,***,,,high,"ln(distance to Qianjiang CBD, km)",ln(total transaction price),log,OLS,9572.0,0.791,none,"Baseline OLS, T2 post-announcement (5 Apr 2019-31 Jul 2020); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c4,2,(4) T3,7,lnDQJ,cbd_distance,D_location,log,km,0.013,,,,**,,,high,"ln(distance to Qianjiang CBD, km)",ln(total transaction price),log,OLS,11054.0,0.769,none,"Baseline OLS, T3 pre-opening (1 Aug 2020-30 Nov 2021); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T2-c5,2,(5) T4,7,lnDQJ,cbd_distance,D_location,log,km,0.0,,,,,,,high,"ln(distance to Qianjiang CBD, km)",ln(total transaction price),log,OLS,6935.0,0.759,none,"Baseline OLS, T4 post-opening (1 Dec 2021-31 Mar 2023); month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c1,3,(1) T,8,D1,green_space,E_environment,dummy,binary (distance ring),0.349,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,31329.0,0.777,none,"Distance-ring dummies (reference D8 = 9-12 km), full period Jan 2018-Mar 2023; controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c2,3,(2) T1,8,D1,green_space,E_environment,dummy,binary (distance ring),0.18,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,3768.0,0.789,none,"Distance-ring dummies (reference D8 = 9-12 km), T1 pre-announcement (1 Jan 2018-4 Apr 2019); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c3,3,(3) T2,8,D1,green_space,E_environment,dummy,binary (distance ring),0.345,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,9572.0,0.798,none,"Distance-ring dummies (reference D8 = 9-12 km), T2 post-announcement (5 Apr 2019-31 Jul 2020); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c4,3,(4) T3,8,D1,green_space,E_environment,dummy,binary (distance ring),0.368,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,11054.0,0.778,none,"Distance-ring dummies (reference D8 = 9-12 km), T3 pre-opening (1 Aug 2020-30 Nov 2021); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c5,3,(5) T4,8,D1,green_space,E_environment,dummy,binary (distance ring),0.452,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,6935.0,0.767,none,"Distance-ring dummies (reference D8 = 9-12 km), T4 post-opening (1 Dec 2021-31 Mar 2023); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c1,3,(1) T,8,D2,green_space,E_environment,dummy,binary (distance ring),0.115,,,,***,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,31329.0,0.777,none,"Distance-ring dummies (reference D8 = 9-12 km), full period Jan 2018-Mar 2023; controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c2,3,(2) T1,8,D2,green_space,E_environment,dummy,binary (distance ring),-0.003,,,,,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,3768.0,0.789,none,"Distance-ring dummies (reference D8 = 9-12 km), T1 pre-announcement (1 Jan 2018-4 Apr 2019); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c3,3,(3) T2,8,D2,green_space,E_environment,dummy,binary (distance ring),0.154,,,,***,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,9572.0,0.798,none,"Distance-ring dummies (reference D8 = 9-12 km), T2 post-announcement (5 Apr 2019-31 Jul 2020); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c4,3,(4) T3,8,D2,green_space,E_environment,dummy,binary (distance ring),0.12,,,,***,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,11054.0,0.778,none,"Distance-ring dummies (reference D8 = 9-12 km), T3 pre-opening (1 Aug 2020-30 Nov 2021); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c5,3,(5) T4,8,D2,green_space,E_environment,dummy,binary (distance ring),0.16,,,,***,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,6935.0,0.767,none,"Distance-ring dummies (reference D8 = 9-12 km), T4 post-opening (1 Dec 2021-31 Mar 2023); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c1,3,(1) T,8,D3,green_space,E_environment,dummy,binary (distance ring),0.054,,,,***,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,31329.0,0.777,none,"Distance-ring dummies (reference D8 = 9-12 km), full period Jan 2018-Mar 2023; controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c2,3,(2) T1,8,D3,green_space,E_environment,dummy,binary (distance ring),-0.025,,,,,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,3768.0,0.789,none,"Distance-ring dummies (reference D8 = 9-12 km), T1 pre-announcement (1 Jan 2018-4 Apr 2019); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c3,3,(3) T2,8,D3,green_space,E_environment,dummy,binary (distance ring),0.084,,,,***,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,9572.0,0.798,none,"Distance-ring dummies (reference D8 = 9-12 km), T2 post-announcement (5 Apr 2019-31 Jul 2020); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c4,3,(4) T3,8,D3,green_space,E_environment,dummy,binary (distance ring),0.069,,,,***,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,11054.0,0.778,none,"Distance-ring dummies (reference D8 = 9-12 km), T3 pre-opening (1 Aug 2020-30 Nov 2021); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c5,3,(5) T4,8,D3,green_space,E_environment,dummy,binary (distance ring),0.066,,,,***,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,6935.0,0.767,none,"Distance-ring dummies (reference D8 = 9-12 km), T4 post-opening (1 Dec 2021-31 Mar 2023); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c1,3,(1) T,8,D4,green_space,E_environment,dummy,binary (distance ring),0.047,,,,***,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,31329.0,0.777,none,"Distance-ring dummies (reference D8 = 9-12 km), full period Jan 2018-Mar 2023; controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c2,3,(2) T1,8,D4,green_space,E_environment,dummy,binary (distance ring),0.02,,,,,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,3768.0,0.789,none,"Distance-ring dummies (reference D8 = 9-12 km), T1 pre-announcement (1 Jan 2018-4 Apr 2019); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c3,3,(3) T2,8,D4,green_space,E_environment,dummy,binary (distance ring),0.058,,,,***,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,9572.0,0.798,none,"Distance-ring dummies (reference D8 = 9-12 km), T2 post-announcement (5 Apr 2019-31 Jul 2020); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c4,3,(4) T3,8,D4,green_space,E_environment,dummy,binary (distance ring),0.056,,,,***,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,11054.0,0.778,none,"Distance-ring dummies (reference D8 = 9-12 km), T3 pre-opening (1 Aug 2020-30 Nov 2021); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c5,3,(5) T4,8,D4,green_space,E_environment,dummy,binary (distance ring),0.062,,,,***,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,6935.0,0.767,none,"Distance-ring dummies (reference D8 = 9-12 km), T4 post-opening (1 Dec 2021-31 Mar 2023); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c1,3,(1) T,8,D5,green_space,E_environment,dummy,binary (distance ring),0.028,,,,***,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,31329.0,0.777,none,"Distance-ring dummies (reference D8 = 9-12 km), full period Jan 2018-Mar 2023; controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c2,3,(2) T1,8,D5,green_space,E_environment,dummy,binary (distance ring),-0.018,,,,,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,3768.0,0.789,none,"Distance-ring dummies (reference D8 = 9-12 km), T1 pre-announcement (1 Jan 2018-4 Apr 2019); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c3,3,(3) T2,8,D5,green_space,E_environment,dummy,binary (distance ring),0.03,,,,***,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,9572.0,0.798,none,"Distance-ring dummies (reference D8 = 9-12 km), T2 post-announcement (5 Apr 2019-31 Jul 2020); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c4,3,(4) T3,8,D5,green_space,E_environment,dummy,binary (distance ring),0.017,,,,,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,11054.0,0.778,none,"Distance-ring dummies (reference D8 = 9-12 km), T3 pre-opening (1 Aug 2020-30 Nov 2021); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c5,3,(5) T4,8,D5,green_space,E_environment,dummy,binary (distance ring),0.086,,,,***,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,6935.0,0.767,none,"Distance-ring dummies (reference D8 = 9-12 km), T4 post-opening (1 Dec 2021-31 Mar 2023); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c1,3,(1) T,8,D6,green_space,E_environment,dummy,binary (distance ring),-0.01,,,,,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,31329.0,0.777,none,"Distance-ring dummies (reference D8 = 9-12 km), full period Jan 2018-Mar 2023; controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c2,3,(2) T1,8,D6,green_space,E_environment,dummy,binary (distance ring),-0.03,,,,,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,3768.0,0.789,none,"Distance-ring dummies (reference D8 = 9-12 km), T1 pre-announcement (1 Jan 2018-4 Apr 2019); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c3,3,(3) T2,8,D6,green_space,E_environment,dummy,binary (distance ring),0.012,,,,,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,9572.0,0.798,none,"Distance-ring dummies (reference D8 = 9-12 km), T2 post-announcement (5 Apr 2019-31 Jul 2020); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c4,3,(4) T3,8,D6,green_space,E_environment,dummy,binary (distance ring),-0.023,,,,**,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,11054.0,0.778,none,"Distance-ring dummies (reference D8 = 9-12 km), T3 pre-opening (1 Aug 2020-30 Nov 2021); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c5,3,(5) T4,8,D6,green_space,E_environment,dummy,binary (distance ring),0.022,,,,,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,6935.0,0.767,none,"Distance-ring dummies (reference D8 = 9-12 km), T4 post-opening (1 Dec 2021-31 Mar 2023); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c1,3,(1) T,8,D7,green_space,E_environment,dummy,binary (distance ring),-0.018,,,,***,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,31329.0,0.777,none,"Distance-ring dummies (reference D8 = 9-12 km), full period Jan 2018-Mar 2023; controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c2,3,(2) T1,8,D7,green_space,E_environment,dummy,binary (distance ring),0.0,,,,,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,3768.0,0.789,none,"Distance-ring dummies (reference D8 = 9-12 km), T1 pre-announcement (1 Jan 2018-4 Apr 2019); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c3,3,(3) T2,8,D7,green_space,E_environment,dummy,binary (distance ring),-0.017,,,,,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,9572.0,0.798,none,"Distance-ring dummies (reference D8 = 9-12 km), T2 post-announcement (5 Apr 2019-31 Jul 2020); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c4,3,(4) T3,8,D7,green_space,E_environment,dummy,binary (distance ring),-0.008,,,,,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,11054.0,0.778,none,"Distance-ring dummies (reference D8 = 9-12 km), T3 pre-opening (1 Aug 2020-30 Nov 2021); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T3-c5,3,(5) T4,8,D7,green_space,E_environment,dummy,binary (distance ring),-0.024,,,,*,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km,ln(total transaction price),log,OLS,6935.0,0.767,none,"Distance-ring dummies (reference D8 = 9-12 km), T4 post-opening (1 Dec 2021-31 Mar 2023); controls of Table 2 included but not printed; month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T4-c1,4,(1) T,9,DAGP,green_space,E_environment,level,km,-0.009,,,,***,,,high,Distance to Asian Games Park (km); main effect = pre-announcement/pre-opening baseline in DID specification,ln(total transaction price),log,OLS,31329.0,0.77,none,"DID: DAGP plus DAGP x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T4-c2,4,(2) T12,9,DAGP,green_space,E_environment,level,km,-0.01,,,,***,,,high,Distance to Asian Games Park (km); main effect = pre-announcement/pre-opening baseline in DID specification,ln(total transaction price),log,OLS,13340.0,0.789,none,"DID: DAGP plus DAGP x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T4-c3,4,(3) T34,9,DAGP,green_space,E_environment,level,km,-0.018,,,,***,,,high,Distance to Asian Games Park (km); main effect = pre-announcement/pre-opening baseline in DID specification,ln(total transaction price),log,OLS,17989.0,0.762,none,"DID: DAGP plus DAGP x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c1,5,(1) T,9,D1,green_space,E_environment,dummy,binary (distance ring),0.195,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,31329.0,0.778,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c2,5,(2) T12,9,D1,green_space,E_environment,dummy,binary (distance ring),0.214,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,13340.0,0.795,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c3,5,(3) T34,9,D1,green_space,E_environment,dummy,binary (distance ring),0.375,,,,***,,,high,Community within 0-1 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,17989.0,0.771,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c1,5,(1) T,9,D2,green_space,E_environment,dummy,binary (distance ring),0.021,,,,,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,31329.0,0.778,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c2,5,(2) T12,9,D2,green_space,E_environment,dummy,binary (distance ring),0.03,,,,,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,13340.0,0.795,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c3,5,(3) T34,9,D2,green_space,E_environment,dummy,binary (distance ring),0.124,,,,***,,,high,Community within 1-2 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,17989.0,0.771,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c1,5,(1) T,9,D3,green_space,E_environment,dummy,binary (distance ring),0.005,,,,,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,31329.0,0.778,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c2,5,(2) T12,9,D3,green_space,E_environment,dummy,binary (distance ring),0.008,,,,,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,13340.0,0.795,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c3,5,(3) T34,9,D3,green_space,E_environment,dummy,binary (distance ring),0.073,,,,***,,,high,Community within 2-3 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,17989.0,0.771,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c1,5,(1) T,9,D4,green_space,E_environment,dummy,binary (distance ring),0.033,,,,***,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,31329.0,0.778,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c2,5,(2) T12,9,D4,green_space,E_environment,dummy,binary (distance ring),0.045,,,,***,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,13340.0,0.795,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c3,5,(3) T34,9,D4,green_space,E_environment,dummy,binary (distance ring),0.061,,,,***,,,high,Community within 3-4 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,17989.0,0.771,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c1,5,(1) T,9,D5,green_space,E_environment,dummy,binary (distance ring),0.009,,,,,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,31329.0,0.778,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c2,5,(2) T12,9,D5,green_space,E_environment,dummy,binary (distance ring),0.005,,,,,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,13340.0,0.795,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c3,5,(3) T34,9,D5,green_space,E_environment,dummy,binary (distance ring),0.033,,,,***,,,high,Community within 4-5 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,17989.0,0.771,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c1,5,(1) T,9,D6,green_space,E_environment,dummy,binary (distance ring),-0.038,,,,**,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,31329.0,0.778,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c2,5,(2) T12,9,D6,green_space,E_environment,dummy,binary (distance ring),-0.03,,,,**,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,13340.0,0.795,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c3,5,(3) T34,9,D6,green_space,E_environment,dummy,binary (distance ring),-0.006,,,,,,,high,Community within 5-6 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,17989.0,0.771,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c1,5,(1) T,9,D7,green_space,E_environment,dummy,binary (distance ring),-0.006,,,,,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,31329.0,0.778,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), full period Jan 2018-Mar 2023; controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c2,5,(2) T12,9,D7,green_space,E_environment,dummy,binary (distance ring),-0.003,,,,,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,13340.0,0.795,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T12 = T1+T2 (pre- and post-announcement); controls, month FE + region FE"
dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0,dbfc419fae85b2cf607f68db238ec77b3593a5e0:T5-c3,5,(3) T34,9,D7,green_space,E_environment,dummy,binary (distance ring),0.011,,,,,,,high,Community within 6-9 km of the Asian Games Park =1; reference 9-12 km; main effect = baseline period in DID specification,ln(total transaction price),log,OLS,17989.0,0.771,none,"DID with distance rings: D1-D7 plus Dj x T_announced / x T_open interactions (interactions not extracted), T34 = T3+T4 (pre- and post-opening); controls, month FE + region FE"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M1,3,M1,14,X1,cbd_distance,D_location,other,"ordinal rank 1-3 (distance to city centre, higher = closer)",-0.0684,0.0121,-5.6485,0.0,,,,high,"overall location OL; rank 1 >4 km, 2 2.1-4 km, 3 <2 km; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,146.0,0.6345,none,"Full sample S1 (150 developments, outliers removed); SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M1,3,M1,14,X3,floor_level,A_structural,other,"ordinal rank 1-3 (1 ground/top floor, 2 other floors, 3 first/second floor)",0.0211,0.0097,2.174,0.0314,,,,high,floor level FL; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,146.0,0.6345,none,"Full sample S1 (150 developments, outliers removed); SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M1,3,M1,14,X4,living_area,A_structural,other,"ordinal rank 1-3 (1 >55 m2, 2 40-55 m2, 3 <40 m2; higher = smaller)",0.0516,0.0111,4.656,0.0,,,,high,dwelling area DA; dependent variable is price per m2 so smaller dwellings have higher unit price; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,146.0,0.6345,none,"Full sample S1 (150 developments, outliers removed); SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M1,3,M1,14,X5,condition,A_structural,other,"ordinal rank 1-3 (1 poor, 3 good)",0.0518,0.0152,3.3989,0.0009,,,,high,"building condition BC, technical condition of common parts; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,146.0,0.6345,none,"Full sample S1 (150 developments, outliers removed); SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M1,3,M1,14,X6,accessibility,B_interior,other,"ordinal rank 1-3 (1 no amenities, 2 ramp+elevator, 3 ramp+elevator+disabled parking)",0.0329,0.0138,2.3773,0.0188,,,,high,building accessibility BA; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,146.0,0.6345,none,"Full sample S1 (150 developments, outliers removed); SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M1,3,M1,14,X7,other,other,other,"ordinal rank 1-3 (1 bad, 3 good)",0.0495,0.0092,5.3782,0.0,,,,high,cleanliness and orderliness of common property CO; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,146.0,0.6345,none,"Full sample S1 (150 developments, outliers removed); SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M2,3,M2,14,X2,neighbourhood_amenities,F_neighbourhood,other,"ordinal rank 1-3 (mean distance to nearest school, store and transit stop, higher = closer)",0.0347,0.0095,3.6467,0.0007,,,,high,"neighbourhood location NL; rank 1 >0.5 km, 2 0.25-0.5 km, 3 <0.25 km; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,47.0,0.6752,none,"Subsample S2: developments managed by municipal companies; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M2,3,M2,14,X3,floor_level,A_structural,other,"ordinal rank 1-3 (1 ground/top floor, 2 other floors, 3 first/second floor)",0.019,0.0076,2.4687,0.0178,,,,high,floor level FL; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,47.0,0.6752,none,"Subsample S2: developments managed by municipal companies; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M2,3,M2,14,X5,condition,A_structural,other,"ordinal rank 1-3 (1 poor, 3 good)",0.0217,0.0098,2.2129,0.0325,,,,high,"building condition BC, technical condition of common parts; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,47.0,0.6752,none,"Subsample S2: developments managed by municipal companies; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M2,3,M2,14,X7,other,other,other,"ordinal rank 1-3 (1 bad, 3 good)",0.0354,0.0122,2.8845,0.0062,,,,high,cleanliness and orderliness of common property CO; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,47.0,0.6752,none,"Subsample S2: developments managed by municipal companies; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M2,3,M2,14,X8,landscaping,C_exterior,other,"ordinal rank 1-3 (1 poor, 3 good)",0.0293,0.0123,2.3769,0.0222,,,,high,"land development LD of common areas: green areas, footpaths, roads, parking, recreation facilities; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,47.0,0.6752,none,"Subsample S2: developments managed by municipal companies; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M3,3,M3,14,X4,living_area,A_structural,other,"ordinal rank 1-3 (1 >55 m2, 2 40-55 m2, 3 <40 m2; higher = smaller)",0.0454,0.0106,4.2847,0.0001,,,,high,dwelling area DA; dependent variable is price per m2 so smaller dwellings have higher unit price; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,46.0,0.6496,none,"Subsample S3: developments managed by housing cooperatives; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M3,3,M3,14,X6,accessibility,B_interior,other,"ordinal rank 1-3 (1 no amenities, 2 ramp+elevator, 3 ramp+elevator+disabled parking)",0.0328,0.0141,2.3329,0.0249,,,,high,building accessibility BA; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,46.0,0.6496,none,"Subsample S3: developments managed by housing cooperatives; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M3,3,M3,14,X7,other,other,other,"ordinal rank 1-3 (1 bad, 3 good)",0.0456,0.0141,3.2439,0.0024,,,,high,cleanliness and orderliness of common property CO; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,46.0,0.6496,none,"Subsample S3: developments managed by housing cooperatives; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M3,3,M3,14,X8,landscaping,C_exterior,other,"ordinal rank 1-3 (1 poor, 3 good)",0.033,0.0158,2.0799,0.0441,,,,high,"land development LD of common areas: green areas, footpaths, roads, parking, recreation facilities; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,46.0,0.6496,none,"Subsample S3: developments managed by housing cooperatives; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M4,3,M4,14,X2,neighbourhood_amenities,F_neighbourhood,other,"ordinal rank 1-3 (mean distance to nearest school, store and transit stop, higher = closer)",0.0597,0.0234,2.5526,0.0145,,,,high,"neighbourhood location NL; rank 1 >0.5 km, 2 0.25-0.5 km, 3 <0.25 km; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,47.0,0.7317,none,"Subsample S4: developments managed by private firms; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M4,3,M4,14,X4,living_area,A_structural,other,"ordinal rank 1-3 (1 >55 m2, 2 40-55 m2, 3 <40 m2; higher = smaller)",0.0529,0.0141,3.7544,0.0005,,,,high,dwelling area DA; dependent variable is price per m2 so smaller dwellings have higher unit price; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,47.0,0.7317,none,"Subsample S4: developments managed by private firms; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M4,3,M4,14,X5,condition,A_structural,other,"ordinal rank 1-3 (1 poor, 3 good)",0.0461,0.019,2.4304,0.0195,,,,high,"building condition BC, technical condition of common parts; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,47.0,0.7317,none,"Subsample S4: developments managed by private firms; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M4,3,M4,14,X7,other,other,other,"ordinal rank 1-3 (1 bad, 3 good)",0.057,0.0264,2.1616,0.0365,,,,high,cleanliness and orderliness of common property CO; ordinal rank regressor entered as level,"ln(price per m2, PLN)",log,OLS,47.0,0.7317,none,"Subsample S4: developments managed by private firms; SE, t and p in separate columns"
ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976,ddac707c3201e8fd8ee39f4a8176310e5a638976:T3-M4,3,M4,14,X8,landscaping,C_exterior,other,"ordinal rank 1-3 (1 poor, 3 good)",0.0447,0.0176,2.536,0.0151,,,,high,"land development LD of common areas: green areas, footpaths, roads, parking, recreation facilities; ordinal rank regressor entered as level","ln(price per m2, PLN)",log,OLS,47.0,0.7317,none,"Subsample S4: developments managed by private firms; SE, t and p in separate columns"
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Metro: 0 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.131,0.025,,,***,,,high,metro station within 0-400 m; reference >1500 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Metro: 0 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.131,0.02,,,***,,,high,metro station within 0-400 m; reference >1500 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Metro: 0 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.084,0.014,,,***,,,high,metro station within 0-400 m; reference >1500 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Metro: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.132,0.026,,,***,,,high,reference metro >1500 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Metro: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.133,0.017,,,***,,,high,reference metro >1500 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Metro: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.088,0.012,,,***,,,high,reference metro >1500 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Metro: 800 - 1500 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.108,0.021,,,***,,,high,reference metro >1500 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Metro: 800 - 1500 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.11,0.017,,,***,,,high,reference metro >1500 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Metro: 800 - 1500 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.069,0.013,,,***,,,high,reference metro >1500 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Centrum: 0 - 3 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.25,0.051,,,***,,,high,distance to city centre 0-3 km; reference >10 km,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Centrum: 0 - 3 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.251,0.028,,,***,,,high,distance to city centre 0-3 km; reference >10 km,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Centrum: 0 - 3 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.173,0.021,,,***,,,high,distance to city centre 0-3 km; reference >10 km,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Centrum: 3 - 5 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.212,0.047,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Centrum: 3 - 5 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.209,0.023,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Centrum: 3 - 5 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.152,0.017,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Centrum: 5- 7 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.126,0.033,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Centrum: 5- 7 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.118,0.02,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Centrum: 5- 7 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.092,0.014,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Centrum: 7 - 10 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.103,0.034,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Centrum: 7 - 10 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.104,0.016,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Centrum: 7 - 10 km,cbd_distance,D_location,dummy,"binary (distance band, km)",0.078,0.011,,,***,,,high,reference >10 km,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Tram: 0 - 200 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.049,0.018,,,***,,,high,tram stop within 0-200 m; reference >800 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Tram: 0 - 200 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.032,0.016,,,*,,,high,tram stop within 0-200 m; reference >800 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Tram: 0 - 200 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.03,0.012,,,***,,,high,tram stop within 0-200 m; reference >800 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Tram: 200 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.006,0.018,,,,,,high,reference tram >800 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Tram: 200 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.003,0.015,,,,,,high,reference tram >800 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Tram: 200 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.002,0.011,,,,,,high,reference tram >800 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Tram: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.045,0.019,,,**,,,high,reference tram >800 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Tram: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.044,0.014,,,***,,,high,reference tram >800 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Tram: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.035,0.01,,,***,,,high,reference tram >800 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Bus: 0 -100 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.044,0.023,,,**,,,high,bus stop within 0-100 m; reference >400 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Bus: 0 -100 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.027,0.02,,,,,,high,bus stop within 0-100 m; reference >400 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Bus: 0 -100 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.031,0.016,,,**,,,high,bus stop within 0-100 m; reference >400 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Bus: 100 - 250 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.019,0.02,,,,,,high,reference bus >400 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Bus: 100 - 250 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.001,0.019,,,,,,high,reference bus >400 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Bus: 100 - 250 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.007,0.015,,,,,,high,reference bus >400 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Bus: 250 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",-0.006,0.018,,,,,,high,reference bus >400 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Bus: 250 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.007,0.019,,,,,,high,reference bus >400 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Bus: 250 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.003,0.016,,,,,,high,reference bus >400 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Square meters: 0-35,living_area,A_structural,dummy,"binary (area band, m2)",0.054,0.011,,,***,,,high,usable area 0-35 m2; reference 35-60 m2; dependent variable is price per m2,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Square meters: 0-35,living_area,A_structural,dummy,"binary (area band, m2)",0.055,0.01,,,***,,,high,usable area 0-35 m2; reference 35-60 m2; dependent variable is price per m2,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Square meters: 0-35,living_area,A_structural,dummy,"binary (area band, m2)",0.052,0.01,,,***,,,high,usable area 0-35 m2; reference 35-60 m2; dependent variable is price per m2,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Square meters: 60-90,living_area,A_structural,dummy,"binary (area band, m2)",0.0,0.01,,,,,,high,reference 35-60 m2,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Square meters: 60-90,living_area,A_structural,dummy,"binary (area band, m2)",-0.009,0.008,,,,,,high,reference 35-60 m2,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Square meters: 60-90,living_area,A_structural,dummy,"binary (area band, m2)",-0.005,0.008,,,,,,high,reference 35-60 m2,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Square meters: >90,living_area,A_structural,dummy,"binary (area band, m2)",0.011,0.043,,,,,,high,reference 35-60 m2,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Square meters: >90,living_area,A_structural,dummy,"binary (area band, m2)",-0.002,0.011,,,,,,high,reference 35-60 m2,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Square meters: >90,living_area,A_structural,dummy,"binary (area band, m2)",0.003,0.01,,,,,,high,reference 35-60 m2,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Floor 1,floor_level,A_structural,dummy,binary (floor),0.047,0.018,,,***,,,high,reference ground floor (Floor 0),"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Floor 1,floor_level,A_structural,dummy,binary (floor),0.038,0.011,,,***,,,high,reference ground floor (Floor 0),"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Floor 1,floor_level,A_structural,dummy,binary (floor),0.038,0.011,,,***,,,high,reference ground floor (Floor 0),"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Floor 2,floor_level,A_structural,dummy,binary (floor),0.036,0.022,,,*,,,high,reference ground floor,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Floor 2,floor_level,A_structural,dummy,binary (floor),0.02,0.011,,,*,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Floor 2,floor_level,A_structural,dummy,binary (floor),0.025,0.011,,,**,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Floor 3,floor_level,A_structural,dummy,binary (floor),0.034,0.02,,,*,,,high,reference ground floor,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Floor 3,floor_level,A_structural,dummy,binary (floor),0.019,0.011,,,*,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Floor 3,floor_level,A_structural,dummy,binary (floor),0.024,0.011,,,**,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Floor 4,floor_level,A_structural,dummy,binary (floor),0.041,0.024,,,*,,,high,reference ground floor,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Floor 4,floor_level,A_structural,dummy,binary (floor),0.033,0.012,,,***,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Floor 4,floor_level,A_structural,dummy,binary (floor),0.034,0.012,,,***,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Floor 5-6,floor_level,A_structural,dummy,binary (floor),0.044,0.022,,,**,,,high,reference ground floor,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Floor 5-6,floor_level,A_structural,dummy,binary (floor),0.034,0.013,,,***,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Floor 5-6,floor_level,A_structural,dummy,binary (floor),0.035,0.013,,,***,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Floor 7-9,floor_level,A_structural,dummy,binary (floor),0.024,0.024,,,,,,high,reference ground floor,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Floor 7-9,floor_level,A_structural,dummy,binary (floor),0.024,0.017,,,,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Floor 7-9,floor_level,A_structural,dummy,binary (floor),0.021,0.017,,,,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Floor >=10,floor_level,A_structural,dummy,binary (floor),0.053,0.033,,,,,,high,reference ground floor,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Floor >=10,floor_level,A_structural,dummy,binary (floor),0.068,0.024,,,***,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Floor >=10,floor_level,A_structural,dummy,binary (floor),0.056,0.024,,,**,,,high,reference ground floor,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Perpetual ownership,other,other,binary,binary,0.033,0.012,,,***,,,high,perpetual usufruct ownership vs private ownership (reference),"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Perpetual ownership,other,other,binary,binary,0.033,0.009,,,***,,,high,perpetual usufruct ownership vs private ownership (reference),"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Perpetual ownership,other,other,binary,binary,0.032,0.008,,,***,,,high,perpetual usufruct ownership vs private ownership (reference),"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Other type of ownership,other,other,binary,binary,-0.001,0.044,,,,,,high,other ownership type vs private ownership,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Other type of ownership,other,other,binary,binary,0.019,0.052,,,,,,high,other ownership type vs private ownership,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Other type of ownership,other,other,binary,binary,0.018,0.05,,,,,,high,other ownership type vs private ownership,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Parking,parking,A_structural,binary,binary,0.001,0.011,,,,,,high,parking place,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Parking,parking,A_structural,binary,binary,0.007,0.008,,,,,,high,parking place,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Parking,parking,A_structural,binary,binary,0.005,0.008,,,,,,high,parking place,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Age of the building: 0-2,age,A_structural,dummy,"binary (age band, years)",0.129,0.02,,,***,,,high,building age 0-2 years; reference >50 years,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Age of the building: 0-2,age,A_structural,dummy,"binary (age band, years)",0.135,0.014,,,***,,,high,building age 0-2 years; reference >50 years,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Age of the building: 0-2,age,A_structural,dummy,"binary (age band, years)",0.119,0.013,,,***,,,high,building age 0-2 years; reference >50 years,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,15,Age of the building: 2-10,age,A_structural,dummy,"binary (age band, years)",0.177,0.02,,,***,,,high,reference >50 years; SEs printed at top of p.16,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,15,Age of the building: 2-10,age,A_structural,dummy,"binary (age band, years)",0.171,0.013,,,***,,,high,reference >50 years; SEs printed at top of p.16,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,15,Age of the building: 2-10,age,A_structural,dummy,"binary (age band, years)",0.157,0.013,,,***,,,high,reference >50 years; SEs printed at top of p.16,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Age of the building: 10-50,age,A_structural,dummy,"binary (age band, years)",-0.014,0.016,,,,,,high,reference >50 years,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Age of the building: 10-50,age,A_structural,dummy,"binary (age band, years)",0.002,0.01,,,,,,high,reference >50 years,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Age of the building: 10-50,age,A_structural,dummy,"binary (age band, years)",-0.005,0.01,,,,,,high,reference >50 years,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Primary market,other,other,binary,binary,-0.082,0.019,,,***,,,high,primary (developer/new-build) market vs secondary market,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Primary market,other,other,binary,binary,-0.069,0.011,,,***,,,high,primary (developer/new-build) market vs secondary market,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Primary market,other,other,binary,binary,-0.065,0.011,,,***,,,high,primary (developer/new-build) market vs secondary market,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Living condition index,other,other,level,index (0-1),0.169,0.11,,,,,,high,district-level living condition index (GUS/MOBP),"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Living condition index,other,other,level,index (0-1),0.219,0.065,,,***,,,high,district-level living condition index (GUS/MOBP),"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Living condition index,other,other,level,index (0-1),0.122,0.047,,,***,,,high,district-level living condition index (GUS/MOBP),"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Population density (thousands/m2),density,F_neighbourhood,level,thousand inhabitants per km2 (printed as thousands/m2),-0.009,0.006,,,,,,high,district level,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Population density (thousands/m2),density,F_neighbourhood,level,thousand inhabitants per km2 (printed as thousands/m2),-0.013,0.004,,,***,,,high,district level,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Population density (thousands/m2),density,F_neighbourhood,level,thousand inhabitants per km2 (printed as thousands/m2),-0.008,0.003,,,***,,,high,district level,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Share of green areas,green_space,E_environment,level,percent,-0.001,0.001,,,,,,high,district share of green areas,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Share of green areas,green_space,E_environment,level,percent,-0.001,0.001,,,***,,,high,district share of green areas,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Share of green areas,green_space,E_environment,level,percent,-0.001,0.0,,,**,,,high,district share of green areas,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Share of recreational areas,neighbourhood_amenities,F_neighbourhood,level,percent,0.006,0.002,,,***,,,high,district share of recreational areas,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Share of recreational areas,neighbourhood_amenities,F_neighbourhood,level,percent,0.006,0.001,,,***,,,high,district share of recreational areas,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Share of recreational areas,neighbourhood_amenities,F_neighbourhood,level,percent,0.005,0.001,,,***,,,high,district share of recreational areas,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Crimes per 1000 inhabitants,crime,F_neighbourhood,level,crimes per 1000 inhabitants,-0.0,0.001,,,,,,high,district level,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Crimes per 1000 inhabitants,crime,F_neighbourhood,level,crimes per 1000 inhabitants,-0.001,0.001,,,**,,,high,district level,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Crimes per 1000 inhabitants,crime,F_neighbourhood,level,crimes per 1000 inhabitants,-0.001,0.0,,,**,,,high,district level,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c1,A.1,OLS,16,Children per 1000 children in kindergartens,public_services,F_neighbourhood,level,children in kindergartens per 1000 children,0.0,0.0,,,,,,high,district childcare availability; coefficient rounds to 0.000,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Full sample; year/quarter FE; OLS
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c2,A.1,SEM,16,Children per 1000 children in kindergartens,public_services,F_neighbourhood,level,children in kindergartens per 1000 children,0.0,0.0,,,,,,high,district childcare availability; coefficient rounds to 0.000,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Full sample; year/quarter FE; SEM
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:TA1-c3,A.1,SAR,16,Children per 1000 children in kindergartens,public_services,F_neighbourhood,level,children in kindergartens per 1000 children,0.0,0.0,,,*,,,high,district childcare availability; coefficient rounds to 0.000,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Full sample; year/quarter FE; SAR
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c1,6,OLS,11,Metro: 0 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.13,0.026,,,***,,,high,main effect in interaction model; reference >1500 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c2,6,SEM,11,Metro: 0 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.132,0.021,,,***,,,high,main effect in interaction model; reference >1500 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c3,6,SAR,11,Metro: 0 - 400 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.084,0.015,,,***,,,high,main effect in interaction model; reference >1500 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c1,6,OLS,11,Metro: 0 - 400 m x MOT,transit_distance,D_location,other,binary x binary interaction,0.001,0.025,,,,,,high,interaction with MOT dummy (bus/tram closer than metro by >250 m),"ln(price per m2, PLN)",log,OLS,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c2,6,SEM,11,Metro: 0 - 400 m x MOT,transit_distance,D_location,other,binary x binary interaction,-0.006,0.038,,,,,,high,interaction with MOT dummy (bus/tram closer than metro by >250 m),"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c3,6,SAR,11,Metro: 0 - 400 m x MOT,transit_distance,D_location,other,binary x binary interaction,-0.002,0.036,,,,,,high,interaction with MOT dummy (bus/tram closer than metro by >250 m),"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c1,6,OLS,11,Metro: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.181,0.034,,,***,,,high,main effect in interaction model; reference >1500 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c2,6,SEM,11,Metro: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.143,0.032,,,***,,,high,main effect in interaction model; reference >1500 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c3,6,SAR,11,Metro: 400 - 800 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.115,0.028,,,***,,,high,main effect in interaction model; reference >1500 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c1,6,OLS,11,Metro: 400 - 800 m x MOT,transit_distance,D_location,other,binary x binary interaction,-0.055,0.025,,,**,,,high,interaction with MOT dummy,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c2,6,SEM,11,Metro: 400 - 800 m x MOT,transit_distance,D_location,other,binary x binary interaction,-0.011,0.032,,,,,,high,interaction with MOT dummy,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c3,6,SAR,11,Metro: 400 - 800 m x MOT,transit_distance,D_location,other,binary x binary interaction,-0.03,0.013,,,,,,high,interaction with MOT dummy,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c1,6,OLS,11,Metro: 800 - 1500 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.108,0.021,,,***,,,high,reference >1500 m,"ln(price per m2, PLN)",log,OLS,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c2,6,SEM,11,Metro: 800 - 1500 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.11,0.017,,,***,,,high,reference >1500 m,"ln(price per m2, PLN)",log,spatial_error,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa,dde22a8458111f4d97568d09ce7efc13ea6e96aa:T6-c3,6,SAR,11,Metro: 800 - 1500 m,transit_distance,D_location,dummy,"binary (distance band, m)",0.069,0.029,,,***,,,high,reference >1500 m,"ln(price per m2, PLN)",log,spatial_lag,5576.0,,se,Model with metro x MOT interactions; same controls as Table 4/A.1 (other coefficients not printed in dump; Appendix Table A.3)
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Number of bathrooms,bathrooms,A_structural,level,count,0.1104,,21.19,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Number of bathrooms,bathrooms,A_structural,level,count,0.1103,,21.14,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Number of bathrooms,bathrooms,A_structural,level,count,0.1132,,22.08,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Number of bathrooms,bathrooms,A_structural,level,count,0.1121,,21.88,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Total number of rooms,bedrooms,A_structural,level,count,0.013,,6.15,,*,,,high,"total number of rooms, not bedrooms; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Total number of rooms,bedrooms,A_structural,level,count,0.0131,,6.16,,*,,,high,"total number of rooms, not bedrooms; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Total number of rooms,bedrooms,A_structural,level,count,0.011,,5.28,,*,,,high,"total number of rooms, not bedrooms; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Total number of rooms,bedrooms,A_structural,level,count,0.0114,,5.48,,*,,,high,"total number of rooms, not bedrooms; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Floor space (100s sq ft),living_area,A_structural,level,100 sqft,0.0211,,34.06,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Floor space (100s sq ft),living_area,A_structural,level,100 sqft,0.021,,34.04,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Floor space (100s sq ft),living_area,A_structural,level,100 sqft,0.0214,,35.23,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Floor space (100s sq ft),living_area,A_structural,level,100 sqft,0.0214,,35.21,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Has basement,basement,A_structural,binary,binary,0.0974,,15.44,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Has basement,basement,A_structural,binary,binary,0.097,,15.13,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Has basement,basement,A_structural,binary,binary,0.1087,,17.43,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Has basement,basement,A_structural,binary,binary,0.1036,,16.43,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Age,age,A_structural,level,years,-0.0024,,15.71,,*,,,high,t-values printed as absolute values; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Age,age,A_structural,level,years,-0.0024,,14.65,,*,,,high,t-values printed as absolute values; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Age,age,A_structural,level,years,-0.0021,,14.17,,*,,,high,t-values printed as absolute values; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Age,age,A_structural,level,years,-0.0024,,15.07,,*,,,high,t-values printed as absolute values; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Lot area <= 0.5 acre,lot_size,A_structural,dummy,binary,-0.0492,,6.23,,*,,,high,dummy for lot <= 0.5 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Lot area <= 0.5 acre,lot_size,A_structural,dummy,binary,-0.0493,,6.24,,*,,,high,dummy for lot <= 0.5 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Lot area <= 0.5 acre,lot_size,A_structural,dummy,binary,-0.0416,,5.35,,*,,,high,dummy for lot <= 0.5 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Lot area <= 0.5 acre,lot_size,A_structural,dummy,binary,-0.0426,,5.49,,*,,,high,dummy for lot <= 0.5 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Lot area >= 1.0 acre,lot_size,A_structural,dummy,binary,0.0956,,6.1,,*,,,high,dummy for lot >= 1.0 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Lot area >= 1.0 acre,lot_size,A_structural,dummy,binary,0.0959,,6.11,,*,,,high,dummy for lot >= 1.0 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Lot area >= 1.0 acre,lot_size,A_structural,dummy,binary,0.0951,,6.18,,*,,,high,dummy for lot >= 1.0 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Lot area >= 1.0 acre,lot_size,A_structural,dummy,binary,0.0996,,6.47,,*,,,high,dummy for lot >= 1.0 acre (reference 0.5-1.0 acre); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Has garage,garage,A_structural,binary,binary,0.0855,,19.81,,*,,,high,"Table 1 and Table 5 label this variable 'Garage bays' (mean 1.622), so it may be a count of bays; Table 2 prints 'Has garage'; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Has garage,garage,A_structural,binary,binary,0.0855,,19.81,,*,,,high,"Table 1 and Table 5 label this variable 'Garage bays' (mean 1.622), so it may be a count of bays; Table 2 prints 'Has garage'; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Has garage,garage,A_structural,binary,binary,0.0842,,19.83,,*,,,high,"Table 1 and Table 5 label this variable 'Garage bays' (mean 1.622), so it may be a count of bays; Table 2 prints 'Has garage'; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Has garage,garage,A_structural,binary,binary,0.0843,,19.88,,*,,,high,"Table 1 and Table 5 label this variable 'Garage bays' (mean 1.622), so it may be a count of bays; Table 2 prints 'Has garage'; * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Has porch or deck,terrace_balcony,C_exterior,binary,binary,0.0477,,8.66,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Has porch or deck,terrace_balcony,C_exterior,binary,binary,0.0478,,8.67,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Has porch or deck,terrace_balcony,C_exterior,binary,binary,0.0456,,8.42,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Has porch or deck,terrace_balcony,C_exterior,binary,binary,0.047,,8.68,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Exterior brick or stone,roof_materials,A_structural,binary,binary,0.084,,13.95,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Exterior brick or stone,roof_materials,A_structural,binary,binary,0.0841,,13.96,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Exterior brick or stone,roof_materials,A_structural,binary,binary,0.0777,,13.12,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Exterior brick or stone,roof_materials,A_structural,binary,binary,0.0784,,13.25,,*,,,high,* = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,No air conditioning,air_conditioning,A_structural,binary,binary,-0.2511,,29.12,,*,,,high,reverse-coded: dummy = 1 if NO air conditioning; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,No air conditioning,air_conditioning,A_structural,binary,binary,-0.2512,,29.11,,*,,,high,reverse-coded: dummy = 1 if NO air conditioning; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,No air conditioning,air_conditioning,A_structural,binary,binary,-0.2444,,28.8,,*,,,high,reverse-coded: dummy = 1 if NO air conditioning; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,No air conditioning,air_conditioning,A_structural,binary,binary,-0.2451,,28.91,,*,,,high,reverse-coded: dummy = 1 if NO air conditioning; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Effective tax rate,public_services,F_neighbourhood,level,"annual property tax per $1,000 of sales price",-0.2393,,70.28,,*,,,high,annual property tax payment divided by sales price in thousands (Table 5 says per $100); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Effective tax rate,public_services,F_neighbourhood,level,"annual property tax per $1,000 of sales price",-0.2393,,70.2,,*,,,high,annual property tax payment divided by sales price in thousands (Table 5 says per $100); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Effective tax rate,public_services,F_neighbourhood,level,"annual property tax per $1,000 of sales price",-0.2385,,71.24,,*,,,high,annual property tax payment divided by sales price in thousands (Table 5 says per $100); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Effective tax rate,public_services,F_neighbourhood,level,"annual property tax per $1,000 of sales price",-0.2376,,71.01,,*,,,high,annual property tax payment divided by sales price in thousands (Table 5 says per $100); * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,School district SAT,school_quality,F_neighbourhood,level,SAT points,0.0004,,5.56,,*,,,high,mean SAT score of school district; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,School district SAT,school_quality,F_neighbourhood,level,SAT points,0.0004,,5.45,,*,,,high,mean SAT score of school district; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,School district SAT,school_quality,F_neighbourhood,level,SAT points,0.0003,,4.6,,*,,,high,mean SAT score of school district; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,School district SAT,school_quality,F_neighbourhood,level,SAT points,0.0003,,3.66,,*,,,high,mean SAT score of school district; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Neighborhood median income,income,F_neighbourhood,level,1000 USD,0.0051,,22.36,,*,,,medium,"1-mile radius neighbourhood, Census 2000; unit $1,000 inferred from Table 5 (unit change = +0.51%); * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Neighborhood median income,income,F_neighbourhood,level,1000 USD,0.0051,,17.88,,*,,,medium,"1-mile radius neighbourhood, Census 2000; unit $1,000 inferred from Table 5 (unit change = +0.51%); * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Neighborhood median income,income,F_neighbourhood,level,1000 USD,0.0049,,22.15,,*,,,medium,"1-mile radius neighbourhood, Census 2000; unit $1,000 inferred from Table 5 (unit change = +0.51%); * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Neighborhood median income,income,F_neighbourhood,level,1000 USD,0.0058,,20.54,,*,,,medium,"1-mile radius neighbourhood, Census 2000; unit $1,000 inferred from Table 5 (unit change = +0.51%); * = p<0.001; t-value in parentheses",log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Neighborhood percent black,demographics,F_neighbourhood,level,percent,-0.0005,,3.31,,*,,,high,percent African-American within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Neighborhood percent black,demographics,F_neighbourhood,level,percent,-0.0005,,3.31,,*,,,high,percent African-American within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Neighborhood percent black,demographics,F_neighbourhood,level,percent,-0.0009,,6.73,,*,,,high,percent African-American within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Neighborhood percent black,demographics,F_neighbourhood,level,percent,-0.001,,6.99,,*,,,high,percent African-American within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c1,2,1,8,Neighborhood percent vacant,vacancy,F_neighbourhood,level,percent,-0.0216,,22.34,,*,,,high,percent housing units vacant within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,Base Model
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Neighborhood percent vacant,vacancy,F_neighbourhood,level,percent,-0.0216,,22.34,,*,,,high,percent housing units vacant within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c3,2,3,8,Neighborhood percent vacant,vacancy,F_neighbourhood,level,percent,-0.0135,,12.74,,*,,,high,percent housing units vacant within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8627,t,Center Township
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Neighborhood percent vacant,vacancy,F_neighbourhood,level,percent,-0.0129,,12.08,,*,,,high,percent housing units vacant within 1-mile radius; * = p<0.001; t-value in parentheses,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c2,2,2,8,Distance to CBD,cbd_distance,D_location,level,km,-0.0004,,0.35,,,,,high,"not significant; t printed as absolute value; Table 3 reports SE 0.0011, p 0.7285",log sales price,log,OLS,8772.0,0.8579,t,CBD Distance
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T2-c4,2,4,8,Distance to CBD,cbd_distance,D_location,level,km,-0.0055,,5.1,,*,,,high,model includes Center Township dummy; * = p<0.001,log sales price,log,OLS,8772.0,0.8631,t,Center Township + CBD
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m2,3,Free-flow travel time to CBD,9,Free-flow travel time to CBD,cbd_distance,D_location,level,minutes,-0.0033,0.0013,-2.6385,0.0083,,,,high,free-flow road travel time to CBD,log sales price,log,OLS,8772.0,0.858,none,"Base model (Table 2 Model 1 covariates) + Free-flow travel time to CBD; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m3,3,Congested travel time to CBD,9,Congested travel time to CBD,cbd_distance,D_location,level,minutes,-0.0066,0.0012,-5.2895,0.0,,,,high,congested (peak) road travel time to CBD,log sales price,log,OLS,8772.0,0.8583,none,"Base model (Table 2 Model 1 covariates) + Congested travel time to CBD; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m4,3,Distance to 3 TAZ employment centers,9,Distance to CBD,cbd_distance,D_location,level,km,0.0005,0.0012,0.4542,0.6497,,,,high,jointly with distances to 2 other employment centres,log sales price,log,OLS,8772.0,0.8605,none,"Base model (Table 2 Model 1 covariates) + Distance to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m4,3,Distance to 3 TAZ employment centers,9,Distance to Keystone/Castleton,employment_access,D_location,level,km,-0.0008,0.0006,-1.2444,0.2134,,,,high,airline distance to Keystone/Castleton employment centre,log sales price,log,OLS,8772.0,0.8605,none,"Base model (Table 2 Model 1 covariates) + Distance to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m4,3,Distance to 3 TAZ employment centers,9,Distance to West 86th Street,employment_access,D_location,level,km,-0.0048,0.0006,-7.9205,0.0,,,,high,airline distance to West 86th Street employment centre,log sales price,log,OLS,8772.0,0.8605,none,"Base model (Table 2 Model 1 covariates) + Distance to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m5,3,Free-flow travel time to 3 TAZ employment centers,9,Free-flow travel time to CBD,cbd_distance,D_location,level,minutes,-0.0032,0.0014,-2.3359,0.0195,,,,high,,log sales price,log,OLS,8772.0,0.8608,none,"Base model (Table 2 Model 1 covariates) + Free-flow travel time to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m5,3,Free-flow travel time to 3 TAZ employment centers,9,Free-flow time to Keyston/Castleton,employment_access,D_location,level,minutes,-0.0015,0.0006,-2.3661,0.018,,,,high,free-flow travel time to Keystone/Castleton employment centre,log sales price,log,OLS,8772.0,0.8608,none,"Base model (Table 2 Model 1 covariates) + Free-flow travel time to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m5,3,Free-flow travel time to 3 TAZ employment centers,9,Free-flow time to West 86th Street,employment_access,D_location,level,minutes,-0.006,0.0006,-9.2329,0.0,,,,high,free-flow travel time to West 86th Street employment centre,log sales price,log,OLS,8772.0,0.8608,none,"Base model (Table 2 Model 1 covariates) + Free-flow travel time to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m6,3,Congested travel time to 3 TAZ employment centers,9,Congested travel time to CBD,cbd_distance,D_location,level,minutes,-0.005,0.0013,-3.8608,0.0001,,,,high,,log sales price,log,OLS,8772.0,0.861,none,"Base model (Table 2 Model 1 covariates) + Congested travel time to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m6,3,Congested travel time to 3 TAZ employment centers,9,Congested time to Keystone/Castleton,employment_access,D_location,level,minutes,-0.001,0.0006,-1.7612,0.0782,,,,high,congested travel time to Keystone/Castleton employment centre,log sales price,log,OLS,8772.0,0.861,none,"Base model (Table 2 Model 1 covariates) + Congested travel time to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m6,3,Congested travel time to 3 TAZ employment centers,9,Congested time to West 86th Street,employment_access,D_location,level,minutes,-0.0063,0.0007,-9.4799,0.0,,,,high,congested travel time to West 86th Street employment centre,log sales price,log,OLS,8772.0,0.861,none,"Base model (Table 2 Model 1 covariates) + Congested travel time to 3 TAZ employment centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m7,3,Mean distance to 7 ZIP centers,9,Mean distance to 7 ZIP centers,employment_access,D_location,level,km,-0.0096,0.0008,-11.6072,0.0,,,,high,mean airline distance to 7 ZIP-code employment centres,log sales price,log,OLS,8772.0,0.8601,none,"Base model (Table 2 Model 1 covariates) + Mean distance to 7 ZIP centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m8,3,Mean distance to 5 TAZ centers,9,Mean distance to 5 TAZ centers,employment_access,D_location,level,km,-0.0089,0.0008,-11.8679,0.0,,,,high,mean airline distance to 5 TAZ employment centres,log sales price,log,OLS,8772.0,0.8601,none,"Base model (Table 2 Model 1 covariates) + Mean distance to 5 TAZ centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m9,3,Mean free-flow time to 5 TAZ centers,9,Mean free-flow time to 5 TAZ centers,employment_access,D_location,level,minutes,-0.0129,0.001,-13.4577,0.0,,,,high,,log sales price,log,OLS,8772.0,0.8608,none,"Base model (Table 2 Model 1 covariates) + Mean free-flow time to 5 TAZ centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T3-m10,3,Mean congested time to 5 TAZ centers,9,Mean congested time to 5 TAZ centers,employment_access,D_location,level,minutes,-0.0138,0.001,-14.0707,0.0,,,,high,,log sales price,log,OLS,8772.0,0.861,none,"Base model (Table 2 Model 1 covariates) + Mean congested time to 5 TAZ centers; only location coefficients reported with SE, t and p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m1,4,Distance accessibility to ZIP employment,12,Distance accessibility to ZIP employment (coefficient = 1.1),employment_access,D_location,level,"index (gravity accessibility to employment, distance decay exponent 1.1)",0.0059,0.0006,10.1156,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8595,none,"Base model covariates + Distance accessibility to ZIP employment; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m2,4,Distance accessibility to TAZ employment,12,Distance accessibility to TAZ employment (coefficient = 1.6),employment_access,D_location,level,"index (gravity accessibility to employment, distance decay exponent 1.6)",0.0205,0.0014,14.5388,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8612,none,"Base model covariates + Distance accessibility to TAZ employment; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m3,4,Free-flow travel time accessibility to TAZ employment,12,Free-flow travel time accessibility to TAZ employment (coefficient = 2.2),employment_access,D_location,level,"index (gravity accessibility, travel-time decay exponent 2.2)",0.0273,0.0019,14.5371,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8612,none,"Base model covariates + Free-flow travel time accessibility to TAZ employment; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m4,4,Congested travel time accessibility to TAZ employment,12,Congested travel time accessibility to TAZ employment (coefficient = 2.1),employment_access,D_location,level,"index (gravity accessibility, travel-time decay exponent 2.1)",0.0232,0.0017,13.8811,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.861,none,"Base model covariates + Congested travel time accessibility to TAZ employment; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m5,4,Distance accessibility to change in ZIP employment,12,Distance accessibility to change in ZIP employment (coefficient = 0.081),employment_access,D_location,level,"index (accessibility to 1995-2000 employment change, decay 0.081)",0.0081,0.0006,13.5473,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8608,none,"Base model covariates + Distance accessibility to change in ZIP employment; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m6,4,Accessibility to employment and change in employment,12,Distance accessibility to ZIP employment (coefficient = 1.3),employment_access,D_location,level,"index (gravity accessibility to employment, decay 1.3)",0.0048,0.0007,6.9897,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8616,none,"Base model covariates + Accessibility to employment and change in employment; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m6,4,Accessibility to employment and change in employment,12,Distance accessibility to change in ZIP employment (coefficient = 0.067),employment_access,D_location,level,"index (accessibility to 1995-2000 employment change, decay 0.067)",0.0069,0.0006,11.4801,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8616,none,"Base model covariates + Accessibility to employment and change in employment; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m7,4,"Accessibility, change in employment, mean distance to ZIP centers",12,Distance accessibility to ZIP employment (coefficient = 1.3),employment_access,D_location,level,"index (gravity accessibility to employment, decay 1.3)",0.0048,0.0007,6.9896,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8616,none,"Base model covariates + Accessibility, change in employment, mean distance to ZIP centers; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m7,4,"Accessibility, change in employment, mean distance to ZIP centers",12,Distance accessibility to change in ZIP employment (coefficient = 0.067),employment_access,D_location,level,"index (accessibility to 1995-2000 employment change, decay 0.067)",0.0075,0.0012,6.0354,0.0,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8616,none,"Base model covariates + Accessibility, change in employment, mean distance to ZIP centers; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23,ddfcdefd81b294b9edfe4b97744d2d4725aeed23:T4-m7,4,"Accessibility, change in employment, mean distance to ZIP centers",12,Mean distance to 7 ZIP employment centers,employment_access,D_location,level,km,0.0008,0.0017,0.4736,0.6358,,,,high,accessibility index = sum of employment weighted by negative exponential of distance/time; scale not standardised,log sales price,log,OLS,8772.0,0.8616,none,"Base model covariates + Accessibility, change in employment, mean distance to ZIP centers; accessibility measures use best-fit negative-exponential decay coefficients (nonlinear search); SE, t, p in columns"
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,PT (Villa),dwelling_type,A_structural,dummy,binary,0.381,0.038,9.903,0.0,,,,high,"Villa vs other property types (condominium, detached); z-value column","log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,BC (Building Class-Economic),condition,A_structural,dummy,binary,-0.114,0.035,-3.281,0.001,,,,high,Building category dummy (economic/medium/noble; Italian cadastral building class),"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,BC (Building Class-Medium),condition,A_structural,dummy,binary,-0.065,0.031,-2.079,0.037,,,,high,Building category dummy,"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,BC (Building Class-Noble),condition,A_structural,dummy,binary,0.135,0.047,2.862,0.004,,,,high,Building category dummy,"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,FA (Floor area),living_area,A_structural,level,m2,0.004,0.001,22.816,0.0,,,,high,"Floor area, m2 (mean 139)","log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,TR (Terrace),terrace_balcony,C_exterior,binary,binary,0.105,0.025,4.126,0.0,,,,high,,"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,US (Unit Status-Partially renovated),renovation,A_structural,dummy,binary,0.271,0.038,7.105,0.0,,,,high,"Unit status dummy, ref. not renovated","log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,US (Unit Status-Renovated),renovation,A_structural,dummy,binary,0.466,0.042,10.962,0.0,,,,high,"Unit status dummy, ref. not renovated","log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,EPC (Energy Performance Certification -B and over),energy_efficiency,A_structural,dummy,binary,0.162,0.066,2.45,0.014,,,,high,EPC class B or better dummy,"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,HT (Heating Type-independent),heating,A_structural,dummy,binary,0.106,0.021,5.013,0.0,,,,high,Independent (autonomous) heating vs central,"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,E (Elevator),accessibility,B_interior,binary,binary,0.101,0.033,3.054,0.002,,,,high,,"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,BN (Bathrooms number),bathrooms,A_structural,level,count,0.958,0.017,5.728,0.0,,,,medium,"Printed coefficient 0.958 with SE 0.017 is inconsistent with printed z=5.728 (implies beta ~0.098); probable misprint, recorded as printed","log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,HD (Distance from the nearest highway exit),highway_distance,D_location,level,m,-1.42e-05,5.628e-05,-2.517,0.011,,,,medium,Distance unit not stated; sample mean 6151 implies metres. Printed SE 5.628e-05 inconsistent with z=-2.517 (implies SE 5.6e-06); recorded as printed,"log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T4-DS,4,Coefficient,15,RE (Retail services),commercial_distance,D_location,other,index,0.248,0.083,2.98,0.002,,,,high,"Retail services indicator (numeric, mean 0.21; presence/density of retail services, not a distance)","log total listing price (logTLP), EUR",log,spatial_error,1154.0,0.664,se,DS: Ivrea + 31 municipalities of the Eporediese area
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,BC (Building Class-Noble),condition,A_structural,dummy,binary,0.35,0.078,4.454,0.0,,,,high,Building category dummy,"log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,FA,living_area,A_structural,level,m2,0.005,0.001,12.813,0.0,,,,high,"Floor area, m2 (mean 112)","log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,US1 (Unit Status-Partially renovated),renovation,A_structural,dummy,binary,0.237,0.073,3.248,0.001,,,,high,ref. not renovated,"log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,US2 (Unit Status-Renovated),renovation,A_structural,dummy,binary,0.398,0.085,4.68,0.0,,,,high,ref. not renovated,"log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,HT (Heating Type-independent),heating,A_structural,dummy,binary,0.135,0.046,2.933,0.003,,,,high,,"log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,PG (Private Garden),garden,C_exterior,binary,binary,0.152,0.065,2.343,0.019,,,,high,,"log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,OL (Building Olivettian Connotation),other,other,binary,binary,-0.174,0.066,-2.658,0.008,,,,high,Modern-heritage (Olivetti company) architectural connotation dummy,"log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,UD (Distance from the UNESCO site),other,other,level,m,-9.921e-05,3.49e-05,-2.845,0.004,,,,medium,"Distance to centre of UNESCO site 'Ivrea, industrial city of the 20th century'; unit not stated, mean 1520 implies metres; SE printed as '-3.49e-05' (sign misprint), consistent with z","log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb,ddfdca9d11843f81e9f91bacfe723acfa0d83bbb:T5-SS,5,Coefficient,16,EPC (Energy Performance Certification-B and over),energy_efficiency,A_structural,dummy,binary,0.311,0.14,2.219,0.027,,,,high,,"log total listing price (logTLP), EUR",log,spatial_error,248.0,0.62,se,SS: city of Ivrea only
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Launch × Near,other,other,other,binary interaction (post-launch x within 100 m of bus route),0.0129,0.0054,,,**,,,high,DiD interaction: net effect of new bus service within 100 m,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Near,transit_distance,D_location,dummy,binary (within 100 m of bus route vs 100-200 m),-0.0097,0.0038,,,**,,,high,pre-launch proximity to bus route,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Launch × Distance,other,other,other,interaction (post-launch x distance to bus route in 100 m),-0.0134,0.005,,,***,,,high,DiD interaction,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Distance,transit_distance,D_location,level,100 m (distance to bus route),0.0104,0.0037,,,***,,,high,pre-launch distance to bus route,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Prime lending rate,other,other,level,"share (prime lending rate, %)",-2.8766,0.3558,,,***,,,high,macro market variable,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Prime lending rate,other,other,level,"share (prime lending rate, %)",-2.8815,0.3563,,,***,,,high,macro market variable,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Floor,floor_level,A_structural,level,count,0.007,0.0003,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Floor,floor_level,A_structural,level,count,0.007,0.0003,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Area,living_area,A_structural,level,m2,0.003,0.0008,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Area,living_area,A_structural,level,m2,0.003,0.0008,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Building age,age,A_structural,level,years,-0.0009,0.0006,,,,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Building age,age,A_structural,level,years,-0.0009,0.0006,,,,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Distance to train station,transit_distance,D_location,level,100 m,-0.0035,0.0015,,,**,,,high,distance to MRT train station,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Distance to train station,transit_distance,D_location,level,100 m,-0.0036,0.0015,,,**,,,high,distance to MRT train station,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Distance to bus stop,transit_distance,D_location,level,100 m,-0.0042,0.0031,,,,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Distance to bus stop,transit_distance,D_location,level,100 m,-0.0046,0.0032,,,,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Distance to expressway,highway_distance,D_location,level,100 m,0.0025,0.0008,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Distance to expressway,highway_distance,D_location,level,100 m,0.0024,0.0008,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Distance to major road,highway_distance,D_location,level,100 m,-0.0014,0.0016,,,,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Distance to major road,highway_distance,D_location,level,100 m,-0.001,0.0017,,,,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c1,5,1,20,Distance to shopping center,commercial_distance,D_location,level,100 m,0.0037,0.0009,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,binary closeness indicator (Near = within 100 m of bus route; control 100-200 m); block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T5-c2,5,2,20,Distance to shopping center,commercial_distance,D_location,level,100 m,0.0037,0.0009,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,1450.0,0.941,se,continuous distance to bus route; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c1,6,1,21,Noise sentiment in previous 12 months,noise,E_environment,level,index (sentiment score 0-1),-0.03,0.0149,,,**,,,high,"NLP sentiment score (0-1, higher = more negative) of noise complaints in the building over the previous 12 months; AI-derived noise measure","log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,transactions matched with 12-month lagged noise sentiment; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c2,6,2,21,Noise sentiment in previous 12 months,noise,E_environment,level,index (sentiment score 0-1),-0.0262,0.0132,,,**,,,high,"NLP sentiment score (0-1, higher = more negative) of noise complaints in the building over the previous 12 months; AI-derived noise measure; main effect for medium floors (5-8) given interaction","log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,as column 1 plus interaction of noise sentiment with low/high floor dummy
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c2,6,2,21,Noise sentiment in previous 12 months × Low/high floors,noise,E_environment,other,interaction (sentiment index x low/high floor dummy),-0.0053,0.0084,,,,,,high,interaction term,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,as column 1 plus interaction of noise sentiment with low/high floor dummy
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c1,6,1,21,Distance to nearest bus stop connecting CBD,transit_distance,D_location,level,100 m,-0.0027,0.0016,,,*,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,transactions matched with 12-month lagged noise sentiment; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c2,6,2,21,Distance to nearest bus stop connecting CBD,transit_distance,D_location,level,100 m,-0.0027,0.0016,,,*,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,as column 1 plus interaction of noise sentiment with low/high floor dummy
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c1,6,1,21,Prime lending rate,other,other,level,"share (prime lending rate, %)",-3.5344,0.4423,,,***,,,high,macro market variable,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,transactions matched with 12-month lagged noise sentiment; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c2,6,2,21,Prime lending rate,other,other,level,"share (prime lending rate, %)",-3.5089,0.4638,,,***,,,high,macro market variable,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,as column 1 plus interaction of noise sentiment with low/high floor dummy
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c1,6,1,21,Floor,floor_level,A_structural,level,count,0.0064,0.0005,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,transactions matched with 12-month lagged noise sentiment; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c2,6,2,21,Floor,floor_level,A_structural,level,count,0.0065,0.0006,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,as column 1 plus interaction of noise sentiment with low/high floor dummy
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c1,6,1,21,Area,living_area,A_structural,level,m2,0.0075,0.0002,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,transactions matched with 12-month lagged noise sentiment; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c2,6,2,21,Area,living_area,A_structural,level,m2,0.0075,0.0002,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,as column 1 plus interaction of noise sentiment with low/high floor dummy
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c1,6,1,21,Building age,age,A_structural,level,years,-0.0035,0.0009,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,transactions matched with 12-month lagged noise sentiment; block and time FE
de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6,de48aa9a311d709ef0a33453d7042001c2e721a6:T6-c2,6,2,21,Building age,age,A_structural,level,years,-0.0035,0.0009,,,***,,,high,,"log(price), HDB resale price (SGD)",log,OLS,893.0,0.919,se,as column 1 plus interaction of noise sentiment with low/high floor dummy
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,NO2,air_pollution,E_environment,level,ug/m3,-0.0079,0.0008,,,***,,,high,nitrogen dioxide concentration near the property (mean 24.36),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,NO2,air_pollution,E_environment,level,ug/m3,-0.0014,0.0008,,,*,,,high,nitrogen dioxide concentration near the property (mean 24.36),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,NO2,air_pollution,E_environment,level,ug/m3,-0.0243,0.0017,,,***,,,high,nitrogen dioxide concentration near the property (mean 24.36),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,Ruido,noise,E_environment,level,db,-0.0013,0.0006,,,**,,,high,day/night noise level in decibels,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,Ruido,noise,E_environment,level,db,0.0,0.0006,,,,,,high,day/night noise level in decibels,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,Ruido,noise,E_environment,level,db,-0.0094,0.0015,,,***,,,high,day/night noise level in decibels,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,antigüedad,age,A_structural,log,years,-0.3089,0.0021,,,***,,,high,Table 1 defines as logarithm of building age,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,antigüedad,age,A_structural,log,years,-0.2807,0.0024,,,***,,,high,Table 1 defines as logarithm of building age,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,antigüedad,age,A_structural,log,years,-0.37,0.0038,,,***,,,high,Table 1 defines as logarithm of building age,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,accidentes,other,other,level,index -3 to 3 (traffic accident frequency),-0.032,0.0013,,,***,,,high,"frequency of car accidents in the zone, scale -3 (least) to 3 (most)","ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,accidentes,other,other,level,index -3 to 3 (traffic accident frequency),-0.014,0.0012,,,***,,,high,"frequency of car accidents in the zone, scale -3 (least) to 3 (most)","ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,accidentes,other,other,level,index -3 to 3 (traffic accident frequency),-0.0977,0.0039,,,***,,,high,"frequency of car accidents in the zone, scale -3 (least) to 3 (most)","ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,robos,crime,F_neighbourhood,level,index -3 to 3 (robbery frequency),0.0014,0.0016,,,,,,high,"(personal robbery + house burglary)/2, scale -3 to 3","ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,robos,crime,F_neighbourhood,level,index -3 to 3 (robbery frequency),-0.0205,0.0015,,,***,,,high,"(personal robbery + house burglary)/2, scale -3 to 3","ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,robos,crime,F_neighbourhood,level,index -3 to 3 (robbery frequency),0.0624,0.0042,,,***,,,high,"(personal robbery + house burglary)/2, scale -3 to 3","ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,distancia al centro,cbd_distance,D_location,level,km,-0.0126,0.0011,,,***,,,high,distance to historic centre in thousands of metres,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,distancia al centro,cbd_distance,D_location,level,km,0.0029,0.001,,,***,,,high,distance to historic centre in thousands of metres,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,distancia al centro,cbd_distance,D_location,level,km,-0.0149,0.0027,,,***,,,high,distance to historic centre in thousands of metres,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,río,waterfront,C_exterior,binary,binary,0.0442,0.0038,,,***,,,high,= 1 if property fronts the river,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,río,waterfront,C_exterior,binary,binary,0.0184,0.0041,,,***,,,high,= 1 if property fronts the river,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,río,waterfront,C_exterior,binary,binary,0.0694,0.0068,,,***,,,high,= 1 if property fronts the river,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,edificio,dwelling_type,A_structural,binary,binary,0.0304,0.0051,,,***,,,high,= 1 if the property is a building (apartment) vs villa,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,registro municipal,neighbourhood_amenities,F_neighbourhood,level,count (municipal business registrations in the zone),0.0046,0.0001,,,***,,,high,number of municipally registered businesses in the property's zone (RMO),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,registro municipal,neighbourhood_amenities,F_neighbourhood,level,count (municipal business registrations in the zone),0.001,0.0002,,,***,,,high,number of municipally registered businesses in the property's zone (RMO),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,registro municipal,neighbourhood_amenities,F_neighbourhood,level,count (municipal business registrations in the zone),0.0055,0.0001,,,***,,,high,number of municipally registered businesses in the property's zone (RMO),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,Zona industrial,hazard_site,E_environment,binary,binary,-0.1084,0.0142,,,***,,,high,= 1 if located in an industrial zone,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,13,Zona industrial,hazard_site,E_environment,binary,binary,-0.1337,0.0138,,,***,,,high,= 1 if located in an industrial zone,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,13,Servicios 250,neighbourhood_amenities,F_neighbourhood,level,count within 250 m,-0.0107,0.001,,,***,,,high,number of services within 250 m; blank for villas,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,13,Servicios 250,neighbourhood_amenities,F_neighbourhood,level,count within 250 m,-0.0135,0.0022,,,***,,,high,number of services within 250 m; blank for villas,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Terreno,lot_size,A_structural,log,m2,-0.0234,0.0022,,,***,,,high,ln land area; full sample only,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Frentes,other,other,log,m (property frontage),0.0121,0.002,,,***,,,high,ln frontage of the property,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Número-pisos,storeys,A_structural,log,count,-0.0132,0.0037,,,***,,,high,ln number of floors,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Número-pisos,storeys,A_structural,log,count,0.102,0.0041,,,***,,,high,ln number of floors,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Número-pisos,storeys,A_structural,log,count,-0.1596,0.0071,,,***,,,high,ln number of floors,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Baños,bathrooms,A_structural,log,count,0.0074,0.0006,,,***,,,high,ln number of bathrooms,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Baños,bathrooms,A_structural,log,count,0.0196,0.0008,,,***,,,high,ln number of bathrooms,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Baños,bathrooms,A_structural,log,count,0.0118,0.001,,,***,,,high,ln number of bathrooms,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Tipo-piso: 1. Mezanine,floor_level,A_structural,dummy,binary,0.0803,0.0198,,,***,,,high,floor type mezzanine vs normal (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Tipo-piso: 1. Mezanine,floor_level,A_structural,dummy,binary,0.0256,0.0183,,,,,,high,floor type mezzanine vs normal (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Tipo-piso: 1. Mezanine,floor_level,A_structural,dummy,binary,0.1643,0.0446,,,***,,,high,floor type mezzanine vs normal (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Tipo-piso: 2. Subsuelo,floor_level,A_structural,dummy,binary,-0.0353,0.0076,,,***,,,high,floor type basement vs normal,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Tipo-piso: 2. Subsuelo,floor_level,A_structural,dummy,binary,-0.016,0.0075,,,**,,,high,floor type basement vs normal,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Tipo-piso: 2. Subsuelo,floor_level,A_structural,dummy,binary,-0.0994,0.0151,,,***,,,high,floor type basement vs normal,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Tipo-piso: 3. Ático,floor_level,A_structural,dummy,binary,-0.1202,0.0488,,,**,,,high,floor type attic vs normal,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Tipo-piso: 3. Ático,floor_level,A_structural,dummy,binary,-0.0956,0.0597,,,,,,high,floor type attic vs normal,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Tipo-piso: 3. Ático,floor_level,A_structural,dummy,binary,-0.1507,0.0805,,,*,,,high,floor type attic vs normal,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Estado construcción: 1. Regular,condition,A_structural,dummy,binary,-0.1481,0.0096,,,***,,,high,construction state regular vs good (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Estado construcción: 1. Regular,condition,A_structural,dummy,binary,-0.1368,0.009,,,***,,,high,construction state regular vs good (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Estado construcción: 1. Regular,condition,A_structural,dummy,binary,-0.3479,0.0535,,,***,,,high,construction state regular vs good (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Estado construcción: 2. Malo,condition,A_structural,dummy,binary,-0.1847,0.0301,,,***,,,high,construction state bad vs good,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Estado construcción: 2. Malo,condition,A_structural,dummy,binary,-0.1208,0.0278,,,***,,,high,construction state bad vs good,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Estado construcción: 2. Malo,condition,A_structural,dummy,binary,-0.2844,0.1636,,,*,,,high,construction state bad vs good,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Columnas: 1. Madera,roof_materials,A_structural,dummy,binary,0.2212,0.0244,,,***,,,high,wooden columns vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Columnas: 1. Madera,roof_materials,A_structural,dummy,binary,0.1627,0.0236,,,***,,,high,wooden columns vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Columnas: 1. Madera,roof_materials,A_structural,dummy,binary,0.7823,0.3472,,,**,,,high,wooden columns vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,"Columnas: 2. Hierro, hormigón armado",roof_materials,A_structural,dummy,binary,0.7626,0.0053,,,***,,,high,iron/reinforced-concrete columns vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,"Columnas: 2. Hierro, hormigón armado",roof_materials,A_structural,dummy,binary,0.7326,0.0053,,,***,,,high,iron/reinforced-concrete columns vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,"Columnas: 2. Hierro, hormigón armado",roof_materials,A_structural,dummy,binary,0.8373,0.022,,,***,,,high,iron/reinforced-concrete columns vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Vigas (Beams): 1. Madera,roof_materials,A_structural,dummy,binary,-0.135,0.0631,,,**,,,high,wooden beams vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Vigas (Beams): 1. Madera,roof_materials,A_structural,dummy,binary,-0.1612,0.0583,,,***,,,high,wooden beams vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Vigas (Beams): 1. Madera,roof_materials,A_structural,dummy,binary,0.2148,0.1883,,,,,,high,wooden beams vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,"Vigas (Beams): 2. Hierro, hormigón armado",roof_materials,A_structural,dummy,binary,0.1275,0.0626,,,**,,,high,iron/reinforced-concrete beams vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,"Vigas (Beams): 2. Hierro, hormigón armado",roof_materials,A_structural,dummy,binary,0.0015,0.0577,,,,,,high,iron/reinforced-concrete beams vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,"Vigas (Beams): 2. Hierro, hormigón armado",roof_materials,A_structural,dummy,binary,0.2526,0.119,,,**,,,high,iron/reinforced-concrete beams vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,Mezanines: 1. Madera,roof_materials,A_structural,dummy,binary,0.2027,0.0205,,,***,,,high,wooden mezzanine vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,Mezanines: 1. Madera,roof_materials,A_structural,dummy,binary,0.1018,0.0167,,,***,,,high,wooden mezzanine vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,Mezanines: 1. Madera,roof_materials,A_structural,dummy,binary,0.3019,0.0894,,,***,,,high,wooden mezzanine vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,19,"Mezanines: 2. Hormigón armado, simple",roof_materials,A_structural,dummy,binary,0.5772,0.0214,,,***,,,high,concrete mezzanine vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,19,"Mezanines: 2. Hormigón armado, simple",roof_materials,A_structural,dummy,binary,0.2919,0.0175,,,***,,,high,concrete mezzanine vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,19,"Mezanines: 2. Hormigón armado, simple",roof_materials,A_structural,dummy,binary,0.7122,0.0889,,,***,,,high,concrete mezzanine vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Paredes: 1. Madera, bahareque",roof_materials,A_structural,dummy,binary,-0.2604,0.0521,,,***,,,high,walls wood/bahareque vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Paredes: 1. Madera, bahareque",roof_materials,A_structural,dummy,binary,-0.159,0.0511,,,***,,,high,walls wood/bahareque vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Paredes: 1. Madera, bahareque",roof_materials,A_structural,dummy,binary,0.4258,0.1666,,,**,,,high,walls wood/bahareque vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Paredes: 2. Adobe, Tierra apisonada",roof_materials,A_structural,dummy,binary,-0.1672,0.0447,,,***,,,high,walls adobe/rammed earth vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Paredes: 2. Adobe, Tierra apisonada",roof_materials,A_structural,dummy,binary,-0.1346,0.0442,,,***,,,high,walls adobe/rammed earth vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Paredes: 2. Adobe, Tierra apisonada",roof_materials,A_structural,dummy,binary,-1.007,0.231,,,***,,,high,walls adobe/rammed earth vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Paredes: 3. Hormigón armado, bloque, ladrillo",roof_materials,A_structural,dummy,binary,0.0834,0.0363,,,**,,,high,walls concrete/block/brick vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Paredes: 3. Hormigón armado, bloque, ladrillo",roof_materials,A_structural,dummy,binary,0.2119,0.0355,,,***,,,high,walls concrete/block/brick vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Paredes: 3. Hormigón armado, bloque, ladrillo",roof_materials,A_structural,dummy,binary,-0.1391,0.0424,,,***,,,high,walls concrete/block/brick vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Cubierta: 1. Teja,roof_materials,A_structural,dummy,binary,0.0148,0.006,,,**,,,high,roof cover tile vs none/straw (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Cubierta: 1. Teja,roof_materials,A_structural,dummy,binary,0.0856,0.0075,,,***,,,high,roof cover tile vs none/straw (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Cubierta: 1. Teja,roof_materials,A_structural,dummy,binary,0.1007,0.0117,,,***,,,high,roof cover tile vs none/straw (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Cubierta: 2. Zinc, madera, ladrillo",roof_materials,A_structural,dummy,binary,-0.0763,0.0189,,,***,,,high,roof cover zinc/wood/brick vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Cubierta: 2. Zinc, madera, ladrillo",roof_materials,A_structural,dummy,binary,0.0528,0.0183,,,***,,,high,roof cover zinc/wood/brick vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Cubierta: 2. Zinc, madera, ladrillo",roof_materials,A_structural,dummy,binary,-0.1581,0.1007,,,,,,high,roof cover zinc/wood/brick vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Cubierta: 3. Hormigón armado, asbesto",roof_materials,A_structural,dummy,binary,0.1344,0.0031,,,***,,,high,roof cover reinforced concrete/asbestos vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Cubierta: 3. Hormigón armado, asbesto",roof_materials,A_structural,dummy,binary,0.0758,0.0029,,,***,,,high,roof cover reinforced concrete/asbestos vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Cubierta: 3. Hormigón armado, asbesto",roof_materials,A_structural,dummy,binary,0.3149,0.0096,,,***,,,high,roof cover reinforced concrete/asbestos vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Piso: 1. Ladrillo, madera, piedra",flooring,B_interior,dummy,binary,-0.0564,0.0132,,,***,,,high,flooring brick/wood/stone vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Piso: 1. Ladrillo, madera, piedra",flooring,B_interior,dummy,binary,0.0703,0.0122,,,***,,,high,flooring brick/wood/stone vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Piso: 1. Ladrillo, madera, piedra",flooring,B_interior,dummy,binary,-0.5387,0.0388,,,***,,,high,flooring brick/wood/stone vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Piso: 2. Cerámica, parquet, vinilo, moqueta, baldosa, mármol",flooring,B_interior,dummy,binary,0.0013,0.0132,,,,,,high,flooring ceramic/parquet/vinyl/carpet/tile/marble vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Piso: 2. Cerámica, parquet, vinilo, moqueta, baldosa, mármol",flooring,B_interior,dummy,binary,0.1249,0.0122,,,***,,,high,flooring ceramic/parquet/vinyl/carpet/tile/marble vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Piso: 2. Cerámica, parquet, vinilo, moqueta, baldosa, mármol",flooring,B_interior,dummy,binary,-0.4724,0.0373,,,***,,,high,flooring ceramic/parquet/vinyl/carpet/tile/marble vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Puerta: 1. Madera,roof_materials,A_structural,dummy,binary,0.1995,0.019,,,***,,,high,wooden doors vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Puerta: 1. Madera,roof_materials,A_structural,dummy,binary,0.3527,0.0255,,,***,,,high,wooden doors vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Puerta: 1. Madera,roof_materials,A_structural,dummy,binary,0.5784,0.0351,,,***,,,high,wooden doors vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Puerta: 2. Hierro, aluminio",roof_materials,A_structural,dummy,binary,0.163,0.0192,,,***,,,high,iron/aluminium doors vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Puerta: 2. Hierro, aluminio",roof_materials,A_structural,dummy,binary,0.3292,0.0252,,,***,,,high,iron/aluminium doors vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Puerta: 2. Hierro, aluminio",roof_materials,A_structural,dummy,binary,0.5806,0.0485,,,***,,,high,iron/aluminium doors vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Ventana: 1. Madera,roof_materials,A_structural,dummy,binary,-0.019,0.0192,,,,,,high,wooden windows vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Ventana: 1. Madera,roof_materials,A_structural,dummy,binary,0.1068,0.0252,,,***,,,high,wooden windows vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Ventana: 1. Madera,roof_materials,A_structural,dummy,binary,-0.2119,0.0572,,,***,,,high,wooden windows vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Ventana: 2. Hierro, aluminio",roof_materials,A_structural,dummy,binary,-0.0057,0.016,,,,,,high,iron/aluminium windows vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Ventana: 2. Hierro, aluminio",roof_materials,A_structural,dummy,binary,0.1266,0.023,,,***,,,high,iron/aluminium windows vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Ventana: 2. Hierro, aluminio",roof_materials,A_structural,dummy,binary,-0.0052,0.027,,,,,,high,iron/aluminium windows vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Enlucido: 1. Barro,roof_materials,A_structural,dummy,binary,0.0872,0.0259,,,***,,,high,mud plaster vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Enlucido: 1. Barro,roof_materials,A_structural,dummy,binary,0.1161,0.0244,,,***,,,high,mud plaster vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Enlucido: 1. Barro,roof_materials,A_structural,dummy,binary,1.0755,0.193,,,***,,,high,mud plaster vs none (reference),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Enlucido: 2. Arena, cal, cemento, granito",roof_materials,A_structural,dummy,binary,-0.0011,0.0102,,,,,,high,sand/lime/cement/granite plaster vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Enlucido: 2. Arena, cal, cemento, granito",roof_materials,A_structural,dummy,binary,0.0747,0.0097,,,***,,,high,sand/lime/cement/granite plaster vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Enlucido: 2. Arena, cal, cemento, granito",roof_materials,A_structural,dummy,binary,-0.0132,0.0452,,,,,,high,sand/lime/cement/granite plaster vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Techo: 1. barro, latón, cartón",roof_materials,A_structural,dummy,binary,0.4513,0.2123,,,**,,,high,ceiling mud/tin/cardboard vs none (reference); blank for edificios,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Techo: 1. barro, latón, cartón",roof_materials,A_structural,dummy,binary,0.4456,0.1971,,,**,,,high,ceiling mud/tin/cardboard vs none (reference); blank for edificios,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Techo: 2. Fundición, madera, fibra mineral",roof_materials,A_structural,dummy,binary,0.1235,0.0102,,,***,,,high,ceiling cast/wood/mineral fibre vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Techo: 2. Fundición, madera, fibra mineral",roof_materials,A_structural,dummy,binary,0.0894,0.01,,,***,,,high,ceiling cast/wood/mineral fibre vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Techo: 2. Fundición, madera, fibra mineral",roof_materials,A_structural,dummy,binary,0.1116,0.0469,,,**,,,high,ceiling cast/wood/mineral fibre vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,"Techo: 3. Arena, cal, cemento",roof_materials,A_structural,dummy,binary,0.2264,0.0128,,,***,,,high,ceiling sand/lime/cement vs none,"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,"Techo: 3. Arena, cal, cemento",roof_materials,A_structural,dummy,binary,0.1841,0.015,,,***,,,high,ceiling sand/lime/cement vs none,"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,"Techo: 3. Arena, cal, cemento",roof_materials,A_structural,dummy,binary,0.3722,0.0454,,,***,,,high,ceiling sand/lime/cement vs none,"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Tipo de calzada: 2. Adoquín de piedra,other,other,dummy,binary,-0.1331,0.0122,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Tipo de calzada: 2. Adoquín de piedra,other,other,dummy,binary,-0.1442,0.0118,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Tipo de calzada: 2. Adoquín de piedra,other,other,dummy,binary,0.3126,0.0349,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Tipo de calzada: 3. Hormigón asfáltico,other,other,dummy,binary,-0.0643,0.0101,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Tipo de calzada: 3. Hormigón asfáltico,other,other,dummy,binary,-0.0674,0.0094,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Tipo de calzada: 3. Hormigón asfáltico,other,other,dummy,binary,0.1602,0.0304,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Tipo de calzada: 4. Hormigón hidráulico,other,other,dummy,binary,-0.033,0.0101,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Tipo de calzada: 4. Hormigón hidráulico,other,other,dummy,binary,-0.0258,0.0093,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Tipo de calzada: 4. Hormigón hidráulico,other,other,dummy,binary,0.182,0.0303,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Tipo de calzada: 5. Lastre,other,other,dummy,binary,-0.0434,0.0103,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Tipo de calzada: 5. Lastre,other,other,dummy,binary,-0.0109,0.0096,,,,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Tipo de calzada: 5. Lastre,other,other,dummy,binary,0.2173,0.0312,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Tipo de calzada: 6. Piedra,other,other,dummy,binary,-0.031,0.0143,,,**,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Tipo de calzada: 6. Piedra,other,other,dummy,binary,-0.0582,0.0132,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Tipo de calzada: 6. Piedra,other,other,dummy,binary,0.1529,0.1052,,,,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c1,3,Muestra total,20,Tipo de calzada: 7. Tierra,other,other,dummy,binary,-0.0664,0.0107,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,101598.0,0.7385,se,Full sample; robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c2,3,Villas,20,Tipo de calzada: 7. Tierra,other,other,dummy,binary,-0.053,0.0098,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,72198.0,0.758,se,Villas (detached houses); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82,dfd836c56fd33dc021acfdf9971e3bbd78377b82:T3-c3,3,Edificios,20,Tipo de calzada: 7. Tierra,other,other,dummy,binary,0.2046,0.0326,,,***,,,high,street surface type vs concrete pavement (reference 1),"ln(cadastral value per m2 built, USD)",log,OLS,28993.0,0.5837,se,Edificios (buildings/apartments); robust SE in parentheses; Table A1 (pp.19-20) continues the same model
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,CERTIFED,energy_efficiency,A_structural,dummy,binary,0.044,,,,**,,,high,"BEAM Plus green building certification (Gold/Silver/Bronze) vs non-registered building; printed as CERTIFED (sic); no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,CERTIFED,energy_efficiency,A_structural,dummy,binary,0.062,,,,**,,,high,"BEAM Plus green building certification (Gold/Silver/Bronze) vs non-registered building; printed as CERTIFED (sic); no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,UNCL,energy_efficiency,A_structural,dummy,binary,-0.059,,,,**,,,high,"building obtained 'unclassified' rating under BEAM Plus vs non-registered; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,AREA,living_area,A_structural,level,m2,-0.005,,,,**,,,medium,"saleable area of the unit, defined in Table 6 in square metres (level); the text interprets the coefficient as a 1% change in area, so functional form is ambiguous; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,AREA,living_area,A_structural,level,m2,-0.005,,,,**,,,medium,"saleable area of the unit, defined in Table 6 in square metres (level); the text interprets the coefficient as a 1% change in area, so functional form is ambiguous; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,5 years or less,age,A_structural,dummy,binary,-0.185,,,,**,,,high,"building-age category dummy (0-5 years) vs pre-sale (uncompleted) flats; not age in years; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,5 years or less,age,A_structural,dummy,binary,-0.157,,,,**,,,high,"building-age category dummy (0-5 years) vs pre-sale (uncompleted) flats; not age in years; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,6 to 10 years,age,A_structural,dummy,binary,-0.238,,,,**,,,high,"building-age category dummy (6-10 years) vs pre-sale flats; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,6 to 10 years,age,A_structural,dummy,binary,-0.203,,,,**,,,high,"building-age category dummy (6-10 years) vs pre-sale flats; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,More than 10 years,age,A_structural,dummy,binary,-0.324,,,,**,,,high,"building-age category dummy (>10 years) vs pre-sale flats; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,More than 10 years,age,A_structural,dummy,binary,-0.295,,,,**,,,high,"building-age category dummy (>10 years) vs pre-sale flats; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,11th to 20th floor,floor_level,A_structural,dummy,binary,0.03,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,11th to 20th floor,floor_level,A_structural,dummy,binary,0.031,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,21st to 30th floor,floor_level,A_structural,dummy,binary,0.09,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,21st to 30th floor,floor_level,A_structural,dummy,binary,0.091,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,31st to 40th floor,floor_level,A_structural,dummy,binary,0.154,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,31st to 40th floor,floor_level,A_structural,dummy,binary,0.153,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,41st floor or above,floor_level,A_structural,dummy,binary,0.199,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,41st floor or above,floor_level,A_structural,dummy,binary,0.188,,,,**,,,high,"floor-level category vs 10th floor or below; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,MTR,transit_distance,D_location,dummy,binary,0.028,,,,**,,,high,"=1 if within 5 minutes walk (about 400 m) of Sham Shui Po or Cheung Sha Wan MTR station; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,MTR,transit_distance,D_location,dummy,binary,0.051,,,,**,,,high,"=1 if within 5 minutes walk (about 400 m) of Sham Shui Po or Cheung Sha Wan MTR station; no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c1,7,Model 1,13,NSSP,other,other,dummy,binary,0.242,,,,**,,,high,"=1 if located in Cheung Sha Wan, 0 if Sham Shui Po (sub-district location dummy); no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.8,none,"full sample, CERTIFIED and UNCL included; r2 = adjusted R-square; F = 216.095"
e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4,e06a4d3e776b1e6666c940f56997612ef11873e4:T7-c2,7,Model 2,13,NSSP,other,other,dummy,binary,0.25,,,,**,,,high,"=1 if located in Cheung Sha Wan, 0 if Sham Shui Po (sub-district location dummy); no SE/t printed; ** = significant at 1% level, * at 5% level",ln of price-index-adjusted transaction price per square metre (HKD),per_m2,OLS,646.0,0.796,none,"full sample, UNCL omitted (unclassified buildings treated as non-registered); r2 = adjusted R-square; F = 229.644"
e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a:T4-c1,4,Coef.,6,AREA,living_area,A_structural,level,m2,0.001,,,0.023,**,,,low,House area (m2); table row 'AREA' and text agree,"House price (PRICE), declared 'billion [VND] per square meter'",other,OLS,195.0,0.8559,p,"All 195 listings; F(8,196)=276.08"
e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a:T4-c1,4,Coef.,6,BEDROOMS (table row labelled DIENTICH),bedrooms,A_structural,level,count,0.065,,,0.0,***,,,low,Text/equation attribute 0.065 to BEDROOMS; table row label is 'DIENTICH',"House price (PRICE), declared 'billion [VND] per square meter'",other,OLS,195.0,0.8559,p,"All 195 listings; F(8,196)=276.08"
e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a:T4-c1,4,Coef.,6,BATHROOMS (table row labelled BEDROOMS),bathrooms,A_structural,level,count,0.003,,,0.64,,,,low,Text says BATHROOMS not significant; table row label is 'BEDROOMS',"House price (PRICE), declared 'billion [VND] per square meter'",other,OLS,195.0,0.8559,p,"All 195 listings; F(8,196)=276.08"
e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a:T4-c1,4,Coef.,6,CITY_CENTER (table row labelled BATHROOMS),cbd_distance,D_location,level,km,-0.02,,,0.0,***,,,low,Distance to city centre (km); text/equation attribute -0.020 to CITY_CENTER; table row label is 'BATHROOMS',"House price (PRICE), declared 'billion [VND] per square meter'",other,OLS,195.0,0.8559,p,"All 195 listings; F(8,196)=276.08"
e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a:T4-c1,4,Coef.,6,TYPE (table row labelled CENTER),other,other,binary,binary,0.148,,,0.036,**,,,low,"Street-frontage house dummy (1 = street front, 0 = alley); table row label is 'CENTER'","House price (PRICE), declared 'billion [VND] per square meter'",other,OLS,195.0,0.8559,p,"All 195 listings; F(8,196)=276.08"
e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a:T4-c1,4,Coef.,6,AMENITIES (table row labelled TYPE),neighbourhood_amenities,F_neighbourhood,binary,binary,0.087,,,0.0,***,,,low,"Dummy: local amenities nearby (parks, plazas, schools, shopping centres); table row label is 'TYPE'","House price (PRICE), declared 'billion [VND] per square meter'",other,OLS,195.0,0.8559,p,"All 195 listings; F(8,196)=276.08"
e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a,e075c6fe2099973f79200c3fb2110ef7bfef767a:T4-c1,4,Coef.,6,STRUCTURE (table row labelled AMENITIES),condition,A_structural,binary,binary,0.05,,,0.0,***,,,low,Dummy: modern structure (newly built / modern design vs outdated); table row label is 'AMENITIES',"House price (PRICE), declared 'billion [VND] per square meter'",other,OLS,195.0,0.8559,p,"All 195 listings; F(8,196)=276.08"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,LF,floor_level,A_structural,dummy,count,0.004,,,0.277,,,,high,Low floor dummy (floors 1-2 vs middle floors 3-4 reference); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,HF,floor_level,A_structural,dummy,count,-0.063,,,0.0,***,,,high,High floor dummy (floors 5-7 vs middle floors 3-4 reference); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,lnAR,living_area,A_structural,log,m2,0.776,,,0.0,***,,,high,Log building area (m2); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,lnAG,age,A_structural,log,years,-0.04,,,0.0,***,,,high,Log building age (years); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,S,sunlight,E_environment,binary,binary,0.032,,,0.003,***,,,high,South-facing orientation dummy; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,D,condition,A_structural,binary,binary,0.052,,,0.0,***,,,high,Well-decorated (fit-out) dummy; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,BN,bedrooms,A_structural,level,count,0.034,,,0.0,***,,,high,Number of bedrooms; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,LN,other,other,level,count,0.014,,,0.015,**,,,high,Number of living rooms; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,EF,school_distance,D_location,level,count,0.007,,,0.0,***,,,high,"Count score of primary/secondary/senior high schools within 1 km (0-3), not a distance; p-value printed in adjacent column","ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.018,,,0.0,***,,,high,"Living facilities: count score of shopping malls, 3A hospitals, post offices, banks within 1 km (0-4); second variable printed as LF in table; p-value printed in adjacent column","ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,TF,transit_distance,D_location,level,count,0.071,,,0.0,***,,,high,"Traffic facilities: count score of bus stops and subway stations within 1 km (0-2), not a distance; p-value printed in adjacent column","ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,LP,green_space,E_environment,level,count,0.023,,,0.0,***,,,high,Landscapes and parks within 1 km count score (0-2); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c1,2,1,6,lnD_TAM,cbd_distance,D_location,log,m,-0.159,,,0.0,***,,,high,Log straight-line distance to Tiananmen Square (m); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,17095.0,0.82,p,Without-elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,LF,floor_level,A_structural,dummy,count,-0.055,,,0.048,**,,,high,Low floor dummy (floors 1-2 vs middle floors 3-4 reference); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,HF,floor_level,A_structural,dummy,count,0.014,,,0.477,,,,high,High floor dummy (floors 5-7 vs middle floors 3-4 reference); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,lnAR,living_area,A_structural,log,m2,0.827,,,0.0,***,,,high,Log building area (m2); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,lnAG,age,A_structural,log,years,-0.034,,,0.083,*,,,high,Log building age (years); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,S,sunlight,E_environment,binary,binary,0.027,,,0.282,,,,high,South-facing orientation dummy; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,D,condition,A_structural,binary,binary,0.064,,,0.001,***,,,high,Well-decorated (fit-out) dummy; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,BN,bedrooms,A_structural,level,count,0.058,,,0.001,***,,,high,Number of bedrooms; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,LN,other,other,level,count,0.02,,,0.371,,,,high,Number of living rooms; p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,EF,school_distance,D_location,level,count,0.006,,,0.0,***,,,high,"Count score of primary/secondary/senior high schools within 1 km (0-3), not a distance; p-value printed in adjacent column","ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,LF,neighbourhood_amenities,F_neighbourhood,level,count,0.033,,,0.007,***,,,high,"Living facilities: count score of shopping malls, 3A hospitals, post offices, banks within 1 km (0-4); second variable printed as LF in table; p-value printed in adjacent column","ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,TF,transit_distance,D_location,level,count,0.055,,,0.011,**,,,high,"Traffic facilities: count score of bus stops and subway stations within 1 km (0-2), not a distance; p-value printed in adjacent column","ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,LP,green_space,E_environment,level,count,0.003,,,0.826,,,,high,Landscapes and parks within 1 km count score (0-2); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T2-c2,2,2,6,lnD_TAM,cbd_distance,D_location,log,m,-0.158,,,0.0,***,,,high,Log straight-line distance to Tiananmen Square (m); p-value printed in adjacent column,"ln housing price (total transaction price, CNY)",log,OLS,857.0,0.713,p,Installed (retrofitted) elevator sample (adj. R2); year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T3-c1,3,1,6,E,accessibility,B_interior,binary,binary,0.054,,,,***,,,high,Retrofitted (additional) elevator dummy; PSM-matched sample; only stars printed,"ln housing price (total transaction price, CNY)",log,OLS,17750.0,0.814,none,"Whole PSM-matched sample, Model 2 (no interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T3-c3,3,3,6,E,accessibility,B_interior,binary,binary,0.024,,,,,,,high,Retrofitted (additional) elevator dummy; PSM-matched sample; only stars printed,"ln housing price (total transaction price, CNY)",log,OLS,2617.0,0.794,none,"Low-floor (LF) sample, Model 2 (no interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T3-c5,3,5,6,E,accessibility,B_interior,binary,binary,0.07,,,,***,,,high,Retrofitted (additional) elevator dummy; PSM-matched sample; only stars printed,"ln housing price (total transaction price, CNY)",log,OLS,8643.0,0.818,none,"Middle-floor (MF) sample, Model 2 (no interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T3-c7,3,7,6,E,accessibility,B_interior,binary,binary,0.119,,,,***,,,high,Retrofitted (additional) elevator dummy; PSM-matched sample; only stars printed,"ln housing price (total transaction price, CNY)",log,OLS,6124.0,0.824,none,"High-floor (HF) sample, Model 2 (no interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T4-c1,4,1,7,lnAG,age,A_structural,log,years,-0.065,,,,***,,,high,Log building age; model also contains elevator x single-orientation interaction (not extracted),"ln housing price (total transaction price, CNY)",log,OLS,17750.0,0.815,none,"Whole sample, Model 4 (includes E, Single and E x Single interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T4-c3,4,3,7,lnAG,age,A_structural,log,years,-0.055,,,,***,,,high,Log building age; model also contains elevator x single-orientation interaction (not extracted),"ln housing price (total transaction price, CNY)",log,OLS,2617.0,0.794,none,"Low-floor sample, Model 4 (includes E, Single and E x Single interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T4-c5,4,5,7,lnAG,age,A_structural,log,years,-0.083,,,,***,,,high,Log building age; model also contains elevator x single-orientation interaction (not extracted),"ln housing price (total transaction price, CNY)",log,OLS,8643.0,0.82,none,"Middle-floor sample, Model 4 (includes E, Single and E x Single interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T4-c7,4,7,7,lnAG,age,A_structural,log,years,-0.083,,,,***,,,high,Log building age; model also contains elevator x single-orientation interaction (not extracted),"ln housing price (total transaction price, CNY)",log,OLS,6124.0,0.826,none,"High-floor sample, Model 4 (includes E, Single and E x Single interaction); controls + year FE + district FE; adj. R2"
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-OLS,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.052,,,,***,,,high,"Retrofitted elevator dummy, OLS; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,OLS,5996.0,,none,AH sample (affordable housing); OLS row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-OLS,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.047,,,,***,,,high,"Retrofitted elevator dummy, OLS; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,OLS,11754.0,,none,CH sample (commercial housing); OLS row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.1,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,-0.01,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.1; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.1 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.1,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,-0.099,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.1; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.1 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.1,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,-0.009,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.1; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.1 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.1,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.064,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.1; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.1 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.1,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.019,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.1; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.1 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.1,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,-0.015,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.1; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.1 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.2,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.031,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.2; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.2 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.2,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,-0.027,,,,*,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.2; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.2 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.2,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.014,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.2; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.2 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.2,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.083,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.2; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.2 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.2,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.05,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.2; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.2 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.2,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.027,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.2; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.2 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.3,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.038,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.3; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.3 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.3,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,-0.009,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.3; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.3 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.3,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.024,,,,**,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.3; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.3 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.3,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.091,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.3; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.3 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.3,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.054,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.3; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.3 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.3,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.032,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.3; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.3 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.4,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.053,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.4; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.4 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.4,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,-0.003,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.4; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.4 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.4,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.031,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.4; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.4 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.4,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.125,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.4; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.4 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.4,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.058,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.4; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.4 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.4,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.056,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.4; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.4 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.5,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.087,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.5; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.5 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.5,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,0.013,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.5; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.5 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.5,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.058,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.5; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.5 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.5,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.148,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.5; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.5 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.5,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.059,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.5; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.5 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.5,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.08,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.5; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.5 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.6,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.091,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.6; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.6 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.6,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,0.016,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.6; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.6 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.6,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.087,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.6; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.6 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.6,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.155,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.6; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.6 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.6,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.08,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.6; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.6 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.6,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.095,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.6; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.6 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.7,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.098,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.7; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.7 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.7,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,0.042,,,,,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.7; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.7 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.7,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.09,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.7; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.7 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.7,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.156,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.7; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.7 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.7,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.082,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.7; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.7 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.7,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.099,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.7; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.7 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.8,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.102,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.8; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.8 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.8,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,0.05,,,,*,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.8; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.8 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.8,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.091,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.8; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.8 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.8,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.158,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.8; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.8 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.8,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.073,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.8; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.8 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.8,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.103,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.8; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.8 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c1-Q0.9,5,1,9,E (additional elevator),accessibility,B_interior,binary,binary,0.102,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.9; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,17750.0,,none,Whole sample; Q0.9 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c2-Q0.9,5,2,9,E (additional elevator),accessibility,B_interior,binary,binary,0.055,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.9; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,2617.0,,none,LF sample; Q0.9 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c3-Q0.9,5,3,9,E (additional elevator),accessibility,B_interior,binary,binary,0.093,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.9; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,8643.0,,none,MF sample; Q0.9 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c4-Q0.9,5,4,9,E (additional elevator),accessibility,B_interior,binary,binary,0.159,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.9; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,6124.0,,none,HF sample; Q0.9 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c5-Q0.9,5,5,9,E (additional elevator),accessibility,B_interior,binary,binary,0.062,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.9; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,5996.0,,none,AH sample (affordable housing); Q0.9 row; controls + year FE + district FE
e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f,e1b44941a0d59a0ba33dc85660a7305568feae7f:T5-c6-Q0.9,5,6,9,E (additional elevator),accessibility,B_interior,binary,binary,0.108,,,,***,,,high,"Retrofitted elevator dummy, quantile regression at tau=0.9; only stars printed; PSM-matched sample","ln housing price (total transaction price, CNY)",log,quantile,11754.0,,none,CH sample (commercial housing); Q0.9 row; controls + year FE + district FE
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,BEDS,bedrooms,A_structural,level,count,-0.074,,,0.0,,,,high,"Number of bedrooms; main effect, interacted with property-type dummies; only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,FLATBED,dwelling_type,A_structural,other,count,0.07,,,0.0,,,,high,"Interaction FLAT dummy x number of bedrooms (terraced x bedrooms is the omitted base); only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,SEMIBED,dwelling_type,A_structural,other,count,0.082,,,0.0,,,,high,"Interaction SEMI-detached dummy x number of bedrooms; only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,DETABED,dwelling_type,A_structural,other,count,0.092,,,0.0,,,,high,"Interaction DETAched dummy x number of bedrooms; text: extra bedroom in detached house = -0.074+0.092 = +1.8%; only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,SP_AVE,school_quality,F_neighbourhood,level,index,-0.009,,,0.085,,,,high,"Average point score of nearest primary school (2003 DfES performance statistics); only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,ETHNM,demographics,F_neighbourhood,level,share,0.001,,,0.685,,,,high,"Percentage ethnic minority in 2001 census output area (percentage points); only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,HPROF,other,other,level,share,0.029,,,0.0,,,,high,"Percentage of higher professionals / large employers / higher managerial occupations in census output area (percentage points); socio-economic status proxy; only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,UNEM,unemployment,F_neighbourhood,level,share,-0.074,,,0.0,,,,high,"Percentage long-term unemployed in census output area (percentage points); only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,CAR_ACC,cbd_distance,D_location,level,minutes,0.021,,,0.0,,,,high,"Car travel time (minutes) to Newcastle city centre, half-congested network; only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af,e2459715fae0e20316482cb1778f7b7fac58b6af:T2-c1,2,Estimate,9,PT_ACC,employment_access,D_location,level,minutes,-0.012,,,0.003,,,,high,"Public transport travel time (minutes) to employment, gravity-based Hansen measure (Metro + bus); only estimate and p-value printed, no SE",ln asking price (GBP),log,OLS,1690.0,0.328,p,"Global regression, all properties; p-values in a separate column"
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,DIST_TO_ST,transit_distance,D_location,level,m,14.93413,,0.521,,,,,high,Distance to nearest urban rail station; semi-log column prints positive coefficient with negative t (as printed),Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,DIST_TO_ST,transit_distance,D_location,level,m,1e-05,,-0.355,,,,,medium,Distance to nearest urban rail station; semi-log column prints positive coefficient with negative t (as printed),ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,DIST_TO_ST,transit_distance,D_location,log,m,-0.00781,,-0.267,,,,,high,Distance to nearest urban rail station; semi-log column prints positive coefficient with negative t (as printed),ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,CORE_CBD,cbd_distance,D_location,binary,binary,2640.75367,,0.191,,,,,high,Dummy = 1 if located in core CBD,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,CORE_CBD,cbd_distance,D_location,binary,binary,-0.04,,-0.258,,,,,high,Dummy = 1 if located in core CBD,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,CORE_CBD,cbd_distance,D_location,binary,binary,-0.00833,,-0.216,,,,,high,Dummy = 1 if located in core CBD,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,UNITS,other,other,level,count,69.28454,,1.786,,*,,,high,Number of units in the project,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,UNITS,other,other,level,count,8e-05,,1.767,,*,,,high,Number of units in the project,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,UNITS,other,other,log,count,0.03358,,0.513,,,,,high,Number of units in the project,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,FLOORS,storeys,A_structural,level,count,-483.23396,,-0.861,,,,,high,Number of floors of the building,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,FLOORS,storeys,A_structural,level,count,-0.00038,,-0.6,,,,,high,Number of floors of the building,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,FLOORS,storeys,A_structural,log,count,-0.04395,,-0.935,,,,,high,Number of floors of the building,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,AREA,lot_size,A_structural,level,m2,-4.16441,,-1.378,,,,,high,"Project (site) area in sq.m, not unit size",Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,AREA,lot_size,A_structural,level,m2,-1e-05,,-1.522,,,,,high,"Project (site) area in sq.m, not unit size",ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,AREA,lot_size,A_structural,log,m2,-0.01511,,-0.329,,,,,high,"Project (site) area in sq.m, not unit size",ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,FACILITY,recreation_private,C_exterior,binary,binary,-13592.16403,,-0.921,,,,,high,"Common facilities (pool, exercise room, sauna)",Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,FACILITY,recreation_private,C_exterior,binary,binary,-0.01804,,-1.089,,,,,high,"Common facilities (pool, exercise room, sauna)",ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,FACILITY,recreation_private,C_exterior,binary,binary,-0.00618,,-0.136,,,,,high,"Common facilities (pool, exercise room, sauna)",ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,DEVELOPER,other,other,binary,binary,13892.27443,,0.881,,,,,high,Developer listed on Stock Exchange of Thailand,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,DEVELOPER,other,other,binary,binary,0.01976,,1.117,,,,,high,Developer listed on Stock Exchange of Thailand,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,DEVELOPER,other,other,binary,binary,0.05353,,1.163,,,,,high,Developer listed on Stock Exchange of Thailand,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,CAR_PARK,parking,A_structural,level,share,528.34177,,3.07,,***,,,high,Percentage of car parking lots per unit,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,CAR_PARK,parking,A_structural,level,share,0.0006,,3.085,,***,,,high,Percentage of car parking lots per unit,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,CAR_PARK,parking,A_structural,log,share,0.10543,,1.447,,,,,high,Percentage of car parking lots per unit,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,PARK,green_space,E_environment,binary,binary,46997.97505,,3.115,,***,,,high,Private recreation park inside the project,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,PARK,green_space,E_environment,binary,binary,0.069,,4.076,,***,,,high,Private recreation park inside the project,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,PARK,green_space,E_environment,binary,binary,0.1503,,3.525,,***,,,high,Private recreation park inside the project,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,FEE,other,other,level,THB per m2,1530.39732,,4.336,,***,,,high,Common area fee per sq.m per month,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,FEE,other,other,level,THB per m2,0.00189,,4.773,,***,,,high,Common area fee per sq.m per month,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,FEE,other,other,log,THB per m2,0.3847,,4.36,,***,,,high,Common area fee per sq.m per month,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,CORNER,other,other,binary,binary,25253.07083,,1.59,,,,,high,Building located at street corner,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,CORNER,other,other,binary,binary,0.04489,,2.277,,**,,,high,Building located at street corner,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,CORNER,other,other,binary,binary,0.07695,,1.519,,,,,high,Building located at street corner,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,MAIN_RD,highway_distance,D_location,level,m,15.79588,,0.542,,,,,high,Distance to nearest main road,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,MAIN_RD,highway_distance,D_location,level,m,1e-05,,0.288,,,,,high,Distance to nearest main road,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,MAIN_RD,highway_distance,D_location,log,m,-0.00219,,-0.193,,,,,high,Distance to nearest main road,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,EXPWAY,highway_distance,D_location,level,m,-24.97502,,-2.734,,***,,,high,Distance to nearest expressway,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,EXPWAY,highway_distance,D_location,level,m,-3e-05,,-2.76,,***,,,high,Distance to nearest expressway,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,EXPWAY,highway_distance,D_location,log,m,-0.08183,,-2.855,,***,,,high,Distance to nearest expressway,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,DEPART,commercial_distance,D_location,level,m,0.55753,,0.041,,,,,high,Distance to nearest department store/mall,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,DEPART,commercial_distance,D_location,level,m,1e-05,,0.361,,,,,high,Distance to nearest department store/mall,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,DEPART,commercial_distance,D_location,log,m,0.00861,,0.35,,,,,high,Distance to nearest department store/mall,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,SCHOOL,school_distance,D_location,level,m,5.20411,,0.261,,,,,high,Distance to nearest school/university,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,SCHOOL,school_distance,D_location,level,m,1e-05,,0.298,,,,,high,Distance to nearest school/university,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,SCHOOL,school_distance,D_location,log,m,0.00813,,0.308,,,,,high,Distance to nearest school/university,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c1,3,Model 1 Linear,12,HOSP,hospital_distance,D_location,level,m,6.90188,,0.421,,,,,high,Distance to nearest hospital,Price (THB per sq.m),per_m2,OLS,55.0,0.805,t,55 luxury condominium projects within 1 km of rail stations
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c2,3,Model 2 Semi-log,12,HOSP,hospital_distance,D_location,level,m,2e-05,,0.961,,,,,high,Distance to nearest hospital,ln(Price per sq.m),log,OLS,55.0,0.861,t,Dependent variable is log of price per sq.m
e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139,e2aec14baa7ef3008564e4685e54665957939139:T3-c3,3,Model 3 Double-log,12,HOSP,hospital_distance,D_location,log,m,0.03615,,1.176,,,,,high,Distance to nearest hospital,ln(Price per sq.m),log,OLS,55.0,0.83,t,Continuous regressors in logs; dummies unchanged
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Ln Size,living_area,A_structural,log,m2,-0.093,,-19.351,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Ln Size,living_area,A_structural,log,m2,-0.112,,-24.94,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Ln Size,living_area,A_structural,log,m2,-0.115,,-25.243,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Ln Building’s age,age,A_structural,log,years,0.017,,3.326,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Ln Building’s age,age,A_structural,log,years,0.011,,5.166,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Ln Building’s age,age,A_structural,log,years,0.012,,5.332,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Ln Floor/Level No.,floor_level,A_structural,log,count,0.01,,4.0,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Ln Floor/Level No.,floor_level,A_structural,log,count,-0.073,,-15.675,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Ln Floor/Level No.,floor_level,A_structural,log,count,-0.074,,-15.837,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Ln. Total floors,storeys,A_structural,log,count,-0.033,,-7.127,,***,,,high,total number of floors of the building (building height),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Ln. Total floors,storeys,A_structural,log,count,-0.047,,-8.464,,***,,,high,total number of floors of the building (building height),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Ln. Total floors,storeys,A_structural,log,count,-0.046,,-8.473,,***,,,high,total number of floors of the building (building height),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Ln Distance to CBD,cbd_distance,D_location,log,km,-0.235,,-17.77,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Ln Distance to CBD,cbd_distance,D_location,log,km,-0.338,,-11.65,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Ln Distance to CBD,cbd_distance,D_location,log,km,-0.342,,-11.665,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Ln Distance to West Intime,commercial_distance,D_location,log,km,-0.109,,-20.037,,***,,,high,road distance to the West Intime shopping mall (study object),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Ln Distance to Xicheng Square,commercial_distance,D_location,log,km,-0.048,,-9.958,,***,,,high,distance to Xicheng Square commercial centre,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Ln Distance to Xicheng Square,commercial_distance,D_location,log,km,-0.039,,-4.025,,***,,,high,distance to Xicheng Square commercial centre,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Ln Distance to Xicheng Square,commercial_distance,D_location,log,km,-0.039,,-3.947,,***,,,high,distance to Xicheng Square commercial centre,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Bus route,transit_distance,D_location,level,count,-0.002,,-3.998,,***,,,high,"number of bus routes serving the community (count), not a distance",ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Bus route,transit_distance,D_location,level,count,-0.004,,-7.507,,***,,,high,"number of bus routes serving the community (count), not a distance",ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Bus route,transit_distance,D_location,level,count,-0.003,,-7.344,,***,,,high,"number of bus routes serving the community (count), not a distance",ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,External environment,other,other,level,index,0.048,,11.484,,***,,,high,survey score 1-5 of surrounding environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,External environment,other,other,level,index,0.07,,15.541,,***,,,high,survey score 1-5 of surrounding environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,External environment,other,other,level,index,0.069,,15.134,,***,,,high,survey score 1-5 of surrounding environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Inner environment,other,other,level,index,-0.022,,-6.345,,***,,,high,survey score 1-5 of inner (community) environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Inner environment,other,other,level,index,-0.031,,-7.815,,***,,,high,survey score 1-5 of inner (community) environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Inner environment,other,other,level,index,-0.029,,-7.247,,***,,,high,survey score 1-5 of inner (community) environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,-0.007,,-3.089,,***,,,high,survey score 1-5 of living facilities (small commercial facilities),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,-0.031,,-12.806,,***,,,high,survey score 1-5 of living facilities (small commercial facilities),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,-0.031,,-12.824,,***,,,high,survey score 1-5 of living facilities (small commercial facilities),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.006,,2.587,,**,,,high,survey score 1-5,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.022,,9.695,,***,,,high,survey score 1-5,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.022,,9.451,,***,,,high,survey score 1-5,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Property management,other,other,level,index,0.084,,19.028,,***,,,high,survey score 1-5 of property management quality,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Property management,other,other,level,index,0.071,,16.67,,***,,,high,survey score 1-5 of property management quality,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Property management,other,other,level,index,0.072,,16.702,,***,,,high,survey score 1-5 of property management quality,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Quality of primary school,school_quality,F_neighbourhood,level,index,0.084,,34.341,,***,,,high,survey score 1-3,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Quality of primary school,school_quality,F_neighbourhood,level,index,0.063,,21.108,,***,,,high,survey score 1-3,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Quality of primary school,school_quality,F_neighbourhood,level,index,0.063,,20.962,,***,,,high,survey score 1-3,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Quality of junior high school,school_quality,F_neighbourhood,level,index,0.041,,5.725,,***,,,high,survey score 1-2,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Quality of junior high school,school_quality,F_neighbourhood,level,index,0.005,,0.386,,,,,high,survey score 1-2,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Quality of junior high school,school_quality,F_neighbourhood,level,index,0.005,,0.34,,,,,high,survey score 1-2,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Distance to primary school,school_distance,D_location,level,km,-0.032,,-9.596,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Distance to primary school,school_distance,D_location,level,km,-0.028,,-7.14,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Distance to primary school,school_distance,D_location,level,km,-0.028,,-7.027,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M1,5,Model 1,8,Distance to junior high school,school_distance,D_location,level,km,0.033,,11.329,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.642,t,Model 1: simple hedonic with ln distance to West Intime and year dummies; 9-zone partition
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M2,5,Model 2,8,Distance to junior high school,school_distance,D_location,level,km,-0.047,,-10.44,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.701,t,Model 2: zone x year spatio-temporal interaction dummies (44) instead of distance to West Intime and year dummies
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:T5-M3,5,Model 3,8,Distance to junior high school,school_distance,D_location,level,km,-0.046,,-10.061,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.696,t,"Model 3: extended price-gradient model with zone dummies, year dummies and zone x period interactions"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Size,living_area,A_structural,log,m2,-0.09,,-21.711,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Size,living_area,A_structural,log,m2,-0.085,,-20.923,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Size,living_area,A_structural,log,m2,-0.085,,-20.976,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Floor/Level No.,floor_level,A_structural,log,count,-0.033,,-8.278,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Floor/Level No.,floor_level,A_structural,log,count,-0.036,,-9.047,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Floor/Level No.,floor_level,A_structural,log,count,-0.036,,-9.12,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Total floors,storeys,A_structural,log,count,0.009,,3.961,,***,,,high,total number of floors of the building (building height),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Total floors,storeys,A_structural,log,count,0.009,,4.567,,***,,,high,total number of floors of the building (building height),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Total floors,storeys,A_structural,log,count,0.01,,4.599,,***,,,high,total number of floors of the building (building height),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Building’s age,age,A_structural,log,years,-0.001,,-1.162,,,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Building’s age,age,A_structural,log,years,-0.003,,-3.579,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Building’s age,age,A_structural,log,years,-0.004,,-4.426,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Distance to CBD,cbd_distance,D_location,log,km,-0.431,,-39.491,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Distance to CBD,cbd_distance,D_location,log,km,-0.538,,-46.694,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Distance to CBD,cbd_distance,D_location,log,km,-0.542,,-46.896,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Distance to West Intime,commercial_distance,D_location,log,km,-0.053,,-15.442,,***,,,high,road distance to the West Intime shopping mall (study object),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Distance to Xicheng Square,commercial_distance,D_location,log,km,-0.016,,-4.077,,***,,,high,distance to Xicheng Square commercial centre,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Distance to Xicheng Square,commercial_distance,D_location,log,km,-0.036,,-7.412,,***,,,high,distance to Xicheng Square commercial centre,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Distance to Xicheng Square,commercial_distance,D_location,log,km,-0.038,,-7.848,,***,,,high,distance to Xicheng Square commercial centre,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Bus route,transit_distance,D_location,level,count,-0.003,,-9.935,,***,,,high,"number of bus routes serving the community (count), not a distance",ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Bus route,transit_distance,D_location,level,count,-0.004,,-14.169,,***,,,high,"number of bus routes serving the community (count), not a distance",ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Bus route,transit_distance,D_location,level,count,-0.004,,-14.187,,***,,,high,"number of bus routes serving the community (count), not a distance",ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Surrounding environment,other,other,level,index,0.09,,25.051,,***,,,high,survey score 1-5 of surrounding environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Surrounding environment,other,other,level,index,0.051,,12.635,,***,,,high,survey score 1-5 of surrounding environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Surrounding environment,other,other,level,index,0.051,,12.472,,***,,,high,survey score 1-5 of surrounding environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Inner environment,other,other,level,index,-0.019,,-6.597,,***,,,high,survey score 1-5 of inner (community) environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Inner environment,other,other,level,index,-0.003,,-1.11,,,,,high,survey score 1-5 of inner (community) environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Inner environment,other,other,level,index,-0.003,,-1.16,,,,,high,survey score 1-5 of inner (community) environment,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,-0.006,,-2.113,,**,,,high,survey score 1-5 of living facilities (small commercial facilities),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.004,,1.347,,,,,high,survey score 1-5 of living facilities (small commercial facilities),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.003,,1.12,,,,,high,survey score 1-5 of living facilities (small commercial facilities),ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.035,,17.221,,***,,,high,survey score 1-5,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.031,,15.402,,***,,,high,survey score 1-5,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.03,,15.225,,***,,,high,survey score 1-5,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Property management,other,other,level,index,0.063,,22.996,,***,,,high,survey score 1-5 of property management quality,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Property management,other,other,level,index,0.061,,22.294,,***,,,high,survey score 1-5 of property management quality,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Property management,other,other,level,index,0.062,,22.615,,***,,,high,survey score 1-5 of property management quality,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Quality of primary school,school_quality,F_neighbourhood,level,index,0.054,,25.602,,***,,,high,survey score 1-3,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Quality of primary school,school_quality,F_neighbourhood,level,index,0.059,,25.861,,***,,,high,survey score 1-3,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Quality of primary school,school_quality,F_neighbourhood,level,index,0.059,,25.83,,***,,,high,survey score 1-3,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Quality of junior high school,school_quality,F_neighbourhood,level,index,0.003,,0.513,,,,,high,survey score 1-2,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Quality of junior high school,school_quality,F_neighbourhood,level,index,-0.009,,-1.262,,,,,high,survey score 1-2,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Quality of junior high school,school_quality,F_neighbourhood,level,index,-0.014,,-1.872,,,,,high,survey score 1-2,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Distance to primary school,school_distance,D_location,log,km,-0.005,,-2.339,,**,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Distance to primary school,school_distance,D_location,log,km,0.009,,4.219,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Distance to primary school,school_distance,D_location,log,km,0.009,,4.206,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M1,A1,Model 1,14,Ln Distance to junior high school,school_distance,D_location,log,km,0.038,,16.232,,***,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.557,t,Appendix 1 robustness: 8 concentric distance rings around West Intime instead of 9 zones; Model 1 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M2,A1,Model 2,14,Ln Distance to junior high school,school_distance,D_location,log,km,-0.002,,-0.812,,,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.596,t,Appendix 1 robustness: distance rings; Model 2 specification (ring x year interactions)
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA1-M3,A1,Model 3,14,Ln Distance to junior high school,school_distance,D_location,log,km,-0.002,,-0.738,,,,,high,,ln sale price per m2 (yuan/m2),per_m2,OLS,9254.0,0.592,t,Appendix 1 robustness: distance rings; Model 3 specification
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Size,living_area,A_structural,level,m2,-22.814,,,,***,,,high,,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Size,living_area,A_structural,log,m2,-1740.935,,,,***,,,high,linear-log column: level price per m2 on ln(x),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Size,living_area,A_structural,level,m2,0.001,,,,***,,,high,,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Size,living_area,A_structural,other,m2,-0.096,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Size,living_area,A_structural,other,m2,-0.122,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Size,living_area,A_structural,other,m2,-0.122,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Size,living_area,A_structural,other,m2,-0.124,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Floor/Level No.,floor_level,A_structural,level,count,20.424,,,,**,,,high,,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Floor/Level No.,floor_level,A_structural,log,count,190.989,,,,**,,,high,linear-log column: level price per m2 on ln(x),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Floor/Level No.,floor_level,A_structural,level,count,-0.001,,,,***,,,high,,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Floor/Level No.,floor_level,A_structural,other,count,0.011,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Floor/Level No.,floor_level,A_structural,other,count,0.012,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Floor/Level No.,floor_level,A_structural,other,count,0.012,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Floor/Level No.,floor_level,A_structural,other,count,0.013,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Total floors,storeys,A_structural,level,count,-32.672,,,,***,,,high,total number of floors of the building (building height),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Total floors,storeys,A_structural,log,count,-652.257,,,,***,,,high,linear-log column: level price per m2 on ln(x); total number of floors of the building (building height),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Total floors,storeys,A_structural,level,count,-0.002,,,,***,,,high,total number of floors of the building (building height),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Total floors,storeys,A_structural,other,count,-0.052,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; total number of floors of the building (building height),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Total floors,storeys,A_structural,other,count,-0.102,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; total number of floors of the building (building height),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Total floors,storeys,A_structural,other,count,-0.099,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; total number of floors of the building (building height),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Total floors,storeys,A_structural,other,count,-0.1,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; total number of floors of the building (building height),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Building’s age,age,A_structural,level,years,-30.326,,,,***,,,high,,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Building’s age,age,A_structural,log,years,235.921,,,,**,,,high,linear-log column: level price per m2 on ln(x),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Building’s age,age,A_structural,level,years,-0.001,,,,,,,high,,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Building’s age,age,A_structural,other,years,-0.013,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Building’s age,age,A_structural,other,years,0.028,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Building’s age,age,A_structural,other,years,-0.036,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Building’s age,age,A_structural,other,years,-0.03,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Distance to CBD,cbd_distance,D_location,level,km,-789.131,,,,***,,,high,,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Distance to CBD,cbd_distance,D_location,log,km,-4095.293,,,,***,,,high,linear-log column: level price per m2 on ln(x),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Distance to CBD,cbd_distance,D_location,level,km,-0.046,,,,***,,,high,,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Distance to CBD,cbd_distance,D_location,other,km,-0.046,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Distance to CBD,cbd_distance,D_location,other,km,-0.219,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Distance to CBD,cbd_distance,D_location,other,km,-0.291,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Distance to CBD,cbd_distance,D_location,other,km,-0.282,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Distance to West Intime,commercial_distance,D_location,level,km,-305.48,,,,***,,,high,road distance to the West Intime shopping mall (study object),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Distance to West Intime,commercial_distance,D_location,log,km,-1893.405,,,,***,,,high,linear-log column: level price per m2 on ln(x); road distance to the West Intime shopping mall (study object),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Distance to West Intime,commercial_distance,D_location,level,km,-0.018,,,,***,,,high,road distance to the West Intime shopping mall (study object),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Distance to West Intime,commercial_distance,D_location,other,km,-0.037,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; road distance to the West Intime shopping mall (study object),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Distance to West Intime,commercial_distance,D_location,other,km,-0.136,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; road distance to the West Intime shopping mall (study object),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Distance to Xicheng Square,commercial_distance,D_location,level,km,-327.487,,,,***,,,high,distance to Xicheng Square commercial centre,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Distance to Xicheng Square,commercial_distance,D_location,log,km,-959.592,,,,***,,,high,linear-log column: level price per m2 on ln(x); distance to Xicheng Square commercial centre,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Distance to Xicheng Square,commercial_distance,D_location,level,km,-0.015,,,,***,,,high,distance to Xicheng Square commercial centre,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Distance to Xicheng Square,commercial_distance,D_location,other,km,-0.008,,,,*,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; distance to Xicheng Square commercial centre,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Distance to Xicheng Square,commercial_distance,D_location,other,km,-0.03,,,,*,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; distance to Xicheng Square commercial centre,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Distance to Xicheng Square,commercial_distance,D_location,other,km,-0.019,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; distance to Xicheng Square commercial centre,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Distance to Xicheng Square,commercial_distance,D_location,other,km,-0.013,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; distance to Xicheng Square commercial centre,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,External environment,other,other,level,index,718.103,,,,***,,,high,survey score 1-5 of surrounding environment,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,External environment,other,other,log,index,730.509,,,,***,,,high,linear-log column: level price per m2 on ln(x); survey score 1-5 of surrounding environment,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,External environment,other,other,level,index,0.047,,,,***,,,high,survey score 1-5 of surrounding environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,External environment,other,other,other,index,0.015,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of surrounding environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,External environment,other,other,other,index,0.068,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of surrounding environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,External environment,other,other,other,index,0.076,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of surrounding environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,External environment,other,other,other,index,0.073,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of surrounding environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Inner environment,other,other,level,index,-284.909,,,,***,,,high,survey score 1-5 of inner (community) environment,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Inner environment,other,other,log,index,-366.97,,,,***,,,high,linear-log column: level price per m2 on ln(x); survey score 1-5 of inner (community) environment,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Inner environment,other,other,level,index,-0.016,,,,***,,,high,survey score 1-5 of inner (community) environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Inner environment,other,other,other,index,-0.002,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of inner (community) environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Inner environment,other,other,other,index,-0.005,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of inner (community) environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Inner environment,other,other,other,index,-0.018,,,,*,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of inner (community) environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Inner environment,other,other,other,index,-0.014,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of inner (community) environment,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,-181.152,,,,***,,,high,survey score 1-5 of living facilities (small commercial facilities),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Living facilities,neighbourhood_amenities,F_neighbourhood,log,index,-92.52,,,,*,,,high,linear-log column: level price per m2 on ln(x); survey score 1-5 of living facilities (small commercial facilities),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Living facilities,neighbourhood_amenities,F_neighbourhood,level,index,-0.013,,,,***,,,high,survey score 1-5 of living facilities (small commercial facilities),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Living facilities,neighbourhood_amenities,F_neighbourhood,other,index,-0.003,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of living facilities (small commercial facilities),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Living facilities,neighbourhood_amenities,F_neighbourhood,other,index,-0.004,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of living facilities (small commercial facilities),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Living facilities,neighbourhood_amenities,F_neighbourhood,other,index,-0.025,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of living facilities (small commercial facilities),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Living facilities,neighbourhood_amenities,F_neighbourhood,other,index,-0.026,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of living facilities (small commercial facilities),"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,300.827,,,,***,,,high,survey score 1-5,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Sports facilities,neighbourhood_amenities,F_neighbourhood,log,index,131.78,,,,***,,,high,linear-log column: level price per m2 on ln(x); survey score 1-5,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Sports facilities,neighbourhood_amenities,F_neighbourhood,level,index,0.014,,,,***,,,high,survey score 1-5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Sports facilities,neighbourhood_amenities,F_neighbourhood,other,index,0.004,,,,*,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Sports facilities,neighbourhood_amenities,F_neighbourhood,other,index,0.008,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Sports facilities,neighbourhood_amenities,F_neighbourhood,other,index,0.024,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Sports facilities,neighbourhood_amenities,F_neighbourhood,other,index,0.023,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Property management,other,other,level,index,1170.15,,,,***,,,high,survey score 1-5 of property management quality,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Property management,other,other,log,index,1656.332,,,,***,,,high,linear-log column: level price per m2 on ln(x); survey score 1-5 of property management quality,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Property management,other,other,level,index,0.061,,,,***,,,high,survey score 1-5 of property management quality,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Property management,other,other,other,index,0.03,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of property management quality,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Property management,other,other,other,index,0.081,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of property management quality,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Property management,other,other,other,index,0.06,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of property management quality,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Property management,other,other,other,index,0.061,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-5 of property management quality,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Bus route,transit_distance,D_location,level,count,-14.807,,,,*,,,high,"number of bus routes serving the community (count), not a distance","sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Bus route,transit_distance,D_location,log,count,-18.432,,,,**,,,high,"linear-log column: level price per m2 on ln(x); number of bus routes serving the community (count), not a distance","sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Bus route,transit_distance,D_location,level,count,-0.001,,,,***,,,high,"number of bus routes serving the community (count), not a distance","sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Bus route,transit_distance,D_location,other,count,-0.001,,,,***,,,medium,"functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; number of bus routes serving the community (count), not a distance","sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Bus route,transit_distance,D_location,other,count,-0.005,,,,***,,,medium,"functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; number of bus routes serving the community (count), not a distance","sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Bus route,transit_distance,D_location,other,count,-0.005,,,,***,,,medium,"functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; number of bus routes serving the community (count), not a distance","sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Bus route,transit_distance,D_location,other,count,-0.005,,,,***,,,medium,"functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; number of bus routes serving the community (count), not a distance","sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,15,Distance to primary school,school_distance,D_location,level,km,-763.224,,,,***,,,high,,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,15,Distance to primary school,school_distance,D_location,log,km,-548.397,,,,***,,,high,linear-log column: level price per m2 on ln(x),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,15,Distance to primary school,school_distance,D_location,level,km,-0.045,,,,***,,,high,,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,15,Distance to primary school,school_distance,D_location,other,km,-0.014,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,15,Distance to primary school,school_distance,D_location,other,km,-0.026,,,,**,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,15,Distance to primary school,school_distance,D_location,other,km,-0.019,,,,**,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,15,Distance to primary school,school_distance,D_location,other,km,-0.017,,,,*,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,16,Distance to junior high school,school_distance,D_location,level,km,835.816,,,,***,,,high,,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,16,Distance to junior high school,school_distance,D_location,log,km,613.014,,,,***,,,high,linear-log column: level price per m2 on ln(x),"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,16,Distance to junior high school,school_distance,D_location,level,km,0.044,,,,***,,,high,,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,16,Distance to junior high school,school_distance,D_location,other,km,0.008,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,16,Distance to junior high school,school_distance,D_location,other,km,0.023,,,,**,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,16,Distance to junior high school,school_distance,D_location,other,km,-0.047,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,16,Distance to junior high school,school_distance,D_location,other,km,-0.046,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,16,Quality of primary school,school_quality,F_neighbourhood,level,index,1534.241,,,,***,,,high,survey score 1-3,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,16,Quality of primary school,school_quality,F_neighbourhood,log,index,1790.623,,,,***,,,high,linear-log column: level price per m2 on ln(x); survey score 1-3,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,16,Quality of primary school,school_quality,F_neighbourhood,level,index,0.071,,,,***,,,high,survey score 1-3,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,16,Quality of primary school,school_quality,F_neighbourhood,other,index,0.026,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-3,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,16,Quality of primary school,school_quality,F_neighbourhood,other,index,0.093,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-3,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,16,Quality of primary school,school_quality,F_neighbourhood,other,index,0.067,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-3,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,16,Quality of primary school,school_quality,F_neighbourhood,other,index,0.067,,,,***,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-3,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c1,A2,Model 1 Linear,16,Quality of junior high school,school_quality,F_neighbourhood,level,index,139.638,,,,,,,high,survey score 1-2,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.591,none,"Model 1, linear form (level price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c2,A2,Model 1 Linear-log,16,Quality of junior high school,school_quality,F_neighbourhood,log,index,186.55,,,,,,,high,linear-log column: level price per m2 on ln(x); survey score 1-2,"sale price per m2 (yuan/m2), level",per_m2,OLS,9254.0,0.587,none,"Model 1, linear-log form (level price per m2 on ln regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c3,A2,Model 1 Log-linear,16,Quality of junior high school,school_quality,F_neighbourhood,level,index,0.038,,,,***,,,high,survey score 1-2,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,OLS,9254.0,0.644,none,"Model 1, log-linear form (ln price per m2 on level regressors)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c4,A2,Model 1 SAR,16,Quality of junior high school,school_quality,F_neighbourhood,other,index,0.008,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-2,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_lag,9254.0,0.709,none,"Model 1, spatial autoregressive model (W_lnprice = 0.755***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c5,A2,Model 1 SEM,16,Quality of junior high school,school_quality,F_neighbourhood,other,index,0.056,,,,**,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-2,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.722,none,"Model 1, spatial error model (lambda = 0.803***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c6,A2,Model 2 SEM,16,Quality of junior high school,school_quality,F_neighbourhood,other,index,0.037,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-2,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.734,none,"Model 2, spatial error model (lambda = 0.685***)"
e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89,e4f33aca0968c7c930129cd6f3fbf32507e5ac89:TA2-c7,A2,Model 3 SEM,16,Quality of junior high school,school_quality,F_neighbourhood,other,index,0.038,,,,,,,medium,functional form of regressors not stated for the SAR/SEM columns of Table A2 (variable names without 'Ln'); magnitudes are consistent with the log-log form of Table 5; survey score 1-2,"sale price per m2 (yuan/m2), ln for log-linear/SAR/SEM columns",per_m2,spatial_error,9254.0,0.728,none,"Model 3, spatial error model (lambda = 0.681***)"
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,Newly built dummy,age,A_structural,binary,binary,-0.112,0.106,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,Property age [years]/10,age,A_structural,level,10 years,-0.744,0.087,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,(Property age [years]/10)2,age,A_structural,squared,10 years,0.076,0.017,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.289,0.024,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.003,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.141,0.027,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,-0.004,0.023,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.025,0.004,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-OLS,2,s1-OLS,14,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.393,0.071,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.617,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,Newly built dummy,age,A_structural,binary,binary,0.079,0.085,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,Property age [years]/10,age,A_structural,level,10 years,-0.661,0.069,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,(Property age [years]/10)2,age,A_structural,squared,10 years,0.062,0.013,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.205,0.021,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.003,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.164,0.022,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,-0.01,0.018,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.02,0.006,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s1-GEO,2,s1-GEO,14,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.421,0.128,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.99,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Newly built dummy,age,A_structural,binary,binary,-0.067,0.099,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Property age [years]/10,age,A_structural,level,10 years,-0.736,0.082,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,(Property age [years]/10)2,age,A_structural,squared,10 years,0.077,0.016,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.234,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.002,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.144,0.025,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,-0.008,0.017,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.031,0.004,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.636,0.077,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,14,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.01,0.022,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Included in DID in 1960s or before,other,other,binary,binary,-0.596,0.105,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Included in DID in 1970s,other,other,binary,binary,-0.662,0.106,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Included in DID in 1980s,other,other,binary,binary,-0.6,0.095,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Included in DID in 1990s,other,other,binary,binary,-0.649,0.148,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Included in DID in 2000s,other,other,binary,binary,-0.523,0.169,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Included in DID in 2010s,other,other,binary,binary,-0.466,0.167,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.35,0.098,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Sediment disaster risk dummy,other,other,binary,binary,-0.233,0.047,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.089,0.045,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Hillside area dummy,other,other,binary,binary,-0.158,0.069,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-OLS,2,s2-OLS,15,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.287,0.047,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Newly built dummy,age,A_structural,binary,binary,0.068,0.086,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Property age [years]/10,age,A_structural,level,10 years,-0.664,0.069,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,(Property age [years]/10)2,age,A_structural,squared,10 years,0.063,0.013,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.198,0.02,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.002,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.162,0.022,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,-0.006,0.023,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.026,0.006,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.563,0.125,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,14,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.004,0.042,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Included in DID in 1960s or before,other,other,binary,binary,-0.269,0.175,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Included in DID in 1970s,other,other,binary,binary,-0.288,0.173,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Included in DID in 1980s,other,other,binary,binary,-0.213,0.164,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Included in DID in 1990s,other,other,binary,binary,-0.311,0.199,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Included in DID in 2000s,other,other,binary,binary,-0.117,0.225,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Included in DID in 2010s,other,other,binary,binary,-0.137,0.262,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.072,0.124,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Sediment disaster risk dummy,other,other,binary,binary,-0.14,0.046,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.026,0.06,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Hillside area dummy,other,other,binary,binary,-0.173,0.086,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s2-GEO,2,s2-GEO,15,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.262,0.074,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.992,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Newly built dummy,age,A_structural,binary,binary,0.039,0.08,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Property age [years]/10,age,A_structural,level,10 years,-0.675,0.067,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,(Property age [years]/10)2,age,A_structural,squared,10 years,0.065,0.013,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.16,0.019,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.001,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.204,0.036,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.009,0.002,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,0.007,0.014,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.033,0.006,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.685,0.132,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,14,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.002,0.043,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Included in DID in 1960s or before,other,other,binary,binary,-0.177,0.205,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Included in DID in 1970s,other,other,binary,binary,-0.191,0.198,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Included in DID in 1980s,other,other,binary,binary,-0.14,0.19,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Included in DID in 1990s,other,other,binary,binary,-0.201,0.188,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Included in DID in 2000s,other,other,binary,binary,-0.164,0.216,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Included in DID in 2010s,other,other,binary,binary,-0.035,0.245,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,-0.096,0.108,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Sediment disaster risk dummy,other,other,binary,binary,-0.101,0.041,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-OLS,2,s3-OLS,15,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.344,0.388,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.85,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Newly built dummy,age,A_structural,binary,binary,0.078,0.092,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Property age [years]/10,age,A_structural,level,10 years,-0.655,0.076,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,(Property age [years]/10)2,age,A_structural,squared,10 years,0.062,0.015,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.178,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.002,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.181,0.041,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.007,0.002,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,0.007,0.019,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.031,0.008,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.666,0.166,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,14,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.009,0.059,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Included in DID in 1960s or before,other,other,binary,binary,-0.213,0.276,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Included in DID in 1970s,other,other,binary,binary,-0.223,0.268,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Included in DID in 1980s,other,other,binary,binary,-0.163,0.259,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Included in DID in 1990s,other,other,binary,binary,-0.239,0.263,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Included in DID in 2000s,other,other,binary,binary,-0.096,0.286,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Included in DID in 2010s,other,other,binary,binary,-0.107,0.329,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,-0.002,0.135,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Sediment disaster risk dummy,other,other,binary,binary,-0.11,0.049,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s3-GEO,2,s3-GEO,15,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.172,0.512,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.998,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Newly built dummy,age,A_structural,binary,binary,-0.071,0.099,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Property age [years]/10,age,A_structural,level,10 years,-0.757,0.082,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,(Property age [years]/10)2,age,A_structural,squared,10 years,0.081,0.016,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.24,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.002,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.145,0.025,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.031,0.004,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.646,0.077,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.002,0.022,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Included in DID in 1960s or before,other,other,binary,binary,-0.61,0.105,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,17,Included in DID in 1970s,other,other,binary,binary,-0.669,0.106,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Included in DID in 1980s,other,other,binary,binary,-0.613,0.095,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Included in DID in 1990s,other,other,binary,binary,-0.651,0.148,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Included in DID in 2000s,other,other,binary,binary,-0.495,0.168,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Included in DID in 2010s,other,other,binary,binary,-0.489,0.167,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.39,0.098,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Sediment disaster risk dummy,other,other,binary,binary,-0.216,0.047,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.074,0.045,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Hillside area dummy,other,other,binary,binary,-0.16,0.069,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-OLS,2,s4-OLS,18,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.276,0.047,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.667,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Newly built dummy,age,A_structural,binary,binary,0.066,0.088,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Property age [years]/10,age,A_structural,level,10 years,-0.685,0.071,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,(Property age [years]/10)2,age,A_structural,squared,10 years,0.067,0.013,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.206,0.021,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.003,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.158,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.027,0.006,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.575,0.129,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",-0.005,0.042,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Included in DID in 1960s or before,other,other,binary,binary,-0.279,0.177,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,17,Included in DID in 1970s,other,other,binary,binary,-0.301,0.175,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Included in DID in 1980s,other,other,binary,binary,-0.22,0.166,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Included in DID in 1990s,other,other,binary,binary,-0.313,0.201,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Included in DID in 2000s,other,other,binary,binary,-0.123,0.228,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Included in DID in 2010s,other,other,binary,binary,-0.183,0.265,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.098,0.125,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Sediment disaster risk dummy,other,other,binary,binary,-0.123,0.047,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.021,0.061,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Hillside area dummy,other,other,binary,binary,-0.173,0.088,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s4-GEO,2,s4-GEO,18,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.254,0.075,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.993,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Newly built dummy,age,A_structural,binary,binary,0.037,0.08,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Property age [years]/10,age,A_structural,level,10 years,-0.694,0.067,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,(Property age [years]/10)2,age,A_structural,squared,10 years,0.068,0.013,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.169,0.019,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.001,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.189,0.036,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.008,0.002,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.035,0.006,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.724,0.133,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.011,0.043,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Included in DID in 1960s or before,other,other,binary,binary,-0.227,0.204,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,17,Included in DID in 1970s,other,other,binary,binary,-0.234,0.198,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,18,Included in DID in 1980s,other,other,binary,binary,-0.147,0.19,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,18,Included in DID in 1990s,other,other,binary,binary,-0.226,0.186,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,18,Included in DID in 2000s,other,other,binary,binary,-0.163,0.215,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,18,Included in DID in 2010s,other,other,binary,binary,-0.085,0.244,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,18,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,-0.011,0.108,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,18,Sediment disaster risk dummy,other,other,binary,binary,-0.088,0.041,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-OLS,2,s5-OLS,18,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.341,0.39,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.857,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Newly built dummy,age,A_structural,binary,binary,0.063,0.097,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Property age [years]/10,age,A_structural,level,10 years,-0.684,0.081,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,(Property age [years]/10)2,age,A_structural,squared,10 years,0.067,0.016,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.189,0.024,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.002,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.167,0.043,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.006,0.002,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.031,0.008,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.677,0.17,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.007,0.062,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Included in DID in 1960s or before,other,other,binary,binary,-0.243,0.282,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,17,Included in DID in 1970s,other,other,binary,binary,-0.254,0.275,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,18,Included in DID in 1980s,other,other,binary,binary,-0.16,0.264,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,18,Included in DID in 1990s,other,other,binary,binary,-0.227,0.269,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,18,Included in DID in 2000s,other,other,binary,binary,-0.102,0.292,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,18,Included in DID in 2010s,other,other,binary,binary,-0.098,0.341,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,18,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.034,0.139,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,18,Sediment disaster risk dummy,other,other,binary,binary,-0.095,0.052,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T2-s5-GEO,2,s5-GEO,18,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.226,0.528,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,Newly built dummy,age,A_structural,binary,binary,-0.036,0.124,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,Property age [years]/10,age,A_structural,level,10 years,-0.72,0.103,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,(Property age [years]/10)2,age,A_structural,squared,10 years,0.078,0.02,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.289,0.027,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.003,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.133,0.029,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,-0.014,0.029,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.02,0.005,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-OLS,3,s1-OLS,24,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.37,0.085,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.603,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,Newly built dummy,age,A_structural,binary,binary,0.052,0.099,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,Property age [years]/10,age,A_structural,level,10 years,-0.646,0.081,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,(Property age [years]/10)2,age,A_structural,squared,10 years,0.061,0.015,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.225,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.003,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.143,0.025,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,0.026,0.032,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.015,0.007,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s1-GEO,3,s1-GEO,24,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.33,0.15,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.987,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Newly built dummy,age,A_structural,binary,binary,0.003,0.116,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Property age [years]/10,age,A_structural,level,10 years,-0.704,0.097,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,(Property age [years]/10)2,age,A_structural,squared,10 years,0.078,0.019,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.239,0.026,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.002,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.145,0.028,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,-0.01,0.028,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.026,0.005,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.596,0.092,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.008,0.027,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Included in DID in 1960s or before,other,other,binary,binary,-0.614,0.126,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Included in DID in 1970s,other,other,binary,binary,-0.694,0.126,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,24,Included in DID in 1980s,other,other,binary,binary,-0.614,0.114,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Included in DID in 1990s,other,other,binary,binary,-0.628,0.179,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Included in DID in 2000s,other,other,binary,binary,-0.544,0.206,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Included in DID in 2010s,other,other,binary,binary,-0.498,0.185,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.206,0.116,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Sediment disaster risk dummy,other,other,binary,binary,-0.232,0.056,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.129,0.054,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Hillside area dummy,other,other,binary,binary,-0.204,0.083,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-OLS,3,s2-OLS,25,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.243,0.055,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.653,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Newly built dummy,age,A_structural,binary,binary,0.044,0.1,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Property age [years]/10,age,A_structural,level,10 years,-0.652,0.081,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,(Property age [years]/10)2,age,A_structural,squared,10 years,0.062,0.016,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.215,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.003,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.146,0.025,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,0.024,0.032,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.021,0.007,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.476,0.15,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.026,0.048,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Included in DID in 1960s or before,other,other,binary,binary,-0.317,0.204,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Included in DID in 1970s,other,other,binary,binary,-0.348,0.203,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,24,Included in DID in 1980s,other,other,binary,binary,-0.269,0.191,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Included in DID in 1990s,other,other,binary,binary,-0.366,0.233,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Included in DID in 2000s,other,other,binary,binary,-0.163,0.278,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Included in DID in 2010s,other,other,binary,binary,-0.198,0.297,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,-0.114,0.159,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Sediment disaster risk dummy,other,other,binary,binary,-0.14,0.054,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.05,0.069,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Hillside area dummy,other,other,binary,binary,-0.209,0.1,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s2-GEO,3,s2-GEO,25,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.221,0.084,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.989,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Newly built dummy,age,A_structural,binary,binary,0.086,0.093,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Property age [years]/10,age,A_structural,level,10 years,-0.563,0.077,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,(Property age [years]/10)2,age,A_structural,squared,10 years,0.043,0.015,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.173,0.022,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.001,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.242,0.045,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.012,0.003,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,0.022,0.022,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.025,0.007,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.464,0.15,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.08,0.052,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Included in DID in 1960s or before,other,other,binary,binary,-0.073,0.231,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Included in DID in 1970s,other,other,binary,binary,-0.164,0.224,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,24,Included in DID in 1980s,other,other,binary,binary,-0.056,0.217,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,25,Included in DID in 1990s,other,other,binary,binary,-0.116,0.219,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,25,Included in DID in 2000s,other,other,binary,binary,-0.177,0.267,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,25,Included in DID in 2010s,other,other,binary,binary,-0.044,0.271,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,25,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,-0.291,0.138,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,25,Sediment disaster risk dummy,other,other,binary,binary,-0.098,0.049,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-OLS,3,s3-OLS,25,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.454,0.408,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,OLS,1136.0,0.861,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Newly built dummy,age,A_structural,binary,binary,0.089,0.115,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Property age [years]/10,age,A_structural,level,10 years,-0.593,0.094,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,(Property age [years]/10)2,age,A_structural,squared,10 years,0.048,0.018,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.178,0.027,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.002,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.247,0.054,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.012,0.003,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Date of transaction registered (yearly conversion),transaction_timing,G_market,level,years,0.029,0.031,,,,,,high,linear time trend in years from earliest transaction,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.025,0.009,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.495,0.193,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.108,0.074,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Included in DID in 1960s or before,other,other,binary,binary,-0.087,0.336,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Included in DID in 1970s,other,other,binary,binary,-0.142,0.326,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,24,Included in DID in 1980s,other,other,binary,binary,-0.046,0.317,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,25,Included in DID in 1990s,other,other,binary,binary,-0.115,0.333,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,25,Included in DID in 2000s,other,other,binary,binary,-0.053,0.386,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,25,Included in DID in 2010s,other,other,binary,binary,-0.029,0.394,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,25,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,-0.264,0.186,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,25,Sediment disaster risk dummy,other,other,binary,binary,-0.13,0.063,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T3-s3-GEO,3,s3-GEO,25,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.309,0.585,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,other,1136.0,0.997,se,in-sample 2016-2018 (2019 held out for out-of-sample prediction); n not printed
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Newly built dummy,age,A_structural,binary,binary,-0.021,0.095,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Property age [years]/10,age,A_structural,level,10 years,-0.733,0.076,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,(Property age [years]/10)2,age,A_structural,squared,10 years,0.074,0.015,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.261,0.022,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.169,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.024,0.006,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.548,0.112,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.02,0.034,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Included in DID in 1960s or before,other,other,binary,binary,-0.004,0.149,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Included in DID in 1970s,other,other,binary,binary,-0.029,0.149,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Included in DID in 1980s,other,other,binary,binary,0.056,0.14,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Included in DID in 1990s,other,other,binary,binary,-0.141,0.18,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Included in DID in 2000s,other,other,binary,binary,-0.028,0.211,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,31,Included in DID in 2010s,other,other,binary,binary,0.071,0.257,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,32,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.238,0.114,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,32,Sediment disaster risk dummy,other,other,binary,binary,-0.115,0.048,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,32,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.057,0.061,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,32,Hillside area dummy,other,other,binary,binary,-0.072,0.089,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SLX,4,SLX,32,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.284,0.072,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_lag,1136.0,0.753,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Newly built dummy,age,A_structural,binary,binary,-0.014,0.091,,,,,,high,dummy for newly built house (mapped to age family),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Property age [years]/10,age,A_structural,level,10 years,-0.728,0.074,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,(Property age [years]/10)2,age,A_structural,squared,10 years,0.073,0.014,,,,,,high,square of age/10,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Floor space [m2] /100,living_area,A_structural,level,100 m2,0.254,0.021,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,(Floor space [m2] /100)2,living_area,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of floor space/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Land area [m2]/100,lot_size,A_structural,level,100 m2,0.168,0.023,,,,,,high,,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,(Land area [m2] /100)2,lot_size,A_structural,squared,100 m2,-0.004,0.001,,,,,,high,square of land area/100,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Walking time to nearest station [min],transit_distance,D_location,level,minutes,-0.023,0.006,,,,,,high,walking time (minutes) to nearest railway station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Bus to closest station dummy,transit_distance,D_location,binary,binary,-0.539,0.113,,,,,,high,dummy = bus needed to reach closest station,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Number of daily passengers of the closest station [ten thousand persons / day],other,other,level,"10,000 persons/day",0.011,0.036,,,,,,high,ridership of closest station (station importance),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Included in DID in 1960s or before,other,other,binary,binary,-0.036,0.152,,,,,,high,densely inhabited district (DID) inclusion decade; reference = not in DID,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Included in DID in 1970s,other,other,binary,binary,-0.048,0.151,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Included in DID in 1980s,other,other,binary,binary,0.058,0.143,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Included in DID in 1990s,other,other,binary,binary,-0.161,0.18,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Included in DID in 2000s,other,other,binary,binary,-0.023,0.208,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,31,Included in DID in 2010s,other,other,binary,binary,0.032,0.254,,,,,,high,DID inclusion decade,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,32,Tsunami risk dummy (over 3 m),flood_risk,E_environment,binary,binary,0.19,0.12,,,,,,high,tsunami inundation risk zone over 3 m,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,32,Sediment disaster risk dummy,other,other,binary,binary,-0.112,0.046,,,,,,high,landslide/sediment disaster risk zone,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,32,Ratio of residents over 20 years,demographics,F_neighbourhood,binary,binary,-0.066,0.061,,,,,,high,district-level; summary stats show 0/1 variable (mean 0.38),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,32,Hillside area dummy,other,other,binary,binary,-0.099,0.087,,,,,,high,hillside district dummy (topography),"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90,e6c58cb070edd6cfaff8b1bababd256016f5ed90:T4-SDEM,4,SDEM,32,Promotion area dummy,public_services,F_neighbourhood,binary,binary,0.292,0.074,,,,,,high,city-designated promotion area with purchase subsidies,"transaction price (10,000 JPY / 1,000, i.e. in 10 million JPY)",level,spatial_error,1136.0,0.734,se,
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,m2,living_area,A_structural,level,m2,1402.891,42.63756,,,**,,,medium,House size (square meters); Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,m2,living_area,A_structural,level,m2,1400.571,43.10532,,,**,,,medium,House size (square meters); Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,m2,living_area,A_structural,level,m2,1357.357,42.76402,,,**,,,medium,House size (square meters); Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,lift,accessibility,B_interior,binary,binary,19696.78,2053.673,,,**,,,medium,Building has elevator; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,lift,accessibility,B_interior,binary,binary,19308.17,2083.496,,,**,,,medium,Building has elevator; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,lift,accessibility,B_interior,binary,binary,18207.86,2035.105,,,**,,,medium,Building has elevator; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,bathr,bathrooms,A_structural,level,count,17679.49,2281.784,,,**,,,medium,Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,bathr,bathrooms,A_structural,level,count,16844.87,2293.362,,,**,,,medium,Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,bathr,bathrooms,A_structural,level,count,15889.03,2260.322,,,**,,,medium,Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,heating,heating,A_structural,binary,binary,5868.963,1855.498,,,**,,,medium,"Dummy: 0 if central, 1 if individual heating; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,heating,heating,A_structural,binary,binary,5214.945,1889.629,,,**,,,medium,"Dummy: 0 if central, 1 if individual heating; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,heating,heating,A_structural,binary,binary,5113.653,1827.406,,,**,,,medium,"Dummy: 0 if central, 1 if individual heating; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,a a,air_conditioning,A_structural,binary,binary,5675.952,1628.007,,,**,,,medium,"Printed as 'a a' (= a_a, air conditioning dummy per Table 1); Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,a a,air_conditioning,A_structural,binary,binary,5603.866,1601.317,,,**,,,medium,"Printed as 'a a' (= a_a, air conditioning dummy per Table 1); Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,a a,air_conditioning,A_structural,binary,binary,5568.183,1601.539,,,**,,,medium,"Printed as 'a a' (= a_a, air conditioning dummy per Table 1); Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,basem,basement,A_structural,binary,binary,8831.146,1909.752,,,**,,,medium,Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,basem,basement,A_structural,binary,binary,8139.17,1907.114,,,**,,,medium,Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,basem,basement,A_structural,binary,binary,8132.938,1879.831,,,**,,,medium,Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,spool,pool,C_exterior,binary,binary,15517.48,2313.651,,,**,,,medium,Urbanization has swimming pool; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,spool,pool,C_exterior,binary,binary,15329.57,2406.694,,,**,,,medium,Urbanization has swimming pool; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,spool,pool,C_exterior,binary,binary,12687.42,2324.918,,,**,,,medium,Urbanization has swimming pool; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,parking,parking,A_structural,level,count,24322.4,2220.907,,,**,,,medium,Number of parking places included in price; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,parking,parking,A_structural,level,count,23780.65,2252.612,,,**,,,medium,Number of parking places included in price; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,parking,parking,A_structural,level,count,22977.94,2194.465,,,**,,,medium,Number of parking places included in price; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,zone B2,other,other,binary,binary,-31553.56,1899.969,,,**,,,medium,"Higher transit fare zone (Fuenlabrada, Mostoles) - submarket dummy; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,zone B2,other,other,binary,binary,-31564.53,2246.84,,,**,,,medium,"Higher transit fare zone (Fuenlabrada, Mostoles) - submarket dummy; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,zone B2,other,other,binary,binary,-28817.85,1924.455,,,**,,,medium,"Higher transit fare zone (Fuenlabrada, Mostoles) - submarket dummy; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern)",House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,ms/pci,transit_distance,D_location,other,m / EUR per-capita income,-45862.74,18787.84,,,*,,,medium,Network distance to closest Metrosur station (m) divided by municipal per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,ms/pci,transit_distance,D_location,other,m / EUR per-capita income,-45912.37,22044.94,,,*,,,medium,Network distance to closest Metrosur station (m) divided by municipal per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,ms/pci,transit_distance,D_location,other,m / EUR per-capita income,-42145.6,18492.35,,,*,,,medium,Network distance to closest Metrosur station (m) divided by municipal per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,cer/pci,transit_distance,D_location,other,m / EUR per-capita income,-76497.57,13989.91,,,**,,,medium,Network distance to Cercanias commuter rail station (m) divided by per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,cer/pci,transit_distance,D_location,other,m / EUR per-capita income,-74584.5,16442.75,,,**,,,medium,Network distance to Cercanias commuter rail station (m) divided by per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,cer/pci,transit_distance,D_location,other,m / EUR per-capita income,-69047.84,13819.2,,,**,,,medium,Network distance to Cercanias commuter rail station (m) divided by per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,hosp/pci,hospital_distance,D_location,other,m / EUR per-capita income,61411.55,18107.78,,,**,,,medium,Network distance to closest hospital (m) divided by per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,hosp/pci,hospital_distance,D_location,other,m / EUR per-capita income,60944.1,21288.32,,,**,,,medium,Network distance to closest hospital (m) divided by per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,hosp/pci,hospital_distance,D_location,other,m / EUR per-capita income,47469.47,17963.27,,,**,,,medium,Network distance to closest hospital (m) divided by per-capita income; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c1,2,OLS,7,pop,density,F_neighbourhood,level,population within 100 m,-0.1244867,0.04346661,,,**,,,medium,Population around 100 m (Euclidean); Table 1 says 'x10^6'; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,OLS,1714.0,0.7591,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c2,2,Spatial Error Model,7,pop,density,F_neighbourhood,level,population within 100 m,-0.1474505,0.05079898,,,**,,,medium,Population around 100 m (Euclidean); Table 1 says 'x10^6'; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_error,1714.0,0.7636,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674,e7545aa69fd7e3b0b4fddbe8806b08519280a674:T2-c3,2,Spatial Lag Model,7,pop,density,F_neighbourhood,level,population within 100 m,-0.07174224,0.04380104,,,,,,medium,Population around 100 m (Euclidean); Table 1 says 'x10^6'; Parentheses assumed to be standard errors (table note does not say; consistent with star pattern),House sale (asking) price (EUR),level,spatial_lag,1714.0,0.765,se,"Full sample of idealista.com listings, 5 municipalities of south Madrid"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Number of Bedrooms,bedrooms,A_structural,level,count,0.19084,0.01905,,,***,,,medium,,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Number of Restrooms,bathrooms,A_structural,level,count,0.22406,0.01556,,,***,,,medium,Restrooms = bathrooms/washrooms,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Solar,other,other,binary,binary,0.19034,0.087,,,**,,,medium,House has a solar (electricity) system,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Solar,other,other,binary,binary,0.15393,0.07881,,,*,,,medium,House has a solar (electricity) system,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Gas,other,other,binary,binary,0.2769,0.10152,,,***,,,medium,House has piped gas supply (utility access),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Gas,other,other,binary,binary,0.25384,0.09281,,,***,,,medium,House has piped gas supply (utility access),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Water Supply,other,other,binary,binary,0.30605,0.08358,,,***,,,medium,House has water supply (utility access),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Water Supply,other,other,binary,binary,0.21211,0.07702,,,***,,,medium,House has water supply (utility access),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Commercial,other,other,binary,binary,-0.32337,0.0724,,,***,,,medium,Residence located in a commercial area (vs residential area),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Commercial,other,other,binary,binary,-0.20353,0.06739,,,***,,,medium,Residence located in a commercial area (vs residential area),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Grocery Store within 1 km,commercial_distance,D_location,binary,binary (<=1 km),0.17134,0.07043,,,**,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Grocery Store within 1 km,commercial_distance,D_location,binary,binary (<=1 km),0.12619,0.06453,,,*,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,School within 1 km,school_distance,D_location,binary,binary (<=1 km),-0.19937,0.07551,,,***,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,School within 1 km,school_distance,D_location,binary,binary (<=1 km),-0.22155,0.06892,,,***,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,College within 1 km,university_distance,D_location,binary,binary (<=1 km),0.17704,0.11147,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,College within 1 km,university_distance,D_location,binary,binary (<=1 km),0.10853,0.1022,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,University within 1 km,university_distance,D_location,binary,binary (<=1 km),-0.06739,0.13293,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,University within 1 km,university_distance,D_location,binary,binary (<=1 km),-0.04698,0.12162,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Hospital within 1 km,hospital_distance,D_location,binary,binary (<=1 km),0.08957,0.08688,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Hospital within 1 km,hospital_distance,D_location,binary,binary (<=1 km),0.04538,0.0795,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Bus stop within1 km,transit_distance,D_location,binary,binary (<=1 km),-0.06862,0.07352,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Bus stop within1 km,transit_distance,D_location,binary,binary (<=1 km),-0.03853,0.06703,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Police Station within 1 km,public_services,F_neighbourhood,binary,binary (<=1 km),0.02213,0.09772,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Police Station within 1 km,public_services,F_neighbourhood,binary,binary (<=1 km),0.14729,0.0887,,,*,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Railway Station within 1 km,transit_distance,D_location,binary,binary (<=1 km),-0.2292,0.27549,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Railway Station within 1 km,transit_distance,D_location,binary,binary (<=1 km),-0.28402,0.25189,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Airport within 1 km,airport_distance,D_location,binary,binary (<=1 km),-0.08662,0.3611,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Airport within 1 km,airport_distance,D_location,binary,binary (<=1 km),-0.17339,0.33029,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Post office within 1 km,public_services,F_neighbourhood,binary,binary (<=1 km),0.04187,0.11913,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Post office within 1 km,public_services,F_neighbourhood,binary,binary (<=1 km),0.02894,0.10902,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Bank within 1 km,neighbourhood_amenities,F_neighbourhood,binary,binary (<=1 km),0.04841,0.06972,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Bank within 1 km,neighbourhood_amenities,F_neighbourhood,binary,binary (<=1 km),0.02741,0.06369,,,,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Trees,green_space,E_environment,binary,binary,0.09482,0.07637,,,,,,medium,Respondent agrees there are more than 6 trees in the neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Trees,green_space,E_environment,binary,binary,0.06448,0.06997,,,,,,medium,Respondent agrees there are more than 6 trees in the neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Availability of Park within 1 km,green_space,E_environment,binary,binary (<=1 km),0.34378,0.06762,,,***,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Availability of Park within 1 km,green_space,E_environment,binary,binary (<=1 km),0.2976,0.06208,,,***,,,medium,Dummy = 1 if amenity within 1 km of residence (vs. access but > 1 km),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Open Air Waste Dump within 1 km,hazard_site,E_environment,binary,binary (<=1 km),0.02968,0.0753,,,,,,medium,Open-air dumping site (kachra) within 1 km,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Open Air Waste Dump within 1 km,hazard_site,E_environment,binary,binary (<=1 km),0.03656,0.06888,,,,,,medium,Open-air dumping site (kachra) within 1 km,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,16,Open Air Burning of Waste,hazard_site,E_environment,binary,binary,-0.10674,0.06896,,,,,,medium,Respondent often witnesses open-air burning of waste in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,16,Open Air Burning of Waste,hazard_site,E_environment,binary,binary,-0.07552,0.06306,,,,,,medium,Respondent often witnesses open-air burning of waste in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Choked Sewer pipes,public_services,F_neighbourhood,binary,binary,-0.0482,0.06954,,,,,,medium,Respondent often witnesses choking of sewer pipes in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Choked Sewer pipes,public_services,F_neighbourhood,binary,binary,-0.05673,0.06356,,,,,,medium,Respondent often witnesses choking of sewer pipes in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Poor roads,public_services,F_neighbourhood,binary,binary,0.02837,0.07313,,,,,,medium,Poor road quality in neighbourhood (perceived),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Poor roads,public_services,F_neighbourhood,binary,binary,0.0243,0.06693,,,,,,medium,Poor road quality in neighbourhood (perceived),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Streetlight,public_services,F_neighbourhood,binary,binary,-0.02707,0.08168,,,,,,medium,Access to streetlights in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Streetlight,public_services,F_neighbourhood,binary,binary,-0.00476,0.07479,,,,,,medium,Access to streetlights in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,No garbage Collection,public_services,F_neighbourhood,binary,binary,-0.17426,0.23352,,,,,,medium,No garbage collection in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,No garbage Collection,public_services,F_neighbourhood,binary,binary,-0.17237,0.2137,,,,,,medium,No garbage collection in neighbourhood,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Crime,crime,F_neighbourhood,binary,binary,-0.11143,0.06979,,,,,,medium,Respondent hears about crime incidents in neighbourhood (perceived),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Crime,crime,F_neighbourhood,binary,binary,-0.09445,0.06385,,,,,,medium,Respondent hears about crime incidents in neighbourhood (perceived),"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Respect Neighbourhood,other,other,binary,binary,0.12975,0.087,,,,,,medium,Social cohesion: people in neighbourhood respect each other,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Respect Neighbourhood,other,other,binary,binary,0.12689,0.07959,,,,,,medium,Social cohesion: people in neighbourhood respect each other,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Trust Neighbourhood,other,other,binary,binary,0.02358,0.09925,,,,,,medium,Social cohesion: trust among neighbours,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Trust Neighbourhood,other,other,binary,binary,-0.0076,0.09089,,,,,,medium,Social cohesion: trust among neighbours,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Friendly Neighbourhood,other,other,binary,binary,-0.14998,0.08965,,,*,,,medium,Social cohesion: neighbours friendly and helpful,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Friendly Neighbourhood,other,other,binary,binary,-0.10355,0.08213,,,,,,medium,Social cohesion: neighbours friendly and helpful,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Hear Birds often,other,other,binary,binary,-0.2209,0.08997,,,**,,,medium,Natural soundscape: respondent often hears birds chirping at home,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Hear Birds often,other,other,binary,binary,-0.16602,0.08251,,,**,,,medium,Natural soundscape: respondent often hears birds chirping at home,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Hear Traffic often,noise,E_environment,binary,binary,0.0363,0.06815,,,,,,medium,Perceived traffic noise: often hears traffic at home,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Hear Traffic often,noise,E_environment,binary,binary,0.02107,0.06227,,,,,,medium,Perceived traffic noise: often hears traffic at home,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Hear Construction often,noise,E_environment,binary,binary,0.04938,0.06699,,,,,,medium,Perceived construction noise: often hears construction at home,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Hear Construction often,noise,E_environment,binary,binary,0.0364,0.06132,,,,,,medium,Perceived construction noise: often hears construction at home,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c1,3 (Appendix 1),1,17,Chowks,noise,E_environment,binary,binary,-0.12687,0.0691,,,*,,,medium,Noisy places/intersections (chowks) near residence,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.4625,se,"Model 1: number of bedrooms as structural size variable; full results (abridged duplicate in Table 2 p.11-12, which prints R-squared 0.4572)"
e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f,e8f48e7e91bb043c222f2cfbe026c67e0e422a5f:T3-c2,3 (Appendix 1),2,17,Chowks,noise,E_environment,binary,binary,-0.11883,0.06324,,,*,,,medium,Noisy places/intersections (chowks) near residence,"Log (house value), self-reported approximate market value of the dwelling in PKR",log,OLS,484.0,0.5498,se,Model 2: number of restrooms replaces number of bedrooms; full results (abridged duplicate in Table 2 p.11-12)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,AREA,living_area,A_structural,level,m2,984.173,,40.962,,***,,,high,House size (m2) per Table IV,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,AREA,living_area,A_structural,level,m2,0.008,,36.788,,***,,,high,House size (m2) per Table IV,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,APP,dwelling_type,A_structural,binary,binary,26783.922,,11.888,,***,,,high,Apartment,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,APP,dwelling_type,A_structural,binary,binary,0.232,,11.815,,***,,,high,Apartment,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,DET,dwelling_type,A_structural,binary,binary,44882.795,,20.154,,***,,,high,Detached,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,DET,dwelling_type,A_structural,binary,binary,0.349,,18.017,,***,,,high,Detached,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,SDT,dwelling_type,A_structural,binary,binary,12213.843,,9.105,,***,,,high,Semi-detached,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,SDT,dwelling_type,A_structural,binary,binary,0.165,,14.084,,***,,,high,Semi-detached,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,PRE1919,age,A_structural,binary,binary,-12068.371,,-8.082,,***,,,high,Built before 1919 (age cohort dummy),"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,PRE1919,age,A_structural,binary,binary,-0.082,,-6.332,,***,,,high,Built before 1919 (age cohort dummy),ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,POST1980,age,A_structural,binary,binary,4313.548,,1.91,,*,,,high,Built after 1980,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,POST1980,age,A_structural,binary,binary,0.092,,4.663,,***,,,high,Built after 1980,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,POSTWAR,age,A_structural,binary,binary,-5143.561,,-3.402,,***,,,high,Post-war cohort,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,POSTWAR,age,A_structural,binary,binary,0.0,,0.033,,,,,high,Post-war cohort,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,EARLYMODER,age,A_structural,binary,binary,-5168.802,,-2.731,,***,,,high,Early modern cohort,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,EARLYMODER,age,A_structural,binary,binary,0.008,,0.47,,,,,high,Early modern cohort,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,ELECHEAT,heating,A_structural,binary,binary,-1801.579,,-0.956,,,,,high,Electric heating,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,ELECHEAT,heating,A_structural,binary,binary,-0.024,,-1.453,,,,,high,Electric heating,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,GASHEAT,heating,A_structural,binary,binary,-235.123,,-0.224,,,,,high,Gas heating,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,GASHEAT,heating,A_structural,binary,binary,-0.004,,-0.485,,,,,high,Gas heating,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,SOLIDHEAT,heating,A_structural,binary,binary,-20.006,,-0.012,,,,,high,Solid-fuel heating,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,SOLIDHEAT,heating,A_structural,binary,binary,0.002,,0.144,,,,,high,Solid-fuel heating,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,SOC,other,other,binary,binary,-11022.089,,-6.185,,***,,,high,Social (public) build type,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,SOC,other,other,binary,binary,-0.138,,-8.92,,***,,,high,Social (public) build type,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,NOGAR,garage,A_structural,binary,binary,-1338.239,,-1.198,,,,,high,No garage (sign reversed relative to garage presence),"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,NOGAR,garage,A_structural,binary,binary,-0.018,,-1.837,,*,,,high,No garage (sign reversed relative to garage presence),ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Air Q Low,air_pollution,E_environment,binary,NO2 band (ug/m3),-5459.501,,-2.477,,**,,,high,NO2 band 24.47-29.66 ug/m3 = low air quality,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Air Q Low,air_pollution,E_environment,binary,NO2 band (ug/m3),-0.066,,-3.425,,***,,,high,NO2 band 24.47-29.66 ug/m3 = low air quality,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Air Q High,air_pollution,E_environment,binary,NO2 band (ug/m3),4677.732,,1.957,,**,,,high,NO2 band 12.98-18.54 ug/m3 = high air quality; stars as printed,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Air Q High,air_pollution,E_environment,binary,NO2 band (ug/m3),0.05,,2.424,,**,,,high,NO2 band 12.98-18.54 ug/m3 = high air quality; stars as printed,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Air Q Very High,air_pollution,E_environment,binary,NO2 band (ug/m3),29829.619,,4.988,,***,,,high,NO2 band 7.40-12.97 ug/m3 = very high air quality,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Air Q Very High,air_pollution,E_environment,binary,NO2 band (ug/m3),0.349,,6.704,,***,,,high,NO2 band 7.40-12.97 ug/m3 = very high air quality,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,PM8_9,air_pollution,E_environment,binary,PM2.5 band (ug/m3),6568.69,,2.602,,***,,,high,PM2.5 8.01-9.00 ug/m3,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,PM8_9,air_pollution,E_environment,binary,PM2.5 band (ug/m3),0.061,,2.769,,***,,,high,PM2.5 8.01-9.00 ug/m3,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,PM10_11,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-2325.647,,-1.243,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,PM10_11,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-0.023,,-1.419,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,PM11_12,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-11669.558,,-4.199,,***,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,PM11_12,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-0.098,,-4.061,,***,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,PM12_13,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-11885.036,,-1.452,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,PM12_13,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-0.101,,-1.982,,**,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,PM13_14,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-13055.665,,-1.386,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,PM13_14,air_pollution,E_environment,binary,PM2.5 band (ug/m3),-0.118,,-2.434,,**,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,AQMA Within300,air_pollution,E_environment,binary,binary,-773.144,,-0.192,,,,,high,Within 300 m of Air Quality Management Area,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,AQMA Within300,air_pollution,E_environment,binary,binary,0.013,,0.372,,,,,high,Within 300 m of Air Quality Management Area,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,AQMA Inside,air_pollution,E_environment,binary,binary,2624.339,,1.527,,,,,high,Inside Air Quality Management Area,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,AQMA Inside,air_pollution,E_environment,binary,binary,0.037,,2.489,,**,,,high,Inside Air Quality Management Area,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road Noise V Low,noise,E_environment,binary,dB band,-128.152,,-0.096,,,,,high,Road noise LAeq band,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road Noise V Low,noise,E_environment,binary,dB band,-0.012,,-1.043,,,,,high,Road noise LAeq band,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road Noise Low,noise,E_environment,binary,dB band,2914.37,,1.394,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road Noise Low,noise,E_environment,binary,dB band,0.026,,1.456,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road Noise Moderate,noise,E_environment,binary,dB band,-1833.483,,-0.621,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road Noise Moderate,noise,E_environment,binary,dB band,-0.002,,-0.066,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road Noise High,noise,E_environment,binary,dB band,3667.62,,0.9,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road Noise High,noise,E_environment,binary,dB band,0.002,,0.05,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road Noise V High,noise,E_environment,binary,dB band,918.18,,0.187,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road Noise V High,noise,E_environment,binary,dB band,0.037,,0.863,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road Noise Extreme,noise,E_environment,binary,dB band,1290.596,,0.204,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road Noise Extreme,noise,E_environment,binary,dB band,0.008,,0.151,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_25,highway_distance,D_location,binary,m band,-4728.319,,-1.285,,,,,high,Within 25 m of main arterial road,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_25,highway_distance,D_location,binary,m band,-0.023,,-0.711,,,,,high,Within 25 m of main arterial road,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_50,highway_distance,D_location,binary,m band,-2478.698,,-0.923,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_50,highway_distance,D_location,binary,m band,-0.021,,-0.886,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_75,highway_distance,D_location,binary,m band,-2109.971,,-0.913,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_75,highway_distance,D_location,binary,m band,-0.021,,-1.029,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_100,highway_distance,D_location,binary,m band,1617.957,,0.846,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_100,highway_distance,D_location,binary,m band,0.017,,1.025,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_125,highway_distance,D_location,binary,m band,-1048.081,,-0.575,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_125,highway_distance,D_location,binary,m band,0.005,,0.289,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_150,highway_distance,D_location,binary,m band,2384.342,,1.316,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_150,highway_distance,D_location,binary,m band,0.017,,1.074,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_175,highway_distance,D_location,binary,m band,970.0,,0.423,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_175,highway_distance,D_location,binary,m band,0.004,,0.204,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_200,highway_distance,D_location,binary,m band,-2612.83,,-1.313,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_200,highway_distance,D_location,binary,m band,-0.007,,-0.407,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_225,highway_distance,D_location,binary,m band,7514.066,,3.218,,***,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_225,highway_distance,D_location,binary,m band,0.055,,2.685,,***,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),45,Road_250,highway_distance,D_location,binary,m band,4800.88,,2.338,,**,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),45,Road_250,highway_distance,D_location,binary,m band,0.037,,2.082,,**,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_25,transit_distance,D_location,binary,m band,915.277,,0.197,,,,,high,"Within 25 m of railway line (line, not station)","Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_25,transit_distance,D_location,binary,m band,0.073,,1.795,,*,,,high,"Within 25 m of railway line (line, not station)",ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail Noise Low,noise,E_environment,binary,dB band,-27487.45,,-2.415,,***,,,high,Rail noise LAeq band,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail Noise Low,noise,E_environment,binary,dB band,-0.441,,-4.16,,***,,,high,Rail noise LAeq band,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail Noise Mod,noise,E_environment,binary,dB band,-5678.95,,-0.46,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail Noise Mod,noise,E_environment,binary,dB band,0.004,,0.032,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail Noise High,noise,E_environment,binary,dB band,-24811.37,,-2.179,,**,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail Noise High,noise,E_environment,binary,dB band,-0.365,,-3.445,,***,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail Noise V high,noise,E_environment,binary,dB band,19069.76,,1.67,,*,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail Noise V high,noise,E_environment,binary,dB band,0.151,,1.425,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_50,transit_distance,D_location,binary,m band,-11206.596,,-3.087,,***,,,high,Distance band to railway line,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_50,transit_distance,D_location,binary,m band,-0.041,,-1.302,,,,,high,Distance band to railway line,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_75,transit_distance,D_location,binary,m band,-5504.543,,-1.718,,*,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_75,transit_distance,D_location,binary,m band,-0.013,,-0.452,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_100,transit_distance,D_location,binary,m band,-17789.479,,-3.683,,***,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_100,transit_distance,D_location,binary,m band,-0.103,,-2.459,,**,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_125,transit_distance,D_location,binary,m band,-12567.617,,-1.939,,**,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_125,transit_distance,D_location,binary,m band,-0.045,,-0.801,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_150,transit_distance,D_location,binary,m band,3099.302,,0.584,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_150,transit_distance,D_location,binary,m band,0.065,,1.4,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_175,transit_distance,D_location,binary,m band,-373.185,,-0.075,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_175,transit_distance,D_location,binary,m band,0.011,,0.243,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_200,transit_distance,D_location,binary,m band,-7930.388,,-1.569,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_200,transit_distance,D_location,binary,m band,-0.103,,-2.33,,**,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_225,transit_distance,D_location,binary,m band,-7541.898,,-1.668,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_225,transit_distance,D_location,binary,m band,-0.036,,-0.925,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Rail_250,transit_distance,D_location,binary,m band,-5447.877,,-1.121,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Rail_250,transit_distance,D_location,binary,m band,-0.027,,-0.635,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Airport Noise Low,noise,E_environment,binary,dB band,-3105.489,,-1.517,,,,,high,Airport noise LAeq band,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Airport Noise Low,noise,E_environment,binary,dB band,-0.01,,-0.557,,,,,high,Airport noise LAeq band,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Airport Noise Mod,noise,E_environment,binary,dB band,-4698.304,,-1.221,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Airport Noise Mod,noise,E_environment,binary,dB band,-0.032,,-0.959,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Airport Noise High,noise,E_environment,binary,dB band,-6349.414,,-1.024,,,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Airport Noise High,noise,E_environment,binary,dB band,-0.079,,-1.454,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Airport400_1000,airport_distance,D_location,binary,m band,-16552.49,,-2.385,,**,,,high,400-1000 m from city airport,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Airport400_1000,airport_distance,D_location,binary,m band,-0.056,,-0.931,,,,,high,400-1000 m from city airport,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Airport1001_1500,airport_distance,D_location,binary,m band,-10388.389,,-1.807,,*,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Airport1001_1500,airport_distance,D_location,binary,m band,-0.026,,-0.527,,,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Airport1501_2000,airport_distance,D_location,binary,m band,-9955.022,,-2.219,,**,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Airport1501_2000,airport_distance,D_location,binary,m band,-0.086,,-2.196,,**,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Airport2001_2500,airport_distance,D_location,binary,m band,-10345.695,,-3.125,,***,,,high,,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Airport2001_2500,airport_distance,D_location,binary,m band,-0.076,,-2.637,,***,,,high,,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Industry Noise Base,noise,E_environment,binary,dB band,-12765.213,,-1.786,,*,,,high,Industrial noise base band,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Industry Noise Base,noise,E_environment,binary,dB band,-0.149,,-2.389,,**,,,high,Industrial noise base band,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Industry Distance400,hazard_site,E_environment,binary,m band,-7160.737,,-3.119,,***,,,high,Within 400 m of industrially zoned area,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Industry Distance400,hazard_site,E_environment,binary,m band,-0.084,,-4.216,,***,,,high,Within 400 m of industrially zoned area,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c1,V,1 (Linear),46,Industry Distance200,hazard_site,E_environment,binary,m band,3415.499,,0.851,,,,,high,Within 200 m of industrially zoned area,"Price (GBP, time adjusted)",level,OLS,2501.0,0.809,t,Full sample; t-statistics printed in adjacent column (not in parentheses)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TV-c2,V,2 (Log-linear),46,Industry Distance200,hazard_site,E_environment,binary,m band,0.006,,0.166,,,,,high,Within 200 m of industrially zoned area,ln(Price),log,OLS,2501.0,0.815,t,Full sample; t-statistics printed in adjacent column
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVII-c1,VII,1 (Linear),48,Mod. flight noise,noise,E_environment,binary,binary,-1215.8,,,,**,,,medium,"No SE or t printed; stars only (***99%, **95%, *90%)","Price (GBP, time adjusted)",level,OLS,2501.0,,none,Flight-path specification (only flight-path coefficients reported)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVII-c2,VII,2 (Log-linear),48,Mod. flight noise,noise,E_environment,binary,binary,-0.04,,,,**,,,medium,No SE or t printed; stars only,ln(Price),log,OLS,2501.0,,none,Flight-path specification
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVII-c1,VII,1 (Linear),48,High flight noise,noise,E_environment,binary,binary,-3854.2,,,,**,,,medium,"No SE or t printed; stars only (***99%, **95%, *90%)","Price (GBP, time adjusted)",level,OLS,2501.0,,none,Flight-path specification (only flight-path coefficients reported)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVII-c2,VII,2 (Log-linear),48,High flight noise,noise,E_environment,binary,binary,-0.075,,,,**,,,medium,No SE or t printed; stars only,ln(Price),log,OLS,2501.0,,none,Flight-path specification
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVII-c1,VII,1 (Linear),48,Under flight path,noise,E_environment,binary,binary,-6560.8,,,,**,,,medium,"No SE or t printed; stars only (***99%, **95%, *90%)","Price (GBP, time adjusted)",level,OLS,2501.0,,none,Flight-path specification (only flight-path coefficients reported)
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVII-c2,VII,2 (Log-linear),48,Under flight path,noise,E_environment,binary,binary,-0.056,,,,**,,,medium,No SE or t printed; stars only,ln(Price),log,OLS,2501.0,,none,Flight-path specification
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,AREA,living_area,A_structural,level,m2,0.01009,,34.729,,***,,,high,,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,AREA,living_area,A_structural,level,m2,0.003986,,23.38,,***,,,high,,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,AREA,living_area,A_structural,level,m2,0.003905,,23.431,,***,,,high,,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,AREA,living_area,A_structural,level,m2,0.003931,,23.758,,***,,,high,,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,AREA,living_area,A_structural,level,m2,0.004007,,23.735,,***,,,high,,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,AREA,living_area,A_structural,level,m2,0.003974,,23.299,,***,,,high,,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,AREA,living_area,A_structural,level,m2,0.00398,,23.342,,***,,,high,,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,APP,dwelling_type,A_structural,binary,binary,0.366772,,15.078,,***,,,high,Apartment,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,APP,dwelling_type,A_structural,binary,binary,0.051301,,3.835,,***,,,high,Apartment,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,APP,dwelling_type,A_structural,binary,binary,-0.00555,,-0.392,,,,,high,Apartment,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,APP,dwelling_type,A_structural,binary,binary,-0.00617,,-0.447,,,,,high,Apartment,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,APP,dwelling_type,A_structural,binary,binary,0.037728,,2.796,,***,,,high,Apartment,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,APP,dwelling_type,A_structural,binary,binary,0.04626,,3.387,,***,,,high,Apartment,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,APP,dwelling_type,A_structural,binary,binary,0.05144,,3.784,,***,,,high,Apartment,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,TER,dwelling_type,A_structural,binary,binary,-0.10434,,-6.728,,***,,,high,Terraced,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,TER,dwelling_type,A_structural,binary,binary,-0.025474,,-3.101,,***,,,high,Terraced,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,TER,dwelling_type,A_structural,binary,binary,-0.03527,,,,***,,,medium,"t printed as '(-4264)' (garbled, probably -4.264); t left null",ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,TER,dwelling_type,A_structural,binary,binary,-0.0378,,-4.617,,***,,,high,Terraced,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,TER,dwelling_type,A_structural,binary,binary,-0.03192,,-3.809,,***,,,high,Terraced,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,TER,dwelling_type,A_structural,binary,binary,-0.02886,,-3.441,,***,,,high,Terraced,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,TER,dwelling_type,A_structural,binary,binary,-0.0255,,-3.11,,***,,,high,Terraced,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,DET,dwelling_type,A_structural,binary,binary,0.204127,,8.315,,***,,,high,Detached,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,DET,dwelling_type,A_structural,binary,binary,0.03467,,2.65,,***,,,high,Detached,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,DET,dwelling_type,A_structural,binary,binary,0.048884,,3.767,,***,,,high,Detached,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,DET,dwelling_type,A_structural,binary,binary,0.058726,,4.497,,***,,,high,Detached,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,DET,dwelling_type,A_structural,binary,binary,0.03604,,2.777,,***,,,high,Detached,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,DET,dwelling_type,A_structural,binary,binary,0.033414,,2.542,,**,,,high,Detached,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,DET,dwelling_type,A_structural,binary,binary,0.0344,,2.629,,***,,,high,Detached,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,PRE1919,age,A_structural,binary,binary,-0.06371,,-2.222,,**,,,high,Built pre-1919,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,PRE1919,age,A_structural,binary,binary,-0.065664,,-4.356,,***,,,high,Built pre-1919,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,PRE1919,age,A_structural,binary,binary,-0.08027,,-5.421,,***,,,high,Built pre-1919,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,PRE1919,age,A_structural,binary,binary,-0.08606,,-5.841,,***,,,high,Built pre-1919,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,PRE1919,age,A_structural,binary,binary,-0.06855,,-4.579,,***,,,high,Built pre-1919,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,PRE1919,age,A_structural,binary,binary,-0.06753,,-4.472,,***,,,high,Built pre-1919,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,PRE1919,age,A_structural,binary,binary,-0.0655,,-4.341,,***,,,high,Built pre-1919,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,INTERWAR,age,A_structural,binary,binary,-0.03624,,-1.355,,,,,high,Interwar cohort,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,INTERWAR,age,A_structural,binary,binary,-0.041892,,-2.978,,***,,,high,Interwar cohort,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,INTERWAR,age,A_structural,binary,binary,-0.05072,,-3.683,,***,,,high,Interwar cohort,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,INTERWAR,age,A_structural,binary,binary,-0.05496,,-4.013,,***,,,high,Interwar cohort,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,INTERWAR,age,A_structural,binary,binary,-0.03979,,-2.854,,***,,,high,Interwar cohort,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,INTERWAR,age,A_structural,binary,binary,-0.04325,,-3.071,,***,,,high,Interwar cohort,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,INTERWAR,age,A_structural,binary,binary,-0.0419,,-2.981,,***,,,high,Interwar cohort,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,POSTWAR,age,A_structural,binary,binary,-0.03179,,-1.099,,,,,high,Post-war cohort,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,POSTWAR,age,A_structural,binary,binary,-0.078489,,-5.157,,***,,,high,Post-war cohort,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,POSTWAR,age,A_structural,binary,binary,-0.07516,,-5.055,,***,,,high,Post-war cohort,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,POSTWAR,age,A_structural,binary,binary,-0.07323,,-4.956,,***,,,high,Post-war cohort,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,POSTWAR,age,A_structural,binary,binary,-0.07922,,-5.257,,***,,,high,Post-war cohort,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,POSTWAR,age,A_structural,binary,binary,-0.07649,,-5.004,,***,,,high,Post-war cohort,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,POSTWAR,age,A_structural,binary,binary,-0.0785,,-5.154,,***,,,high,Post-war cohort,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,EARLYMODER,age,A_structural,binary,binary,-0.00802,,-0.249,,,,,high,Early modern cohort,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,EARLYMODER,age,A_structural,binary,binary,-0.068598,,-4.054,,***,,,high,Early modern cohort,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,EARLYMODER,age,A_structural,binary,binary,-0.06558,,-3.967,,***,,,high,Early modern cohort,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,EARLYMODER,age,A_structural,binary,binary,-0.06552,,-3.99,,***,,,high,Early modern cohort,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,EARLYMODER,age,A_structural,binary,binary,-0.0695,,-4.149,,***,,,high,Early modern cohort,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,EARLYMODER,age,A_structural,binary,binary,-0.06687,,-3.934,,***,,,high,Early modern cohort,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,EARLYMODER,age,A_structural,binary,binary,-0.0685,,-4.051,,***,,,high,Early modern cohort,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,ELECHEAT,heating,A_structural,binary,binary,0.00069,,0.022,,,,,high,,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,ELECHEAT,heating,A_structural,binary,binary,-0.012883,,-0.794,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,ELECHEAT,heating,A_structural,binary,binary,-0.01024,,-0.646,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,ELECHEAT,heating,A_structural,binary,binary,-0.00894,,-0.567,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,ELECHEAT,heating,A_structural,binary,binary,-0.01371,,-0.854,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,ELECHEAT,heating,A_structural,binary,binary,-0.01285,,-0.792,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,ELECHEAT,heating,A_structural,binary,binary,-0.0129,,-0.778,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,GASHEAT,heating,A_structural,binary,binary,-0.01906,,-0.811,,,,,high,,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,GASHEAT,heating,A_structural,binary,binary,-0.002525,,-0.204,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,GASHEAT,heating,A_structural,binary,binary,-0.00191,,-0.157,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,GASHEAT,heating,A_structural,binary,binary,-0.00047,,-0.039,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,GASHEAT,heating,A_structural,binary,binary,-0.00419,,-0.342,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,GASHEAT,heating,A_structural,binary,binary,-0.0023,,-0.185,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,GASHEAT,heating,A_structural,binary,binary,-0.0026,,-0.215,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,OILHEAT,heating,A_structural,binary,binary,-0.01857,,-0.858,,,,,high,,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,OILHEAT,heating,A_structural,binary,binary,-0.002954,,-0.259,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,OILHEAT,heating,A_structural,binary,binary,-0.00241,,-0.217,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,OILHEAT,heating,A_structural,binary,binary,-0.00062,,-0.056,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,OILHEAT,heating,A_structural,binary,binary,-0.0038,,-0.337,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,OILHEAT,heating,A_structural,binary,binary,-0.00291,,-0.256,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,OILHEAT,heating,A_structural,binary,binary,-0.0029,,-0.258,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,PRIV,other,other,binary,binary,0.186685,,8.525,,***,,,high,Private build type (vs social),ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,PRIV,other,other,binary,binary,0.056389,,4.849,,***,,,high,Private build type (vs social),ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,PRIV,other,other,binary,binary,0.057544,,5.054,,***,,,high,Private build type (vs social),ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,PRIV,other,other,binary,binary,0.055683,,4.92,,***,,,high,Private build type (vs social),ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,PRIV,other,other,binary,binary,0.05453,,4.721,,***,,,high,Private build type (vs social),ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,PRIV,other,other,binary,binary,0.052528,,4.445,,***,,,high,Private build type (vs social),ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,PRIV,other,other,binary,binary,0.0564,,4.836,,***,,,high,Private build type (vs social),ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c1,VIII,1 (Base No Lag),49,GAR,garage,A_structural,binary,binary,0.003206,,0.219,,,,,high,,ln(Price),log,OLS,2501.0,0.546,t,Base model without spatial lag
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c2,VIII,2 (Base + Lag),49,GAR,garage,A_structural,binary,binary,0.010816,,1.409,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8744,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,GAR,garage,A_structural,binary,binary,0.012548,,1.673,,*,,,high,,ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,GAR,garage,A_structural,binary,binary,0.012156,,1.632,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,GAR,garage,A_structural,binary,binary,0.009612,,1.264,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,GAR,garage,A_structural,binary,binary,0.011042,,1.439,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,GAR,garage,A_structural,binary,binary,0.0105,,1.378,,,,,high,,ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c3,VIII,3 (NO2),49,NO2,air_pollution,E_environment,level,ug/m3,-0.19054,,-6.17,,***,,,medium,"Entered continuously in the SLM (not banded as in OLS); unit assumed ug/m3; spatially lagged NO2 interaction term (0.017422, t 6.439) not extracted",ln(Price),log,spatial_lag,2501.0,0.8804,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c4,VIII,4 (PM2.5),49,PM2.5,air_pollution,E_environment,level,ug/m3,-0.70096,,-6.478,,***,,,medium,"Continuous PM2.5; spatial-lag interaction term (0.064866, t 6.812) not extracted",ln(Price),log,spatial_lag,2501.0,0.8819,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c5,VIII,5 Rail,49,Rail Noise,noise,E_environment,level,db,-0.9084,,-4.973,,***,,,medium,"Scale of noise variable in SLM not stated (dB level assumed); spatial-lag interaction (0.081707, t 5.131) not extracted",ln(Price),log,spatial_lag,2501.0,0.8771,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c6,VIII,6 Airport,49,Airport Noise,noise,E_environment,level,db,0.04471,,0.326,,,,,medium,"Scale not stated; spatial-lag interaction (-0.0033, t -0.2737) not extracted",ln(Price),log,spatial_lag,2501.0,0.8746,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad,eb83365b4894fa9c413cfdff9bdf069881dad3ad:TVIII-c7,VIII,7 Road,49,Road Noise,noise,E_environment,level,db,0.02389,,0.234,,,,,medium,"Scale not stated; spatial-lag interaction (-0.002, t 0.233) not extracted",ln(Price),log,spatial_lag,2501.0,0.8745,t,"Spatial lag model, W = 1/d (inverse distance); column 1 is the non-spatial base"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-BICR,2,Panel A: Birmingham Civil Rights National Monument,47,"Birmingham Civil Rights National Monument x AFTER, distance band 1-3km",green_space,E_environment,other,binary,4.128,,,0.812,,,,medium,DID treatment effect (delta22: distance band 1-3km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,275643.0,,p,"Model 2 (DID): Birmingham Civil Rights National Monument; Alabama, 1998-2021; designation 2017 (treatment year 2017); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-BICR,2,Panel A: Birmingham Civil Rights National Monument,47,"Birmingham Civil Rights National Monument x AFTER, distance band 3-5km",green_space,E_environment,other,binary,20.697,,,0.21,,,,medium,DID treatment effect (delta22: distance band 3-5km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,275643.0,,p,"Model 2 (DID): Birmingham Civil Rights National Monument; Alabama, 1998-2021; designation 2017 (treatment year 2017); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-BICR,2,Panel A: Birmingham Civil Rights National Monument,47,"Birmingham Civil Rights National Monument x AFTER, distance band 5-7km",green_space,E_environment,other,binary,8.635,,,0.626,,,,medium,DID treatment effect (delta22: distance band 5-7km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,275643.0,,p,"Model 2 (DID): Birmingham Civil Rights National Monument; Alabama, 1998-2021; designation 2017 (treatment year 2017); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-BICR,2,Panel A: Birmingham Civil Rights National Monument,47,"Birmingham Civil Rights National Monument x AFTER, distance band 7-10km",green_space,E_environment,other,binary,4.157,,,0.672,,,,medium,DID treatment effect (delta22: distance band 7-10km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,275643.0,,p,"Model 2 (DID): Birmingham Civil Rights National Monument; Alabama, 1998-2021; designation 2017 (treatment year 2017); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-CUVA,2,Panel A: Cuyahoga Valley National Park,47,"Cuyahoga Valley National Park x AFTER, distance band <1km",green_space,E_environment,other,binary,0.224,,,0.973,,,,medium,DID treatment effect (delta22: distance band <1km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,492635.0,,p,"Model 2 (DID): Cuyahoga Valley National Park; Ohio, 1993-2021; redesignated 2000 (treatment year 2001); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-CUVA,2,Panel A: Cuyahoga Valley National Park,47,"Cuyahoga Valley National Park x AFTER, distance band 1-2km",green_space,E_environment,other,binary,2.712,,,0.636,,,,medium,DID treatment effect (delta22: distance band 1-2km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,492635.0,,p,"Model 2 (DID): Cuyahoga Valley National Park; Ohio, 1993-2021; redesignated 2000 (treatment year 2001); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-CUVA,2,Panel A: Cuyahoga Valley National Park,47,"Cuyahoga Valley National Park x AFTER, distance band 2-3km",green_space,E_environment,other,binary,-0.565,,,0.899,,,,medium,DID treatment effect (delta22: distance band 2-3km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,492635.0,,p,"Model 2 (DID): Cuyahoga Valley National Park; Ohio, 1993-2021; redesignated 2000 (treatment year 2001); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-CUVA,2,Panel A: Cuyahoga Valley National Park,47,"Cuyahoga Valley National Park x AFTER, distance band 3-5km",green_space,E_environment,other,binary,-1.55,,,0.546,,,,medium,DID treatment effect (delta22: distance band 3-5km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,492635.0,,p,"Model 2 (DID): Cuyahoga Valley National Park; Ohio, 1993-2021; redesignated 2000 (treatment year 2001); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-PAGR,2,Panel A: Paterson Great Falls National Historical Park,47,"Paterson Great Falls National Historical Park x AFTER, distance band <1km",green_space,E_environment,other,binary,-12.558,,,0.041,,,,medium,DID treatment effect (delta22: distance band <1km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,779069.0,,p,"Model 2 (DID): Paterson Great Falls National Historical Park; New Jersey, 1994-2021; established Nov 2011 (treatment year 2012); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-PAGR,2,Panel A: Paterson Great Falls National Historical Park,47,"Paterson Great Falls National Historical Park x AFTER, distance band 1-2km",green_space,E_environment,other,binary,-11.245,,,0.034,,,,medium,DID treatment effect (delta22: distance band 1-2km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,779069.0,,p,"Model 2 (DID): Paterson Great Falls National Historical Park; New Jersey, 1994-2021; established Nov 2011 (treatment year 2012); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-PAGR,2,Panel A: Paterson Great Falls National Historical Park,47,"Paterson Great Falls National Historical Park x AFTER, distance band 2-3km",green_space,E_environment,other,binary,-10.233,,,0.043,,,,medium,DID treatment effect (delta22: distance band 2-3km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,779069.0,,p,"Model 2 (DID): Paterson Great Falls National Historical Park; New Jersey, 1994-2021; established Nov 2011 (treatment year 2012); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-PAGR,2,Panel A: Paterson Great Falls National Historical Park,47,"Paterson Great Falls National Historical Park x AFTER, distance band 3-5km",green_space,E_environment,other,binary,-6.813,,,0.143,,,,medium,DID treatment effect (delta22: distance band 3-5km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,779069.0,,p,"Model 2 (DID): Paterson Great Falls National Historical Park; New Jersey, 1994-2021; established Nov 2011 (treatment year 2012); all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-RIRA,2,Panel A: River Raisin National Battlefield Park,47,"River Raisin National Battlefield Park x AFTER, distance band 1-3km",green_space,E_environment,other,binary,-10.155,,,0.686,,,,medium,DID treatment effect (delta22: distance band 1-3km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,575846.0,,p,"Model 2 (DID): River Raisin National Battlefield Park; Michigan, 1994-2021; all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-RIRA,2,Panel A: River Raisin National Battlefield Park,47,"River Raisin National Battlefield Park x AFTER, distance band 3-5km",green_space,E_environment,other,binary,8.317,,,0.763,,,,medium,DID treatment effect (delta22: distance band 3-5km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,575846.0,,p,"Model 2 (DID): River Raisin National Battlefield Park; Michigan, 1994-2021; all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-RIRA,2,Panel A: River Raisin National Battlefield Park,47,"River Raisin National Battlefield Park x AFTER, distance band 5-10km",green_space,E_environment,other,binary,6.455,,,0.816,,,,medium,DID treatment effect (delta22: distance band 5-10km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,575846.0,,p,"Model 2 (DID): River Raisin National Battlefield Park; Michigan, 1994-2021; all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-TUSK,2,Panel A: Tule Springs Fossil Beds National Monument,47,"Tule Springs Fossil Beds National Monument x AFTER, distance band 1-3km",green_space,E_environment,other,binary,-9.92,,,0.099,,,,medium,DID treatment effect (delta22: distance band 1-3km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,1480403.0,,p,"Model 2 (DID): Tule Springs Fossil Beds National Monument; Nevada (Las Vegas), 1994-2018; all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-TUSK,2,Panel A: Tule Springs Fossil Beds National Monument,47,"Tule Springs Fossil Beds National Monument x AFTER, distance band 3-5km",green_space,E_environment,other,binary,-8.61,,,0.144,,,,medium,DID treatment effect (delta22: distance band 3-5km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,1480403.0,,p,"Model 2 (DID): Tule Springs Fossil Beds National Monument; Nevada (Las Vegas), 1994-2018; all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2A-TUSK,2,Panel A: Tule Springs Fossil Beds National Monument,47,"Tule Springs Fossil Beds National Monument x AFTER, distance band 5-10km",green_space,E_environment,other,binary,-11.25,,,0.003,,,,medium,DID treatment effect (delta22: distance band 5-10km to park x AFTER designation) expressed as percent difference in house prices vs houses outside the farthest band; interaction term; Panel A values are in percent (e.g. -10.155 = -10.2%),log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,1480403.0,,p,"Model 2 (DID): Tule Springs Fossil Beds National Monument; Nevada (Las Vegas), 1994-2018; all hedonic coefficients allowed to differ before/after designation; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-BOST-NHS,2,Panel B: National Historic Sites,47,"National Historic Sites, distance band <=1 km",green_space,E_environment,binary,binary,0.039,,,0.252,,,,medium,"Model 1 distance-band dummy (<=1 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,966983.0,,p,"Model 1 (constant coefficients): Boston National Historic Sites; Boston MA, 1987-2021; block group FE; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-BOST-NHS,2,Panel B: National Historic Sites,47,"National Historic Sites, distance band 1-2 km",green_space,E_environment,binary,binary,-0.007,,,0.724,,,,medium,"Model 1 distance-band dummy (1-2 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,966983.0,,p,"Model 1 (constant coefficients): Boston National Historic Sites; Boston MA, 1987-2021; block group FE; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-BOST-NHS,2,Panel B: National Historic Sites,47,"National Historic Sites, distance band 2-3 km",green_space,E_environment,binary,binary,-0.01,,,0.516,,,,medium,"Model 1 distance-band dummy (2-3 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,966983.0,,p,"Model 1 (constant coefficients): Boston National Historic Sites; Boston MA, 1987-2021; block group FE; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-BOST-NHP,2,Panel B: National Historical Parks,47,"National Historical Parks, distance band <=1 km",green_space,E_environment,binary,binary,-0.003,,,0.028,,,,medium,"Model 1 distance-band dummy (<=1 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,966983.0,,p,"Model 1 (constant coefficients): Boston National Historical Parks; Boston MA, 1987-2021; same regression as NHS row; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-BOST-NHP,2,Panel B: National Historical Parks,47,"National Historical Parks, distance band 1-2 km",green_space,E_environment,binary,binary,-0.009,,,0.553,,,,medium,"Model 1 distance-band dummy (1-2 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,966983.0,,p,"Model 1 (constant coefficients): Boston National Historical Parks; Boston MA, 1987-2021; same regression as NHS row; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-BOST-NHP,2,Panel B: National Historical Parks,47,"National Historical Parks, distance band 2-3 km",green_space,E_environment,binary,binary,0.007,,,0.622,,,,medium,"Model 1 distance-band dummy (2-3 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,966983.0,,p,"Model 1 (constant coefficients): Boston National Historical Parks; Boston MA, 1987-2021; same regression as NHS row; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-SAGE,2,Panel B: Saguaro East,47,"Saguaro East, distance band <=2 km",green_space,E_environment,binary,binary,0.113,,,0.003,,,,medium,"Model 1 distance-band dummy (<=2 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Saguaro East; Tucson AZ, 1994-2019; four parks (Saguaro East/West, Coronado NF, Tucson Mountain Park) in one regression; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-SAGE,2,Panel B: Saguaro East,47,"Saguaro East, distance band 2-3 km",green_space,E_environment,binary,binary,0.059,,,0.102,,,,medium,"Model 1 distance-band dummy (2-3 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Saguaro East; Tucson AZ, 1994-2019; four parks (Saguaro East/West, Coronado NF, Tucson Mountain Park) in one regression; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-SAGE,2,Panel B: Saguaro East,47,"Saguaro East, distance band 3-5 km",green_space,E_environment,binary,binary,0.022,,,0.48,,,,medium,"Model 1 distance-band dummy (3-5 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Saguaro East; Tucson AZ, 1994-2019; four parks (Saguaro East/West, Coronado NF, Tucson Mountain Park) in one regression; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-SAGW,2,Panel B: Saguaro West,47,"Saguaro West, distance band <=1 km",green_space,E_environment,binary,binary,-0.11,,,0.063,,,,medium,"Model 1 distance-band dummy (<=1 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Saguaro West; Tucson AZ, 1994-2019; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-SAGW,2,Panel B: Saguaro West,47,"Saguaro West, distance band 1-2 km",green_space,E_environment,binary,binary,-0.062,,,0.197,,,,medium,"Model 1 distance-band dummy (1-2 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Saguaro West; Tucson AZ, 1994-2019; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-SAGW,2,Panel B: Saguaro West,47,"Saguaro West, distance band 2-3 km",green_space,E_environment,binary,binary,-0.026,,,0.567,,,,medium,"Model 1 distance-band dummy (2-3 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Saguaro West; Tucson AZ, 1994-2019; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-SAGW,2,Panel B: Saguaro West,47,"Saguaro West, distance band 3-5 km",green_space,E_environment,binary,binary,-0.006,,,0.87,,,,medium,"Model 1 distance-band dummy (3-5 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Saguaro West; Tucson AZ, 1994-2019; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-CORO,2,Panel B: Coronado,47,"Coronado, distance band <=1 km",green_space,E_environment,binary,binary,0.141,,,0.006,,,,medium,"Model 1 distance-band dummy (<=1 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Coronado; Tucson AZ, 1994-2019 (Coronado National Forest, not a national park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-CORO,2,Panel B: Coronado,47,"Coronado, distance band 1-2 km",green_space,E_environment,binary,binary,0.099,,,0.008,,,,medium,"Model 1 distance-band dummy (1-2 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Coronado; Tucson AZ, 1994-2019 (Coronado National Forest, not a national park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-CORO,2,Panel B: Coronado,47,"Coronado, distance band 2-3 km",green_space,E_environment,binary,binary,0.083,,,0.003,,,,medium,"Model 1 distance-band dummy (2-3 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Coronado; Tucson AZ, 1994-2019 (Coronado National Forest, not a national park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-CORO,2,Panel B: Coronado,47,"Coronado, distance band 3-5 km",green_space,E_environment,binary,binary,0.051,,,0.01,,,,medium,"Model 1 distance-band dummy (3-5 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Coronado; Tucson AZ, 1994-2019 (Coronado National Forest, not a national park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-TUCS,2,Panel B: Tucson,47,"Tucson, distance band <=1 km",green_space,E_environment,binary,binary,-0.021,,,0.615,,,,medium,"Model 1 distance-band dummy (<=1 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Tucson; Tucson AZ, 1994-2019 (Tucson Mountain Park, county park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-TUCS,2,Panel B: Tucson,47,"Tucson, distance band 1-2 km",green_space,E_environment,binary,binary,-0.033,,,0.426,,,,medium,"Model 1 distance-band dummy (1-2 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Tucson; Tucson AZ, 1994-2019 (Tucson Mountain Park, county park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-TUCS,2,Panel B: Tucson,47,"Tucson, distance band 2-3 km",green_space,E_environment,binary,binary,-0.043,,,0.167,,,,medium,"Model 1 distance-band dummy (2-3 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Tucson; Tucson AZ, 1994-2019 (Tucson Mountain Park, county park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-TUCS,2,Panel B: Tucson,47,"Tucson, distance band 3-5 km",green_space,E_environment,binary,binary,-0.021,,,0.372,,,,medium,"Model 1 distance-band dummy (3-5 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,283046.0,,p,"Model 1 (constant coefficients): Tucson; Tucson AZ, 1994-2019 (Tucson Mountain Park, county park); hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-GRSM-TN,2,Panel B: Tennessee,47,"Tennessee, distance band <=1 km",green_space,E_environment,binary,binary,-5.535,,,0.249,,,,medium,"Model 1 distance-band dummy (<=1 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,358668.0,,p,"Model 1 (constant coefficients): Great Smoky Mountains NP - Tennessee; Tennessee side, 1994-2021; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-GRSM-TN,2,Panel B: Tennessee,47,"Tennessee, distance band 1-2 km",green_space,E_environment,binary,binary,-4.067,,,0.398,,,,medium,"Model 1 distance-band dummy (1-2 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,358668.0,,p,"Model 1 (constant coefficients): Great Smoky Mountains NP - Tennessee; Tennessee side, 1994-2021; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-GRSM-TN,2,Panel B: Tennessee,47,"Tennessee, distance band 2-3 km",green_space,E_environment,binary,binary,-6.154,,,0.078,,,,medium,"Model 1 distance-band dummy (2-3 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,358668.0,,p,"Model 1 (constant coefficients): Great Smoky Mountains NP - Tennessee; Tennessee side, 1994-2021; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-GRSM-TN,2,Panel B: Tennessee,47,"Tennessee, distance band 3-5 km",green_space,E_environment,binary,binary,-5.5,,,0.024,,,,medium,"Model 1 distance-band dummy (3-5 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,358668.0,,p,"Model 1 (constant coefficients): Great Smoky Mountains NP - Tennessee; Tennessee side, 1994-2021; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-GRSM-NC,2,Panel B: North Carolina,47,"North Carolina, distance band <=5 km",green_space,E_environment,binary,binary,-24.04,,,0.0,,,,medium,"Model 1 distance-band dummy (<=5 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,49043.0,,p,"Model 1 (constant coefficients): Great Smoky Mountains NP - North Carolina; North Carolina side, 2005-2021; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7,ebd764414d12429dec7ee666a2f902c6faad3bb7:T2B-GRSM-NC,2,Panel B: North Carolina,47,"North Carolina, distance band 5-10 km",green_space,E_environment,binary,binary,-12.846,,,0.02,,,,medium,"Model 1 distance-band dummy (5-10 km to park) vs houses outside the farthest band; values for Boston and Tucson sites appear to be log-point coefficients (delta2), whereas Great Smoky Mountains values are in percent; table note says 'percent difference in house prices ... (the estimate of delta2 in Model 1)' - scale ambiguous, recorded as printed",log real sale price of single-family home (CPI less shelter deflated),log,FE_panel,49043.0,,p,"Model 1 (constant coefficients): Great Smoky Mountains NP - North Carolina; North Carolina side, 2005-2021; hedonic controls (house characteristics X, distances to lake/river/highway, PROT_5000 share of protected open space within 5 km) and block group + year-month fixed effects included but coefficients not reported; p-value printed next to each estimate"
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,LR,storeys,A_structural,binary,binary,0.0486,,,,b,,,high,"low-rise building (11-12 storeys) dummy vs high-rise (25-26 storeys); building height, not unit floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,LR,storeys,A_structural,binary,binary,0.0391,,,,b,,,high,"low-rise building (11-12 storeys) dummy vs high-rise (25-26 storeys); building height, not unit floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,LR,storeys,A_structural,binary,binary,0.1092,,,,a,,,high,"low-rise building (11-12 storeys) dummy vs high-rise (25-26 storeys); building height, not unit floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,LR,storeys,A_structural,binary,binary,0.106,,,,b,,,high,"low-rise building (11-12 storeys) dummy vs high-rise (25-26 storeys); building height, not unit floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,FL,floor_level,A_structural,level,count,0.1181,,,,b,,,high,"floor level 1-10; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,FL,floor_level,A_structural,level,count,0.128,,,,b,,,high,"floor level 1-10; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,FL2,floor_level,A_structural,squared,count,-0.0082,,,,b,,,high,"floor level squared; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,FL2,floor_level,A_structural,squared,count,-0.0084,,,,b,,,high,"floor level squared; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(2),floor_level,A_structural,dummy,binary,0.246,,,,b,,,high,"dummy for floor 2 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(2),floor_level,A_structural,dummy,binary,0.2888,,,,b,,,high,"dummy for floor 2 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(3),floor_level,A_structural,dummy,binary,0.2966,,,,b,,,high,"dummy for floor 3 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(3),floor_level,A_structural,dummy,binary,0.3455,,,,b,,,high,"dummy for floor 3 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(4),floor_level,A_structural,dummy,binary,0.3214,,,,b,,,high,"dummy for floor 4 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(4),floor_level,A_structural,dummy,binary,0.4023,,,,b,,,high,"dummy for floor 4 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(5),floor_level,A_structural,dummy,binary,0.3345,,,,b,,,high,"dummy for floor 5 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(5),floor_level,A_structural,dummy,binary,0.3566,,,,b,,,high,"dummy for floor 5 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(6),floor_level,A_structural,dummy,binary,0.349,,,,b,,,high,"dummy for floor 6 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(6),floor_level,A_structural,dummy,binary,0.4168,,,,b,,,high,"dummy for floor 6 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(7),floor_level,A_structural,dummy,binary,0.3739,,,,b,,,high,"dummy for floor 7 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(7),floor_level,A_structural,dummy,binary,0.3993,,,,b,,,high,"dummy for floor 7 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(8),floor_level,A_structural,dummy,binary,0.3691,,,,b,,,high,"dummy for floor 8 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(8),floor_level,A_structural,dummy,binary,0.4365,,,,b,,,high,"dummy for floor 8 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(9),floor_level,A_structural,dummy,binary,0.3662,,,,b,,,high,"dummy for floor 9 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(9),floor_level,A_structural,dummy,binary,0.4075,,,,b,,,high,"dummy for floor 9 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,FL(10),floor_level,A_structural,dummy,binary,0.3611,,,,b,,,high,"dummy for floor 10 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,FL(10),floor_level,A_structural,dummy,binary,0.468,,,,b,,,high,"dummy for floor 10 vs 1st floor; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,AGE,age,A_structural,level,months,0.0022,,,,,,,high,"building age in months; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,AGE,age,A_structural,level,months,0.0017,,,,,,,high,"building age in months; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,AGE,age,A_structural,level,months,0.0023,,,,,,,high,"building age in months; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,AGE,age,A_structural,level,months,-0.0017,,,,,,,high,"building age in months; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,SIZE,living_area,A_structural,level,sqft,0.0034,,,,b,,,high,"gross floor area in square feet; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,SIZE,living_area,A_structural,level,sqft,0.0033,,,,b,,,high,"gross floor area in square feet; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,SIZE,living_area,A_structural,level,sqft,0.0034,,,,b,,,high,"gross floor area in square feet; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,SIZE,living_area,A_structural,level,sqft,0.0033,,,,b,,,high,"gross floor area in square feet; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,RDV,view,E_environment,binary,binary,-0.0935,,,,b,,,high,"road view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,RDV,view,E_environment,binary,binary,-0.0997,,,,b,,,high,"road view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,RDV,view,E_environment,binary,binary,-0.0966,,,,b,,,high,"road view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,RDV,view,E_environment,binary,binary,-0.1059,,,,b,,,high,"road view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,GDV,view,E_environment,binary,binary,0.042,,,,b,,,high,"podium garden view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,GDV,view,E_environment,binary,binary,0.047,,,,b,,,high,"podium garden view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,GDV,view,E_environment,binary,binary,0.0415,,,,b,,,high,"podium garden view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,GDV,view,E_environment,binary,binary,0.0436,,,,b,,,high,"podium garden view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,DPV,view,E_environment,binary,binary,-0.0817,,,,b,,,high,"MTR depot view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,DPV,view,E_environment,binary,binary,-0.0839,,,,b,,,high,"MTR depot view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,DPV,view,E_environment,binary,binary,-0.0816,,,,b,,,high,"MTR depot view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,DPV,view,E_environment,binary,binary,-0.081,,,,b,,,high,"MTR depot view dummy vs building view; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,MTRD,transit_distance,D_location,level,m,-2.68e-05,,,,,,,medium,"distance to MTR station in metres; printed as -2.68 x 10^-5 etc., insignificant; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,MTRD,transit_distance,D_location,level,m,-9.96e-05,,,,,,,medium,"distance to MTR station in metres; printed as -2.68 x 10^-5 etc., insignificant; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,MTRD,transit_distance,D_location,level,m,-2.13e-05,,,,,,,medium,"distance to MTR station in metres; printed as -2.68 x 10^-5 etc., insignificant; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,MTRD,transit_distance,D_location,level,m,-8.35e-05,,,,,,,medium,"distance to MTR station in metres; printed as -2.68 x 10^-5 etc., insignificant; not significant at 5% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c1,4,Eq. 4a,9,INDEX,other,other,level,index,0.0198,,,,b,,,high,"monthly residential price index (RVD, 1999 = 100), time control; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.852,none,quadratic floor-level specification
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c2,4,Eq. 4b,9,INDEX,other,other,level,index,0.0199,,,,b,,,high,"monthly residential price index (RVD, 1999 = 100), time control; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8671,none,floor-level step dummies (base floor 1)
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c3,4,Eq. 5a,9,INDEX,other,other,level,index,0.0198,,,,b,,,high,"monthly residential price index (RVD, 1999 = 100), time control; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8532,none,quadratic floor specification with LR x FL and LR x FL2 interactions
ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a,ebefda640bee5302366b339dc1624f32b129581a:T4-c4,4,Eq. 5b,9,INDEX,other,other,level,index,0.0199,,,,b,,,high,"monthly residential price index (RVD, 1999 = 100), time control; significance letters: a = 5%, b = 1% (White SEs, not printed)",transaction price (HK$ million),level,OLS,807.0,0.8698,none,floor dummies with LR x FL(j) interactions
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,age,age,A_structural,level,years,-0.0068,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,age,age,A_structural,level,years,-0.0074,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,age,age,A_structural,level,years,-0.0076,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,age,age,A_structural,level,years,-0.0049,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,age,age,A_structural,level,years,-0.007,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,age,age,A_structural,level,years,-0.0073,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,age,age,A_structural,level,years,-0.0076,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,age,age,A_structural,level,years,-0.005,0.0001,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,age,age,A_structural,level,years,-0.0056,0.0003,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,age,age,A_structural,level,years,-0.0074,0.0002,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,age,age,A_structural,level,years,-0.0074,0.0002,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,age,age,A_structural,level,years,-0.0046,0.0002,,,,,,high,Age of the building in years,ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,age2,age,A_structural,squared,years squared,0.0,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,age2,age,A_structural,squared,years squared,0.0001,0.0,,,,,,high,"Age squared; printed to 4 decimals (0.0001 / 0.0000), SE printed 0.0000",ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0153,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0167,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0181,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0172,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.015,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0165,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0179,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0169,0.0001,,,,,,high,,ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0167,0.0003,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.018,0.0003,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.02,0.0003,,,,,,high,,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,area,living_area,A_structural,level,m2 (unit not stated; 'area of dwelling'),0.0188,0.0003,,,,,,high,,ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0303,0.0015,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.031,0.0014,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0244,0.0016,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0297,0.0014,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0308,0.0016,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0322,0.0015,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0247,0.0018,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0306,0.0015,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0183,0.0046,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0219,0.0044,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0233,0.0046,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,lnairbnb,other,other,log,count (monthly number of active Airbnb apartments in the district),0.0228,0.004,,,,,,high,Short-term rental (Airbnb) supply in district; elasticity of rent w.r.t. Airbnb listings,ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,lncc,cbd_distance,D_location,log,m,-0.08,0.0024,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,lncc,cbd_distance,D_location,log,m,-0.096,0.0021,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,lncc,cbd_distance,D_location,log,m,-0.1305,0.0025,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,lncc,cbd_distance,D_location,log,m,-0.1125,0.0021,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,lncc,cbd_distance,D_location,log,m,-0.0799,0.0026,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,lncc,cbd_distance,D_location,log,m,-0.0944,0.0023,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,lncc,cbd_distance,D_location,log,m,-0.1302,0.0027,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,lncc,cbd_distance,D_location,log,m,-0.1111,0.0023,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,lncc,cbd_distance,D_location,log,m,-0.0894,0.0065,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,lncc,cbd_distance,D_location,log,m,-0.1088,0.006,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,lncc,cbd_distance,D_location,log,m,-0.1359,0.0063,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,lncc,cbd_distance,D_location,log,m,-0.1232,0.0055,,,,,,high,Log distance to the city centre in metres,ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0179,0.0014,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0168,0.0012,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0179,0.0012,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0123,0.0012,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0191,0.0015,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0181,0.0012,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0191,0.0013,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0137,0.0012,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0066,0.0043,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.006,0.0038,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0082,0.0036,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,lnsubway,transit_distance,D_location,log,m (unit not stated; presumably metres),-0.0024,0.0035,,,,,,high,Log distance to the nearest subway station,ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,lnuga,green_space,E_environment,log,m,-0.0043,0.0012,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,lnuga,green_space,E_environment,log,m,-0.0069,0.0011,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,lnuga,green_space,E_environment,log,m,-0.013,0.0012,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,lnuga,green_space,E_environment,log,m,-0.0093,0.0011,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,lnuga,green_space,E_environment,log,m,-0.0037,0.0013,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,lnuga,green_space,E_environment,log,m,-0.007,0.0011,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,lnuga,green_space,E_environment,log,m,-0.0139,0.0013,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,lnuga,green_space,E_environment,log,m,-0.0091,0.0011,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,lnuga,green_space,E_environment,log,m,-0.01,0.0035,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,lnuga,green_space,E_environment,log,m,-0.0066,0.0033,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,lnuga,green_space,E_environment,log,m,-0.0065,0.0033,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,lnuga,green_space,E_environment,log,m,-0.0115,0.003,,,,,,high,Log distance to the nearest urban green area in metres,ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c1,B1,1,10,quality,condition,A_structural,level,ordinal 1-5,0.0456,0.0015,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c2,B1,2,10,quality,condition,A_structural,level,ordinal 1-5,0.0462,0.0013,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c3,B1,3,10,quality,condition,A_structural,level,ordinal 1-5,0.0417,0.0016,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,41246.0,,se,January 2017-December 2020; quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c4,B1,4,10,quality,condition,A_structural,level,ordinal 1-5,0.052,0.0013,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,OLS,41246.0,0.8184,se,January 2017-December 2020; OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c5,B1,5,10,quality,condition,A_structural,level,ordinal 1-5,0.0458,0.0016,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c6,B1,6,10,quality,condition,A_structural,level,ordinal 1-5,0.0473,0.0014,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c7,B1,7,10,quality,condition,A_structural,level,ordinal 1-5,0.0427,0.0018,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,35824.0,,se,January 2017-March 2020 (before lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c8,B1,8,10,quality,condition,A_structural,level,ordinal 1-5,0.0521,0.0014,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,OLS,35824.0,0.817,se,January 2017-March 2020 (before lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c9,B1,9,10,quality,condition,A_structural,level,ordinal 1-5,0.0469,0.0041,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.25; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c10,B1,10,10,quality,condition,A_structural,level,ordinal 1-5,0.0418,0.0038,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.50 (median); apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c11,B1,11,10,quality,condition,A_structural,level,ordinal 1-5,0.034,0.0038,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,quantile,5422.0,,se,April 2020-December 2020 (after lockdown); quantile 0.75; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501,ede799d5a89d38a16239a4734a2cb00510a8c501:TB1-c12,B1,12,10,quality,condition,A_structural,level,ordinal 1-5,0.0504,0.0035,,,,,,high,Quality of the apartment (values 1-5),ln asking rent (long-term rental offers),log,OLS,5422.0,0.8156,se,April 2020-December 2020 (after lockdown); OLS; apartments offered for long-term rent in the 7 Warsaw districts with Airbnb activity; district ('area') effects and year-quarter time dummies q2-q16 included
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Days BWNs_year,other,other,level,days,-0.0664,0.0173,,,***,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Days BWNs_year,other,other,level,days,-0.0271,0.0121,,,**,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Days BWNs_year,other,other,level,days,-0.0155,0.0095,,,,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Days BWNs_year,other,other,level,days,-0.0075,0.0048,,,,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Days BWNs_year,other,other,level,days,-0.0064,0.0033,,,**,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Days BWNs_year,other,other,level,days,-0.0049,0.0025,,,**,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Days BWNs_year,other,other,level,days,-0.0048,0.0034,,,,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Days BWNs_year,other,other,level,days,-0.0015,0.0033,,,,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Days BWNs_year,other,other,level,days,0.0009,0.003,,,,,,high,Water-supply unreliability: number of days the house was under a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,SQFT,living_area,A_structural,level,sqft,0.0003,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Story height,storeys,A_structural,level,count,-0.0575,0.0306,,,*,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Story height,storeys,A_structural,level,count,-0.0303,0.0283,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Story height,storeys,A_structural,level,count,-0.046,0.0244,,,*,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Story height,storeys,A_structural,level,count,-0.0413,0.0192,,,**,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Story height,storeys,A_structural,level,count,-0.0323,0.0173,,,*,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Story height,storeys,A_structural,level,count,-0.0266,0.0198,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Story height,storeys,A_structural,level,count,-0.0092,0.0243,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Story height,storeys,A_structural,level,count,0.0052,0.0225,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Story height,storeys,A_structural,level,count,-0.0063,0.0222,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Construction material,roof_materials,A_structural,binary,binary,-0.0672,0.0286,,,**,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Construction material,roof_materials,A_structural,binary,binary,-0.0668,0.0231,,,***,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Construction material,roof_materials,A_structural,binary,binary,-0.0636,0.0185,,,***,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Construction material,roof_materials,A_structural,binary,binary,-0.0525,0.0154,,,***,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Construction material,roof_materials,A_structural,binary,binary,-0.0297,0.0141,,,**,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Construction material,roof_materials,A_structural,binary,binary,-0.0298,0.016,,,*,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Construction material,roof_materials,A_structural,binary,binary,-0.0285,0.0168,,,*,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Construction material,roof_materials,A_structural,binary,binary,-0.0256,0.0174,,,,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Construction material,roof_materials,A_structural,binary,binary,-0.0311,0.0159,,,*,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Physical condition,condition,A_structural,level,index,0.2683,0.0281,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Physical condition,condition,A_structural,level,index,0.2637,0.0217,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Physical condition,condition,A_structural,level,index,0.2266,0.0187,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Physical condition,condition,A_structural,level,index,0.1998,0.0146,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Physical condition,condition,A_structural,level,index,0.1758,0.0156,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Physical condition,condition,A_structural,level,index,0.1634,0.0158,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Physical condition,condition,A_structural,level,index,0.1472,0.0181,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Physical condition,condition,A_structural,level,index,0.1373,0.0167,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Physical condition,condition,A_structural,level,index,0.1473,0.0159,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Quality grade factor,condition,A_structural,level,index,0.4243,0.1245,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Quality grade factor,condition,A_structural,level,index,0.3806,0.0792,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Quality grade factor,condition,A_structural,level,index,0.3937,0.0677,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Quality grade factor,condition,A_structural,level,index,0.3875,0.0544,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Quality grade factor,condition,A_structural,level,index,0.3909,0.0488,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Quality grade factor,condition,A_structural,level,index,0.3472,0.0507,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Quality grade factor,condition,A_structural,level,index,0.364,0.0668,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Quality grade factor,condition,A_structural,level,index,0.4398,0.0532,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Quality grade factor,condition,A_structural,level,index,0.4374,0.0657,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Age,age,A_structural,level,years,-0.0025,0.0007,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Age,age,A_structural,level,years,-0.0025,0.0005,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Age,age,A_structural,level,years,-0.0026,0.0005,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Age,age,A_structural,level,years,-0.0024,0.0003,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Age,age,A_structural,level,years,-0.0025,0.0004,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Age,age,A_structural,level,years,-0.0026,0.0004,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Age,age,A_structural,level,years,-0.0025,0.0004,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Age,age,A_structural,level,years,-0.0021,0.0004,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Age,age,A_structural,level,years,-0.0016,0.0003,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Bedrooms,bedrooms,A_structural,level,count,0.0235,0.0264,,,,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Bedrooms,bedrooms,A_structural,level,count,0.0198,0.0212,,,,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Bedrooms,bedrooms,A_structural,level,count,0.0411,0.0164,,,**,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Bedrooms,bedrooms,A_structural,level,count,0.0487,0.015,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Bedrooms,bedrooms,A_structural,level,count,0.0518,0.0126,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Bedrooms,bedrooms,A_structural,level,count,0.0463,0.0158,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Bedrooms,bedrooms,A_structural,level,count,0.0319,0.0152,,,**,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Bedrooms,bedrooms,A_structural,level,count,0.0448,0.014,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Bedrooms,bedrooms,A_structural,level,count,0.0474,0.0133,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,Total bathrooms,bathrooms,A_structural,level,count,0.0059,0.032,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,Total bathrooms,bathrooms,A_structural,level,count,0.0258,0.0192,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,Total bathrooms,bathrooms,A_structural,level,count,0.0372,0.0153,,,**,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,Total bathrooms,bathrooms,A_structural,level,count,0.0572,0.0134,,,***,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,Total bathrooms,bathrooms,A_structural,level,count,0.034,0.0123,,,***,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,Total bathrooms,bathrooms,A_structural,level,count,0.028,0.0142,,,**,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,Total bathrooms,bathrooms,A_structural,level,count,0.0279,0.0145,,,*,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,Total bathrooms,bathrooms,A_structural,level,count,0.0152,0.0149,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,Total bathrooms,bathrooms,A_structural,level,count,0.0152,0.0178,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,21,AC,air_conditioning,A_structural,binary,binary,0.2074,0.054,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,21,AC,air_conditioning,A_structural,binary,binary,0.2328,0.0335,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,21,AC,air_conditioning,A_structural,binary,binary,0.2202,0.0309,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,21,AC,air_conditioning,A_structural,binary,binary,0.2217,0.025,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,21,AC,air_conditioning,A_structural,binary,binary,0.2169,0.0244,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,21,AC,air_conditioning,A_structural,binary,binary,0.2099,0.0259,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,21,AC,air_conditioning,A_structural,binary,binary,0.1711,0.0233,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,21,AC,air_conditioning,A_structural,binary,binary,0.1615,0.0271,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,21,AC,air_conditioning,A_structural,binary,binary,0.0909,0.0371,,,**,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Fire place,fireplace,B_interior,binary,binary,0.1527,0.0362,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Fire place,fireplace,B_interior,binary,binary,0.1059,0.022,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Fire place,fireplace,B_interior,binary,binary,0.113,0.0191,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Fire place,fireplace,B_interior,binary,binary,0.1052,0.0138,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Fire place,fireplace,B_interior,binary,binary,0.0905,0.0158,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Fire place,fireplace,B_interior,binary,binary,0.0867,0.015,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Fire place,fireplace,B_interior,binary,binary,0.0799,0.0163,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Fire place,fireplace,B_interior,binary,binary,0.0667,0.0176,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Fire place,fireplace,B_interior,binary,binary,0.0553,0.0153,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Basement garage,garage,A_structural,binary,binary,0.0573,0.0263,,,**,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Basement garage,garage,A_structural,binary,binary,0.0169,0.0203,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Basement garage,garage,A_structural,binary,binary,0.0298,0.0168,,,*,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Basement garage,garage,A_structural,binary,binary,0.0159,0.014,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Basement garage,garage,A_structural,binary,binary,0.0113,0.0144,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Basement garage,garage,A_structural,binary,binary,0.0142,0.0144,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Basement garage,garage,A_structural,binary,binary,0.0085,0.0185,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Basement garage,garage,A_structural,binary,binary,0.0032,0.0172,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Basement garage,garage,A_structural,binary,binary,-0.0058,0.0179,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Lot size,lot_size,A_structural,level,acres,-0.0009,0.0075,,,,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Lot size,lot_size,A_structural,level,acres,0.0088,0.0065,,,,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Lot size,lot_size,A_structural,level,acres,0.0112,0.0044,,,**,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Lot size,lot_size,A_structural,level,acres,0.0105,0.005,,,**,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Lot size,lot_size,A_structural,level,acres,0.0117,0.0065,,,*,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Lot size,lot_size,A_structural,level,acres,0.0108,0.0073,,,,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Lot size,lot_size,A_structural,level,acres,0.0244,0.0102,,,**,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Lot size,lot_size,A_structural,level,acres,0.0212,0.01,,,**,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Lot size,lot_size,A_structural,level,acres,0.0381,0.007,,,***,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Sidewalk,other,other,binary,binary,-0.0753,0.073,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Sidewalk,other,other,binary,binary,-0.0562,0.0529,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Sidewalk,other,other,binary,binary,-0.0216,0.0462,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Sidewalk,other,other,binary,binary,-0.035,0.0325,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Sidewalk,other,other,binary,binary,-0.0415,0.0291,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Sidewalk,other,other,binary,binary,-0.0376,0.0298,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Sidewalk,other,other,binary,binary,-0.0559,0.0315,,,*,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Sidewalk,other,other,binary,binary,-0.0885,0.0298,,,***,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Sidewalk,other,other,binary,binary,-0.0933,0.041,,,**,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Fence,other,other,binary,binary,0.1351,0.0308,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Fence,other,other,binary,binary,0.1127,0.0249,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Fence,other,other,binary,binary,0.0967,0.016,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Fence,other,other,binary,binary,0.0944,0.0155,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Fence,other,other,binary,binary,0.0903,0.013,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Fence,other,other,binary,binary,0.0912,0.0163,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Fence,other,other,binary,binary,0.0764,0.0161,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Fence,other,other,binary,binary,0.0659,0.0156,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Fence,other,other,binary,binary,0.0434,0.0161,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Crime,crime,F_neighbourhood,level,index,-0.0004,0.001,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Crime,crime,F_neighbourhood,level,index,-0.0004,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Crime,crime,F_neighbourhood,level,index,-0.0007,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Crime,crime,F_neighbourhood,level,index,-0.0005,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Crime,crime,F_neighbourhood,level,index,-0.0002,0.0004,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Crime,crime,F_neighbourhood,level,index,-0.0005,0.0004,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Crime,crime,F_neighbourhood,level,index,-0.0008,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Crime,crime,F_neighbourhood,level,index,-0.0005,0.0004,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Crime,crime,F_neighbourhood,level,index,-0.0006,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,School quality,school_quality,F_neighbourhood,level,share,0.0014,0.0014,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,School quality,school_quality,F_neighbourhood,level,share,0.0001,0.0011,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,School quality,school_quality,F_neighbourhood,level,share,-0.0006,0.0008,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,School quality,school_quality,F_neighbourhood,level,share,-0.0014,0.0007,,,**,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,School quality,school_quality,F_neighbourhood,level,share,-0.001,0.0007,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,School quality,school_quality,F_neighbourhood,level,share,-0.001,0.0008,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,School quality,school_quality,F_neighbourhood,level,share,-0.0009,0.001,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,School quality,school_quality,F_neighbourhood,level,share,-0.0005,0.0007,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,School quality,school_quality,F_neighbourhood,level,share,-0.0007,0.0007,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.0046,0.0116,,,,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.007,0.0085,,,,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.0156,0.0072,,,**,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.0204,0.0061,,,***,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.0139,0.0058,,,**,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.0103,0.0062,,,*,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.0154,0.0064,,,**,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.0128,0.0064,,,**,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Distance to highway exit,highway_distance,D_location,level,miles,-0.014,0.0067,,,**,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.1,A1,0.1,22,Distance to FSU,university_distance,D_location,level,miles,-0.0093,0.0106,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.2,A1,0.2,22,Distance to FSU,university_distance,D_location,level,miles,-0.0115,0.0078,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.3,A1,0.3,22,Distance to FSU,university_distance,D_location,level,miles,-0.0072,0.006,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.4,A1,0.4,22,Distance to FSU,university_distance,D_location,level,miles,0.0005,0.0054,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.5,A1,0.5,22,Distance to FSU,university_distance,D_location,level,miles,-0.0016,0.0052,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.6,A1,0.6,22,Distance to FSU,university_distance,D_location,level,miles,-0.0044,0.0052,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.7,A1,0.7,22,Distance to FSU,university_distance,D_location,level,miles,-0.0024,0.0056,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.8,A1,0.8,22,Distance to FSU,university_distance,D_location,level,miles,0.0015,0.0061,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA1-q0.9,A1,0.9,22,Distance to FSU,university_distance,D_location,level,miles,0.0055,0.0067,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (1) with Days BWNs_year; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,BWN,other,other,binary,binary,-0.5392,0.0653,,,***,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,BWN,other,other,binary,binary,-0.2971,0.0483,,,***,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,BWN,other,other,binary,binary,-0.175,0.0265,,,***,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,BWN,other,other,binary,binary,-0.1017,0.0209,,,***,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,BWN,other,other,binary,binary,-0.0676,0.0171,,,***,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,BWN,other,other,binary,binary,-0.0509,0.0185,,,***,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,BWN,other,other,binary,binary,-0.0449,,,,**,,,medium,"Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest); printed SE '(0.0449)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,BWN,other,other,binary,binary,-0.0074,0.0205,,,,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,BWN,other,other,binary,binary,0.0077,0.0172,,,,,,high,Water-supply unreliability: 1 if house affected by a boil water notice in the year before sale (variable of interest),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,SQFT,living_area,A_structural,level,sqft,0.0003,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,SQFT,living_area,A_structural,level,sqft,0.0003,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; printed SE '(0.0002)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,SQFT,living_area,A_structural,level,sqft,0.0002,,,,***,,,medium,"Building area in square feet; SE printed as (0.0000), rounded to zero in source; set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Story height,storeys,A_structural,level,count,-0.0357,0.0372,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Story height,storeys,A_structural,level,count,-0.0317,0.0285,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Story height,storeys,A_structural,level,count,-0.0466,0.0205,,,**,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Story height,storeys,A_structural,level,count,-0.0374,0.0197,,,*,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Story height,storeys,A_structural,level,count,-0.0238,0.0217,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Story height,storeys,A_structural,level,count,-0.0326,0.0194,,,*,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Story height,storeys,A_structural,level,count,-0.0065,,,,,,,medium,"Story height (number of storeys, 1-3); printed SE '(0.0065)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Story height,storeys,A_structural,level,count,0.0089,0.0211,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Story height,storeys,A_structural,level,count,-0.0044,0.0208,,,,,,high,"Story height (number of storeys, 1-3)","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Construction material,roof_materials,A_structural,binary,binary,-0.078,0.0262,,,***,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Construction material,roof_materials,A_structural,binary,binary,-0.0762,0.0235,,,***,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Construction material,roof_materials,A_structural,binary,binary,-0.0519,0.0202,,,**,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Construction material,roof_materials,A_structural,binary,binary,-0.0567,0.0159,,,***,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Construction material,roof_materials,A_structural,binary,binary,-0.0407,0.0152,,,***,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Construction material,roof_materials,A_structural,binary,binary,-0.0311,0.0146,,,**,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Construction material,roof_materials,A_structural,binary,binary,-0.0275,,,,*,,,medium,"1 = Alum/Vinyl siding construction material, 0 otherwise; printed SE '(0.0275)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Construction material,roof_materials,A_structural,binary,binary,-0.0197,0.017,,,,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Construction material,roof_materials,A_structural,binary,binary,-0.0308,0.0151,,,**,,,high,"1 = Alum/Vinyl siding construction material, 0 otherwise","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Physical condition,condition,A_structural,level,index,0.2086,0.0238,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Physical condition,condition,A_structural,level,index,0.2265,0.0227,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Physical condition,condition,A_structural,level,index,0.2058,0.0173,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Physical condition,condition,A_structural,level,index,0.2014,0.0173,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Physical condition,condition,A_structural,level,index,0.1733,0.0176,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Physical condition,condition,A_structural,level,index,0.1622,0.0153,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Physical condition,condition,A_structural,level,index,0.1478,,,,***,,,medium,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly; printed SE '(0.1478)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Physical condition,condition,A_structural,level,index,0.1407,0.0166,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Physical condition,condition,A_structural,level,index,0.1474,0.0181,,,***,,,high,"Assessor physical condition ordinal 1 (unsound) to 6 (excellent), entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Quality grade factor,condition,A_structural,level,index,0.5079,0.0963,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Quality grade factor,condition,A_structural,level,index,0.4762,0.0734,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Quality grade factor,condition,A_structural,level,index,0.4752,0.0509,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Quality grade factor,condition,A_structural,level,index,0.4117,0.0578,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Quality grade factor,condition,A_structural,level,index,0.4025,0.0609,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Quality grade factor,condition,A_structural,level,index,0.3566,0.0585,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Quality grade factor,condition,A_structural,level,index,0.3477,,,,***,,,medium,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly; printed SE '(0.3477)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Quality grade factor,condition,A_structural,level,index,0.4225,0.0632,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Quality grade factor,condition,A_structural,level,index,0.4505,0.0692,,,***,,,high,"Assessor quality grade factor 0.5 (E=poor) to 2.5 (X=excellent), material and workmanship quality, entered linearly","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Age,age,A_structural,level,years,-0.0021,0.0006,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Age,age,A_structural,level,years,-0.0025,0.0005,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Age,age,A_structural,level,years,-0.0024,0.0004,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Age,age,A_structural,level,years,-0.0025,0.0005,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Age,age,A_structural,level,years,-0.0026,0.0004,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Age,age,A_structural,level,years,-0.0026,0.0003,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Age,age,A_structural,level,years,-0.0023,,,,***,,,medium,"Age of the house in years; printed SE '(0.0023)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Age,age,A_structural,level,years,-0.0023,0.0004,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Age,age,A_structural,level,years,-0.0017,0.0003,,,***,,,high,Age of the house in years,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Bedrooms,bedrooms,A_structural,level,count,0.0165,0.0161,,,,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Bedrooms,bedrooms,A_structural,level,count,0.024,0.0192,,,,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Bedrooms,bedrooms,A_structural,level,count,0.0406,0.0166,,,**,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Bedrooms,bedrooms,A_structural,level,count,0.0463,0.0165,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Bedrooms,bedrooms,A_structural,level,count,0.0447,0.0154,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Bedrooms,bedrooms,A_structural,level,count,0.0481,0.013,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Bedrooms,bedrooms,A_structural,level,count,0.0366,,,,**,,,medium,"printed SE '(0.0366)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Bedrooms,bedrooms,A_structural,level,count,0.0433,0.0128,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Bedrooms,bedrooms,A_structural,level,count,0.047,0.0141,,,***,,,high,,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Total bathrooms,bathrooms,A_structural,level,count,-0.0178,0.0211,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Total bathrooms,bathrooms,A_structural,level,count,0.021,0.0223,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Total bathrooms,bathrooms,A_structural,level,count,0.0406,0.0148,,,***,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Total bathrooms,bathrooms,A_structural,level,count,0.0454,0.0168,,,***,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Total bathrooms,bathrooms,A_structural,level,count,0.0335,0.0118,,,***,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Total bathrooms,bathrooms,A_structural,level,count,0.0273,0.0141,,,*,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Total bathrooms,bathrooms,A_structural,level,count,0.037,,,,***,,,medium,"Total bathrooms (full + half); printed SE '(0.0370)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Total bathrooms,bathrooms,A_structural,level,count,0.0148,0.0172,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Total bathrooms,bathrooms,A_structural,level,count,0.0143,0.0153,,,,,,high,Total bathrooms (full + half),"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,AC,air_conditioning,A_structural,binary,binary,0.1847,0.0347,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,AC,air_conditioning,A_structural,binary,binary,0.2161,0.0372,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,AC,air_conditioning,A_structural,binary,binary,0.2305,0.0272,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,AC,air_conditioning,A_structural,binary,binary,0.2244,0.0271,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,AC,air_conditioning,A_structural,binary,binary,0.2281,0.0268,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,AC,air_conditioning,A_structural,binary,binary,0.2081,0.0295,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,AC,air_conditioning,A_structural,binary,binary,0.1684,,,,***,,,medium,"1 = central heating with A/C; printed SE '(0.1684)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,AC,air_conditioning,A_structural,binary,binary,0.1468,0.0287,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,AC,air_conditioning,A_structural,binary,binary,0.0936,0.0334,,,***,,,high,1 = central heating with A/C,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Fire place,fireplace,B_interior,binary,binary,0.1368,0.026,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Fire place,fireplace,B_interior,binary,binary,0.1306,0.0234,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Fire place,fireplace,B_interior,binary,binary,0.1319,0.0204,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Fire place,fireplace,B_interior,binary,binary,0.1094,0.0159,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Fire place,fireplace,B_interior,binary,binary,0.0972,0.0149,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Fire place,fireplace,B_interior,binary,binary,0.0896,0.0159,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Fire place,fireplace,B_interior,binary,binary,0.0836,,,,***,,,medium,"1 = wood-burning fireplace; printed SE '(0.0836)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Fire place,fireplace,B_interior,binary,binary,0.077,0.0165,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Fire place,fireplace,B_interior,binary,binary,0.0604,0.0171,,,***,,,high,1 = wood-burning fireplace,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,23,Basement garage,garage,A_structural,binary,binary,0.0209,0.0253,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,23,Basement garage,garage,A_structural,binary,binary,0.0326,0.0214,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,23,Basement garage,garage,A_structural,binary,binary,0.0232,0.0184,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,23,Basement garage,garage,A_structural,binary,binary,0.017,0.0179,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,23,Basement garage,garage,A_structural,binary,binary,0.0153,0.0151,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,23,Basement garage,garage,A_structural,binary,binary,0.0081,0.0153,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,23,Basement garage,garage,A_structural,binary,binary,-0.0006,,,,,,,medium,"1 = basement garage; printed SE '(0.0006)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,23,Basement garage,garage,A_structural,binary,binary,0.0019,0.0165,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,23,Basement garage,garage,A_structural,binary,binary,-0.0104,0.0181,,,,,,high,1 = basement garage,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,24,Lot size,lot_size,A_structural,level,acres,0.0022,0.0049,,,,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,24,Lot size,lot_size,A_structural,level,acres,0.0088,0.0066,,,,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,24,Lot size,lot_size,A_structural,level,acres,0.0122,0.005,,,**,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,24,Lot size,lot_size,A_structural,level,acres,0.0111,0.0047,,,**,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,24,Lot size,lot_size,A_structural,level,acres,0.01,0.0057,,,*,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,24,Lot size,lot_size,A_structural,level,acres,0.0112,0.0078,,,,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,24,Lot size,lot_size,A_structural,level,acres,0.022,,,,***,,,medium,"Lot size in acres; printed SE '(0.0220)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,24,Lot size,lot_size,A_structural,level,acres,0.0218,0.0099,,,**,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,24,Lot size,lot_size,A_structural,level,acres,0.0372,0.0074,,,***,,,high,Lot size in acres,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,24,Sidewalk,other,other,binary,binary,-0.0141,0.0515,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,24,Sidewalk,other,other,binary,binary,-0.0541,0.0345,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,24,Sidewalk,other,other,binary,binary,-0.0527,0.0443,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,24,Sidewalk,other,other,binary,binary,-0.0385,0.0334,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,24,Sidewalk,other,other,binary,binary,-0.0523,0.04,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,24,Sidewalk,other,other,binary,binary,-0.0374,0.0312,,,,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,24,Sidewalk,other,other,binary,binary,-0.0647,,,,**,,,medium,"1 = sidewalk present; printed SE '(0.0647)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,24,Sidewalk,other,other,binary,binary,-0.0876,0.0357,,,**,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,24,Sidewalk,other,other,binary,binary,-0.0889,0.0445,,,**,,,high,1 = sidewalk present,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,24,Fence,other,other,binary,binary,0.0783,0.0277,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,24,Fence,other,other,binary,binary,0.104,0.0226,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,24,Fence,other,other,binary,binary,0.1003,0.0176,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,24,Fence,other,other,binary,binary,0.0936,0.0182,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,24,Fence,other,other,binary,binary,0.0993,0.0156,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,24,Fence,other,other,binary,binary,0.0938,0.017,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,24,Fence,other,other,binary,binary,0.0729,,,,***,,,medium,"1 = fence around property; printed SE '(0.0729)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,24,Fence,other,other,binary,binary,0.066,0.0144,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,24,Fence,other,other,binary,binary,0.0514,0.0155,,,***,,,high,1 = fence around property,"ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,24,Crime,crime,F_neighbourhood,level,index,-0.0001,0.0008,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,24,Crime,crime,F_neighbourhood,level,index,-0.0009,0.0007,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,24,Crime,crime,F_neighbourhood,level,index,-0.0007,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,24,Crime,crime,F_neighbourhood,level,index,-0.0004,0.0004,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,24,Crime,crime,F_neighbourhood,level,index,-0.0001,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,24,Crime,crime,F_neighbourhood,level,index,-0.0004,0.0004,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,24,Crime,crime,F_neighbourhood,level,index,-0.0007,,,,*,,,medium,"Total crime index (US average = 100), block group 2010; printed SE '(0.0007)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,24,Crime,crime,F_neighbourhood,level,index,-0.0006,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,24,Crime,crime,F_neighbourhood,level,index,-0.0007,0.0005,,,,,,high,"Total crime index (US average = 100), block group 2010","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,24,School quality,school_quality,F_neighbourhood,level,share,0.0018,0.0012,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,24,School quality,school_quality,F_neighbourhood,level,share,2e-05,0.0011,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,24,School quality,school_quality,F_neighbourhood,level,share,-0.0008,0.0009,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,24,School quality,school_quality,F_neighbourhood,level,share,-0.0012,0.0008,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,24,School quality,school_quality,F_neighbourhood,level,share,-0.0005,0.0007,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,24,School quality,school_quality,F_neighbourhood,level,share,-0.0009,0.0007,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,24,School quality,school_quality,F_neighbourhood,level,share,-0.0008,,,,,,,medium,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points; printed SE '(0.0008)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,24,School quality,school_quality,F_neighbourhood,level,share,-0.0005,0.0007,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,24,School quality,school_quality,F_neighbourhood,level,share,-0.0005,0.0007,,,,,,high,"Percentage of elementary students at or above proficiency in math (attendance zone), in percentage points","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.0158,0.0104,,,,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.0151,0.0089,,,*,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.02,0.0067,,,***,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.022,0.0065,,,***,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.0123,0.0071,,,*,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.0124,0.0058,,,**,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.0146,,,,***,,,medium,"Distance to nearest I-79 highway interchange, miles; printed SE '(0.0146)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.0163,0.0061,,,***,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,24,Distance to highway exit,highway_distance,D_location,level,miles,-0.0141,0.0076,,,*,,,high,"Distance to nearest I-79 highway interchange, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.1,A2,0.1,24,Distance to FSU,university_distance,D_location,level,miles,-0.0024,0.0094,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.1; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.2,A2,0.2,24,Distance to FSU,university_distance,D_location,level,miles,-0.0072,0.0079,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.2; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.3,A2,0.3,24,Distance to FSU,university_distance,D_location,level,miles,-0.0032,0.0064,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.3; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.4,A2,0.4,24,Distance to FSU,university_distance,D_location,level,miles,0.0014,0.0061,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.4; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.5,A2,0.5,24,Distance to FSU,university_distance,D_location,level,miles,-0.0033,0.0061,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.5; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.6,A2,0.6,24,Distance to FSU,university_distance,D_location,level,miles,-0.0006,0.0048,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.6; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.7,A2,0.7,24,Distance to FSU,university_distance,D_location,level,miles,-0.0017,,,,,,,medium,"Distance to Fairmont State University, miles; printed SE '(0.0017)' equals |beta| for every row of the 0.7 column of Table A2 (typesetting error in source); SE not usable, set to null","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.7; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.8,A2,0.8,24,Distance to FSU,university_distance,D_location,level,miles,0.0012,0.0056,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.8; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee,eeedb48b06f3660101615bf3de6b27e1951880ee:TA2-q0.9,A2,0.9,24,Distance to FSU,university_distance,D_location,level,miles,0.0043,0.0065,,,,,,high,"Distance to Fairmont State University, miles","ln(sale price), USD",log,quantile,1985.0,,se,"Spatial quantile regression at quantile 0.9; model (2) with BWN dummy; year fixed effects included; no goodness-of-fit reported (qregspiv, McSpatial)"
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T5-P1,5,logP1,9,M2,living_area,A_structural,level,m2,0.0,,,,**,,,medium,"Floor area in m2; dependent variable is log price per m2; Coefficient printed as 0,00** (rounded to 2 decimals); no SE printed",log asked price per m2 (P1),per_m2,OLS,4670.0,0.346,none,Whole Croatia; 3 region dummies (base Zagreb) + quarterly dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T5-P1,5,logP1,9,ROOMS,bedrooms,A_structural,level,count,0.03,,,,***,,,medium,Number of rooms (not bedrooms); Rounded to 2 decimals; no SE printed,log asked price per m2 (P1),per_m2,OLS,4670.0,0.346,none,Whole Croatia; 3 region dummies (base Zagreb) + quarterly dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T5-P1,5,logP1,9,NEWBUILT,age,A_structural,dummy,binary,0.07,,,,***,,,medium,1 if dwelling sold in the construction year or within two years after construction; Rounded to 2 decimals; no SE printed,log asked price per m2 (P1),per_m2,OLS,4670.0,0.346,none,Whole Croatia; 3 region dummies (base Zagreb) + quarterly dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T5-P2,5,logP2,9,M2,living_area,A_structural,level,m2,0.0,,,,,,,medium,"Floor area in m2; dependent variable is log price per m2; Coefficient printed as 0,00 (rounded); no SE printed",log realized price per m2 (P2),per_m2,OLS,3616.0,0.29,none,Whole Croatia; 3 region dummies + quarterly dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T5-P2,5,logP2,9,ROOMS,bedrooms,A_structural,level,count,0.01,,,,***,,,medium,Number of rooms (not bedrooms); Rounded to 2 decimals; no SE printed,log realized price per m2 (P2),per_m2,OLS,3616.0,0.29,none,Whole Croatia; 3 region dummies + quarterly dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T5-P2,5,logP2,9,NEWBUILT,age,A_structural,dummy,binary,0.07,,,,***,,,medium,1 if dwelling sold in the construction year or within two years after construction; Rounded to 2 decimals; no SE printed,log realized price per m2 (P2),per_m2,OLS,3616.0,0.29,none,Whole Croatia; 3 region dummies + quarterly dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T9,9,LOG(P1),19,M2,living_area,A_structural,level,m2,-2.91e-07,3.7e-07,-0.785351,0.4323,,,,high,Floor area in m2; dependent variable is log price per m2; Coefficient of order 1e-6/1e-7: likely unit inconsistency of M2 in this subsample; recorded as printed,log asked price per m2 (P1),per_m2,OLS,3219.0,0.436415,se,Zagreb; 13 district dummies (base Donji grad) + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T9,9,LOG(P1),19,ROOMS,bedrooms,A_structural,level,count,0.007505,0.003754,1.99928,0.0457,,,,high,Number of rooms (not bedrooms),log asked price per m2 (P1),per_m2,OLS,3219.0,0.436415,se,Zagreb; 13 district dummies (base Donji grad) + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T9,9,LOG(P1),19,NEWBUILT,age,A_structural,dummy,binary,0.099279,0.007989,12.4275,0.0,,,,high,1 if dwelling sold in the construction year or within two years after construction,log asked price per m2 (P1),per_m2,OLS,3219.0,0.436415,se,Zagreb; 13 district dummies (base Donji grad) + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T10,10,LOG(P2),19,M2,living_area,A_structural,level,m2,-8.16e-07,3.1e-07,-2.628739,0.0086,,,,high,Floor area in m2; dependent variable is log price per m2; Coefficient of order 1e-6/1e-7: likely unit inconsistency of M2 in this subsample; recorded as printed,log realized price per m2 (P2),per_m2,OLS,2165.0,0.385131,se,Zagreb; 13 district dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T10,10,LOG(P2),19,ROOMS,bedrooms,A_structural,level,count,0.001888,0.004493,0.420138,0.6744,,,,high,Number of rooms (not bedrooms),log realized price per m2 (P2),per_m2,OLS,2165.0,0.385131,se,Zagreb; 13 district dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T10,10,LOG(P2),19,NEWBUILT,age,A_structural,dummy,binary,0.105327,0.010633,9.90529,0.0,,,,high,1 if dwelling sold in the construction year or within two years after construction,log realized price per m2 (P2),per_m2,OLS,2165.0,0.385131,se,Zagreb; 13 district dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T11,11,LOG(P1),20,M2,living_area,A_structural,level,m2,-0.001484,0.000729,-2.034951,0.0422,,,,high,Floor area in m2; dependent variable is log price per m2,log asked price per m2 (P1),per_m2,OLS,760.0,0.262737,se,Middle and South Adriatic; 3 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T11,11,LOG(P1),20,ROOMS,bedrooms,A_structural,level,count,0.026734,0.017047,1.568189,0.1173,,,,high,Number of rooms (not bedrooms),log asked price per m2 (P1),per_m2,OLS,760.0,0.262737,se,Middle and South Adriatic; 3 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T11,11,LOG(P1),20,NEWBUILT,age,A_structural,dummy,binary,0.097784,0.026151,3.739135,0.0002,,,,high,1 if dwelling sold in the construction year or within two years after construction,log asked price per m2 (P1),per_m2,OLS,760.0,0.262737,se,Middle and South Adriatic; 3 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T12,12,LOG(P2),21,M2,living_area,A_structural,level,m2,-0.001967,0.000884,-2.225607,0.0263,,,,high,Floor area in m2; dependent variable is log price per m2,log realized price per m2 (P2),per_m2,OLS,760.0,0.146218,se,Middle and South Adriatic; 3 county dummies + year dummies; White SE not stated in table header; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T12,12,LOG(P2),21,ROOMS,bedrooms,A_structural,level,count,0.010474,0.020836,0.502682,0.6153,,,,high,Number of rooms (not bedrooms),log realized price per m2 (P2),per_m2,OLS,760.0,0.146218,se,Middle and South Adriatic; 3 county dummies + year dummies; White SE not stated in table header; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T12,12,LOG(P2),21,NEWBUILT,age,A_structural,dummy,binary,0.074622,0.049487,1.507921,0.132,,,,high,1 if dwelling sold in the construction year or within two years after construction,log realized price per m2 (P2),per_m2,OLS,760.0,0.146218,se,Middle and South Adriatic; 3 county dummies + year dummies; White SE not stated in table header; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T13,13,LOG(P1),21,M2,living_area,A_structural,level,m2,-0.000919,0.000506,-1.815385,0.0703,,,,high,Floor area in m2; dependent variable is log price per m2,log asked price per m2 (P1),per_m2,OLS,371.0,0.380502,se,Istria and North Adriatic; 2 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T13,13,LOG(P1),21,ROOMS,bedrooms,A_structural,level,count,-0.034939,0.023296,-1.499773,0.1346,,,,high,Number of rooms (not bedrooms),log asked price per m2 (P1),per_m2,OLS,371.0,0.380502,se,Istria and North Adriatic; 2 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T13,13,LOG(P1),21,NEWBUILT,age,A_structural,dummy,binary,0.175797,0.042835,4.104006,0.0001,,,,high,1 if dwelling sold in the construction year or within two years after construction,log asked price per m2 (P1),per_m2,OLS,371.0,0.380502,se,Istria and North Adriatic; 2 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T14,14,LOG(P2),22,M2,living_area,A_structural,level,m2,-0.001171,0.000619,-1.89003,0.0596,,,,high,Floor area in m2; dependent variable is log price per m2,log realized price per m2 (P2),per_m2,OLS,371.0,0.356532,se,Istria and North Adriatic; 2 county dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T14,14,LOG(P2),22,ROOMS,bedrooms,A_structural,level,count,-0.03408,0.025415,-1.340913,0.1808,,,,high,Number of rooms (not bedrooms),log realized price per m2 (P2),per_m2,OLS,371.0,0.356532,se,Istria and North Adriatic; 2 county dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T14,14,LOG(P2),22,NEWBUILT,age,A_structural,dummy,binary,0.156879,0.042463,3.694459,0.0003,,,,high,1 if dwelling sold in the construction year or within two years after construction,log realized price per m2 (P2),per_m2,OLS,371.0,0.356532,se,Istria and North Adriatic; 2 county dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T15,15,LOG(P1),23,M2,living_area,A_structural,level,m2,-3.24e-06,8.75e-07,-3.697922,0.0003,,,,high,Floor area in m2; dependent variable is log price per m2; Coefficient of order 1e-6/1e-7: likely unit inconsistency of M2 in this subsample; recorded as printed,log asked price per m2 (P1),per_m2,OLS,320.0,0.331336,se,Other region; 6 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T15,15,LOG(P1),23,ROOMS,bedrooms,A_structural,level,count,-0.016824,0.011742,-1.432834,0.1529,,,,high,Number of rooms (not bedrooms),log asked price per m2 (P1),per_m2,OLS,320.0,0.331336,se,Other region; 6 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T15,15,LOG(P1),23,NEWBUILT,age,A_structural,dummy,binary,0.192023,0.024329,7.892637,0.0,,,,high,1 if dwelling sold in the construction year or within two years after construction,log asked price per m2 (P1),per_m2,OLS,320.0,0.331336,se,Other region; 6 county dummies + year dummies; price type: listing
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T16,16,LOG(P2),23,M2,living_area,A_structural,level,m2,-5.21e-06,9.54e-07,-5.461383,0.0,,,,high,Floor area in m2; dependent variable is log price per m2; Coefficient of order 1e-6/1e-7: likely unit inconsistency of M2 in this subsample; recorded as printed,log realized price per m2 (P2),per_m2,OLS,320.0,0.327567,se,Other region; 6 county dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T16,16,LOG(P2),23,ROOMS,bedrooms,A_structural,level,count,-0.018994,0.013385,-1.419035,0.1569,,,,high,Number of rooms (not bedrooms),log realized price per m2 (P2),per_m2,OLS,320.0,0.327567,se,Other region; 6 county dummies + year dummies; price type: transaction
f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c,f2f2e8d4e0c68be7054271b21b3018d65c7e131c:T16,16,LOG(P2),23,NEWBUILT,age,A_structural,dummy,binary,0.216455,0.051607,4.194316,0.0,,,,high,1 if dwelling sold in the construction year or within two years after construction,log realized price per m2 (P2),per_m2,OLS,320.0,0.327567,se,Other region; 6 county dummies + year dummies; price type: transaction
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SQFT2,living_area,A_structural,dummy,binary,0.154,,28.7,0.0,,,,high,"2nd square-footage quintile (1312-1580 sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SQFT3,living_area,A_structural,dummy,binary,0.284,,47.61,0.0,,,,high,"3rd square-footage quintile (1581-1930 sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SQFT4,living_area,A_structural,dummy,binary,0.449,,63.84,0.0,,,,high,"4th square-footage quintile (1931-2541 sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SQFT5,living_area,A_structural,dummy,binary,0.666,,74.79,0.0,,,,high,"5th square-footage quintile (2542+ sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,ONEBEDROOM,bedrooms,A_structural,dummy,binary,-0.149,,-8.06,0.0,,,,high,"One bedroom; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,TWOBEDROOMS,bedrooms,A_structural,dummy,binary,0.02,,2.67,0.008,,,,high,"Two bedrooms; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,FOURBEDROOMS,bedrooms,A_structural,dummy,binary,-0.025,,-5.72,0.0,,,,high,"Four bedrooms; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,FIVEBEDROOMS,bedrooms,A_structural,dummy,binary,-0.064,,-6.67,0.0,,,,high,"Five bedrooms; base three bedrooms; printed as 'FIV EBEDROOMS'; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SIXPLUSBEDROOMS,bedrooms,A_structural,dummy,binary,-0.105,,-3.26,0.001,,,,high,"Six or more bedrooms; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,TWOFULLBATH,bathrooms,A_structural,dummy,binary,0.16,,19.75,0.0,,,,high,"Two full bathrooms; base one full bath; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,THREEFULLBATH,bathrooms,A_structural,dummy,binary,0.298,,29.34,0.0,,,,high,"Three full bathrooms; base one; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,FOURFULLBATH,bathrooms,A_structural,dummy,binary,0.516,,34.15,0.0,,,,high,"Four full bathrooms; base one; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,FIVEPLUSFULLBATH,bathrooms,A_structural,dummy,binary,0.739,,24.97,0.0,,,,high,"Five or more full bathrooms; base one; printed as 'FIV EPLUSFULLBATH'; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,ONEHALFBATH,bathrooms,A_structural,dummy,binary,0.089,,21.89,0.0,,,,high,"One half bathroom; base zero half baths; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,TWOHALFBATH,bathrooms,A_structural,dummy,binary,0.18,,9.47,0.0,,,,high,"Two half bathrooms; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,THREEHALFBATH,bathrooms,A_structural,dummy,binary,0.425,,3.65,0.0,,,,high,"Three half bathrooms; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,FOURPLUSHALFBATH,bathrooms,A_structural,dummy,binary,0.164,,2.83,0.005,,,,high,"Four or more half bathrooms; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,FIREPLACE,fireplace,B_interior,dummy,binary,0.099,,25.42,0.0,,,,high,"Presence of a fireplace; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,ONEGARAGE,garage,A_structural,dummy,binary,0.073,,13.16,0.0,,,,high,"One garage space; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,TWOGARAGE,garage,A_structural,dummy,binary,0.163,,31.66,0.0,,,,high,"Two garage spaces; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,THREEPLUSGARAGE,garage,A_structural,dummy,binary,0.316,,31.74,0.0,,,,high,"Three or more garage spaces; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,6-10YEARS,age,A_structural,dummy,binary,-0.02,,-4.53,0.0,,,,high,"House 6-10 years old at sale; base 2-5 years; printed as '6 -10Y EARS'; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,11-25YEARS,age,A_structural,dummy,binary,-0.048,,-9.67,0.0,,,,high,"House 11-25 years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,26-50YEARS,age,A_structural,dummy,binary,-0.108,,-16.06,0.0,,,,high,"House 26-50 years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,51-100YEARS,age,A_structural,dummy,binary,-0.059,,-5.49,0.0,,,,high,"House 51-100 years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,101+YEARS,age,A_structural,dummy,binary,0.047,,2.45,0.014,,,,high,"House 101 or more years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,POOL,pool,C_exterior,dummy,binary,0.089,,12.44,0.0,,,,high,"Swimming pool; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,WATERFRONT,waterfront,C_exterior,dummy,binary,0.198,,34.6,0.0,,,,high,"Marketed as waterfront property; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,CONDO,dwelling_type,A_structural,dummy,binary,-0.092,,-13.38,0.0,,,,high,"Condominium/townhouse vs single-family; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SLR1,flood_risk,E_environment,dummy,binary,-0.025,,-1.86,0.062,,,,high,"Inundated with 0-1 ft sea level rise; base NORISK (>6 ft); robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SLR2,flood_risk,E_environment,dummy,binary,-0.077,,-3.45,0.001,,,,high,"Inundated with 1.01-2 ft SLR; base NORISK; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SLR3,flood_risk,E_environment,dummy,binary,-0.022,,-1.42,0.156,,,,high,"Inundated with 2.01-3 ft SLR; base NORISK; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SLR4,flood_risk,E_environment,dummy,binary,0.0,,0.04,0.965,,,,high,"Inundated with 3.01-4 ft SLR; base NORISK; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SLR5,flood_risk,E_environment,dummy,binary,0.006,,0.69,0.487,,,,high,"Inundated with 4.01-5 ft SLR; base NORISK; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M1,3,Model 1,7,SLR6,flood_risk,E_environment,dummy,binary,0.005,,0.63,0.528,,,,high,"Inundated with 5.01-6 ft SLR; base NORISK; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; six SLR inundation-band dummies (SLR1-SLR6); t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,SQFT2,living_area,A_structural,dummy,binary,0.154,,28.75,0.0,,,,high,"2nd square-footage quintile (1312-1580 sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,SQFT3,living_area,A_structural,dummy,binary,0.285,,47.7,0.0,,,,high,"3rd square-footage quintile (1581-1930 sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,SQFT4,living_area,A_structural,dummy,binary,0.449,,63.93,0.0,,,,high,"4th square-footage quintile (1931-2541 sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,SQFT5,living_area,A_structural,dummy,binary,0.666,,74.9,0.0,,,,high,"5th square-footage quintile (2542+ sqft); base 0-1311 sqft; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,ONEBEDROOM,bedrooms,A_structural,dummy,binary,-0.149,,-8.08,0.0,,,,high,"One bedroom; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,TWOBEDROOMS,bedrooms,A_structural,dummy,binary,0.02,,2.65,0.008,,,,high,"Two bedrooms; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,FOURBEDROOMS,bedrooms,A_structural,dummy,binary,-0.025,,-5.71,0.0,,,,high,"Four bedrooms; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,FIVEBEDROOMS,bedrooms,A_structural,dummy,binary,-0.064,,-6.68,0.0,,,,high,"Five bedrooms; base three bedrooms; printed as 'FIV EBEDROOMS'; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,SIXPLUSBEDROOMS,bedrooms,A_structural,dummy,binary,-0.105,,-3.25,0.001,,,,high,"Six or more bedrooms; base three bedrooms; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,TWOFULLBATH,bathrooms,A_structural,dummy,binary,0.159,,19.73,0.0,,,,high,"Two full bathrooms; base one full bath; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,THREEFULLBATH,bathrooms,A_structural,dummy,binary,0.298,,29.32,0.0,,,,high,"Three full bathrooms; base one; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,FOURFULLBATH,bathrooms,A_structural,dummy,binary,0.516,,34.14,0.0,,,,high,"Four full bathrooms; base one; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,FIVEPLUSFULLBATH,bathrooms,A_structural,dummy,binary,0.739,,24.97,0.0,,,,high,"Five or more full bathrooms; base one; printed as 'FIV EPLUSFULLBATH'; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,ONEHALFBATH,bathrooms,A_structural,dummy,binary,0.089,,21.88,0.0,,,,high,"One half bathroom; base zero half baths; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,TWOHALFBATH,bathrooms,A_structural,dummy,binary,0.18,,9.44,0.0,,,,high,"Two half bathrooms; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,THREEHALFBATH,bathrooms,A_structural,dummy,binary,0.425,,3.65,0.0,,,,high,"Three half bathrooms; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,FOURPLUSHALFBATH,bathrooms,A_structural,dummy,binary,0.163,,2.83,0.005,,,,high,"Four or more half bathrooms; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,FIREPLACE,fireplace,B_interior,dummy,binary,0.099,,25.42,0.0,,,,high,"Presence of a fireplace; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,ONEGARAGE,garage,A_structural,dummy,binary,0.073,,13.19,0.0,,,,high,"One garage space; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,TWOGARAGE,garage,A_structural,dummy,binary,0.163,,31.7,0.0,,,,high,"Two garage spaces; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,THREEPLUSGARAGE,garage,A_structural,dummy,binary,0.316,,31.77,0.0,,,,high,"Three or more garage spaces; base zero; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,6-10YEARS,age,A_structural,dummy,binary,-0.02,,-4.52,0.0,,,,high,"House 6-10 years old at sale; base 2-5 years; printed as '6 -10Y EARS'; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,11-25YEARS,age,A_structural,dummy,binary,-0.048,,-9.7,0.0,,,,high,"House 11-25 years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,26-50YEARS,age,A_structural,dummy,binary,-0.108,,-16.06,0.0,,,,high,"House 26-50 years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,51-100YEARS,age,A_structural,dummy,binary,-0.059,,-5.5,0.0,,,,high,"House 51-100 years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,101+YEARS,age,A_structural,dummy,binary,0.047,,2.45,0.014,,,,high,"House 101 or more years old; base 2-5 years; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,POOL,pool,C_exterior,dummy,binary,0.089,,12.47,0.0,,,,high,"Swimming pool; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,WATERFRONT,waterfront,C_exterior,dummy,binary,0.198,,34.55,0.0,,,,high,"Marketed as waterfront property; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,CONDO,dwelling_type,A_structural,dummy,binary,-0.091,,-13.49,0.0,,,,high,"Condominium/townhouse vs single-family; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,HIRISK,flood_risk,E_environment,dummy,binary,-0.031,,-3.17,0.002,,,,high,"Inundated with 0-3 ft SLR; base NORISK; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545,f326d0249d4fa4d2ec6af5feb9cf6966a73ca545:T3-M2,3,Model 2,7,LOWRISK,flood_risk,E_environment,dummy,binary,0.004,,0.69,0.493,,,,high,"Inundated with 3.01-6 ft SLR; base NORISK; robust SE (not printed), t and p printed","ln(real sales price, 2012 USD)",log,OLS,34807.0,0.788,t,Full sample; HIRISK and LOWRISK dummies; t and p in separate columns
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,ln (Distance to Transit Station),transit_distance,D_location,log,miles,-0.044,,,,***,,,high,"Log road-network distance (miles) to nearest NJ Transit station. Standardized Beta printed = -0.062. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,ln (Distance to New York Penn Station),cbd_distance,D_location,log,miles,-0.377,,,,***,,,high,"Log road-network distance (miles) to New York Penn Station (regional employment centre). Standardized Beta printed = -0.479. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,Beds,bedrooms,A_structural,level,count,0.248,,,,***,,,high,"Number of bedrooms; quadratic. Standardized Beta printed = 0.531. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,Beds²,bedrooms,A_structural,squared,count,-0.018,,,,***,,,high,"Bedrooms squared. Standardized Beta printed = -0.348. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,Age,age,A_structural,level,years,-0.008,,,,***,,,high,"Age of house at sale date; quadratic. Standardized Beta printed = -0.412. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,Age²,age,A_structural,squared,years,0.0,,,,***,,,low,"Age squared. Printed as .000 (rounded to zero). Standardized Beta printed = 0.256. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,Parking Spots,parking,A_structural,level,count,0.051,,,,***,,,high,"Number of parking spots. Standardized Beta printed = 0.145. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,14,Housing Size in 100 sqft,living_area,A_structural,level,100 sqft,0.014,,,,***,,,high,"Housing size in units of 100 square feet. Standardized Beta printed = 0.184. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,Walk Score,walkability,D_location,level,index,-0.001,,,,,,,high,"Walk Score (0-100); quadratic. Standardized Beta printed = -0.055. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,Walk Score²,walkability,D_location,squared,index,0.0,,,,,,,low,"Walk Score squared. Printed as .000 (rounded to zero). Standardized Beta printed = 0.003. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,Transit Village,other,other,binary,binary,-0.005,,,,,,,high,"Located in a designated NJ Transit Village. Standardized Beta printed = -0.002. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,Northeast Corridor Line,other,other,binary,binary,0.213,,,,***,,,high,"Nearest station is on the Northeast Corridor commuter-rail line (direct access to NY Penn). Standardized Beta printed = 0.093. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,Light Rail Transit,other,other,binary,binary,-0.098,,,,***,,,high,"Nearest transit station is a light rail station. Standardized Beta printed = -0.047. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,"Population Density in 1,000",density,F_neighbourhood,level,count,0.0,,,,,,,low,"Block-group population density divided by 1,000. Printed as .000 (rounded to zero). Standardized Beta printed = -0.01. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,Proportion of the White,demographics,F_neighbourhood,level,share,0.005,,,,***,,,high,"Percent non-Hispanic white in block group. Standardized Beta printed = 0.204. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c1,4,1,15,"Per Capita Income in $1,000s",income,F_neighbourhood,level,currency,0.01,,,,***,,,high,"Block-group per capita income in $1,000s (USD). Standardized Beta printed = 0.347. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1780.0,0.699,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,ln (Distance to Transit Station),transit_distance,D_location,log,miles,-0.041,,,,**,,,high,"Log road-network distance (miles) to nearest NJ Transit station. Standardized Beta printed = -0.057. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,ln (Distance to New York Penn Station),cbd_distance,D_location,log,miles,-0.381,,,,***,,,high,"Log road-network distance (miles) to New York Penn Station (regional employment centre). Standardized Beta printed = -0.439. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,Beds,bedrooms,A_structural,level,count,0.167,,,,***,,,high,"Number of bedrooms; quadratic. Standardized Beta printed = 0.337. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,Beds²,bedrooms,A_structural,squared,count,-0.011,,,,***,,,high,"Bedrooms squared. Standardized Beta printed = -0.211. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,Age,age,A_structural,level,years,-0.008,,,,***,,,high,"Age of house at sale date; quadratic. Standardized Beta printed = -0.409. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,Age²,age,A_structural,squared,years,0.0,,,,***,,,low,"Age squared. Printed as .000 (rounded to zero). Standardized Beta printed = 0.254. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,Parking Spots,parking,A_structural,level,count,0.046,,,,***,,,high,"Number of parking spots. Standardized Beta printed = 0.137. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,14,Housing Size in 100 sqft,living_area,A_structural,level,100 sqft,0.013,,,,***,,,high,"Housing size in units of 100 square feet. Standardized Beta printed = 0.179. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,Walk Score,walkability,D_location,level,index,-0.001,,,,,,,high,"Walk Score (0-100); quadratic. Standardized Beta printed = -0.031. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,Walk Score²,walkability,D_location,squared,index,0.0,,,,,,,low,"Walk Score squared. Printed as .000 (rounded to zero). Standardized Beta printed = -0.018. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,Transit Village,other,other,binary,binary,0.012,,,,,,,high,"Located in a designated NJ Transit Village. Standardized Beta printed = 0.006. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,Northeast Corridor Line,other,other,binary,binary,0.194,,,,***,,,high,"Nearest station is on the Northeast Corridor commuter-rail line (direct access to NY Penn). Standardized Beta printed = 0.087. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,Light Rail Transit,other,other,binary,binary,-0.106,,,,**,,,high,"Nearest transit station is a light rail station. Standardized Beta printed = -0.042. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,"Population Density in 1,000",density,F_neighbourhood,level,count,0.0,,,,,,,low,"Block-group population density divided by 1,000. Printed as .000 (rounded to zero). Standardized Beta printed = -0.004. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,Proportion of the White,demographics,F_neighbourhood,level,share,0.005,,,,***,,,high,"Percent non-Hispanic white in block group. Standardized Beta printed = 0.223. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c2,4,2,15,"Per Capita Income in $1,000s",income,F_neighbourhood,level,currency,0.01,,,,***,,,high,"Block-group per capita income in $1,000s (USD). Standardized Beta printed = 0.357. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,1501.0,0.697,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,ln (Distance to Transit Station),transit_distance,D_location,log,miles,-0.028,,,,,,,high,"Log road-network distance (miles) to nearest NJ Transit station. Standardized Beta printed = -0.037. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,ln (Distance to New York Penn Station),cbd_distance,D_location,log,miles,-0.416,,,,***,,,high,"Log road-network distance (miles) to New York Penn Station (regional employment centre). Standardized Beta printed = -0.594. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,Beds,bedrooms,A_structural,level,count,0.331,,,,***,,,high,"Number of bedrooms; quadratic. Standardized Beta printed = 0.465. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,Beds²,bedrooms,A_structural,squared,count,-0.039,,,,**,,,high,"Bedrooms squared. Standardized Beta printed = -0.329. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,Age,age,A_structural,level,years,-0.011,,,,***,,,high,"Age of house at sale date; quadratic. Standardized Beta printed = -0.538. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,Age²,age,A_structural,squared,years,0.0,,,,**,,,low,"Age squared. Printed as .000 (rounded to zero). Standardized Beta printed = 0.379. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,Parking Spots,parking,A_structural,level,count,0.144,,,,***,,,high,"Number of parking spots. Standardized Beta printed = 0.187. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,14,Housing Size in 100 sqft,living_area,A_structural,level,100 sqft,0.024,,,,***,,,high,"Housing size in units of 100 square feet. Standardized Beta printed = 0.211. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,Walk Score,walkability,D_location,level,index,-0.007,,,,**,,,high,"Walk Score (0-100); quadratic. Standardized Beta printed = -0.312. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,Walk Score²,walkability,D_location,squared,index,0.0,,,,**,,,low,"Walk Score squared. Printed as .000 (rounded to zero). Standardized Beta printed = 0.347. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,Transit Village,other,other,binary,binary,0.02,,,,,,,high,"Located in a designated NJ Transit Village. Standardized Beta printed = 0.01. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,Northeast Corridor Line,other,other,binary,binary,0.237,,,,**,,,high,"Nearest station is on the Northeast Corridor commuter-rail line (direct access to NY Penn). Standardized Beta printed = 0.088. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,Light Rail Transit,other,other,binary,binary,-0.099,,,,,,,high,"Nearest transit station is a light rail station. Standardized Beta printed = -0.065. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,"Population Density in 1,000",density,F_neighbourhood,level,count,0.0,,,,,,,low,"Block-group population density divided by 1,000. Printed as .000 (rounded to zero). Standardized Beta printed = 0.0. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,Proportion of the White,demographics,F_neighbourhood,level,share,0.002,,,,*,,,high,"Percent non-Hispanic white in block group. Standardized Beta printed = 0.063. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T4-c3,4,3,15,"Per Capita Income in $1,000s",income,F_neighbourhood,level,currency,0.009,,,,***,,,high,"Block-group per capita income in $1,000s (USD). Standardized Beta printed = 0.345. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","ln(Housing Price), July 2018 sale price",log,OLS,279.0,0.771,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,ln (Distance to Transit Station),transit_distance,D_location,log,miles,-34.0,,,,***,,,high,"Log road-network distance (miles) to nearest NJ Transit station. Standardized Beta printed = -0.104. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,ln (Distance to New York Penn Station),cbd_distance,D_location,log,miles,-99.463,,,,***,,,high,"Log road-network distance (miles) to New York Penn Station (regional employment centre). Standardized Beta printed = -0.277. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Beds,bedrooms,A_structural,level,count,88.008,,,,***,,,high,"Number of bedrooms; quadratic. Standardized Beta printed = 0.413. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Beds²,bedrooms,A_structural,squared,count,-6.354,,,,***,,,high,"Bedrooms squared. Standardized Beta printed = -0.268. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Age,age,A_structural,level,years,-3.903,,,,***,,,high,"Age of house at sale date; quadratic. Standardized Beta printed = -0.446. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Age²,age,A_structural,squared,years,0.021,,,,***,,,high,"Age squared. Standardized Beta printed = 0.321. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Parking Spots,parking,A_structural,level,count,19.685,,,,***,,,high,"Number of parking spots. Standardized Beta printed = 0.123. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Housing Size in 100 sqft,living_area,A_structural,level,100 sqft,8.633,,,,***,,,high,"Housing size in units of 100 square feet. Standardized Beta printed = 0.258. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Walk Score,walkability,D_location,level,index,-1.374,,,,**,,,high,"Walk Score (0-100); quadratic. Standardized Beta printed = -0.135. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Walk Score²,walkability,D_location,squared,index,0.015,,,,**,,,high,"Walk Score squared. Standardized Beta printed = 0.148. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Transit Village,other,other,binary,binary,-47.069,,,,**,,,high,"Located in a designated NJ Transit Village. Standardized Beta printed = -0.052. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Northeast Corridor Line,other,other,binary,binary,78.728,,,,***,,,high,"Nearest station is on the Northeast Corridor commuter-rail line (direct access to NY Penn). Standardized Beta printed = 0.075. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,21,Light Rail Transit,other,other,binary,binary,-10.033,,,,,,,high,"Nearest transit station is a light rail station. Standardized Beta printed = -0.011. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,22,"Population Density in 1,000",density,F_neighbourhood,level,count,1.167,,,,**,,,high,"Block-group population density divided by 1,000. Standardized Beta printed = 0.057. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,22,Proportion of the White,demographics,F_neighbourhood,level,share,1.193,,,,***,,,high,"Percent non-Hispanic white in block group. Standardized Beta printed = 0.107. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c1,7,1,22,"Per Capita Income in $1,000s",income,F_neighbourhood,level,currency,5.63,,,,***,,,high,"Block-group per capita income in $1,000s (USD). Standardized Beta printed = 0.427. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1780.0,0.641,none,All residential properties (Model 1)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,ln (Distance to Transit Station),transit_distance,D_location,log,miles,-33.876,,,,***,,,high,"Log road-network distance (miles) to nearest NJ Transit station. Standardized Beta printed = -0.103. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,ln (Distance to New York Penn Station),cbd_distance,D_location,log,miles,-97.568,,,,***,,,high,"Log road-network distance (miles) to New York Penn Station (regional employment centre). Standardized Beta printed = -0.245. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Beds,bedrooms,A_structural,level,count,54.563,,,,***,,,high,"Number of bedrooms; quadratic. Standardized Beta printed = 0.24. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Beds²,bedrooms,A_structural,squared,count,-3.232,,,,**,,,high,"Bedrooms squared. Standardized Beta printed = -0.14. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Age,age,A_structural,level,years,-3.707,,,,***,,,high,"Age of house at sale date; quadratic. Standardized Beta printed = -0.412. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Age²,age,A_structural,squared,years,0.019,,,,***,,,high,"Age squared. Standardized Beta printed = 0.29. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Parking Spots,parking,A_structural,level,count,19.854,,,,***,,,high,"Number of parking spots. Standardized Beta printed = 0.129. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Housing Size in 100 sqft,living_area,A_structural,level,100 sqft,8.123,,,,***,,,high,"Housing size in units of 100 square feet. Standardized Beta printed = 0.243. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Walk Score,walkability,D_location,level,index,-1.327,,,,*,,,high,"Walk Score (0-100); quadratic. Standardized Beta printed = -0.127. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Walk Score²,walkability,D_location,squared,index,0.014,,,,*,,,high,"Walk Score squared. Standardized Beta printed = 0.13. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Transit Village,other,other,binary,binary,-36.421,,,,**,,,high,"Located in a designated NJ Transit Village. Standardized Beta printed = -0.04. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Northeast Corridor Line,other,other,binary,binary,83.4,,,,***,,,high,"Nearest station is on the Northeast Corridor commuter-rail line (direct access to NY Penn). Standardized Beta printed = 0.082. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,21,Light Rail Transit,other,other,binary,binary,-2.271,,,,,,,high,"Nearest transit station is a light rail station. Standardized Beta printed = -0.002. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,22,"Population Density in 1,000",density,F_neighbourhood,level,count,1.966,,,,**,,,high,"Block-group population density divided by 1,000. Standardized Beta printed = 0.069. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,22,Proportion of the White,demographics,F_neighbourhood,level,share,1.478,,,,***,,,high,"Percent non-Hispanic white in block group. Standardized Beta printed = 0.137. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c2,7,2,22,"Per Capita Income in $1,000s",income,F_neighbourhood,level,currency,5.984,,,,***,,,high,"Block-group per capita income in $1,000s (USD). Standardized Beta printed = 0.444. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,1501.0,0.638,none,Single-family housing (Model 2)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,ln (Distance to Transit Station),transit_distance,D_location,log,miles,-11.717,,,,,,,high,"Log road-network distance (miles) to nearest NJ Transit station. Standardized Beta printed = -0.034. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,ln (Distance to New York Penn Station),cbd_distance,D_location,log,miles,-125.284,,,,***,,,high,"Log road-network distance (miles) to New York Penn Station (regional employment centre). Standardized Beta printed = -0.4. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Beds,bedrooms,A_structural,level,count,104.778,,,,**,,,high,"Number of bedrooms; quadratic. Standardized Beta printed = 0.329. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Beds²,bedrooms,A_structural,squared,count,-9.423,,,,,,,high,"Bedrooms squared. Standardized Beta printed = -0.178. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Age,age,A_structural,level,years,-7.071,,,,***,,,high,"Age of house at sale date; quadratic. Standardized Beta printed = -0.74. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Age²,age,A_structural,squared,years,0.047,,,,***,,,high,"Age squared. Standardized Beta printed = 0.608. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Parking Spots,parking,A_structural,level,count,15.695,,,,,,,high,"Number of parking spots. Standardized Beta printed = 0.046. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Housing Size in 100 sqft,living_area,A_structural,level,100 sqft,15.393,,,,***,,,high,"Housing size in units of 100 square feet. Standardized Beta printed = 0.295. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Walk Score,walkability,D_location,level,index,-2.622,,,,,,,high,"Walk Score (0-100); quadratic. Standardized Beta printed = -0.258. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Walk Score²,walkability,D_location,squared,index,0.035,,,,**,,,high,"Walk Score squared. Standardized Beta printed = 0.384. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Transit Village,other,other,binary,binary,-63.014,,,,*,,,high,"Located in a designated NJ Transit Village. Standardized Beta printed = -0.071. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Northeast Corridor Line,other,other,binary,binary,1.938,,,,,,,high,"Nearest station is on the Northeast Corridor commuter-rail line (direct access to NY Penn). Standardized Beta printed = 0.002. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,21,Light Rail Transit,other,other,binary,binary,-68.5,,,,**,,,high,"Nearest transit station is a light rail station. Standardized Beta printed = -0.101. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,22,"Population Density in 1,000",density,F_neighbourhood,level,count,0.87,,,,,,,high,"Block-group population density divided by 1,000. Standardized Beta printed = 0.067. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,22,Proportion of the White,demographics,F_neighbourhood,level,share,-1.155,,,,**,,,high,"Percent non-Hispanic white in block group. Standardized Beta printed = -0.088. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05,f34b3a1e2f48af6ea9bd6c13d722fba48077ca05:T7-c3,7,3,22,"Per Capita Income in $1,000s",income,F_neighbourhood,level,currency,5.403,,,,***,,,high,"Block-group per capita income in $1,000s (USD). Standardized Beta printed = 0.439. Stars only (* p<0.10, ** p<0.05, *** p<0.001).","Housing Price in $1,000",level,OLS,279.0,0.73,none,Apartments and condos (Model 3)
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c1,5,1,21,Age,age,A_structural,level,years,243.99,47.25,,,***,,,high,"WTP in EUR per additional year of building age (marginal WTP, Eq. 9); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,68070.0,0.775,se,"Ask data (IS24 listings), district dummies, year dummies, no spatial smooth; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c2,5,2,21,Age,age,A_structural,level,years,-78.96,43.88,,,,,,high,"WTP in EUR per additional year of building age (marginal WTP, Eq. 9); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,59502.0,0.816,se,"Ask data, thin-plate spline f4(LAT,LON) instead of district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c3,5,3,21,Age,age,A_structural,level,years,-1173.73,103.73,,,***,,,high,"WTP in EUR per additional year of building age (marginal WTP, Eq. 9); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12524.0,0.665,se,"Sale data (GAA transactions), district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c4,5,4,21,Age,age,A_structural,level,years,-1461.39,106.05,,,***,,,high,"WTP in EUR per additional year of building age (marginal WTP, Eq. 9); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.731,se,"Sale data, spatial smooth f4(LAT,LON), year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Age,age,A_structural,level,years,-1562.89,110.14,,,***,,,high,"WTP in EUR per additional year of building age (marginal WTP, Eq. 9); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c1,5,1,21,Floor area,living_area,A_structural,level,m2,1419.07,10.39,,,***,,,high,"WTP in EUR per additional m2 of floor area (exterior floor area; IS24 interior area converted with factor 1.25); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,68070.0,0.775,se,"Ask data (IS24 listings), district dummies, year dummies, no spatial smooth; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c2,5,2,21,Floor area,living_area,A_structural,level,m2,1293.92,7.41,,,***,,,high,"WTP in EUR per additional m2 of floor area (exterior floor area; IS24 interior area converted with factor 1.25); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,59502.0,0.816,se,"Ask data, thin-plate spline f4(LAT,LON) instead of district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c3,5,3,21,Floor area,living_area,A_structural,level,m2,1047.99,17.46,,,***,,,high,"WTP in EUR per additional m2 of floor area (exterior floor area; IS24 interior area converted with factor 1.25); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12524.0,0.665,se,"Sale data (GAA transactions), district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c4,5,4,21,Floor area,living_area,A_structural,level,m2,906.73,14.82,,,***,,,high,"WTP in EUR per additional m2 of floor area (exterior floor area; IS24 interior area converted with factor 1.25); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.731,se,"Sale data, spatial smooth f4(LAT,LON), year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Floor area,living_area,A_structural,level,m2,830.24,16.87,,,***,,,high,"WTP in EUR per additional m2 of floor area (exterior floor area; IS24 interior area converted with factor 1.25); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c1,5,1,21,Plot area,lot_size,A_structural,level,m2,1465.18,7.95,,,***,,,high,"WTP in EUR per additional m2 of plot area; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,68070.0,0.775,se,"Ask data (IS24 listings), district dummies, year dummies, no spatial smooth; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c2,5,2,21,Plot area,lot_size,A_structural,level,m2,1380.25,7.46,,,***,,,high,"WTP in EUR per additional m2 of plot area; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,59502.0,0.816,se,"Ask data, thin-plate spline f4(LAT,LON) instead of district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c3,5,3,21,Plot area,lot_size,A_structural,level,m2,1152.82,18.14,,,***,,,high,"WTP in EUR per additional m2 of plot area; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12524.0,0.665,se,"Sale data (GAA transactions), district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c4,5,4,21,Plot area,lot_size,A_structural,level,m2,1011.7,14.6,,,***,,,high,"WTP in EUR per additional m2 of plot area; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.731,se,"Sale data, spatial smooth f4(LAT,LON), year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Plot area,lot_size,A_structural,level,m2,940.84,16.79,,,***,,,high,"WTP in EUR per additional m2 of plot area; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c1,5,1,21,Detached,dwelling_type,A_structural,binary,binary,6881.76,1424.74,,,***,,,high,"WTP in EUR for a detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,68070.0,0.775,se,"Ask data (IS24 listings), district dummies, year dummies, no spatial smooth; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c2,5,2,21,Detached,dwelling_type,A_structural,binary,binary,17771.6,1263.12,,,***,,,high,"WTP in EUR for a detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,59502.0,0.816,se,"Ask data, thin-plate spline f4(LAT,LON) instead of district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c3,5,3,21,Detached,dwelling_type,A_structural,binary,binary,-7918.0,2468.32,,,**,,,high,"WTP in EUR for a detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12524.0,0.665,se,"Sale data (GAA transactions), district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c4,5,4,21,Detached,dwelling_type,A_structural,binary,binary,4130.49,2198.43,,,,,,high,"WTP in EUR for a detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.731,se,"Sale data, spatial smooth f4(LAT,LON), year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Detached,dwelling_type,A_structural,binary,binary,6546.97,2999.16,,,**,,,high,"WTP in EUR for a detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c1,5,1,21,Semi-detached,dwelling_type,A_structural,binary,binary,-1042.73,1205.12,,,,,,high,"WTP in EUR for a semi-detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,68070.0,0.775,se,"Ask data (IS24 listings), district dummies, year dummies, no spatial smooth; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c2,5,2,21,Semi-detached,dwelling_type,A_structural,binary,binary,5074.97,1011.21,,,***,,,high,"WTP in EUR for a semi-detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log ask price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,59502.0,0.816,se,"Ask data, thin-plate spline f4(LAT,LON) instead of district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type listing"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c3,5,3,21,Semi-detached,dwelling_type,A_structural,binary,binary,-8160.82,2630.25,,,**,,,high,"WTP in EUR for a semi-detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12524.0,0.665,se,"Sale data (GAA transactions), district dummies, year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c4,5,4,21,Semi-detached,dwelling_type,A_structural,binary,binary,3741.82,2315.45,,,,,,high,"WTP in EUR for a semi-detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.731,se,"Sale data, spatial smooth f4(LAT,LON), year dummies; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Semi-detached,dwelling_type,A_structural,binary,binary,3705.94,2158.45,,,,,,high,"WTP in EUR for a semi-detached house vs terraced (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Listed,other,other,binary,binary,12599.23,3702.38,,,**,,,high,"WTP in EUR for a listed (heritage-protected) building; printed name 'Listed'; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Prefabricated,roof_materials,A_structural,binary,binary,-6544.52,1686.19,,,***,,,high,"WTP in EUR for a prefabricated construction; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Converted attic,other,other,binary,binary,3426.77,1141.96,,,**,,,high,"WTP in EUR for a converted attic (attic fitted out as living space); printed name 'Converted attic'; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Swimming pool,pool,C_exterior,binary,binary,14744.26,5509.92,,,**,,,high,"WTP in EUR for a swimming pool; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Flat roof,roof_materials,A_structural,binary,binary,-5158.22,1426.43,,,***,,,high,"WTP in EUR for a flat roof; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,No basement,basement,A_structural,binary,binary,-21888.12,1724.46,,,***,,,high,"WTP in EUR for having NO basement (reverse-coded: dummy = 1 when basement absent); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Backland develop.,other,other,binary,binary,396.67,1363.94,,,,,,high,"WTP in EUR for backland (rear-plot) development; printed name 'Backland develop.'; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Waterfront,waterfront,C_exterior,binary,binary,59947.35,6417.56,,,***,,,high,"WTP in EUR for a waterfront location; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Poor condition,condition,A_structural,binary,binary,-53313.91,2341.98,,,***,,,high,"WTP in EUR for poor building condition vs average (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Good condition,condition,A_structural,binary,binary,29031.33,1657.96,,,***,,,high,"WTP in EUR for good building condition vs average (base); effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Poor amenities,luxury_finishes,B_interior,binary,binary,-6263.71,1720.23,,,***,,,high,"WTP in EUR for poor fit-out/equipment quality (Ausstattung) vs average; fitting grade, not neighbourhood amenities; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Good amenities,luxury_finishes,B_interior,binary,binary,16298.74,2243.77,,,***,,,high,"WTP in EUR for good fit-out/equipment quality vs average; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8,f8260edb97a0dbb7c5a255fca59c10da9cde8ca8:T5-c5,5,5,21,Excel. amenities,luxury_finishes,B_interior,binary,binary,37654.98,9613.84,,,***,,,high,"WTP in EUR for excellent fit-out/equipment quality vs average; effect-size family: monetary marginal price (EUR), derived from a log-price semiparametric model, star legend *** 0.001, ** 0.01, * 0.05","log sale price (EUR) in the semiparametric additive model Eq. (6); Table 5 reports average marginal WILLINGNESS TO PAY in EUR (Eq. 9 continuous / Eq. 10 discrete), not raw coefficients",other,other,12218.0,0.761,se,"Sale data, spatial smooth, year dummies, buyer/seller-type dummies and extended characteristics only available in the GAA data; penalised least squares (cubic regression splines); SE from pairs bootstrap (200 replications); r2 = adjusted R2; price type transaction"
fb704039a7cb48f523fc8649b0477ed96bedc7f7,fb704039a7cb48f523fc8649b0477ed96bedc7f7,fb704039a7cb48f523fc8649b0477ed96bedc7f7:T3-c1,3,M1 (Total population row),13,Floodplain (= 1),flood_risk,E_environment,dummy,binary,-0.056,,,,,,,medium,coefficient on 100-year floodplain dummy from the full-sample regression ('Total population' row of Table 3); no SE or significance printed; for M1 and M2 the text states the floodplain coefficient 'was controlled for the interaction terms' with the post-Fran and post-Floyd period dummies (exact adjustment not specified); other hedonic coefficients of the models are not printed,ln sales price (USD),log,OLS,4779.0,,none,"full sample (N = 4779), Pitt County NC single-family sales 1992-2002; full traditional hedonic: age, bedrooms, lot size, structure sqft each as X + X^2, amenity dummies, log distances (creek, airport, major road, business centre, railroad, Tar River, park), sale-period dummies, floodplain and floodplain x period interactions; Monte Carlo sub-sample rows of Table 3 not extracted (resampling averages)"
fb704039a7cb48f523fc8649b0477ed96bedc7f7,fb704039a7cb48f523fc8649b0477ed96bedc7f7,fb704039a7cb48f523fc8649b0477ed96bedc7f7:T3-c2,3,M2 (Total population row),13,Floodplain (= 1),flood_risk,E_environment,dummy,binary,-0.056,,,,,,,medium,coefficient on 100-year floodplain dummy from the full-sample regression ('Total population' row of Table 3); no SE or significance printed; for M1 and M2 the text states the floodplain coefficient 'was controlled for the interaction terms' with the post-Fran and post-Floyd period dummies (exact adjustment not specified); other hedonic coefficients of the models are not printed,ln sales price (USD),log,OLS,4779.0,,none,"full sample (N = 4779), Pitt County NC single-family sales 1992-2002; as M1 but X + sqrt(X) (age, bedrooms, lot size) and X + ln(X) (structure sqft); Monte Carlo sub-sample rows of Table 3 not extracted (resampling averages)"
fb704039a7cb48f523fc8649b0477ed96bedc7f7,fb704039a7cb48f523fc8649b0477ed96bedc7f7,fb704039a7cb48f523fc8649b0477ed96bedc7f7:T3-c3,3,M3 & M4 (Total population row),13,Floodplain (= 1),flood_risk,E_environment,dummy,binary,-0.054,,,,,,,medium,coefficient on 100-year floodplain dummy from the full-sample regression ('Total population' row of Table 3); no SE or significance printed; for M1 and M2 the text states the floodplain coefficient 'was controlled for the interaction terms' with the post-Fran and post-Floyd period dummies (exact adjustment not specified); other hedonic coefficients of the models are not printed,ln sales price (USD),log,other,4779.0,,none,"full sample (N = 4779), Pitt County NC single-family sales 1992-2002; reduced model: age, bedrooms, sqrt(lot size), ln(structure sqft), floodplain dummy; M4 additionally kriges residuals for spatial variation (floodplain coefficient identical for M3 and M4); Monte Carlo sub-sample rows of Table 3 not extracted (resampling averages)"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T3-c1,3,1,14,Airbnb_Phase1_Ring1,other,other,level,count,0.0034,0.0002,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in the sale month and 3 prior months; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 1 (Eq. 1), Airbnb measure (1) Active; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T3-c2,3,2,14,Airbnb_Phase1_Ring1,other,other,level,count,0.0035,0.0002,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in the sale month and 3 prior months; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 1 (Eq. 1), Airbnb measure (2) Positive Occupancy; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T3-c3,3,3,14,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0169,0.0018,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in the sale month and 3 prior months; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 1 (Eq. 1), Airbnb measure (3) Sum of reservations; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c1,4,1,16,Airbnb_Phase1_Ring1,other,other,level,count,0.0033,0.0006,,,***,,,high,"Short-term rental density: count of active Airbnb listings within 0-300 m, months S to S-3; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (1) Active; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c1,4,1,16,Airbnb_Phase2_Ring1,other,other,level,count,-0.0006,0.0008,,,,,,high,"Short-term rental density: count of active Airbnb listings within 0-300 m, months S-4 to S-7; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (1) Active; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c1,4,1,16,Airbnb_Phase3_Ring1,other,other,level,count,0.0008,0.0007,,,,,,high,"Short-term rental density: count of active Airbnb listings within 0-300 m, months S-8 to S-11; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (1) Active; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c2,4,2,16,Airbnb_Phase1_Ring1,other,other,level,count,0.0019,0.0005,,,***,,,high,"Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m, months S to S-3; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (2) Positive Occupancy; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c2,4,2,16,Airbnb_Phase2_Ring1,other,other,level,count,0.0011,0.0006,,,*,,,high,"Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m, months S-4 to S-7; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (2) Positive Occupancy; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c2,4,2,16,Airbnb_Phase3_Ring1,other,other,level,count,0.0012,0.0005,,,**,,,high,"Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m, months S-8 to S-11; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (2) Positive Occupancy; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c3,4,3,16,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0101,0.003,,,***,,,high,"Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m, months S to S-3; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (3) Sum of reservations; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c3,4,3,16,Airbnb_Phase2_Ring1,other,other,level,hundreds of reservations,0.0067,0.004,,,*,,,high,"Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m, months S-4 to S-7; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (3) Sum of reservations; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T4-c3,4,3,16,Airbnb_Phase3_Ring1,other,other,level,hundreds of reservations,0.0055,0.0038,,,,,,high,"Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m, months S-8 to S-11; bootstrap SE",ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 2 time effect (Eq. 2), Airbnb measure (3) Sum of reservations; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c1,5,1,17,Airbnb_Phase1_Ring1,other,other,level,count,0.0036,0.0002,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (1) Active; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c1,5,1,17,Airbnb_Phase1_Ring2,other,other,level,count,0.0008,0.0003,,,***,,,high,Short-term rental density: count of active Airbnb listings within 300-500 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (1) Active; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c1,5,1,17,Airbnb_Phase1_Ring3,other,other,level,count,-0.0007,0.0001,,,***,,,high,Short-term rental density: count of active Airbnb listings within 500-1000 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (1) Active; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c2,5,2,17,Airbnb_Phase1_Ring1,other,other,level,count,0.0038,0.0003,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (2) Positive Occupancy; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c2,5,2,17,Airbnb_Phase1_Ring2,other,other,level,count,0.0008,0.0003,,,**,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 300-500 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (2) Positive Occupancy; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c2,5,2,17,Airbnb_Phase1_Ring3,other,other,level,count,-0.0008,0.0001,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 500-1000 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (2) Positive Occupancy; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c3,5,3,17,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0183,0.0022,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (3) Sum of reservations; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c3,5,3,17,Airbnb_Phase1_Ring2,other,other,level,hundreds of reservations,0.0112,0.0027,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 300-500 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (3) Sum of reservations; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T5-c3,5,3,17,Airbnb_Phase1_Ring3,other,other,level,hundreds of reservations,-0.0069,0.0009,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 500-1000 m in months S to S-3; bootstrap SE,ln(inflation-adjusted house sale price),log,OLS,102142.0,0.789,se,"Model 3 distance effect (Eq. 3), Airbnb measure (3) Sum of reservations; adj. R2"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q10,6,"row Measure (1), quantile 0.1",18,Airbnb_Phase1_Ring1,other,other,level,count,0.003,0.0007,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.1; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.1, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q20,6,"row Measure (1), quantile 0.2",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0018,0.0005,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.2; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.2, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q30,6,"row Measure (1), quantile 0.3",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0017,0.0004,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.3; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.3, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q40,6,"row Measure (1), quantile 0.4",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0023,0.0003,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.4; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.4, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q50,6,"row Measure (1), quantile 0.5",18,Airbnb_Phase1_Ring1,other,other,level,count,0.003,0.0003,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.5; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.5, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q60,6,"row Measure (1), quantile 0.6",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0041,0.0003,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.6; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.6, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q70,6,"row Measure (1), quantile 0.7",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0059,0.0003,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.7; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.7, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q80,6,"row Measure (1), quantile 0.8",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0053,0.0004,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.8; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.8, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m1-q90,6,"row Measure (1), quantile 0.9",18,Airbnb_Phase1_Ring1,other,other,level,count,0.004,0.0005,,,***,,,high,Short-term rental density: count of active Airbnb listings within 0-300 m in months S to S-3; UQR at quantile 0.9; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.9, Airbnb measure (1) Active"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q10,6,"row Measure (2), quantile 0.1",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0031,0.0009,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.1; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.1, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q20,6,"row Measure (2), quantile 0.2",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0017,0.0005,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.2; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.2, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q30,6,"row Measure (2), quantile 0.3",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0015,0.0005,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.3; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.3, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q40,6,"row Measure (2), quantile 0.4",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0022,0.0004,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.4; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.4, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q50,6,"row Measure (2), quantile 0.5",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0029,0.0003,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.5; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.5, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q60,6,"row Measure (2), quantile 0.6",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0041,0.0004,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.6; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.6, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q70,6,"row Measure (2), quantile 0.7",18,Airbnb_Phase1_Ring1,other,other,level,count,0.006,0.0004,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.7; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.7, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q80,6,"row Measure (2), quantile 0.8",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0058,0.0004,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.8; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.8, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m2-q90,6,"row Measure (2), quantile 0.9",18,Airbnb_Phase1_Ring1,other,other,level,count,0.0045,0.0005,,,***,,,high,Short-term rental density: count of Airbnb listings with at least one reservation within 0-300 m in months S to S-3; UQR at quantile 0.9; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.9, Airbnb measure (2) Positive Occupancy"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q10,6,"row Measure (3), quantile 0.1",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0123,0.0063,,,*,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.1; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.1, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q20,6,"row Measure (3), quantile 0.2",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.002,0.0039,,,,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.2; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.2, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q30,6,"row Measure (3), quantile 0.3",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0002,0.0034,,,,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.3; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.3, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q40,6,"row Measure (3), quantile 0.4",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0077,0.0028,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.4; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.4, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q50,6,"row Measure (3), quantile 0.5",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0139,0.0025,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.5; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.5, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q60,6,"row Measure (3), quantile 0.6",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0228,0.0026,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.6; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.6, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q70,6,"row Measure (3), quantile 0.7",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0356,0.003,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.7; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.7, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q80,6,"row Measure (3), quantile 0.8",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0361,0.0032,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.8; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.8, Airbnb measure (3) Sum of reservations"
fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c,fb8eee688ea40496609ebe82ad7180db4acffe2c:T6-m3-q90,6,"row Measure (3), quantile 0.9",18,Airbnb_Phase1_Ring1,other,other,level,hundreds of reservations,0.0312,0.004,,,***,,,high,Short-term rental density: number of Airbnb reservations in hundreds within 0-300 m in months S to S-3; UQR at quantile 0.9; bootstrap SE,ln(inflation-adjusted house sale price),log,quantile,102142.0,,se,"Unconditional quantile regression (RIF) at tau=0.9, Airbnb measure (3) Sum of reservations"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,NRM,bedrooms,A_structural,level,count,-0.009,,,0.331,,,,high,Number of rooms,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,NRM,bedrooms,A_structural,level,count,-0.021,,,0.001,***,,,high,Number of rooms,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,NBT,bathrooms,A_structural,level,count,0.07,,,0.0,***,,,high,Number of bathrooms,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,NBT,bathrooms,A_structural,level,count,0.034,,,0.001,***,,,high,Number of bathrooms,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,LTR = 1,terrace_balcony,C_exterior,dummy,binary,0.081,,,0.0,***,,,high,Large terrace present,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,LTR = 1,terrace_balcony,C_exterior,dummy,binary,0.085,,,0.0,***,,,high,Large terrace present,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,NVW,view,E_environment,level,count,0.017,,,0.17,,,,high,Number of views (exposures),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,NVW,view,E_environment,level,count,0.031,,,0.001,***,,,high,Number of views (exposures),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,CSS = 1,other,other,dummy,binary,0.128,,,0.0,***,,,high,Custodian (concierge) service,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,CSS = 1,other,other,dummy,binary,0.047,,,0.001,***,,,high,Custodian (concierge) service,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,PNT = 1,dwelling_type,A_structural,dummy,binary,0.092,,,0.014,*,,,high,Penthouse,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,PNT = 1,dwelling_type,A_structural,dummy,binary,0.09,,,0.0,***,,,high,Penthouse,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,CBX = 1,garage,A_structural,dummy,binary,0.019,,,0.293,,,,high,Car box,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,CBX = 1,garage,A_structural,dummy,binary,0.057,,,0.0,***,,,high,Car box,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,LFT = 1,accessibility,B_interior,dummy,binary,0.069,,,0.0,***,,,high,Lift,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,LFT = 1,accessibility,B_interior,dummy,binary,0.111,,,0.0,***,,,high,Lift,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,CTP = 1,age,A_structural,dummy,binary,0.016,,,0.392,,,,high,"Construction period <=1945 (ref. CTP=3, 1976-now)",LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,CTP = 1,age,A_structural,dummy,binary,-0.034,,,0.013,*,,,high,"Construction period <=1945 (ref. CTP=3, 1976-now)",LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,CTP = 2,age,A_structural,dummy,binary,-0.1,,,0.0,***,,,high,Construction period 1946-1975 (ref. CTP=3 in Table 3; sole CTP dummy in Tables 4),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,CTP = 2,age,A_structural,dummy,binary,-0.07,,,0.0,***,,,high,Construction period 1946-1975 (ref. CTP=3 in Table 3; sole CTP dummy in Tables 4),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,MTL = 1,condition,A_structural,dummy,binary,-0.053,,,0.031,*,,,high,Maintenance: to renovate (ref. MTL=2 partially to renovate),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,MTL = 1,condition,A_structural,dummy,binary,-0.057,,,0.001,***,,,high,Maintenance: to renovate (ref. MTL=2 partially to renovate),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,MTL = 3,condition,A_structural,dummy,binary,0.099,,,0.0,***,,,high,Maintenance: good (ref. MTL=2),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,MTL = 3,condition,A_structural,dummy,binary,0.096,,,0.0,***,,,high,Maintenance: good (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,MTL = 4,condition,A_structural,dummy,binary,0.199,,,0.0,***,,,high,Maintenance: renovated (ref. MTL=2),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,MTL = 4,condition,A_structural,dummy,binary,0.181,,,0.0,***,,,high,Maintenance: renovated (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,BLC = 2,condition,A_structural,dummy,binary,0.194,,,0.0,***,,,high,Building category: economic (ref. BLC=1 tenement),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,BLC = 2,condition,A_structural,dummy,binary,0.1,,,0.001,***,,,high,Building category: economic (ref. BLC=1 tenement),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,BLC = 3,condition,A_structural,dummy,binary,0.388,,,0.0,***,,,high,Building category: medium (ref. BLC=1),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,BLC = 3,condition,A_structural,dummy,binary,0.159,,,0.0,***,,,high,Building category: medium (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,BLC = 4,condition,A_structural,dummy,binary,0.606,,,0.0,***,,,high,Building category: noble (ref. BLC=1),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,BLC = 4,condition,A_structural,dummy,binary,0.205,,,0.0,***,,,high,Building category: noble (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,BLC = 5,condition,A_structural,dummy,binary,0.831,,,0.0,***,,,high,Building category: prestigious (ref. BLC=1),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,BLC = 5,condition,A_structural,dummy,binary,0.251,,,0.0,***,,,high,Building category: prestigious (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,BLT = 1,dwelling_type,A_structural,dummy,binary,0.088,,,0.005,**,,,high,Building type: detached house/villa (ref. condominium),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,BLT = 1,dwelling_type,A_structural,dummy,binary,0.096,,,0.0,***,,,high,Building type: detached house/villa (ref. condominium),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,ARC = 1,air_conditioning,A_structural,dummy,binary,0.054,,,0.017,*,,,high,Air-conditioning system,LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,ARC = 1,air_conditioning,A_structural,dummy,binary,0.045,,,0.004,**,,,high,Air-conditioning system,LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,EPC = 3,energy_efficiency,A_structural,dummy,binary,0.025,,,0.585,,,,high,"High EPC labels A-A4/B (ref. EPC=2 C-D, except NZ where ref. is EPC=1)",LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,EPC = 3,energy_efficiency,A_structural,dummy,binary,0.062,,,0.05,*,,,high,"High EPC labels A-A4/B (ref. EPC=2 C-D, except NZ where ref. is EPC=1)",LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c1,3,1 (OLS),15,EPC = 1,energy_efficiency,A_structural,dummy,binary,-0.033,,,0.018,*,,,high,Low EPC labels E/F/G (ref. EPC=2 C-D),LogLP: log listing price per m2,log,OLS,2092.0,0.537,p,complete sample
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T3-c2,3,2 (SEM),15,EPC = 1,energy_efficiency,A_structural,dummy,binary,-0.027,,,0.005,**,,,high,Low EPC labels E/F/G (ref. EPC=2 C-D),LogLP: log listing price per m2,log,spatial_error,2092.0,0.754,p,complete sample; lambda=0.797
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,NRM,bedrooms,A_structural,level,count,-0.033,,,0.0,***,,,high,Number of rooms,LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,NBT,bathrooms,A_structural,level,count,0.043,,,0.001,***,,,high,Number of bathrooms,LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,LTR = 1,terrace_balcony,C_exterior,dummy,binary,0.093,,,0.0,***,,,high,Large terrace present,LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,NVW,view,E_environment,level,count,0.029,,,0.019,**,,,high,Number of views (exposures); stars printed '**' although p=0.019 (legend '**' = p<=0.01) — recorded as printed,LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,ALL = 2,floor_level,A_structural,dummy,binary,0.06,,,0.001,***,,,high,Allocation level: intermediate floor (ref. lower),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,ALL = 3,floor_level,A_structural,dummy,binary,0.054,,,0.001,***,,,high,Allocation level: higher floor (ref. lower),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,PNT = 1,dwelling_type,A_structural,dummy,binary,0.096,,,0.003,**,,,high,Penthouse,LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,LFT = 1,accessibility,B_interior,dummy,binary,0.091,,,0.0,***,,,high,Lift,LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,MTL = 3,condition,A_structural,dummy,binary,0.101,,,0.0,***,,,high,Maintenance: good (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,MTL = 4,condition,A_structural,dummy,binary,0.154,,,0.0,***,,,high,Maintenance: renovated (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,BLT = 1,dwelling_type,A_structural,dummy,binary,0.072,,,0.036,*,,,high,Building type: detached house/villa (ref. condominium),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,BLC = 4,condition,A_structural,dummy,binary,0.06,,,0.0,***,,,high,Building category: noble (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,BLC = 5,condition,A_structural,dummy,binary,0.138,,,0.0,***,,,high,Building category: prestigious (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,CTP = 2,age,A_structural,dummy,binary,-0.069,,,0.001,**,,,high,Construction period 1946-1975 (ref. CTP=3 in Table 3; sole CTP dummy in Tables 4),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,EPC = 3,energy_efficiency,A_structural,dummy,binary,0.039,,,0.544,,,,high,"High EPC labels A-A4/B (ref. EPC=2 C-D, except NZ where ref. is EPC=1)",LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,EPC = 1,energy_efficiency,A_structural,dummy,binary,-0.037,,,0.049,*,,,high,Low EPC labels E/F/G (ref. EPC=2 C-D),LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-CZ,4,Central Zone (SEM),17,ARC = 1,air_conditioning,A_structural,dummy,binary,0.083,,,0.014,*,,,high,Air-conditioning system,LogLP: log listing price per m2,log,spatial_error,886.0,0.583,p,Central Zone LISA high-high cluster; stepwise selection; lambda=0.627
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,CSS = 1,other,other,dummy,binary,0.082,,,0.025,*,,,high,Custodian (concierge) service,LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,CBX = 1,garage,A_structural,dummy,binary,0.063,,,0.025,*,,,high,Car box,LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,LTR = 1,terrace_balcony,C_exterior,dummy,binary,0.105,,,0.001,***,,,high,Large terrace present,LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,LFT = 1,accessibility,B_interior,dummy,binary,0.144,,,0.0,***,,,high,Lift,LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,MTL = 1,condition,A_structural,dummy,binary,-0.093,,,0.002,***,,,high,Maintenance: to renovate (ref. MTL=2 partially to renovate),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,MTL = 3,condition,A_structural,dummy,binary,0.089,,,0.001,***,,,high,Maintenance: good (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,MTL = 4,condition,A_structural,dummy,binary,0.21,,,0.0,***,,,high,Maintenance: renovated (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,BLT = 1,dwelling_type,A_structural,dummy,binary,0.217,,,0.0,***,,,high,Building type: detached house/villa (ref. condominium),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,BLC = 4,condition,A_structural,dummy,binary,0.266,,,0.0,***,,,high,Building category: noble (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,BLC = 5,condition,A_structural,dummy,binary,0.281,,,0.001,***,,,high,Building category: prestigious (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,BLC = 2,condition,A_structural,dummy,binary,0.125,,,0.009,**,,,high,Building category: economic (ref. BLC=1 tenement),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,BLC = 3,condition,A_structural,dummy,binary,0.18,,,0.0,***,,,high,Building category: medium (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,CTP = 2,age,A_structural,dummy,binary,-0.045,,,0.015,*,,,high,Construction period 1946-1975 (ref. CTP=3 in Table 3; sole CTP dummy in Tables 4),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,EPC = 3,energy_efficiency,A_structural,dummy,binary,0.079,,,0.054,.,,,high,"High EPC labels A-A4/B (ref. EPC=2 C-D, except NZ where ref. is EPC=1)",LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,EPC = 2,energy_efficiency,A_structural,dummy,binary,0.031,,,0.034,*,,,high,Medium EPC labels C-D (ref. EPC=1 E-G in NZ model),LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T4-NZ,4,Northern Zone (SEM),17,ARC = 1,air_conditioning,A_structural,dummy,binary,0.024,,,0.245,,,,high,Air-conditioning system,LogLP: log listing price per m2,log,spatial_error,660.0,0.603,p,Northern Zone LISA low-low cluster; stepwise selection; lambda=0.65
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,LTR = 1,terrace_balcony,C_exterior,dummy,binary,0.149,,,0.001,***,,,high,Large terrace present,LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,CSS = 1,other,other,dummy,binary,0.146,,,0.003,**,,,high,Custodian (concierge) service,LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,CBX = 1,garage,A_structural,dummy,binary,0.114,,,0.004,**,,,high,Car box,LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,LFT = 1,accessibility,B_interior,dummy,binary,0.09,,,0.016,*,,,high,Lift,LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,MTL = 3,condition,A_structural,dummy,binary,0.116,,,0.0,***,,,high,Maintenance: good (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,MTL = 4,condition,A_structural,dummy,binary,0.189,,,0.0,***,,,high,Maintenance: renovated (ref. MTL=2),LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,BLC = 3,condition,A_structural,dummy,binary,0.128,,,0.0,***,,,high,Building category: medium (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,BLC = 4,condition,A_structural,dummy,binary,0.214,,,0.0,***,,,high,Building category: noble (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,BLC = 5,condition,A_structural,dummy,binary,0.387,,,0.001,***,,,high,Building category: prestigious (ref. BLC=1),LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215,fb9d007b500b1eff5cd9c2ed633d123752bd4215:T5-LEE,5,SEM,18,ARC = 1,air_conditioning,A_structural,dummy,binary,0.143,,,0.005,**,,,high,Air-conditioning system,LogLP: log listing price per m2,log,spatial_error,234.0,0.718,p,"Low energy-efficient sub-sample (EPC E-G, built 1946-1990); lambda=0.739"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,AREA,living_area,A_structural,level,m2,0.4507,0.4957,0.909,0.364,,,,high,"Finished interior area in m2 (2012 survey); dependent variable is a value PER m2, so the coefficient measures the unit-value size effect","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,Q_POS,other,other,level,index,7.8002,9.0757,0.859,0.3908,,,,high,"Composite position-quality index (panoramic views, distance from other buildings/daylighting, apartment floor level); printed name Q_POS; no single taxonomy leaf","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,Q_TYP,condition,A_structural,level,index,13.5892,11.9822,1.134,0.2577,,,,high,"Composite typological-quality index (building and apartment maintenance level, construction quality, equipment/mechanical systems, building age)","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,DISCOAST,water_proximity,E_environment,level,m,-0.0371,0.0297,-1.248,0.213,,,,high,Distance from the coastline in metres,"CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,DENSITY,density,F_neighbourhood,level,residents per km2,-0.0021,0.0017,-1.27,0.2052,,,,high,Population density in the census tract (2001 census),"CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,FOR_2012,demographics,F_neighbourhood,level,count,0.1165,0.1406,0.829,0.4077,,,,high,Number of permanent foreign residents in the neighbourhood (2012),"CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,RES_2012,other,other,level,count,-0.0037,0.0086,-0.433,0.6651,,,,high,Number of residents in the neighbourhood (2012); printed name RES_2012 (neighbourhood population size),"CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,PL_ZONE,other,other,binary,binary,-200.8341,147.2615,-1.364,0.1737,,,,high,Dummy = 1 if located in a residential completion ('B') area of the Masterplan; printed name PL_ZONE (planning/zoning),"CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,A_ZONE,other,other,level,m2,-0.0035,0.0045,-0.784,0.4337,,,,high,"Area of Masterplan 'A' (historic centre) zone within a 150 m buffer, m2; printed name A_ZONE (zoning)","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,B_ZONE,other,other,level,m2,-0.005,0.003,-1.687,0.0927,,,,high,"Area of Masterplan 'B' (residential completion) zone within a 150 m buffer, m2; printed name B_ZONE (zoning)","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,C_ZONE,other,other,level,m2,-0.0018,0.0089,-0.206,0.837,,,,high,"Area of Masterplan 'C' (residential expansion) zone within a 150 m buffer, m2; printed name C_ZONE (zoning)","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,EZ_ZONE,other,other,level,m2,0.0076,0.0057,1.325,0.1863,,,,high,"Area of Masterplan 'EZ' zone within a 150 m buffer, m2; printed name EZ_ZONE (zoning)","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,MIXUSE,other,other,level,share,-2.2312,1.9821,-1.126,0.2612,,,,high,Percent area of the 'IS' (services) zone within a 150 m buffer; printed name MIXUSE (zoning / mixed use),"CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,PARKS,green_space,E_environment,level,m2,8.8e-05,0.0001,0.588,0.5572,,,,high,"Area of 'S3' and recreational 'G' (park) zones within an 800 m buffer, printed unit m2 (Table 3 mean 24.17 suggests a rescaled unit, e.g. hectares; unit as printed)","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T4-c1,4,1,40,LC_URB,other,other,level,m2,0.0016,0.0022,0.713,0.4763,,,,high,"Artificial surfaces / urban fabric (CORINE 2008, code 1.1) in the neighbourhood, m2; printed name LC_URB (land cover)","CAD_VAL: Cadastral assessed value (EUR/m2), 2013 cadastral register",per_m2,spatial_lag,304.0,0.09,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (cadastral); OLS with spatially lagged dependent variable as regressor (CAD_LAG 0.3395 (0.1458)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,AREA,living_area,A_structural,level,m2,-2.8768,0.4852,-5.929,0.0,,,,high,"Finished interior area in m2 (2012 survey); dependent variable is a value PER m2, so the coefficient measures the unit-value size effect",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,Q_POS,other,other,level,index,71.349,8.9995,7.928,0.0,,,,high,"Composite position-quality index (panoramic views, distance from other buildings/daylighting, apartment floor level); printed name Q_POS; no single taxonomy leaf",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,Q_TYP,condition,A_structural,level,index,43.0423,11.8714,3.626,0.0003,,,,high,"Composite typological-quality index (building and apartment maintenance level, construction quality, equipment/mechanical systems, building age)",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,DISCOAST,water_proximity,E_environment,level,m,-0.0822,0.0305,-2.696,0.0074,,,,high,Distance from the coastline in metres,EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,DENSITY,density,F_neighbourhood,level,residents per km2,-0.0048,0.0017,-2.903,0.004,,,,high,Population density in the census tract (2001 census),EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,FOR_2012,demographics,F_neighbourhood,level,count,0.3796,0.1425,2.663,0.0082,,,,high,Number of permanent foreign residents in the neighbourhood (2012),EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,RES_2012,other,other,level,count,-0.0164,0.0086,-1.912,0.0569,,,,high,Number of residents in the neighbourhood (2012); printed name RES_2012 (neighbourhood population size),EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,PL_ZONE,other,other,binary,binary,-237.8951,146.9027,-1.619,0.1065,,,,high,Dummy = 1 if located in a residential completion ('B') area of the Masterplan; printed name PL_ZONE (planning/zoning),EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,A_ZONE,other,other,level,m2,-0.006,0.0045,-1.348,0.1787,,,,high,"Area of Masterplan 'A' (historic centre) zone within a 150 m buffer, m2; printed name A_ZONE (zoning)",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,B_ZONE,other,other,level,m2,-0.0059,0.003,-1.99,0.0475,,,,high,"Area of Masterplan 'B' (residential completion) zone within a 150 m buffer, m2; printed name B_ZONE (zoning)",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,C_ZONE,other,other,level,m2,-0.0179,0.0088,-2.039,0.0423,,,,high,"Area of Masterplan 'C' (residential expansion) zone within a 150 m buffer, m2; printed name C_ZONE (zoning)",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,EZ_ZONE,other,other,level,m2,-0.0088,0.0056,-1.557,0.1205,,,,high,"Area of Masterplan 'EZ' zone within a 150 m buffer, m2; printed name EZ_ZONE (zoning)",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,MIXUSE,other,other,level,share,-5.7069,1.9711,-2.895,0.0041,,,,high,Percent area of the 'IS' (services) zone within a 150 m buffer; printed name MIXUSE (zoning / mixed use),EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,PARKS,green_space,E_environment,level,m2,0.0002,0.0001,1.524,0.1287,,,,high,"Area of 'S3' and recreational 'G' (park) zones within an 800 m buffer, printed unit m2 (Table 3 mean 24.17 suggests a rescaled unit, e.g. hectares; unit as printed)",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T5-c1,5,1,41,LC_URB,other,other,level,m2,-0.0002,0.0022,-0.081,0.9357,,,,high,"Artificial surfaces / urban fabric (CORINE 2008, code 1.1) in the neighbourhood, m2; printed name LC_URB (land cover)",EST_VAL: Market value (EUR/m2) estimated for each apartment by the authors' appraisal regression within market areas (2013 direct survey),per_m2,spatial_lag,304.0,0.5208,se,"Full sample of 304 apartments, Cagliari; price type: appraisal; OLS with spatially lagged dependent variable as regressor (EST_LAG 0.4775 (0.0630)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,AREA,living_area,A_structural,level,m2,-0.4112,0.219,-1.878,0.0614,,,,medium,"Finished interior area in m2 (2012 survey); dependent variable is a value PER m2, so the coefficient measures the unit-value size effect ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,Q_POS,other,other,level,index,21.5585,4.0668,5.301,0.0,,,,medium,"Composite position-quality index (panoramic views, distance from other buildings/daylighting, apartment floor level); printed name Q_POS; no single taxonomy leaf ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,Q_TYP,condition,A_structural,level,index,1.995,5.3698,0.372,0.7105,,,,medium,"Composite typological-quality index (building and apartment maintenance level, construction quality, equipment/mechanical systems, building age) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,DISCOAST,water_proximity,E_environment,level,m,-0.0838,0.014,-5.986,0.0,,,,medium,"Distance from the coastline in metres ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,DENSITY,density,F_neighbourhood,level,residents per km2,-0.0009,0.0008,-1.168,0.2436,,,,medium,"Population density in the census tract (2001 census) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,FOR_2012,demographics,F_neighbourhood,level,count,0.1709,0.0633,2.698,0.0074,,,,medium,"Number of permanent foreign residents in the neighbourhood (2012) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,RES_2012,other,other,level,count,-0.019,0.0039,-4.934,0.0,,,,medium,"Number of residents in the neighbourhood (2012); printed name RES_2012 (neighbourhood population size) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,PL_ZONE,other,other,binary,binary,-171.1874,66.21,-2.586,0.0102,,,,medium,"Dummy = 1 if located in a residential completion ('B') area of the Masterplan; printed name PL_ZONE (planning/zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,A_ZONE,other,other,level,m2,-0.0034,0.002,-1.679,0.0943,,,,medium,"Area of Masterplan 'A' (historic centre) zone within a 150 m buffer, m2; printed name A_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,B_ZONE,other,other,level,m2,-0.0025,0.0013,-1.861,0.0637,,,,medium,"Area of Masterplan 'B' (residential completion) zone within a 150 m buffer, m2; printed name B_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,C_ZONE,other,other,level,m2,-0.0077,0.004,-1.936,0.0538,,,,medium,"Area of Masterplan 'C' (residential expansion) zone within a 150 m buffer, m2; printed name C_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,EZ_ZONE,other,other,level,m2,-0.0066,0.0026,-2.603,0.0097,,,,medium,"Area of Masterplan 'EZ' zone within a 150 m buffer, m2; printed name EZ_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,MIXUSE,other,other,level,share,-3.7663,0.8908,-4.228,0.0,,,,medium,"Percent area of the 'IS' (services) zone within a 150 m buffer; printed name MIXUSE (zoning / mixed use) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,PARKS,green_space,E_environment,level,m2,0.0003,6.7e-05,4.638,0.0,,,,medium,"Area of 'S3' and recreational 'G' (park) zones within an 800 m buffer, printed unit m2 (Table 3 mean 24.17 suggests a rescaled unit, e.g. hectares; unit as printed) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T6-c1,6,1,42,LC_URB,other,other,level,m2,-0.0006,0.001,-0.637,0.5245,,,,medium,"Artificial surfaces / urban fabric (CORINE 2008, code 1.1) in the neighbourhood, m2; printed name LC_URB (land cover) ; dependent variable is an OMI zone-average value, not an apartment-specific price",OMI_VAL: Market value (EUR/m2) from the OMI (Osservatorio del Mercato Immobiliare) average zone value range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.6725,se,"Full sample of 304 apartments, Cagliari; price type: appraisal (zone average); OLS with spatially lagged dependent variable as regressor (OMI_LAG 0.3096 (0.0353)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,AREA,living_area,A_structural,level,m2,-0.0017,0.0007,-2.492,0.0133,,,,medium,"Finished interior area in m2 (2012 survey); dependent variable is a value PER m2, so the coefficient measures the unit-value size effect ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,Q_POS,other,other,level,index,0.0852,0.0129,6.618,0.0,,,,medium,"Composite position-quality index (panoramic views, distance from other buildings/daylighting, apartment floor level); printed name Q_POS; no single taxonomy leaf ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,Q_TYP,condition,A_structural,level,index,0.0138,0.017,0.814,0.4163,,,,medium,"Composite typological-quality index (building and apartment maintenance level, construction quality, equipment/mechanical systems, building age) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,DISCOAST,water_proximity,E_environment,level,m,-0.0002,4.31e-05,-4.187,0.0,,,,medium,"Distance from the coastline in metres ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,DENSITY,density,F_neighbourhood,level,residents per km2,-2.91e-07,2.38e-06,-0.122,0.9029,,,,medium,"Population density in the census tract (2001 census) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,FOR_2012,demographics,F_neighbourhood,level,count,0.0005,0.0002,2.68,0.0078,,,,medium,"Number of permanent foreign residents in the neighbourhood (2012) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,RES_2012,other,other,level,count,-8.04e-05,1.22e-05,-6.591,0.0,,,,medium,"Number of residents in the neighbourhood (2012); printed name RES_2012 (neighbourhood population size) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,PL_ZONE,other,other,binary,binary,-0.5894,0.2092,-2.817,0.0052,,,,medium,"Dummy = 1 if located in a residential completion ('B') area of the Masterplan; printed name PL_ZONE (planning/zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,A_ZONE,other,other,level,m2,-4.33e-06,6.36e-06,-0.681,0.4965,,,,medium,"Area of Masterplan 'A' (historic centre) zone within a 150 m buffer, m2; printed name A_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,B_ZONE,other,other,level,m2,-1.01e-05,4.24e-06,-2.385,0.0177,,,,medium,"Area of Masterplan 'B' (residential completion) zone within a 150 m buffer, m2; printed name B_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,C_ZONE,other,other,level,m2,-3.22e-05,1.26e-05,-2.558,0.0111,,,,medium,"Area of Masterplan 'C' (residential expansion) zone within a 150 m buffer, m2; printed name C_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,EZ_ZONE,other,other,level,m2,-2.52e-05,8.06e-06,-3.131,0.0019,,,,medium,"Area of Masterplan 'EZ' zone within a 150 m buffer, m2; printed name EZ_ZONE (zoning) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,MIXUSE,other,other,level,share,-0.0089,0.0028,-3.149,0.0018,,,,medium,"Percent area of the 'IS' (services) zone within a 150 m buffer; printed name MIXUSE (zoning / mixed use) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,PARKS,green_space,E_environment,level,m2,7.25e-07,2.09e-07,3.479,0.0006,,,,medium,"Area of 'S3' and recreational 'G' (park) zones within an 800 m buffer, printed unit m2 (Table 3 mean 24.17 suggests a rescaled unit, e.g. hectares; unit as printed) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T7-c1,7,1,43,LC_URB,other,other,level,m2,-4.73e-06,3.1e-06,-1.523,0.1289,,,,medium,"Artificial surfaces / urban fabric (CORINE 2008, code 1.1) in the neighbourhood, m2; printed name LC_URB (land cover) ; dependent variable is an OMI zone-average value, not an apartment-specific price",RENT_VAL: Rent value (EUR/m2 per month) from the OMI average zone rent range - a zone-level average assigned to each apartment,per_m2,spatial_lag,304.0,0.581,se,"Full sample of 304 apartments, Cagliari; price type: rent (zone average); OLS with spatially lagged dependent variable as regressor (RENT_LAG 0.2300 (0.0347)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,AREA,living_area,A_structural,level,m2,0.388,0.2667,1.454,0.1469,,,,high,"Finished interior area in m2 (2012 survey); dependent variable is a value PER m2, so the coefficient measures the unit-value size effect","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,Q_POS,other,other,level,index,-2.3448,4.9547,-0.473,0.6364,,,,high,"Composite position-quality index (panoramic views, distance from other buildings/daylighting, apartment floor level); printed name Q_POS; no single taxonomy leaf","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,Q_TYP,condition,A_structural,level,index,-2.0876,6.5567,-0.318,0.7504,,,,high,"Composite typological-quality index (building and apartment maintenance level, construction quality, equipment/mechanical systems, building age)","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,DISCOAST,water_proximity,E_environment,level,m,-0.0849,0.0179,-4.738,0.0,,,,high,Distance from the coastline in metres,"SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,DENSITY,density,F_neighbourhood,level,residents per km2,-0.0019,0.0009,-2.052,0.0411,,,,high,Population density in the census tract (2001 census),"SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,FOR_2012,demographics,F_neighbourhood,level,count,0.2017,0.0775,2.602,0.0098,,,,high,Number of permanent foreign residents in the neighbourhood (2012),"SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,RES_2012,other,other,level,count,-0.0191,0.0047,-4.078,0.0001,,,,high,Number of residents in the neighbourhood (2012); printed name RES_2012 (neighbourhood population size),"SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,PL_ZONE,other,other,binary,binary,-128.324,80.6387,-1.591,0.1126,,,,high,Dummy = 1 if located in a residential completion ('B') area of the Masterplan; printed name PL_ZONE (planning/zoning),"SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,A_ZONE,other,other,level,m2,-0.0026,0.0025,-1.072,0.2844,,,,high,"Area of Masterplan 'A' (historic centre) zone within a 150 m buffer, m2; printed name A_ZONE (zoning)","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,B_ZONE,other,other,level,m2,-0.0046,0.0016,-2.805,0.0054,,,,high,"Area of Masterplan 'B' (residential completion) zone within a 150 m buffer, m2; printed name B_ZONE (zoning)","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,C_ZONE,other,other,level,m2,-0.008,0.0048,-1.652,0.0997,,,,high,"Area of Masterplan 'C' (residential expansion) zone within a 150 m buffer, m2; printed name C_ZONE (zoning)","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,EZ_ZONE,other,other,level,m2,-0.0092,0.0031,-2.966,0.0033,,,,high,"Area of Masterplan 'EZ' zone within a 150 m buffer, m2; printed name EZ_ZONE (zoning)","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,MIXUSE,other,other,level,share,-5.0426,1.0845,-4.65,0.0,,,,high,Percent area of the 'IS' (services) zone within a 150 m buffer; printed name MIXUSE (zoning / mixed use),"SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,PARKS,green_space,E_environment,level,m2,0.0006,8.8e-05,6.936,0.0,,,,high,"Area of 'S3' and recreational 'G' (park) zones within an 800 m buffer, printed unit m2 (Table 3 mean 24.17 suggests a rescaled unit, e.g. hectares; unit as printed)","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d,fc9d39b019f0526d9688d6cea3c777de313aea1d:T8-c1,8,1,44,LC_URB,other,other,level,m2,-0.0011,0.0012,-0.891,0.3736,,,,high,"Artificial surfaces / urban fabric (CORINE 2008, code 1.1) in the neighbourhood, m2; printed name LC_URB (land cover)","SUPP_VAL: Average list price (EUR/m2) of the nearest comparable apartments for sale, first semester 2013 (direct survey)",per_m2,spatial_lag,304.0,0.7514,se,"Full sample of 304 apartments, Cagliari; price type: listing; OLS with spatially lagged dependent variable as regressor (SUPP_LAG 0.4332 (0.0383)); r2 is adjusted R-squared; SE, t and p in separate columns"
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnLANDSIZE,lot_size,A_structural,log,m2,0.397,,4.381,,***,,,high,"plot area in m2, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnBUILDSIZE,living_area,A_structural,log,m2,0.353,,3.404,,***,,,high,"building area in m2, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnNUMROOM,bedrooms,A_structural,log,count,0.116,,1.121,,,,,high,"number of rooms (all rooms, not bedrooms specifically), log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,WSTRUCTDUM,roof_materials,A_structural,dummy,binary,-0.081,,-1.012,,,,,high,"dummy for wall structure (coding not described; mean 1.15); values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnDISSCHOOL,school_distance,D_location,log,m,-0.046,,-0.895,,,,,high,"distance from residence to nearest school, metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnDISHPITAL,hospital_distance,D_location,log,m,-0.163,,-2.936,,***,,,high,"distance to nearest hospital, metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnDISSPMARKET,commercial_distance,D_location,log,m,0.103,,1.918,,*,,,high,"distance to nearest supermarket, metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnDISREST,neighbourhood_amenities,F_neighbourhood,log,m,-0.155,,-3.606,,***,,,high,"distance to nearest restaurant, metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnDISCITY,cbd_distance,D_location,log,m,0.039,,0.68,,,,,high,"distance from city (centre), metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnDISMSTREET,highway_distance,D_location,log,m,0.091,,3.089,,***,,,high,"distance to main street, metres, log (positive = farther from main road is dearer); values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,GARDENDUM,green_space,E_environment,dummy,binary,0.261,,2.637,,***,,,high,"dummy for being close to a garden (coded 1/2 in Table 2, mean 1.79); values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c1,3,1 (Full Model),7,LnPM10,air_pollution,E_environment,log,ppm,-1.355,,-2.355,,**,,,medium,"PM10 concentration (printed unit 'ppm', mean 1,223.12), log; 2010 ambient monitoring data, kriged; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%; Full-model LnPM10 elasticity -1.355 differs sharply from fit-model -0.320 and text quotes -0.32",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,full specification; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,LnLANDSIZE,lot_size,A_structural,log,m2,0.396,,4.432,,***,,,high,"plot area in m2, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,LnBUILDSIZE,living_area,A_structural,log,m2,0.393,,3.915,,***,,,high,"building area in m2, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,LnDISHPITAL,hospital_distance,D_location,log,m,-0.16,,-3.115,,***,,,high,"distance to nearest hospital, metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,LnDISSPMARKET,commercial_distance,D_location,log,m,0.103,,1.975,,**,,,high,"distance to nearest supermarket, metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,LnDISREST,neighbourhood_amenities,F_neighbourhood,log,m,-0.16,,-3.999,,***,,,high,"distance to nearest restaurant, metres, log; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,LnDISMSTREET,highway_distance,D_location,log,m,0.092,,3.153,,***,,,high,"distance to main street, metres, log (positive = farther from main road is dearer); values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,GARDENDUM,green_space,E_environment,dummy,binary,0.232,,2.377,,**,,,high,"dummy for being close to a garden (coded 1/2 in Table 2, mean 1.79); values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)
fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366,fdf3432efb95e96e6e45a3ba105603f17a38d366:T3-c2,3,2 (Fit Model),7,LnPM10,air_pollution,E_environment,log,ppm,-0.32,,-2.806,,***,,,medium,"PM10 concentration (printed unit 'ppm', mean 1,223.12), log; 2010 ambient monitoring data, kriged; values in parentheses are t-statistics (no legend printed; consistent with coef/SE, e.g. constant 17.181 (17.689)); stars legend not printed, text implies *** 1%, ** 5%, * 10%; Full-model LnPM10 elasticity -1.355 differs sharply from fit-model -0.320 and text quotes -0.32",ln(PPRICE) sales price of house (Rupiah),log,OLS,250.0,0.606,t,'fit model': insignificant variables dropped; 250 household observations in Yogyakarta Special Territory; adjusted R2 printed (0.606)